Tue Jul 28 12:27:13 2020 at iteration: 0
Tue Jul 28 12:27:13 2020 n_samples: 369
Tue Jul 28 12:27:13 2020 at classifier: MNB
Tue Jul 28 12:27:56 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 12:27:56 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 12:27:56 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:27:56 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 12:27:56 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:27:56 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 12:27:56 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:27:56 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:27:56 2020 Best:
Tue Jul 28 12:27:56 2020 index: 4
Tue Jul 28 12:27:56 2020 score: 0.7084745762711865
Tue Jul 28 12:27:56 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:27:56 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 12:27:56 2020               precision    recall  f1-score   support

 concurrency       0.83      0.86      0.84        28
      memory       0.78      0.86      0.82        21
    semantic       0.86      0.76      0.81        25

    accuracy                           0.82        74
   macro avg       0.82      0.82      0.82        74
weighted avg       0.83      0.82      0.82        74

Tue Jul 28 12:27:56 2020 at classifier: LSVC
Tue Jul 28 12:28:19 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 12:28:19 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 12:28:19 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:28:19 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.09
Tue Jul 28 12:28:19 2020 Best:
Tue Jul 28 12:28:19 2020 index: 1
Tue Jul 28 12:28:19 2020 score: 0.7254237288135593
Tue Jul 28 12:28:19 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:28:19 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 12:28:19 2020               precision    recall  f1-score   support

 concurrency       0.74      0.82      0.78        28
      memory       0.81      0.62      0.70        21
    semantic       0.78      0.84      0.81        25

    accuracy                           0.77        74
   macro avg       0.78      0.76      0.76        74
weighted avg       0.77      0.77      0.77        74

Tue Jul 28 12:28:19 2020 at classifier: SGDC
Tue Jul 28 12:28:41 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 12:28:41 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.03
Tue Jul 28 12:28:41 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 12:28:41 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 12:28:41 2020 Best:
Tue Jul 28 12:28:41 2020 index: 2
Tue Jul 28 12:28:41 2020 score: 0.7322033898305085
Tue Jul 28 12:28:41 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:28:41 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 12:28:41 2020               precision    recall  f1-score   support

 concurrency       0.73      0.86      0.79        28
      memory       0.87      0.62      0.72        21
    semantic       0.81      0.84      0.82        25

    accuracy                           0.78        74
   macro avg       0.80      0.77      0.78        74
weighted avg       0.79      0.78      0.78        74

Tue Jul 28 12:28:41 2020 at classifier: RFC
Tue Jul 28 12:29:09 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 12:29:09 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.05
Tue Jul 28 12:29:09 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 12:29:09 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 12:29:09 2020 Best:
Tue Jul 28 12:29:09 2020 index: 0
Tue Jul 28 12:29:09 2020 score: 0.6711864406779661
Tue Jul 28 12:29:09 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:29:09 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 12:29:09 2020               precision    recall  f1-score   support

 concurrency       0.90      0.64      0.75        28
      memory       0.94      0.71      0.81        21
    semantic       0.61      0.92      0.73        25

    accuracy                           0.76        74
   macro avg       0.81      0.76      0.76        74
weighted avg       0.81      0.76      0.76        74

Tue Jul 28 12:29:09 2020 at classifier: LRC
Tue Jul 28 12:33:13 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:33:13 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:33:13 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 12:33:13 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 12:33:13 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:33:13 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:33:13 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 12:33:13 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:33:13 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 12:33:13 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 12:33:13 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 12:33:13 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 12:33:13 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 12:33:13 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 12:33:13 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:33:13 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 12:33:13 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 12:33:13 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 12:33:13 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 12:33:13 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:33:13 2020 Best:
Tue Jul 28 12:33:13 2020 index: 4
Tue Jul 28 12:33:13 2020 score: 0.7186440677966102
Tue Jul 28 12:33:13 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:33:13 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 12:33:14 2020               precision    recall  f1-score   support

 concurrency       0.72      0.82      0.77        28
      memory       0.81      0.62      0.70        21
    semantic       0.81      0.84      0.82        25

    accuracy                           0.77        74
   macro avg       0.78      0.76      0.76        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 12:33:14 2020 at iteration: 1
Tue Jul 28 12:33:14 2020 n_samples: 369
Tue Jul 28 12:33:14 2020 at classifier: MNB
Tue Jul 28 12:33:59 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:33:59 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 12:33:59 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 12:33:59 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 12:33:59 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 12:33:59 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 12:33:59 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 12:33:59 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 12:33:59 2020 Best:
Tue Jul 28 12:33:59 2020 index: 2
Tue Jul 28 12:33:59 2020 score: 0.6983050847457626
Tue Jul 28 12:33:59 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:33:59 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 12:33:59 2020               precision    recall  f1-score   support

 concurrency       0.52      0.83      0.64        18
      memory       0.71      0.59      0.64        29
    semantic       0.86      0.67      0.75        27

    accuracy                           0.68        74
   macro avg       0.69      0.70      0.68        74
weighted avg       0.72      0.68      0.68        74

Tue Jul 28 12:33:59 2020 at classifier: LSVC
Tue Jul 28 12:34:23 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 12:34:23 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 12:34:23 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.09
Tue Jul 28 12:34:23 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 12:34:23 2020 Best:
Tue Jul 28 12:34:23 2020 index: 1
Tue Jul 28 12:34:23 2020 score: 0.7254237288135592
Tue Jul 28 12:34:23 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:34:23 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 12:34:24 2020               precision    recall  f1-score   support

 concurrency       0.57      0.72      0.63        18
      memory       0.79      0.66      0.72        29
    semantic       0.78      0.78      0.78        27

    accuracy                           0.72        74
   macro avg       0.71      0.72      0.71        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 12:34:24 2020 at classifier: SGDC
Tue Jul 28 12:34:48 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.05
Tue Jul 28 12:34:48 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 12:34:48 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 12:34:48 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 12:34:48 2020 Best:
Tue Jul 28 12:34:48 2020 index: 3
Tue Jul 28 12:34:48 2020 score: 0.7254237288135592
Tue Jul 28 12:34:48 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:34:48 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 12:34:48 2020               precision    recall  f1-score   support

 concurrency       0.43      0.67      0.52        18
      memory       0.84      0.55      0.67        29
    semantic       0.74      0.74      0.74        27

    accuracy                           0.65        74
   macro avg       0.67      0.65      0.64        74
weighted avg       0.70      0.65      0.66        74

Tue Jul 28 12:34:48 2020 at classifier: RFC
Tue Jul 28 12:35:17 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 12:35:17 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.03
Tue Jul 28 12:35:17 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 12:35:17 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.05
Tue Jul 28 12:35:17 2020 Best:
Tue Jul 28 12:35:17 2020 index: 0
Tue Jul 28 12:35:17 2020 score: 0.6813559322033897
Tue Jul 28 12:35:17 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:35:17 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 12:35:17 2020               precision    recall  f1-score   support

 concurrency       0.44      0.61      0.51        18
      memory       1.00      0.31      0.47        29
    semantic       0.60      0.89      0.72        27

    accuracy                           0.59        74
   macro avg       0.68      0.60      0.57        74
weighted avg       0.72      0.59      0.57        74

Tue Jul 28 12:35:17 2020 at classifier: LRC
Tue Jul 28 12:39:36 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 12:39:36 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:39:36 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 12:39:36 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:39:36 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 12:39:36 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 12:39:36 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:39:36 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 12:39:36 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 12:39:36 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 12:39:36 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:39:36 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 12:39:36 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 12:39:36 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 12:39:36 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 12:39:36 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 12:39:36 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 12:39:36 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 12:39:36 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 12:39:36 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 12:39:36 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:39:36 2020 Best:
Tue Jul 28 12:39:36 2020 index: 15
Tue Jul 28 12:39:36 2020 score: 0.7186440677966102
Tue Jul 28 12:39:36 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:39:36 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 12:39:36 2020               precision    recall  f1-score   support

 concurrency       0.55      0.67      0.60        18
      memory       0.83      0.66      0.73        29
    semantic       0.76      0.81      0.79        27

    accuracy                           0.72        74
   macro avg       0.71      0.71      0.71        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 12:39:36 2020 at iteration: 2
Tue Jul 28 12:39:36 2020 n_samples: 369
Tue Jul 28 12:39:36 2020 at classifier: MNB
Tue Jul 28 12:40:21 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 12:40:21 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:40:21 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 12:40:21 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 12:40:21 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 12:40:21 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 12:40:21 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 12:40:21 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:40:21 2020 Best:
Tue Jul 28 12:40:21 2020 index: 0
Tue Jul 28 12:40:21 2020 score: 0.7254237288135593
Tue Jul 28 12:40:21 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:40:21 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 12:40:21 2020               precision    recall  f1-score   support

 concurrency       0.68      0.71      0.69        24
      memory       0.55      0.77      0.64        22
    semantic       0.78      0.50      0.61        28

    accuracy                           0.65        74
   macro avg       0.67      0.66      0.65        74
weighted avg       0.68      0.65      0.65        74

Tue Jul 28 12:40:21 2020 at classifier: LSVC
Tue Jul 28 12:40:45 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:40:45 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 12:40:45 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 12:40:45 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:40:45 2020 Best:
Tue Jul 28 12:40:45 2020 index: 0
Tue Jul 28 12:40:45 2020 score: 0.7016949152542372
Tue Jul 28 12:40:45 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:40:45 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 12:40:45 2020               precision    recall  f1-score   support

 concurrency       0.67      0.75      0.71        24
      memory       0.67      0.64      0.65        22
    semantic       0.77      0.71      0.74        28

    accuracy                           0.70        74
   macro avg       0.70      0.70      0.70        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 12:40:45 2020 at classifier: SGDC
Tue Jul 28 12:41:08 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.09
Tue Jul 28 12:41:08 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 12:41:08 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:41:08 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:41:08 2020 Best:
Tue Jul 28 12:41:08 2020 index: 2
Tue Jul 28 12:41:08 2020 score: 0.7050847457627119
Tue Jul 28 12:41:08 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:41:08 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 12:41:08 2020               precision    recall  f1-score   support

 concurrency       0.66      0.79      0.72        24
      memory       0.67      0.64      0.65        22
    semantic       0.75      0.64      0.69        28

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 12:41:08 2020 at classifier: RFC
Tue Jul 28 12:41:36 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.09
Tue Jul 28 12:41:36 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 12:41:36 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.08
Tue Jul 28 12:41:36 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.09
Tue Jul 28 12:41:36 2020 Best:
Tue Jul 28 12:41:36 2020 index: 2
Tue Jul 28 12:41:36 2020 score: 0.6576271186440679
Tue Jul 28 12:41:36 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:41:36 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 12:41:36 2020               precision    recall  f1-score   support

 concurrency       0.93      0.58      0.72        24
      memory       0.73      0.73      0.73        22
    semantic       0.62      0.82      0.71        28

    accuracy                           0.72        74
   macro avg       0.76      0.71      0.72        74
weighted avg       0.75      0.72      0.72        74

Tue Jul 28 12:41:36 2020 at classifier: LRC
Tue Jul 28 12:45:46 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:45:46 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 12:45:46 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 12:45:46 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 12:45:46 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:45:46 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:45:46 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:45:46 2020 Best:
Tue Jul 28 12:45:46 2020 index: 4
Tue Jul 28 12:45:46 2020 score: 0.7050847457627117
Tue Jul 28 12:45:46 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:45:46 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 12:45:46 2020               precision    recall  f1-score   support

 concurrency       0.69      0.75      0.72        24
      memory       0.67      0.64      0.65        22
    semantic       0.70      0.68      0.69        28

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 12:45:47 2020 at iteration: 3
Tue Jul 28 12:45:47 2020 n_samples: 369
Tue Jul 28 12:45:47 2020 at classifier: MNB
Tue Jul 28 12:46:28 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 12:46:28 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 12:46:28 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 12:46:28 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 12:46:28 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:46:28 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 12:46:28 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 12:46:28 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 12:46:28 2020 Best:
Tue Jul 28 12:46:28 2020 index: 4
Tue Jul 28 12:46:28 2020 score: 0.711864406779661
Tue Jul 28 12:46:28 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:46:28 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 12:46:28 2020               precision    recall  f1-score   support

 concurrency       0.83      0.50      0.62        30
      memory       0.52      0.85      0.64        20
    semantic       0.65      0.62      0.64        24

    accuracy                           0.64        74
   macro avg       0.67      0.66      0.63        74
weighted avg       0.69      0.64      0.63        74

Tue Jul 28 12:46:28 2020 at classifier: LSVC
Tue Jul 28 12:46:50 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:46:50 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:46:50 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:46:50 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:46:50 2020 Best:
Tue Jul 28 12:46:50 2020 index: 3
Tue Jul 28 12:46:50 2020 score: 0.7084745762711864
Tue Jul 28 12:46:50 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:46:50 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 12:46:50 2020               precision    recall  f1-score   support

 concurrency       0.76      0.43      0.55        30
      memory       0.74      0.85      0.79        20
    semantic       0.53      0.75      0.62        24

    accuracy                           0.65        74
   macro avg       0.68      0.68      0.65        74
weighted avg       0.68      0.65      0.64        74

Tue Jul 28 12:46:50 2020 at classifier: SGDC
Tue Jul 28 12:47:12 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 12:47:12 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.10
Tue Jul 28 12:47:12 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 12:47:12 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:47:12 2020 Best:
Tue Jul 28 12:47:12 2020 index: 2
Tue Jul 28 12:47:12 2020 score: 0.7050847457627119
Tue Jul 28 12:47:12 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:47:12 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 12:47:12 2020               precision    recall  f1-score   support

 concurrency       0.75      0.40      0.52        30
      memory       0.76      0.80      0.78        20
    semantic       0.54      0.83      0.66        24

    accuracy                           0.65        74
   macro avg       0.68      0.68      0.65        74
weighted avg       0.69      0.65      0.64        74

Tue Jul 28 12:47:12 2020 at classifier: RFC
Tue Jul 28 12:47:38 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 12:47:38 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 12:47:38 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.07
Tue Jul 28 12:47:38 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.03
Tue Jul 28 12:47:38 2020 Best:
Tue Jul 28 12:47:38 2020 index: 0
Tue Jul 28 12:47:38 2020 score: 0.6644067796610169
Tue Jul 28 12:47:38 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:47:38 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 12:47:38 2020               precision    recall  f1-score   support

 concurrency       0.55      0.20      0.29        30
      memory       0.65      0.65      0.65        20
    semantic       0.42      0.75      0.54        24

    accuracy                           0.50        74
   macro avg       0.54      0.53      0.49        74
weighted avg       0.53      0.50      0.47        74

Tue Jul 28 12:47:38 2020 at classifier: LRC
Tue Jul 28 12:51:32 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 12:51:32 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 12:51:32 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:51:32 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 12:51:32 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:51:32 2020 Best:
Tue Jul 28 12:51:32 2020 index: 19
Tue Jul 28 12:51:32 2020 score: 0.7152542372881355
Tue Jul 28 12:51:32 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:51:32 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 12:51:33 2020               precision    recall  f1-score   support

 concurrency       0.87      0.43      0.58        30
      memory       0.78      0.90      0.84        20
    semantic       0.56      0.83      0.67        24

    accuracy                           0.69        74
   macro avg       0.73      0.72      0.69        74
weighted avg       0.74      0.69      0.68        74

Tue Jul 28 12:51:33 2020 at iteration: 4
Tue Jul 28 12:51:33 2020 n_samples: 369
Tue Jul 28 12:51:33 2020 at classifier: MNB
Tue Jul 28 12:52:19 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:52:19 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 12:52:19 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:52:19 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:52:19 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:52:19 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 12:52:19 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 12:52:19 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 12:52:19 2020 Best:
Tue Jul 28 12:52:19 2020 index: 0
Tue Jul 28 12:52:19 2020 score: 0.7050847457627117
Tue Jul 28 12:52:19 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:52:19 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 12:52:19 2020               precision    recall  f1-score   support

 concurrency       0.77      0.83      0.80        24
      memory       0.59      0.77      0.67        22
    semantic       0.84      0.57      0.68        28

    accuracy                           0.72        74
   macro avg       0.73      0.73      0.72        74
weighted avg       0.74      0.72      0.72        74

Tue Jul 28 12:52:19 2020 at classifier: LSVC
Tue Jul 28 12:52:42 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 12:52:42 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:52:42 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 12:52:42 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 12:52:42 2020 Best:
Tue Jul 28 12:52:42 2020 index: 0
Tue Jul 28 12:52:42 2020 score: 0.7288135593220338
Tue Jul 28 12:52:42 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:52:42 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 12:52:42 2020               precision    recall  f1-score   support

 concurrency       0.71      0.71      0.71        24
      memory       0.74      0.64      0.68        22
    semantic       0.71      0.79      0.75        28

    accuracy                           0.72        74
   macro avg       0.72      0.71      0.71        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 12:52:42 2020 at classifier: SGDC
Tue Jul 28 12:53:05 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 12:53:05 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.06
Tue Jul 28 12:53:05 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 12:53:05 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 12:53:05 2020 Best:
Tue Jul 28 12:53:05 2020 index: 2
Tue Jul 28 12:53:05 2020 score: 0.7254237288135592
Tue Jul 28 12:53:05 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:53:05 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 12:53:05 2020               precision    recall  f1-score   support

 concurrency       0.75      0.75      0.75        24
      memory       0.74      0.64      0.68        22
    semantic       0.71      0.79      0.75        28

    accuracy                           0.73        74
   macro avg       0.73      0.72      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 12:53:05 2020 at classifier: RFC
Tue Jul 28 12:53:34 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.10
Tue Jul 28 12:53:34 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 12:53:34 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.09
Tue Jul 28 12:53:34 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.07
Tue Jul 28 12:53:34 2020 Best:
Tue Jul 28 12:53:34 2020 index: 0
Tue Jul 28 12:53:34 2020 score: 0.6813559322033899
Tue Jul 28 12:53:34 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:53:34 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 12:53:35 2020               precision    recall  f1-score   support

 concurrency       0.82      0.58      0.68        24
      memory       0.72      0.59      0.65        22
    semantic       0.56      0.79      0.66        28

    accuracy                           0.66        74
   macro avg       0.70      0.65      0.66        74
weighted avg       0.70      0.66      0.66        74

Tue Jul 28 12:53:35 2020 at classifier: LRC
Tue Jul 28 12:57:53 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 12:57:53 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 12:57:53 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 12:57:53 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 12:57:53 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 12:57:53 2020 Best:
Tue Jul 28 12:57:53 2020 index: 34
Tue Jul 28 12:57:53 2020 score: 0.728813559322034
Tue Jul 28 12:57:53 2020 params: {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:57:53 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42,
                                    solver='liblinear'))])
Tue Jul 28 12:57:53 2020               precision    recall  f1-score   support

 concurrency       0.71      0.71      0.71        24
      memory       0.70      0.64      0.67        22
    semantic       0.70      0.75      0.72        28

    accuracy                           0.70        74
   macro avg       0.70      0.70      0.70        74
weighted avg       0.70      0.70      0.70        74

Tue Jul 28 12:57:53 2020 at iteration: 5
Tue Jul 28 12:57:53 2020 n_samples: 369
Tue Jul 28 12:57:53 2020 at classifier: MNB
Tue Jul 28 12:58:40 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 12:58:40 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 12:58:40 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 12:58:40 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 12:58:40 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 12:58:40 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 12:58:40 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 12:58:40 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 12:58:40 2020 Best:
Tue Jul 28 12:58:40 2020 index: 5
Tue Jul 28 12:58:40 2020 score: 0.7254237288135592
Tue Jul 28 12:58:40 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:58:40 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 12:58:40 2020               precision    recall  f1-score   support

 concurrency       0.80      0.80      0.80        25
      memory       0.69      0.80      0.74        25
    semantic       0.70      0.58      0.64        24

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 12:58:40 2020 at classifier: LSVC
Tue Jul 28 12:59:04 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 12:59:04 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 12:59:04 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 12:59:04 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 12:59:04 2020 Best:
Tue Jul 28 12:59:04 2020 index: 2
Tue Jul 28 12:59:04 2020 score: 0.7423728813559322
Tue Jul 28 12:59:04 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:59:04 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 12:59:04 2020               precision    recall  f1-score   support

 concurrency       0.85      0.68      0.76        25
      memory       0.74      0.80      0.77        25
    semantic       0.63      0.71      0.67        24

    accuracy                           0.73        74
   macro avg       0.74      0.73      0.73        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 12:59:04 2020 at classifier: SGDC
Tue Jul 28 12:59:28 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 12:59:28 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.04
Tue Jul 28 12:59:28 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 12:59:28 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 12:59:28 2020 Best:
Tue Jul 28 12:59:28 2020 index: 2
Tue Jul 28 12:59:28 2020 score: 0.7186440677966102
Tue Jul 28 12:59:28 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:59:28 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 12:59:28 2020               precision    recall  f1-score   support

 concurrency       0.83      0.80      0.82        25
      memory       0.76      0.76      0.76        25
    semantic       0.72      0.75      0.73        24

    accuracy                           0.77        74
   macro avg       0.77      0.77      0.77        74
weighted avg       0.77      0.77      0.77        74

Tue Jul 28 12:59:28 2020 at classifier: RFC
Tue Jul 28 12:59:57 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.09
Tue Jul 28 12:59:57 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.06
Tue Jul 28 12:59:57 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 12:59:57 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.06
Tue Jul 28 12:59:57 2020 Best:
Tue Jul 28 12:59:57 2020 index: 0
Tue Jul 28 12:59:57 2020 score: 0.6
Tue Jul 28 12:59:57 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 12:59:57 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 12:59:57 2020               precision    recall  f1-score   support

 concurrency       0.80      0.48      0.60        25
      memory       0.69      0.44      0.54        25
    semantic       0.49      0.88      0.63        24

    accuracy                           0.59        74
   macro avg       0.66      0.60      0.59        74
weighted avg       0.66      0.59      0.59        74

Tue Jul 28 12:59:57 2020 at classifier: LRC
Tue Jul 28 13:04:17 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 13:04:17 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 13:04:17 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.02
Tue Jul 28 13:04:17 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.02
Tue Jul 28 13:04:17 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.02
Tue Jul 28 13:04:17 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 13:04:17 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 13:04:17 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 13:04:17 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 13:04:17 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 13:04:17 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.02
Tue Jul 28 13:04:17 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:04:17 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 13:04:17 2020 Best:
Tue Jul 28 13:04:17 2020 index: 20
Tue Jul 28 13:04:17 2020 score: 0.7491525423728814
Tue Jul 28 13:04:17 2020 params: {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:04:17 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='newton-cg'))])
Tue Jul 28 13:04:18 2020               precision    recall  f1-score   support

 concurrency       0.86      0.72      0.78        25
      memory       0.74      0.80      0.77        25
    semantic       0.65      0.71      0.68        24

    accuracy                           0.74        74
   macro avg       0.75      0.74      0.74        74
weighted avg       0.75      0.74      0.74        74

Tue Jul 28 13:04:18 2020 at iteration: 6
Tue Jul 28 13:04:18 2020 n_samples: 369
Tue Jul 28 13:04:18 2020 at classifier: MNB
Tue Jul 28 13:05:04 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:05:04 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 13:05:04 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:05:04 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 13:05:04 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:05:04 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:05:04 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 13:05:04 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 13:05:04 2020 Best:
Tue Jul 28 13:05:04 2020 index: 5
Tue Jul 28 13:05:04 2020 score: 0.7220338983050848
Tue Jul 28 13:05:04 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:05:04 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 13:05:04 2020               precision    recall  f1-score   support

 concurrency       0.67      0.67      0.67        24
      memory       0.50      0.73      0.59        22
    semantic       0.72      0.46      0.57        28

    accuracy                           0.61        74
   macro avg       0.63      0.62      0.61        74
weighted avg       0.64      0.61      0.61        74

Tue Jul 28 13:05:04 2020 at classifier: LSVC
Tue Jul 28 13:05:27 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:05:27 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:05:27 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:05:27 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:05:27 2020 Best:
Tue Jul 28 13:05:27 2020 index: 2
Tue Jul 28 13:05:27 2020 score: 0.7186440677966102
Tue Jul 28 13:05:27 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:05:27 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 13:05:27 2020               precision    recall  f1-score   support

 concurrency       0.76      0.54      0.63        24
      memory       0.65      0.77      0.71        22
    semantic       0.68      0.75      0.71        28

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.68        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 13:05:27 2020 at classifier: SGDC
Tue Jul 28 13:05:51 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 13:05:51 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.02
Tue Jul 28 13:05:51 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 13:05:51 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:05:51 2020 Best:
Tue Jul 28 13:05:51 2020 index: 3
Tue Jul 28 13:05:51 2020 score: 0.7084745762711865
Tue Jul 28 13:05:51 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:05:51 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:05:51 2020               precision    recall  f1-score   support

 concurrency       0.71      0.62      0.67        24
      memory       0.77      0.77      0.77        22
    semantic       0.74      0.82      0.78        28

    accuracy                           0.74        74
   macro avg       0.74      0.74      0.74        74
weighted avg       0.74      0.74      0.74        74

Tue Jul 28 13:05:51 2020 at classifier: RFC
Tue Jul 28 13:06:20 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.08
Tue Jul 28 13:06:20 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 13:06:20 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.08
Tue Jul 28 13:06:20 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 13:06:20 2020 Best:
Tue Jul 28 13:06:20 2020 index: 0
Tue Jul 28 13:06:20 2020 score: 0.6610169491525423
Tue Jul 28 13:06:20 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:06:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 13:06:20 2020               precision    recall  f1-score   support

 concurrency       0.69      0.38      0.49        24
      memory       0.88      0.64      0.74        22
    semantic       0.60      0.96      0.74        28

    accuracy                           0.68        74
   macro avg       0.72      0.66      0.65        74
weighted avg       0.71      0.68      0.66        74

Tue Jul 28 13:06:20 2020 at classifier: LRC
Tue Jul 28 13:10:34 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:10:34 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:10:34 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:10:34 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:10:34 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:10:34 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:10:34 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:10:34 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:10:34 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:10:34 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:10:34 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:10:34 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:10:34 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:10:34 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:10:34 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:10:34 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:10:34 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:10:34 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:10:34 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:10:34 2020 Best:
Tue Jul 28 13:10:34 2020 index: 20
Tue Jul 28 13:10:34 2020 score: 0.711864406779661
Tue Jul 28 13:10:34 2020 params: {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:10:34 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='newton-cg'))])
Tue Jul 28 13:10:34 2020               precision    recall  f1-score   support

 concurrency       0.76      0.54      0.63        24
      memory       0.64      0.73      0.68        22
    semantic       0.69      0.79      0.73        28

    accuracy                           0.69        74
   macro avg       0.70      0.68      0.68        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 13:10:34 2020 at iteration: 7
Tue Jul 28 13:10:34 2020 n_samples: 369
Tue Jul 28 13:10:34 2020 at classifier: MNB
Tue Jul 28 13:11:13 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 13:11:13 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:11:13 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 13:11:13 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 13:11:13 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:11:13 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:11:13 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 13:11:13 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 13:11:13 2020 Best:
Tue Jul 28 13:11:13 2020 index: 4
Tue Jul 28 13:11:13 2020 score: 0.6915254237288135
Tue Jul 28 13:11:13 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:11:13 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 13:11:13 2020               precision    recall  f1-score   support

 concurrency       0.81      0.73      0.77        30
      memory       0.58      0.79      0.67        19
    semantic       0.81      0.68      0.74        25

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.75      0.73      0.73        74

Tue Jul 28 13:11:13 2020 at classifier: LSVC
Tue Jul 28 13:11:33 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:11:33 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:11:33 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:11:33 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:11:33 2020 Best:
Tue Jul 28 13:11:33 2020 index: 1
Tue Jul 28 13:11:33 2020 score: 0.7050847457627117
Tue Jul 28 13:11:33 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:11:33 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 13:11:34 2020               precision    recall  f1-score   support

 concurrency       0.79      0.73      0.76        30
      memory       0.70      0.74      0.72        19
    semantic       0.73      0.76      0.75        25

    accuracy                           0.74        74
   macro avg       0.74      0.74      0.74        74
weighted avg       0.75      0.74      0.74        74

Tue Jul 28 13:11:34 2020 at classifier: SGDC
Tue Jul 28 13:11:53 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.09
Tue Jul 28 13:11:53 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.09
Tue Jul 28 13:11:53 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:11:53 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:11:53 2020 Best:
Tue Jul 28 13:11:53 2020 index: 2
Tue Jul 28 13:11:53 2020 score: 0.6915254237288135
Tue Jul 28 13:11:53 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:11:53 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:11:53 2020               precision    recall  f1-score   support

 concurrency       0.77      0.77      0.77        30
      memory       0.75      0.63      0.69        19
    semantic       0.71      0.80      0.75        25

    accuracy                           0.74        74
   macro avg       0.74      0.73      0.74        74
weighted avg       0.74      0.74      0.74        74

Tue Jul 28 13:11:53 2020 at classifier: RFC
Tue Jul 28 13:12:18 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 13:12:18 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 13:12:18 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:12:18 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 13:12:18 2020 Best:
Tue Jul 28 13:12:18 2020 index: 2
Tue Jul 28 13:12:18 2020 score: 0.6779661016949152
Tue Jul 28 13:12:18 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:12:18 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 13:12:19 2020               precision    recall  f1-score   support

 concurrency       0.72      0.43      0.54        30
      memory       0.82      0.47      0.60        19
    semantic       0.51      0.92      0.66        25

    accuracy                           0.61        74
   macro avg       0.68      0.61      0.60        74
weighted avg       0.68      0.61      0.60        74

Tue Jul 28 13:12:19 2020 at classifier: LRC
Tue Jul 28 13:15:57 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 13:15:57 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 13:15:57 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 13:15:57 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 13:15:57 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:15:57 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:15:57 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 13:15:57 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 13:15:57 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:15:57 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:15:57 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:15:57 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:15:57 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:15:57 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 13:15:57 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:15:57 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:15:57 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:15:57 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:15:57 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:15:57 2020 Best:
Tue Jul 28 13:15:57 2020 index: 29
Tue Jul 28 13:15:57 2020 score: 0.7152542372881356
Tue Jul 28 13:15:57 2020 params: {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:15:57 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='saga'))])
Tue Jul 28 13:15:58 2020               precision    recall  f1-score   support

 concurrency       0.81      0.73      0.77        30
      memory       0.67      0.63      0.65        19
    semantic       0.69      0.80      0.74        25

    accuracy                           0.73        74
   macro avg       0.72      0.72      0.72        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 13:15:58 2020 at iteration: 8
Tue Jul 28 13:15:58 2020 n_samples: 369
Tue Jul 28 13:15:58 2020 at classifier: MNB
Tue Jul 28 13:16:46 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 13:16:46 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 13:16:46 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 13:16:46 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 13:16:46 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 13:16:46 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:16:46 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 13:16:46 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 13:16:46 2020 Best:
Tue Jul 28 13:16:46 2020 index: 1
Tue Jul 28 13:16:46 2020 score: 0.735593220338983
Tue Jul 28 13:16:46 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:16:46 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 13:16:46 2020               precision    recall  f1-score   support

 concurrency       0.68      0.83      0.75        23
      memory       0.59      0.74      0.65        23
    semantic       0.65      0.39      0.49        28

    accuracy                           0.64        74
   macro avg       0.64      0.65      0.63        74
weighted avg       0.64      0.64      0.62        74

Tue Jul 28 13:16:46 2020 at classifier: LSVC
Tue Jul 28 13:17:11 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:17:11 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:17:11 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:17:11 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:17:11 2020 Best:
Tue Jul 28 13:17:11 2020 index: 3
Tue Jul 28 13:17:11 2020 score: 0.7152542372881356
Tue Jul 28 13:17:11 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:17:11 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 13:17:12 2020               precision    recall  f1-score   support

 concurrency       0.63      0.74      0.68        23
      memory       0.73      0.70      0.71        23
    semantic       0.60      0.54      0.57        28

    accuracy                           0.65        74
   macro avg       0.65      0.66      0.65        74
weighted avg       0.65      0.65      0.65        74

Tue Jul 28 13:17:12 2020 at classifier: SGDC
Tue Jul 28 13:17:36 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.02
Tue Jul 28 13:17:36 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.02
Tue Jul 28 13:17:36 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 13:17:36 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:17:36 2020 Best:
Tue Jul 28 13:17:36 2020 index: 2
Tue Jul 28 13:17:36 2020 score: 0.7186440677966102
Tue Jul 28 13:17:36 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:17:36 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:17:36 2020               precision    recall  f1-score   support

 concurrency       0.63      0.74      0.68        23
      memory       0.88      0.65      0.75        23
    semantic       0.63      0.68      0.66        28

    accuracy                           0.69        74
   macro avg       0.72      0.69      0.70        74
weighted avg       0.71      0.69      0.69        74

Tue Jul 28 13:17:36 2020 at classifier: RFC
Tue Jul 28 13:18:05 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:18:05 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 13:18:05 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 13:18:05 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 13:18:05 2020 Best:
Tue Jul 28 13:18:05 2020 index: 0
Tue Jul 28 13:18:05 2020 score: 0.6711864406779661
Tue Jul 28 13:18:05 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:18:05 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 13:18:05 2020               precision    recall  f1-score   support

 concurrency       0.75      0.52      0.62        23
      memory       0.93      0.57      0.70        23
    semantic       0.55      0.86      0.67        28

    accuracy                           0.66        74
   macro avg       0.74      0.65      0.66        74
weighted avg       0.73      0.66      0.66        74

Tue Jul 28 13:18:05 2020 at classifier: LRC
Tue Jul 28 13:22:34 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:22:34 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:22:34 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:22:34 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:22:34 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:22:34 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 13:22:34 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:22:34 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:22:34 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:22:34 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:22:34 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:22:34 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:22:34 2020 Best:
Tue Jul 28 13:22:34 2020 index: 19
Tue Jul 28 13:22:34 2020 score: 0.711864406779661
Tue Jul 28 13:22:34 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:22:34 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 13:22:34 2020               precision    recall  f1-score   support

 concurrency       0.65      0.74      0.69        23
      memory       0.71      0.65      0.68        23
    semantic       0.59      0.57      0.58        28

    accuracy                           0.65        74
   macro avg       0.65      0.65      0.65        74
weighted avg       0.65      0.65      0.65        74

Tue Jul 28 13:22:34 2020 at iteration: 9
Tue Jul 28 13:22:34 2020 n_samples: 369
Tue Jul 28 13:22:34 2020 at classifier: MNB
Tue Jul 28 13:23:17 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 13:23:17 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 13:23:17 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 13:23:17 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 13:23:17 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:23:17 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:23:17 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 13:23:17 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.08
Tue Jul 28 13:23:17 2020 Best:
Tue Jul 28 13:23:17 2020 index: 0
Tue Jul 28 13:23:17 2020 score: 0.7016949152542373
Tue Jul 28 13:23:17 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:23:17 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 13:23:17 2020               precision    recall  f1-score   support

 concurrency       0.78      0.75      0.76        28
      memory       0.84      0.62      0.71        26
    semantic       0.57      0.80      0.67        20

    accuracy                           0.72        74
   macro avg       0.73      0.72      0.71        74
weighted avg       0.74      0.72      0.72        74

Tue Jul 28 13:23:17 2020 at classifier: LSVC
Tue Jul 28 13:23:41 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:23:41 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:23:41 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:23:41 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 13:23:41 2020 Best:
Tue Jul 28 13:23:41 2020 index: 1
Tue Jul 28 13:23:41 2020 score: 0.7084745762711864
Tue Jul 28 13:23:41 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:23:41 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 13:23:41 2020               precision    recall  f1-score   support

 concurrency       0.81      0.79      0.80        28
      memory       0.88      0.54      0.67        26
    semantic       0.58      0.90      0.71        20

    accuracy                           0.73        74
   macro avg       0.76      0.74      0.72        74
weighted avg       0.77      0.73      0.73        74

Tue Jul 28 13:23:41 2020 at classifier: SGDC
Tue Jul 28 13:24:04 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.09
Tue Jul 28 13:24:04 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.10
Tue Jul 28 13:24:04 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:24:04 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:24:04 2020 Best:
Tue Jul 28 13:24:04 2020 index: 3
Tue Jul 28 13:24:04 2020 score: 0.7050847457627119
Tue Jul 28 13:24:04 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:24:04 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:24:04 2020               precision    recall  f1-score   support

 concurrency       0.71      0.71      0.71        28
      memory       0.88      0.54      0.67        26
    semantic       0.60      0.90      0.72        20

    accuracy                           0.70        74
   macro avg       0.73      0.72      0.70        74
weighted avg       0.74      0.70      0.70        74

Tue Jul 28 13:24:04 2020 at classifier: RFC
Tue Jul 28 13:24:31 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 13:24:31 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.05
Tue Jul 28 13:24:31 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 13:24:31 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.05
Tue Jul 28 13:24:31 2020 Best:
Tue Jul 28 13:24:31 2020 index: 2
Tue Jul 28 13:24:31 2020 score: 0.6135593220338984
Tue Jul 28 13:24:31 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:24:31 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 13:24:32 2020               precision    recall  f1-score   support

 concurrency       0.75      0.43      0.55        28
      memory       1.00      0.35      0.51        26
    semantic       0.37      0.90      0.52        20

    accuracy                           0.53        74
   macro avg       0.71      0.56      0.53        74
weighted avg       0.73      0.53      0.53        74

Tue Jul 28 13:24:32 2020 at classifier: LRC
Tue Jul 28 13:28:36 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:28:36 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:28:36 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:28:36 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:28:36 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:28:36 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:28:36 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:28:36 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:28:36 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:28:36 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:28:36 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 13:28:36 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:28:36 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:28:36 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:28:36 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:28:36 2020 Best:
Tue Jul 28 13:28:36 2020 index: 20
Tue Jul 28 13:28:36 2020 score: 0.7084745762711864
Tue Jul 28 13:28:36 2020 params: {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:28:36 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='newton-cg'))])
Tue Jul 28 13:28:36 2020               precision    recall  f1-score   support

 concurrency       0.80      0.71      0.75        28
      memory       0.82      0.54      0.65        26
    semantic       0.53      0.85      0.65        20

    accuracy                           0.69        74
   macro avg       0.72      0.70      0.69        74
weighted avg       0.74      0.69      0.69        74

Tue Jul 28 13:28:36 2020 at iteration: 10
Tue Jul 28 13:28:36 2020 n_samples: 369
Tue Jul 28 13:28:36 2020 at classifier: MNB
Tue Jul 28 13:29:20 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:29:20 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 13:29:20 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:29:20 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 13:29:20 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:29:20 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:29:20 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:29:20 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 13:29:20 2020 Best:
Tue Jul 28 13:29:20 2020 index: 4
Tue Jul 28 13:29:20 2020 score: 0.688135593220339
Tue Jul 28 13:29:20 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:29:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 13:29:20 2020               precision    recall  f1-score   support

 concurrency       0.88      0.76      0.81        29
      memory       0.68      0.81      0.74        21
    semantic       0.71      0.71      0.71        24

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.75        74
weighted avg       0.77      0.76      0.76        74

Tue Jul 28 13:29:20 2020 at classifier: LSVC
Tue Jul 28 13:29:43 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 13:29:43 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:29:43 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:29:43 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 13:29:43 2020 Best:
Tue Jul 28 13:29:43 2020 index: 0
Tue Jul 28 13:29:43 2020 score: 0.6915254237288135
Tue Jul 28 13:29:43 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:29:43 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 13:29:43 2020               precision    recall  f1-score   support

 concurrency       0.88      0.76      0.81        29
      memory       0.83      0.71      0.77        21
    semantic       0.71      0.92      0.80        24

    accuracy                           0.80        74
   macro avg       0.81      0.80      0.79        74
weighted avg       0.81      0.80      0.80        74

Tue Jul 28 13:29:43 2020 at classifier: SGDC
Tue Jul 28 13:30:05 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.04
Tue Jul 28 13:30:05 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.05
Tue Jul 28 13:30:05 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:30:05 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:30:05 2020 Best:
Tue Jul 28 13:30:05 2020 index: 2
Tue Jul 28 13:30:05 2020 score: 0.6881355932203389
Tue Jul 28 13:30:05 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:30:05 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:30:05 2020               precision    recall  f1-score   support

 concurrency       0.85      0.79      0.82        29
      memory       0.83      0.71      0.77        21
    semantic       0.72      0.88      0.79        24

    accuracy                           0.80        74
   macro avg       0.80      0.79      0.79        74
weighted avg       0.81      0.80      0.80        74

Tue Jul 28 13:30:05 2020 at classifier: RFC
Tue Jul 28 13:30:33 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 13:30:33 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.09
Tue Jul 28 13:30:33 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.03
Tue Jul 28 13:30:33 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.09
Tue Jul 28 13:30:33 2020 Best:
Tue Jul 28 13:30:33 2020 index: 2
Tue Jul 28 13:30:33 2020 score: 0.6372881355932203
Tue Jul 28 13:30:33 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:30:33 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 13:30:33 2020               precision    recall  f1-score   support

 concurrency       0.83      0.34      0.49        29
      memory       0.88      0.67      0.76        21
    semantic       0.50      0.96      0.66        24

    accuracy                           0.64        74
   macro avg       0.74      0.66      0.63        74
weighted avg       0.74      0.64      0.62        74

Tue Jul 28 13:30:33 2020 at classifier: LRC
Tue Jul 28 13:34:41 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:34:41 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 13:34:41 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:34:41 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 13:34:41 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 13:34:41 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:34:41 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:34:41 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 13:34:41 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 13:34:41 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.02
Tue Jul 28 13:34:41 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 13:34:41 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.02
Tue Jul 28 13:34:41 2020 Best:
Tue Jul 28 13:34:41 2020 index: 4
Tue Jul 28 13:34:41 2020 score: 0.6813559322033897
Tue Jul 28 13:34:41 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:34:41 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 13:34:41 2020               precision    recall  f1-score   support

 concurrency       0.88      0.76      0.81        29
      memory       0.84      0.76      0.80        21
    semantic       0.73      0.92      0.81        24

    accuracy                           0.81        74
   macro avg       0.82      0.81      0.81        74
weighted avg       0.82      0.81      0.81        74

Tue Jul 28 13:34:42 2020 at iteration: 11
Tue Jul 28 13:34:42 2020 n_samples: 369
Tue Jul 28 13:34:42 2020 at classifier: MNB
Tue Jul 28 13:35:25 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:35:25 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:35:25 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:35:25 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:35:25 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 13:35:25 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:35:25 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:35:25 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:35:25 2020 Best:
Tue Jul 28 13:35:25 2020 index: 2
Tue Jul 28 13:35:25 2020 score: 0.7220338983050847
Tue Jul 28 13:35:25 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:35:25 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 13:35:26 2020               precision    recall  f1-score   support

 concurrency       0.72      0.82      0.77        22
      memory       0.76      0.70      0.73        27
    semantic       0.75      0.72      0.73        25

    accuracy                           0.74        74
   macro avg       0.74      0.75      0.74        74
weighted avg       0.74      0.74      0.74        74

Tue Jul 28 13:35:26 2020 at classifier: LSVC
Tue Jul 28 13:35:48 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:35:48 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:35:48 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 13:35:48 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:35:48 2020 Best:
Tue Jul 28 13:35:48 2020 index: 0
Tue Jul 28 13:35:48 2020 score: 0.7186440677966102
Tue Jul 28 13:35:48 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:35:48 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 13:35:48 2020               precision    recall  f1-score   support

 concurrency       0.71      0.68      0.70        22
      memory       0.83      0.70      0.76        27
    semantic       0.67      0.80      0.73        25

    accuracy                           0.73        74
   macro avg       0.74      0.73      0.73        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 13:35:48 2020 at classifier: SGDC
Tue Jul 28 13:36:11 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.04
Tue Jul 28 13:36:11 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.48; std - 0.09
Tue Jul 28 13:36:11 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:36:11 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:36:11 2020 Best:
Tue Jul 28 13:36:11 2020 index: 2
Tue Jul 28 13:36:11 2020 score: 0.7050847457627119
Tue Jul 28 13:36:11 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:36:11 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:36:11 2020               precision    recall  f1-score   support

 concurrency       0.71      0.68      0.70        22
      memory       1.00      0.74      0.85        27
    semantic       0.67      0.88      0.76        25

    accuracy                           0.77        74
   macro avg       0.79      0.77      0.77        74
weighted avg       0.80      0.77      0.77        74

Tue Jul 28 13:36:11 2020 at classifier: RFC
Tue Jul 28 13:36:40 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 13:36:40 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.05
Tue Jul 28 13:36:40 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 13:36:40 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.04
Tue Jul 28 13:36:40 2020 Best:
Tue Jul 28 13:36:40 2020 index: 2
Tue Jul 28 13:36:40 2020 score: 0.6440677966101694
Tue Jul 28 13:36:40 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:36:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 13:36:40 2020               precision    recall  f1-score   support

 concurrency       0.69      0.50      0.58        22
      memory       0.89      0.30      0.44        27
    semantic       0.45      0.88      0.59        25

    accuracy                           0.55        74
   macro avg       0.68      0.56      0.54        74
weighted avg       0.68      0.55      0.54        74

Tue Jul 28 13:36:40 2020 at classifier: LRC
Tue Jul 28 13:40:47 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:40:47 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:40:47 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:40:47 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:40:47 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:40:47 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:40:47 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:40:47 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:40:47 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 13:40:47 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 13:40:47 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:40:47 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:40:47 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 13:40:47 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:40:47 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:40:47 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 13:40:47 2020 Best:
Tue Jul 28 13:40:47 2020 index: 8
Tue Jul 28 13:40:47 2020 score: 0.7084745762711864
Tue Jul 28 13:40:47 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:40:47 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 13:40:47 2020               precision    recall  f1-score   support

 concurrency       0.71      0.68      0.70        22
      memory       0.78      0.67      0.72        27
    semantic       0.63      0.76      0.69        25

    accuracy                           0.70        74
   macro avg       0.71      0.70      0.70        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 13:40:47 2020 at iteration: 12
Tue Jul 28 13:40:47 2020 n_samples: 369
Tue Jul 28 13:40:47 2020 at classifier: MNB
Tue Jul 28 13:41:29 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 13:41:29 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 13:41:29 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.07
Tue Jul 28 13:41:29 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 13:41:29 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.06
Tue Jul 28 13:41:29 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.05
Tue Jul 28 13:41:29 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 13:41:29 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 13:41:29 2020 Best:
Tue Jul 28 13:41:29 2020 index: 2
Tue Jul 28 13:41:29 2020 score: 0.6406779661016949
Tue Jul 28 13:41:29 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:41:29 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 13:41:29 2020               precision    recall  f1-score   support

 concurrency       0.86      0.80      0.83        30
      memory       0.60      0.83      0.70        18
    semantic       0.86      0.69      0.77        26

    accuracy                           0.77        74
   macro avg       0.77      0.78      0.76        74
weighted avg       0.79      0.77      0.77        74

Tue Jul 28 13:41:29 2020 at classifier: LSVC
Tue Jul 28 13:41:52 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:41:52 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:41:52 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:41:52 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:41:52 2020 Best:
Tue Jul 28 13:41:52 2020 index: 1
Tue Jul 28 13:41:52 2020 score: 0.6915254237288135
Tue Jul 28 13:41:52 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:41:52 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 13:41:52 2020               precision    recall  f1-score   support

 concurrency       0.86      0.80      0.83        30
      memory       0.71      0.67      0.69        18
    semantic       0.72      0.81      0.76        26

    accuracy                           0.77        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.77      0.77      0.77        74

Tue Jul 28 13:41:52 2020 at classifier: SGDC
Tue Jul 28 13:42:14 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.11
Tue Jul 28 13:42:14 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.10
Tue Jul 28 13:42:14 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:42:14 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 13:42:14 2020 Best:
Tue Jul 28 13:42:14 2020 index: 3
Tue Jul 28 13:42:14 2020 score: 0.6711864406779661
Tue Jul 28 13:42:14 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:42:14 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:42:15 2020               precision    recall  f1-score   support

 concurrency       0.89      0.80      0.84        30
      memory       0.74      0.78      0.76        18
    semantic       0.79      0.85      0.81        26

    accuracy                           0.81        74
   macro avg       0.80      0.81      0.80        74
weighted avg       0.82      0.81      0.81        74

Tue Jul 28 13:42:15 2020 at classifier: RFC
Tue Jul 28 13:42:43 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.08
Tue Jul 28 13:42:43 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.10
Tue Jul 28 13:42:43 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.07
Tue Jul 28 13:42:43 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.08
Tue Jul 28 13:42:43 2020 Best:
Tue Jul 28 13:42:43 2020 index: 2
Tue Jul 28 13:42:43 2020 score: 0.6576271186440678
Tue Jul 28 13:42:43 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:42:43 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 13:42:43 2020               precision    recall  f1-score   support

 concurrency       0.93      0.47      0.62        30
      memory       0.54      0.72      0.62        18
    semantic       0.57      0.77      0.66        26

    accuracy                           0.64        74
   macro avg       0.68      0.65      0.63        74
weighted avg       0.71      0.64      0.63        74

Tue Jul 28 13:42:43 2020 at classifier: LRC
Tue Jul 28 13:46:44 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 13:46:44 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 13:46:44 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 13:46:44 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 13:46:44 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:46:44 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.05
Tue Jul 28 13:46:44 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 13:46:44 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 13:46:44 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:46:44 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:46:44 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:46:44 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 13:46:44 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 13:46:44 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:46:44 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 13:46:44 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:46:44 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:46:44 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 13:46:44 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 13:46:44 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 13:46:44 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 13:46:44 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 13:46:44 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 13:46:44 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 13:46:44 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 13:46:44 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 13:46:44 2020 Best:
Tue Jul 28 13:46:44 2020 index: 9
Tue Jul 28 13:46:44 2020 score: 0.6779661016949152
Tue Jul 28 13:46:44 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:46:44 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 13:46:45 2020               precision    recall  f1-score   support

 concurrency       0.89      0.80      0.84        30
      memory       0.68      0.72      0.70        18
    semantic       0.79      0.85      0.81        26

    accuracy                           0.80        74
   macro avg       0.79      0.79      0.79        74
weighted avg       0.80      0.80      0.80        74

Tue Jul 28 13:46:45 2020 at iteration: 13
Tue Jul 28 13:46:45 2020 n_samples: 369
Tue Jul 28 13:46:45 2020 at classifier: MNB
Tue Jul 28 13:47:31 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:47:31 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:47:31 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:47:31 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:47:31 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:47:31 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 13:47:31 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:47:31 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:47:31 2020 Best:
Tue Jul 28 13:47:31 2020 index: 6
Tue Jul 28 13:47:31 2020 score: 0.7050847457627117
Tue Jul 28 13:47:31 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:47:31 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 13:47:31 2020               precision    recall  f1-score   support

 concurrency       0.70      0.88      0.78        24
      memory       0.55      0.55      0.55        20
    semantic       0.79      0.63      0.70        30

    accuracy                           0.69        74
   macro avg       0.68      0.69      0.68        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 13:47:31 2020 at classifier: LSVC
Tue Jul 28 13:47:55 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:47:55 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 13:47:55 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 13:47:55 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:47:55 2020 Best:
Tue Jul 28 13:47:55 2020 index: 1
Tue Jul 28 13:47:55 2020 score: 0.728813559322034
Tue Jul 28 13:47:55 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:47:55 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 13:47:56 2020               precision    recall  f1-score   support

 concurrency       0.68      0.88      0.76        24
      memory       0.64      0.45      0.53        20
    semantic       0.76      0.73      0.75        30

    accuracy                           0.70        74
   macro avg       0.69      0.69      0.68        74
weighted avg       0.70      0.70      0.69        74

Tue Jul 28 13:47:56 2020 at classifier: SGDC
Tue Jul 28 13:48:19 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 13:48:19 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 13:48:19 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 13:48:19 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:48:19 2020 Best:
Tue Jul 28 13:48:19 2020 index: 2
Tue Jul 28 13:48:19 2020 score: 0.7389830508474576
Tue Jul 28 13:48:19 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:48:19 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:48:19 2020               precision    recall  f1-score   support

 concurrency       0.69      0.83      0.75        24
      memory       0.59      0.50      0.54        20
    semantic       0.75      0.70      0.72        30

    accuracy                           0.69        74
   macro avg       0.68      0.68      0.67        74
weighted avg       0.69      0.69      0.68        74

Tue Jul 28 13:48:19 2020 at classifier: RFC
Tue Jul 28 13:48:48 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:48:48 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 13:48:48 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 13:48:48 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.03
Tue Jul 28 13:48:48 2020 Best:
Tue Jul 28 13:48:48 2020 index: 0
Tue Jul 28 13:48:48 2020 score: 0.688135593220339
Tue Jul 28 13:48:48 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:48:48 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 13:48:49 2020               precision    recall  f1-score   support

 concurrency       0.64      0.58      0.61        24
      memory       0.65      0.55      0.59        20
    semantic       0.60      0.70      0.65        30

    accuracy                           0.62        74
   macro avg       0.63      0.61      0.62        74
weighted avg       0.62      0.62      0.62        74

Tue Jul 28 13:48:49 2020 at classifier: LRC
Tue Jul 28 13:53:08 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 13:53:08 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 13:53:08 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 13:53:08 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 13:53:08 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 13:53:08 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 13:53:08 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 13:53:08 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 13:53:08 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 13:53:08 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 13:53:08 2020 Best:
Tue Jul 28 13:53:08 2020 index: 5
Tue Jul 28 13:53:08 2020 score: 0.728813559322034
Tue Jul 28 13:53:08 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:53:08 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 13:53:09 2020               precision    recall  f1-score   support

 concurrency       0.68      0.88      0.76        24
      memory       0.57      0.40      0.47        20
    semantic       0.72      0.70      0.71        30

    accuracy                           0.68        74
   macro avg       0.66      0.66      0.65        74
weighted avg       0.67      0.68      0.66        74

Tue Jul 28 13:53:09 2020 at iteration: 14
Tue Jul 28 13:53:09 2020 n_samples: 369
Tue Jul 28 13:53:09 2020 at classifier: MNB
Tue Jul 28 13:53:55 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 13:53:55 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:53:55 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 13:53:55 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 13:53:55 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 13:53:55 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:53:55 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 13:53:55 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 13:53:55 2020 Best:
Tue Jul 28 13:53:55 2020 index: 0
Tue Jul 28 13:53:55 2020 score: 0.7186440677966102
Tue Jul 28 13:53:55 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:53:55 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 13:53:55 2020               precision    recall  f1-score   support

 concurrency       0.68      0.66      0.67        29
      memory       0.78      0.58      0.67        24
    semantic       0.46      0.62      0.53        21

    accuracy                           0.62        74
   macro avg       0.64      0.62      0.62        74
weighted avg       0.65      0.62      0.63        74

Tue Jul 28 13:53:55 2020 at classifier: LSVC
Tue Jul 28 13:54:19 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 13:54:19 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 13:54:19 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:54:19 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:54:19 2020 Best:
Tue Jul 28 13:54:19 2020 index: 1
Tue Jul 28 13:54:19 2020 score: 0.7152542372881355
Tue Jul 28 13:54:19 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:54:19 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 13:54:20 2020               precision    recall  f1-score   support

 concurrency       0.70      0.66      0.68        29
      memory       1.00      0.58      0.74        24
    semantic       0.48      0.76      0.59        21

    accuracy                           0.66        74
   macro avg       0.73      0.67      0.67        74
weighted avg       0.74      0.66      0.67        74

Tue Jul 28 13:54:20 2020 at classifier: SGDC
Tue Jul 28 13:54:44 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 13:54:44 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.06
Tue Jul 28 13:54:44 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 13:54:44 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 13:54:44 2020 Best:
Tue Jul 28 13:54:44 2020 index: 3
Tue Jul 28 13:54:44 2020 score: 0.7016949152542373
Tue Jul 28 13:54:44 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:54:44 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 13:54:44 2020               precision    recall  f1-score   support

 concurrency       0.66      0.66      0.66        29
      memory       1.00      0.54      0.70        24
    semantic       0.50      0.76      0.60        21

    accuracy                           0.65        74
   macro avg       0.72      0.65      0.65        74
weighted avg       0.72      0.65      0.66        74

Tue Jul 28 13:54:44 2020 at classifier: RFC
Tue Jul 28 13:55:13 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.08
Tue Jul 28 13:55:13 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.08
Tue Jul 28 13:55:13 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.08
Tue Jul 28 13:55:13 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.07
Tue Jul 28 13:55:13 2020 Best:
Tue Jul 28 13:55:13 2020 index: 2
Tue Jul 28 13:55:13 2020 score: 0.6474576271186441
Tue Jul 28 13:55:13 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:55:13 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 13:55:13 2020               precision    recall  f1-score   support

 concurrency       0.53      0.31      0.39        29
      memory       1.00      0.29      0.45        24
    semantic       0.38      0.90      0.54        21

    accuracy                           0.47        74
   macro avg       0.64      0.50      0.46        74
weighted avg       0.64      0.47      0.45        74

Tue Jul 28 13:55:13 2020 at classifier: LRC
Tue Jul 28 13:59:27 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:59:27 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:59:27 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:59:27 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:59:27 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:59:27 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:59:27 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:59:27 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:59:27 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 13:59:27 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:59:27 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 13:59:27 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:59:27 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 13:59:27 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 13:59:27 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 13:59:27 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 13:59:27 2020 Best:
Tue Jul 28 13:59:27 2020 index: 18
Tue Jul 28 13:59:27 2020 score: 0.6949152542372882
Tue Jul 28 13:59:27 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 13:59:27 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 13:59:28 2020               precision    recall  f1-score   support

 concurrency       0.67      0.62      0.64        29
      memory       0.82      0.58      0.68        24
    semantic       0.47      0.67      0.55        21

    accuracy                           0.62        74
   macro avg       0.65      0.62      0.62        74
weighted avg       0.66      0.62      0.63        74

Tue Jul 28 13:59:28 2020 at iteration: 15
Tue Jul 28 13:59:28 2020 n_samples: 369
Tue Jul 28 13:59:28 2020 at classifier: MNB
Tue Jul 28 14:00:15 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:00:15 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:00:15 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:00:15 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:00:15 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:00:15 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:00:15 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:00:15 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:00:15 2020 Best:
Tue Jul 28 14:00:15 2020 index: 5
Tue Jul 28 14:00:15 2020 score: 0.6949152542372882
Tue Jul 28 14:00:15 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:00:15 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 14:00:16 2020               precision    recall  f1-score   support

 concurrency       0.55      0.70      0.62        23
      memory       0.76      0.48      0.59        27
    semantic       0.68      0.79      0.73        24

    accuracy                           0.65        74
   macro avg       0.67      0.66      0.65        74
weighted avg       0.67      0.65      0.64        74

Tue Jul 28 14:00:16 2020 at classifier: LSVC
Tue Jul 28 14:00:40 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:00:40 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:00:40 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:00:40 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:00:40 2020 Best:
Tue Jul 28 14:00:40 2020 index: 1
Tue Jul 28 14:00:40 2020 score: 0.7186440677966102
Tue Jul 28 14:00:40 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:00:40 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:00:41 2020               precision    recall  f1-score   support

 concurrency       0.65      0.57      0.60        23
      memory       0.85      0.63      0.72        27
    semantic       0.62      0.88      0.72        24

    accuracy                           0.69        74
   macro avg       0.71      0.69      0.68        74
weighted avg       0.71      0.69      0.69        74

Tue Jul 28 14:00:41 2020 at classifier: SGDC
Tue Jul 28 14:01:05 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.04
Tue Jul 28 14:01:05 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 14:01:05 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:01:05 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:01:05 2020 Best:
Tue Jul 28 14:01:05 2020 index: 3
Tue Jul 28 14:01:05 2020 score: 0.6949152542372882
Tue Jul 28 14:01:05 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:01:05 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:01:06 2020               precision    recall  f1-score   support

 concurrency       0.57      0.57      0.57        23
      memory       0.94      0.56      0.70        27
    semantic       0.63      0.92      0.75        24

    accuracy                           0.68        74
   macro avg       0.71      0.68      0.67        74
weighted avg       0.72      0.68      0.67        74

Tue Jul 28 14:01:06 2020 at classifier: RFC
Tue Jul 28 14:01:35 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.07
Tue Jul 28 14:01:35 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.06
Tue Jul 28 14:01:35 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 14:01:35 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 14:01:35 2020 Best:
Tue Jul 28 14:01:35 2020 index: 0
Tue Jul 28 14:01:35 2020 score: 0.6338983050847458
Tue Jul 28 14:01:35 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:01:35 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 14:01:36 2020               precision    recall  f1-score   support

 concurrency       0.55      0.26      0.35        23
      memory       0.92      0.44      0.60        27
    semantic       0.44      0.92      0.59        24

    accuracy                           0.54        74
   macro avg       0.64      0.54      0.52        74
weighted avg       0.65      0.54      0.52        74

Tue Jul 28 14:01:36 2020 at classifier: LRC
Tue Jul 28 14:05:59 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:05:59 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 14:05:59 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 14:05:59 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 14:05:59 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:05:59 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 14:05:59 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 14:05:59 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:05:59 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:05:59 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:05:59 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 14:05:59 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:05:59 2020 Best:
Tue Jul 28 14:05:59 2020 index: 15
Tue Jul 28 14:05:59 2020 score: 0.7152542372881355
Tue Jul 28 14:05:59 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:05:59 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 14:05:59 2020               precision    recall  f1-score   support

 concurrency       0.58      0.48      0.52        23
      memory       0.84      0.59      0.70        27
    semantic       0.58      0.88      0.70        24

    accuracy                           0.65        74
   macro avg       0.67      0.65      0.64        74
weighted avg       0.68      0.65      0.64        74

Tue Jul 28 14:06:00 2020 at iteration: 16
Tue Jul 28 14:06:00 2020 n_samples: 369
Tue Jul 28 14:06:00 2020 at classifier: MNB
Tue Jul 28 14:06:48 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:06:48 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:06:48 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:06:48 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:06:48 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:06:48 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 14:06:48 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:06:48 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:06:48 2020 Best:
Tue Jul 28 14:06:48 2020 index: 1
Tue Jul 28 14:06:48 2020 score: 0.6813559322033899
Tue Jul 28 14:06:48 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:06:48 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 14:06:48 2020               precision    recall  f1-score   support

 concurrency       0.79      0.83      0.81        23
      memory       0.74      0.88      0.81        26
    semantic       0.95      0.72      0.82        25

    accuracy                           0.81        74
   macro avg       0.83      0.81      0.81        74
weighted avg       0.83      0.81      0.81        74

Tue Jul 28 14:06:48 2020 at classifier: LSVC
Tue Jul 28 14:07:13 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 14:07:13 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:07:13 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:07:13 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:07:13 2020 Best:
Tue Jul 28 14:07:13 2020 index: 1
Tue Jul 28 14:07:13 2020 score: 0.7084745762711864
Tue Jul 28 14:07:13 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:07:13 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:07:13 2020               precision    recall  f1-score   support

 concurrency       0.83      0.83      0.83        23
      memory       0.88      0.81      0.84        26
    semantic       0.78      0.84      0.81        25

    accuracy                           0.82        74
   macro avg       0.83      0.82      0.82        74
weighted avg       0.83      0.82      0.82        74

Tue Jul 28 14:07:13 2020 at classifier: SGDC
Tue Jul 28 14:07:39 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 14:07:39 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.04
Tue Jul 28 14:07:39 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:07:39 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:07:39 2020 Best:
Tue Jul 28 14:07:39 2020 index: 3
Tue Jul 28 14:07:39 2020 score: 0.688135593220339
Tue Jul 28 14:07:39 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:07:39 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:07:39 2020               precision    recall  f1-score   support

 concurrency       0.79      0.83      0.81        23
      memory       0.83      0.73      0.78        26
    semantic       0.78      0.84      0.81        25

    accuracy                           0.80        74
   macro avg       0.80      0.80      0.80        74
weighted avg       0.80      0.80      0.80        74

Tue Jul 28 14:07:39 2020 at classifier: RFC
Tue Jul 28 14:08:09 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.06
Tue Jul 28 14:08:09 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.09
Tue Jul 28 14:08:09 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.07
Tue Jul 28 14:08:09 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.08
Tue Jul 28 14:08:09 2020 Best:
Tue Jul 28 14:08:09 2020 index: 0
Tue Jul 28 14:08:09 2020 score: 0.6067796610169491
Tue Jul 28 14:08:09 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:08:09 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 14:08:09 2020               precision    recall  f1-score   support

 concurrency       0.80      0.52      0.63        23
      memory       0.81      0.50      0.62        26
    semantic       0.51      0.88      0.65        25

    accuracy                           0.64        74
   macro avg       0.71      0.63      0.63        74
weighted avg       0.71      0.64      0.63        74

Tue Jul 28 14:08:09 2020 at classifier: LRC
Tue Jul 28 14:12:36 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 14:12:36 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:12:36 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 14:12:36 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:12:36 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:12:36 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 14:12:36 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:12:36 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 14:12:36 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:12:36 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:12:36 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:12:36 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 14:12:36 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:12:36 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:12:36 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 14:12:36 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:12:36 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:12:36 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:12:36 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:12:36 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:12:36 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:12:36 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:12:36 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:12:36 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:12:36 2020 Best:
Tue Jul 28 14:12:36 2020 index: 5
Tue Jul 28 14:12:36 2020 score: 0.6813559322033899
Tue Jul 28 14:12:36 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:12:36 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 14:12:36 2020               precision    recall  f1-score   support

 concurrency       0.78      0.78      0.78        23
      memory       0.79      0.73      0.76        26
    semantic       0.74      0.80      0.77        25

    accuracy                           0.77        74
   macro avg       0.77      0.77      0.77        74
weighted avg       0.77      0.77      0.77        74

Tue Jul 28 14:12:36 2020 at iteration: 17
Tue Jul 28 14:12:36 2020 n_samples: 369
Tue Jul 28 14:12:36 2020 at classifier: MNB
Tue Jul 28 14:13:23 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:13:23 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 14:13:23 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:13:23 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 14:13:23 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 14:13:23 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 14:13:23 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 14:13:23 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:13:23 2020 Best:
Tue Jul 28 14:13:23 2020 index: 2
Tue Jul 28 14:13:23 2020 score: 0.728813559322034
Tue Jul 28 14:13:23 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:13:23 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 14:13:23 2020               precision    recall  f1-score   support

 concurrency       0.64      0.75      0.69        24
      memory       0.76      0.79      0.78        24
    semantic       0.67      0.54      0.60        26

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 14:13:23 2020 at classifier: LSVC
Tue Jul 28 14:13:48 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:13:48 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:13:48 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 14:13:48 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 14:13:48 2020 Best:
Tue Jul 28 14:13:48 2020 index: 3
Tue Jul 28 14:13:48 2020 score: 0.7254237288135593
Tue Jul 28 14:13:48 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:13:48 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 14:13:49 2020               precision    recall  f1-score   support

 concurrency       0.64      0.58      0.61        24
      memory       0.82      0.75      0.78        24
    semantic       0.63      0.73      0.68        26

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 14:13:49 2020 at classifier: SGDC
Tue Jul 28 14:14:13 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 14:14:13 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.08
Tue Jul 28 14:14:13 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 14:14:13 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 14:14:13 2020 Best:
Tue Jul 28 14:14:13 2020 index: 2
Tue Jul 28 14:14:13 2020 score: 0.705084745762712
Tue Jul 28 14:14:13 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:14:13 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:14:13 2020               precision    recall  f1-score   support

 concurrency       0.61      0.46      0.52        24
      memory       0.90      0.75      0.82        24
    semantic       0.58      0.81      0.68        26

    accuracy                           0.68        74
   macro avg       0.70      0.67      0.67        74
weighted avg       0.70      0.68      0.67        74

Tue Jul 28 14:14:13 2020 at classifier: RFC
Tue Jul 28 14:14:43 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:14:43 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 14:14:43 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:14:43 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 14:14:43 2020 Best:
Tue Jul 28 14:14:43 2020 index: 2
Tue Jul 28 14:14:43 2020 score: 0.6711864406779661
Tue Jul 28 14:14:43 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:14:43 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 14:14:43 2020               precision    recall  f1-score   support

 concurrency       0.56      0.38      0.45        24
      memory       1.00      0.46      0.63        24
    semantic       0.47      0.85      0.60        26

    accuracy                           0.57        74
   macro avg       0.68      0.56      0.56        74
weighted avg       0.67      0.57      0.56        74

Tue Jul 28 14:14:43 2020 at classifier: LRC
Tue Jul 28 14:19:06 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 14:19:06 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:19:06 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:19:06 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:19:06 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 14:19:06 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 14:19:06 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:19:06 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:19:06 2020 Best:
Tue Jul 28 14:19:06 2020 index: 35
Tue Jul 28 14:19:06 2020 score: 0.7152542372881356
Tue Jul 28 14:19:06 2020 params: {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:19:06 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42,
                                    solver='liblinear'))])
Tue Jul 28 14:19:06 2020               precision    recall  f1-score   support

 concurrency       0.62      0.54      0.58        24
      memory       0.78      0.75      0.77        24
    semantic       0.60      0.69      0.64        26

    accuracy                           0.66        74
   macro avg       0.67      0.66      0.66        74
weighted avg       0.67      0.66      0.66        74

Tue Jul 28 14:19:06 2020 at iteration: 18
Tue Jul 28 14:19:06 2020 n_samples: 369
Tue Jul 28 14:19:06 2020 at classifier: MNB
Tue Jul 28 14:19:50 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:19:50 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:19:50 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:19:50 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:19:50 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:19:50 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:19:50 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:19:50 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:19:50 2020 Best:
Tue Jul 28 14:19:50 2020 index: 1
Tue Jul 28 14:19:50 2020 score: 0.6983050847457626
Tue Jul 28 14:19:50 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:19:50 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 14:19:51 2020               precision    recall  f1-score   support

 concurrency       0.72      0.75      0.73        24
      memory       0.71      0.77      0.74        26
    semantic       0.71      0.62      0.67        24

    accuracy                           0.72        74
   macro avg       0.72      0.71      0.71        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 14:19:51 2020 at classifier: LSVC
Tue Jul 28 14:20:13 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 14:20:13 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:20:13 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:20:13 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:20:13 2020 Best:
Tue Jul 28 14:20:13 2020 index: 0
Tue Jul 28 14:20:13 2020 score: 0.6983050847457626
Tue Jul 28 14:20:13 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:20:13 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:20:13 2020               precision    recall  f1-score   support

 concurrency       0.77      0.83      0.80        24
      memory       0.75      0.69      0.72        26
    semantic       0.71      0.71      0.71        24

    accuracy                           0.74        74
   macro avg       0.74      0.74      0.74        74
weighted avg       0.74      0.74      0.74        74

Tue Jul 28 14:20:13 2020 at classifier: SGDC
Tue Jul 28 14:20:37 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 14:20:37 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 14:20:37 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:20:37 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 14:20:37 2020 Best:
Tue Jul 28 14:20:37 2020 index: 3
Tue Jul 28 14:20:37 2020 score: 0.6983050847457627
Tue Jul 28 14:20:37 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:20:37 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:20:37 2020               precision    recall  f1-score   support

 concurrency       0.76      0.79      0.78        24
      memory       0.72      0.69      0.71        26
    semantic       0.75      0.75      0.75        24

    accuracy                           0.74        74
   macro avg       0.74      0.74      0.74        74
weighted avg       0.74      0.74      0.74        74

Tue Jul 28 14:20:37 2020 at classifier: RFC
Tue Jul 28 14:21:05 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.03
Tue Jul 28 14:21:05 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.02
Tue Jul 28 14:21:05 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 14:21:05 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.02
Tue Jul 28 14:21:05 2020 Best:
Tue Jul 28 14:21:05 2020 index: 2
Tue Jul 28 14:21:05 2020 score: 0.6406779661016948
Tue Jul 28 14:21:05 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:21:05 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 14:21:06 2020               precision    recall  f1-score   support

 concurrency       0.67      0.42      0.51        24
      memory       0.85      0.42      0.56        26
    semantic       0.48      0.92      0.63        24

    accuracy                           0.58        74
   macro avg       0.66      0.59      0.57        74
weighted avg       0.67      0.58      0.57        74

Tue Jul 28 14:21:06 2020 at classifier: LRC
Tue Jul 28 14:25:17 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:25:17 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:25:17 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:25:17 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:25:17 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:25:17 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:25:17 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:25:17 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:25:17 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:25:17 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:25:17 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:25:17 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:25:17 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:25:17 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:25:17 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:25:17 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:25:17 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:25:17 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:25:17 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:25:17 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:25:17 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:25:17 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:25:17 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:25:17 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:25:17 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:25:17 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:25:17 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:25:17 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:25:17 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:25:17 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:25:17 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:25:17 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:25:17 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:25:17 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:25:17 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:25:17 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:25:17 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:25:17 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:25:17 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 14:25:17 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:25:17 2020 Best:
Tue Jul 28 14:25:17 2020 index: 25
Tue Jul 28 14:25:17 2020 score: 0.6949152542372882
Tue Jul 28 14:25:17 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:25:17 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 14:25:17 2020               precision    recall  f1-score   support

 concurrency       0.83      0.83      0.83        24
      memory       0.71      0.77      0.74        26
    semantic       0.82      0.75      0.78        24

    accuracy                           0.78        74
   macro avg       0.79      0.78      0.79        74
weighted avg       0.79      0.78      0.78        74

Tue Jul 28 14:25:17 2020 at iteration: 19
Tue Jul 28 14:25:17 2020 n_samples: 369
Tue Jul 28 14:25:17 2020 at classifier: MNB
Tue Jul 28 14:26:05 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:26:05 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:26:05 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:26:05 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:26:05 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:26:05 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:26:05 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 14:26:05 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:26:05 2020 Best:
Tue Jul 28 14:26:05 2020 index: 3
Tue Jul 28 14:26:05 2020 score: 0.6881355932203389
Tue Jul 28 14:26:05 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:26:05 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 14:26:06 2020               precision    recall  f1-score   support

 concurrency       0.79      0.96      0.86        23
      memory       0.78      0.88      0.82        24
    semantic       0.89      0.63      0.74        27

    accuracy                           0.81        74
   macro avg       0.82      0.82      0.81        74
weighted avg       0.82      0.81      0.80        74

Tue Jul 28 14:26:06 2020 at classifier: LSVC
Tue Jul 28 14:26:30 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 14:26:30 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 14:26:30 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:26:30 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:26:30 2020 Best:
Tue Jul 28 14:26:30 2020 index: 0
Tue Jul 28 14:26:30 2020 score: 0.7186440677966102
Tue Jul 28 14:26:30 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:26:30 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:26:30 2020               precision    recall  f1-score   support

 concurrency       0.91      0.87      0.89        23
      memory       1.00      0.71      0.83        24
    semantic       0.74      0.96      0.84        27

    accuracy                           0.85        74
   macro avg       0.88      0.85      0.85        74
weighted avg       0.88      0.85      0.85        74

Tue Jul 28 14:26:30 2020 at classifier: SGDC
Tue Jul 28 14:26:54 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 14:26:54 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.04
Tue Jul 28 14:26:54 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 14:26:54 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 14:26:54 2020 Best:
Tue Jul 28 14:26:54 2020 index: 2
Tue Jul 28 14:26:54 2020 score: 0.7016949152542372
Tue Jul 28 14:26:54 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:26:54 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:26:55 2020               precision    recall  f1-score   support

 concurrency       0.80      0.87      0.83        23
      memory       1.00      0.71      0.83        24
    semantic       0.78      0.93      0.85        27

    accuracy                           0.84        74
   macro avg       0.86      0.83      0.84        74
weighted avg       0.86      0.84      0.84        74

Tue Jul 28 14:26:55 2020 at classifier: RFC
Tue Jul 28 14:27:24 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 14:27:24 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.08
Tue Jul 28 14:27:24 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:27:24 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.08
Tue Jul 28 14:27:24 2020 Best:
Tue Jul 28 14:27:24 2020 index: 0
Tue Jul 28 14:27:24 2020 score: 0.6745762711864407
Tue Jul 28 14:27:24 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:27:24 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 14:27:24 2020               precision    recall  f1-score   support

 concurrency       0.88      0.65      0.75        23
      memory       1.00      0.62      0.77        24
    semantic       0.62      0.96      0.75        27

    accuracy                           0.76        74
   macro avg       0.83      0.75      0.76        74
weighted avg       0.82      0.76      0.76        74

Tue Jul 28 14:27:24 2020 at classifier: LRC
Tue Jul 28 14:31:56 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:31:56 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:31:56 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:31:56 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:31:56 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:31:56 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:31:56 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:31:56 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:31:56 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:31:56 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:31:56 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:31:56 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:31:56 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:31:56 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:31:56 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:31:56 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:31:56 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:31:56 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:31:56 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:31:56 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 14:31:56 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:31:56 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:31:56 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:31:56 2020 Best:
Tue Jul 28 14:31:56 2020 index: 4
Tue Jul 28 14:31:56 2020 score: 0.6915254237288135
Tue Jul 28 14:31:56 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:31:56 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 14:31:56 2020               precision    recall  f1-score   support

 concurrency       0.86      0.78      0.82        23
      memory       0.94      0.67      0.78        24
    semantic       0.72      0.96      0.83        27

    accuracy                           0.81        74
   macro avg       0.84      0.80      0.81        74
weighted avg       0.84      0.81      0.81        74

Tue Jul 28 14:31:56 2020 at iteration: 20
Tue Jul 28 14:31:56 2020 n_samples: 369
Tue Jul 28 14:31:56 2020 at classifier: MNB
Tue Jul 28 14:32:41 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:32:41 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:32:41 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:32:41 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 14:32:41 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:32:41 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:32:41 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 14:32:41 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 14:32:41 2020 Best:
Tue Jul 28 14:32:41 2020 index: 3
Tue Jul 28 14:32:41 2020 score: 0.7118644067796611
Tue Jul 28 14:32:41 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:32:41 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 14:32:42 2020               precision    recall  f1-score   support

 concurrency       0.80      0.74      0.77        27
      memory       0.79      0.59      0.68        32
    semantic       0.48      0.80      0.60        15

    accuracy                           0.69        74
   macro avg       0.69      0.71      0.68        74
weighted avg       0.73      0.69      0.70        74

Tue Jul 28 14:32:42 2020 at classifier: LSVC
Tue Jul 28 14:33:05 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:33:05 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 14:33:05 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:33:05 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 14:33:05 2020 Best:
Tue Jul 28 14:33:05 2020 index: 3
Tue Jul 28 14:33:05 2020 score: 0.7050847457627119
Tue Jul 28 14:33:05 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:33:05 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 14:33:06 2020               precision    recall  f1-score   support

 concurrency       0.87      0.74      0.80        27
      memory       0.86      0.56      0.68        32
    semantic       0.43      0.87      0.58        15

    accuracy                           0.69        74
   macro avg       0.72      0.72      0.69        74
weighted avg       0.78      0.69      0.70        74

Tue Jul 28 14:33:06 2020 at classifier: SGDC
Tue Jul 28 14:33:28 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 14:33:28 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.05
Tue Jul 28 14:33:28 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:33:28 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 14:33:28 2020 Best:
Tue Jul 28 14:33:28 2020 index: 2
Tue Jul 28 14:33:28 2020 score: 0.6915254237288135
Tue Jul 28 14:33:28 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:33:28 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:33:29 2020               precision    recall  f1-score   support

 concurrency       0.81      0.63      0.71        27
      memory       0.90      0.56      0.69        32
    semantic       0.42      0.93      0.58        15

    accuracy                           0.66        74
   macro avg       0.71      0.71      0.66        74
weighted avg       0.77      0.66      0.68        74

Tue Jul 28 14:33:29 2020 at classifier: RFC
Tue Jul 28 14:33:57 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.04
Tue Jul 28 14:33:57 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.50; std - 0.03
Tue Jul 28 14:33:57 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.04
Tue Jul 28 14:33:57 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.04
Tue Jul 28 14:33:57 2020 Best:
Tue Jul 28 14:33:57 2020 index: 2
Tue Jul 28 14:33:57 2020 score: 0.5389830508474576
Tue Jul 28 14:33:57 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:33:57 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 14:33:57 2020               precision    recall  f1-score   support

 concurrency       0.80      0.30      0.43        27
      memory       1.00      0.19      0.32        32
    semantic       0.26      1.00      0.41        15

    accuracy                           0.39        74
   macro avg       0.69      0.49      0.39        74
weighted avg       0.78      0.39      0.38        74

Tue Jul 28 14:33:57 2020 at classifier: LRC
Tue Jul 28 14:38:11 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:38:11 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:38:11 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:11 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:38:11 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 14:38:11 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 14:38:11 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:38:11 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 14:38:11 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:38:11 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:38:11 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 14:38:11 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:38:11 2020 Best:
Tue Jul 28 14:38:11 2020 index: 39
Tue Jul 28 14:38:11 2020 score: 0.7084745762711864
Tue Jul 28 14:38:11 2020 params: {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:38:11 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42, solver='saga'))])
Tue Jul 28 14:38:12 2020               precision    recall  f1-score   support

 concurrency       0.87      0.74      0.80        27
      memory       0.82      0.56      0.67        32
    semantic       0.41      0.80      0.55        15

    accuracy                           0.68        74
   macro avg       0.70      0.70      0.67        74
weighted avg       0.75      0.68      0.69        74

Tue Jul 28 14:38:12 2020 at iteration: 21
Tue Jul 28 14:38:12 2020 n_samples: 369
Tue Jul 28 14:38:12 2020 at classifier: MNB
Tue Jul 28 14:38:55 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:38:55 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:38:55 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:55 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:38:55 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 14:38:55 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 14:38:55 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:38:55 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:38:55 2020 Best:
Tue Jul 28 14:38:55 2020 index: 3
Tue Jul 28 14:38:55 2020 score: 0.6915254237288135
Tue Jul 28 14:38:55 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:38:55 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 14:38:55 2020               precision    recall  f1-score   support

 concurrency       0.83      0.70      0.76        27
      memory       0.44      1.00      0.61        17
    semantic       0.92      0.37      0.52        30

    accuracy                           0.64        74
   macro avg       0.73      0.69      0.63        74
weighted avg       0.77      0.64      0.63        74

Tue Jul 28 14:38:55 2020 at classifier: LSVC
Tue Jul 28 14:39:18 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 14:39:18 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:39:18 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 14:39:18 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 14:39:18 2020 Best:
Tue Jul 28 14:39:18 2020 index: 0
Tue Jul 28 14:39:18 2020 score: 0.705084745762712
Tue Jul 28 14:39:18 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:39:18 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:39:18 2020               precision    recall  f1-score   support

 concurrency       0.85      0.81      0.83        27
      memory       0.76      0.76      0.76        17
    semantic       0.77      0.80      0.79        30

    accuracy                           0.80        74
   macro avg       0.80      0.79      0.79        74
weighted avg       0.80      0.80      0.80        74

Tue Jul 28 14:39:18 2020 at classifier: SGDC
Tue Jul 28 14:39:40 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 14:39:40 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.07
Tue Jul 28 14:39:40 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 14:39:40 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:39:40 2020 Best:
Tue Jul 28 14:39:40 2020 index: 2
Tue Jul 28 14:39:40 2020 score: 0.7016949152542373
Tue Jul 28 14:39:40 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:39:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:39:40 2020               precision    recall  f1-score   support

 concurrency       0.85      0.85      0.85        27
      memory       0.79      0.88      0.83        17
    semantic       0.86      0.80      0.83        30

    accuracy                           0.84        74
   macro avg       0.83      0.84      0.84        74
weighted avg       0.84      0.84      0.84        74

Tue Jul 28 14:39:40 2020 at classifier: RFC
Tue Jul 28 14:40:08 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 14:40:08 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.05
Tue Jul 28 14:40:08 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.04
Tue Jul 28 14:40:08 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.06
Tue Jul 28 14:40:08 2020 Best:
Tue Jul 28 14:40:08 2020 index: 0
Tue Jul 28 14:40:08 2020 score: 0.6542372881355932
Tue Jul 28 14:40:08 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:40:08 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 14:40:08 2020               precision    recall  f1-score   support

 concurrency       0.89      0.59      0.71        27
      memory       0.60      0.88      0.71        17
    semantic       0.71      0.73      0.72        30

    accuracy                           0.72        74
   macro avg       0.73      0.74      0.72        74
weighted avg       0.75      0.72      0.72        74

Tue Jul 28 14:40:08 2020 at classifier: LRC
Tue Jul 28 14:44:11 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 14:44:11 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 14:44:11 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 14:44:11 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:44:11 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 14:44:11 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:44:11 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:44:11 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:44:11 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:44:11 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:44:11 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:44:11 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 14:44:11 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 14:44:11 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:44:11 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:44:11 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:44:11 2020 Best:
Tue Jul 28 14:44:11 2020 index: 18
Tue Jul 28 14:44:11 2020 score: 0.6915254237288135
Tue Jul 28 14:44:11 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:44:11 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 14:44:11 2020               precision    recall  f1-score   support

 concurrency       0.78      0.78      0.78        27
      memory       0.72      0.76      0.74        17
    semantic       0.76      0.73      0.75        30

    accuracy                           0.76        74
   macro avg       0.75      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 14:44:11 2020 at iteration: 22
Tue Jul 28 14:44:11 2020 n_samples: 369
Tue Jul 28 14:44:11 2020 at classifier: MNB
Tue Jul 28 14:44:57 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 14:44:57 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 14:44:57 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 14:44:57 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 14:44:57 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 14:44:57 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 14:44:57 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 14:44:57 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 14:44:57 2020 Best:
Tue Jul 28 14:44:57 2020 index: 2
Tue Jul 28 14:44:57 2020 score: 0.728813559322034
Tue Jul 28 14:44:57 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:44:57 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 14:44:58 2020               precision    recall  f1-score   support

 concurrency       0.45      0.78      0.57        18
      memory       0.68      0.54      0.60        28
    semantic       0.62      0.46      0.53        28

    accuracy                           0.57        74
   macro avg       0.58      0.59      0.57        74
weighted avg       0.60      0.57      0.57        74

Tue Jul 28 14:44:58 2020 at classifier: LSVC
Tue Jul 28 14:45:21 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.07
Tue Jul 28 14:45:21 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 14:45:21 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:45:21 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:45:21 2020 Best:
Tue Jul 28 14:45:21 2020 index: 0
Tue Jul 28 14:45:21 2020 score: 0.7457627118644068
Tue Jul 28 14:45:21 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:45:21 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:45:22 2020               precision    recall  f1-score   support

 concurrency       0.57      0.67      0.62        18
      memory       0.75      0.54      0.63        28
    semantic       0.64      0.75      0.69        28

    accuracy                           0.65        74
   macro avg       0.65      0.65      0.64        74
weighted avg       0.66      0.65      0.65        74

Tue Jul 28 14:45:22 2020 at classifier: SGDC
Tue Jul 28 14:45:46 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.10
Tue Jul 28 14:45:46 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.12
Tue Jul 28 14:45:46 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:45:46 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 14:45:46 2020 Best:
Tue Jul 28 14:45:46 2020 index: 3
Tue Jul 28 14:45:46 2020 score: 0.735593220338983
Tue Jul 28 14:45:46 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:45:46 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:45:47 2020               precision    recall  f1-score   support

 concurrency       0.46      0.72      0.57        18
      memory       0.89      0.61      0.72        28
    semantic       0.67      0.64      0.65        28

    accuracy                           0.65        74
   macro avg       0.68      0.66      0.65        74
weighted avg       0.70      0.65      0.66        74

Tue Jul 28 14:45:47 2020 at classifier: RFC
Tue Jul 28 14:46:16 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:46:16 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.04
Tue Jul 28 14:46:16 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 14:46:16 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.05
Tue Jul 28 14:46:16 2020 Best:
Tue Jul 28 14:46:16 2020 index: 0
Tue Jul 28 14:46:16 2020 score: 0.6847457627118644
Tue Jul 28 14:46:16 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:46:16 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 14:46:16 2020               precision    recall  f1-score   support

 concurrency       0.35      0.39      0.37        18
      memory       0.93      0.46      0.62        28
    semantic       0.50      0.71      0.59        28

    accuracy                           0.54        74
   macro avg       0.59      0.52      0.53        74
weighted avg       0.63      0.54      0.55        74

Tue Jul 28 14:46:16 2020 at classifier: LRC
Tue Jul 28 14:50:35 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 14:50:35 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 14:50:35 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 14:50:35 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 14:50:35 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 14:50:35 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 14:50:35 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 14:50:35 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 14:50:35 2020 Best:
Tue Jul 28 14:50:35 2020 index: 10
Tue Jul 28 14:50:35 2020 score: 0.7389830508474576
Tue Jul 28 14:50:35 2020 params: {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:50:35 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='newton-cg'))])
Tue Jul 28 14:50:36 2020               precision    recall  f1-score   support

 concurrency       0.55      0.61      0.58        18
      memory       0.75      0.54      0.63        28
    semantic       0.62      0.75      0.68        28

    accuracy                           0.64        74
   macro avg       0.64      0.63      0.63        74
weighted avg       0.65      0.64      0.63        74

Tue Jul 28 14:50:36 2020 at iteration: 23
Tue Jul 28 14:50:36 2020 n_samples: 369
Tue Jul 28 14:50:36 2020 at classifier: MNB
Tue Jul 28 14:51:24 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 14:51:24 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.04
Tue Jul 28 14:51:24 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:51:24 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:51:24 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 14:51:24 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 14:51:24 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 14:51:24 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 14:51:24 2020 Best:
Tue Jul 28 14:51:24 2020 index: 2
Tue Jul 28 14:51:24 2020 score: 0.6881355932203389
Tue Jul 28 14:51:24 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:51:24 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 14:51:24 2020               precision    recall  f1-score   support

 concurrency       0.61      0.94      0.74        18
      memory       0.61      0.81      0.69        21
    semantic       1.00      0.51      0.68        35

    accuracy                           0.70        74
   macro avg       0.74      0.76      0.70        74
weighted avg       0.79      0.70      0.70        74

Tue Jul 28 14:51:24 2020 at classifier: LSVC
Tue Jul 28 14:51:49 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.02
Tue Jul 28 14:51:49 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 14:51:49 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.05
Tue Jul 28 14:51:49 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 14:51:49 2020 Best:
Tue Jul 28 14:51:49 2020 index: 0
Tue Jul 28 14:51:49 2020 score: 0.7491525423728814
Tue Jul 28 14:51:49 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:51:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:51:50 2020               precision    recall  f1-score   support

 concurrency       0.56      0.83      0.67        18
      memory       0.68      0.71      0.70        21
    semantic       0.88      0.63      0.73        35

    accuracy                           0.70        74
   macro avg       0.71      0.73      0.70        74
weighted avg       0.74      0.70      0.71        74

Tue Jul 28 14:51:50 2020 at classifier: SGDC
Tue Jul 28 14:52:15 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.09
Tue Jul 28 14:52:15 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.08
Tue Jul 28 14:52:15 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 14:52:15 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 14:52:15 2020 Best:
Tue Jul 28 14:52:15 2020 index: 2
Tue Jul 28 14:52:15 2020 score: 0.7084745762711865
Tue Jul 28 14:52:15 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:52:15 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:52:15 2020               precision    recall  f1-score   support

 concurrency       0.56      0.83      0.67        18
      memory       0.68      0.71      0.70        21
    semantic       0.88      0.63      0.73        35

    accuracy                           0.70        74
   macro avg       0.71      0.73      0.70        74
weighted avg       0.74      0.70      0.71        74

Tue Jul 28 14:52:15 2020 at classifier: RFC
Tue Jul 28 14:52:46 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 14:52:46 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 14:52:46 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 14:52:46 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 14:52:46 2020 Best:
Tue Jul 28 14:52:46 2020 index: 2
Tue Jul 28 14:52:46 2020 score: 0.6813559322033897
Tue Jul 28 14:52:46 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:52:46 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 14:52:46 2020               precision    recall  f1-score   support

 concurrency       0.54      0.72      0.62        18
      memory       0.57      0.76      0.65        21
    semantic       0.77      0.49      0.60        35

    accuracy                           0.62        74
   macro avg       0.63      0.66      0.62        74
weighted avg       0.66      0.62      0.62        74

Tue Jul 28 14:52:46 2020 at classifier: LRC
Tue Jul 28 14:57:22 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 14:57:22 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:57:22 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 14:57:22 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:57:22 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 14:57:22 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 14:57:22 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 14:57:22 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:57:22 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 14:57:22 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 14:57:22 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 14:57:22 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 14:57:22 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 14:57:22 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 14:57:22 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 14:57:22 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 14:57:22 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 14:57:22 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 14:57:22 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 14:57:22 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 14:57:22 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 14:57:22 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 14:57:22 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 14:57:22 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 14:57:22 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 14:57:22 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 14:57:22 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 14:57:22 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 14:57:22 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 14:57:22 2020 Best:
Tue Jul 28 14:57:22 2020 index: 24
Tue Jul 28 14:57:22 2020 score: 0.7457627118644068
Tue Jul 28 14:57:22 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:57:22 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 14:57:22 2020               precision    recall  f1-score   support

 concurrency       0.54      0.83      0.65        18
      memory       0.71      0.71      0.71        21
    semantic       0.84      0.60      0.70        35

    accuracy                           0.69        74
   macro avg       0.70      0.72      0.69        74
weighted avg       0.73      0.69      0.69        74

Tue Jul 28 14:57:22 2020 at iteration: 24
Tue Jul 28 14:57:22 2020 n_samples: 369
Tue Jul 28 14:57:22 2020 at classifier: MNB
Tue Jul 28 14:58:09 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 14:58:09 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 14:58:09 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:58:09 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 14:58:09 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 14:58:09 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 14:58:09 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:58:09 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 14:58:09 2020 Best:
Tue Jul 28 14:58:09 2020 index: 0
Tue Jul 28 14:58:09 2020 score: 0.688135593220339
Tue Jul 28 14:58:09 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:58:09 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 14:58:09 2020               precision    recall  f1-score   support

 concurrency       0.68      0.77      0.72        22
      memory       0.62      0.72      0.67        25
    semantic       0.80      0.59      0.68        27

    accuracy                           0.69        74
   macro avg       0.70      0.70      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 14:58:09 2020 at classifier: LSVC
Tue Jul 28 14:58:34 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 14:58:34 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 14:58:34 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 14:58:34 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:58:34 2020 Best:
Tue Jul 28 14:58:34 2020 index: 1
Tue Jul 28 14:58:34 2020 score: 0.6949152542372881
Tue Jul 28 14:58:34 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:58:34 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 14:58:34 2020               precision    recall  f1-score   support

 concurrency       0.74      0.77      0.76        22
      memory       0.82      0.72      0.77        25
    semantic       0.72      0.78      0.75        27

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 14:58:34 2020 at classifier: SGDC
Tue Jul 28 14:58:58 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 14:58:58 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 14:58:58 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 14:58:58 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 14:58:58 2020 Best:
Tue Jul 28 14:58:58 2020 index: 2
Tue Jul 28 14:58:58 2020 score: 0.6949152542372881
Tue Jul 28 14:58:58 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:58:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 14:58:58 2020               precision    recall  f1-score   support

 concurrency       0.73      0.73      0.73        22
      memory       0.78      0.72      0.75        25
    semantic       0.72      0.78      0.75        27

    accuracy                           0.74        74
   macro avg       0.74      0.74      0.74        74
weighted avg       0.74      0.74      0.74        74

Tue Jul 28 14:58:58 2020 at classifier: RFC
Tue Jul 28 14:59:28 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 14:59:28 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.02
Tue Jul 28 14:59:28 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 14:59:28 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.02
Tue Jul 28 14:59:28 2020 Best:
Tue Jul 28 14:59:28 2020 index: 0
Tue Jul 28 14:59:28 2020 score: 0.6372881355932203
Tue Jul 28 14:59:28 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 14:59:28 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 14:59:28 2020               precision    recall  f1-score   support

 concurrency       0.88      0.64      0.74        22
      memory       1.00      0.60      0.75        25
    semantic       0.58      0.93      0.71        27

    accuracy                           0.73        74
   macro avg       0.82      0.72      0.73        74
weighted avg       0.81      0.73      0.73        74

Tue Jul 28 14:59:28 2020 at classifier: LRC
Tue Jul 28 15:03:53 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:03:53 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:03:53 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:03:53 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 15:03:53 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:03:53 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:03:53 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:03:53 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:03:53 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 15:03:53 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:03:53 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:03:53 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:03:53 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:03:53 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:03:53 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:03:53 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:03:53 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:03:53 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 15:03:53 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:03:53 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 15:03:53 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:03:53 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:03:53 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:03:53 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 15:03:53 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:03:53 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 15:03:53 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:03:53 2020 Best:
Tue Jul 28 15:03:53 2020 index: 4
Tue Jul 28 15:03:53 2020 score: 0.7050847457627119
Tue Jul 28 15:03:53 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:03:53 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 15:03:53 2020               precision    recall  f1-score   support

 concurrency       0.75      0.68      0.71        22
      memory       0.68      0.68      0.68        25
    semantic       0.69      0.74      0.71        27

    accuracy                           0.70        74
   macro avg       0.71      0.70      0.70        74
weighted avg       0.70      0.70      0.70        74

Tue Jul 28 15:03:53 2020 at iteration: 25
Tue Jul 28 15:03:53 2020 n_samples: 369
Tue Jul 28 15:03:53 2020 at classifier: MNB
Tue Jul 28 15:04:34 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:04:34 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 15:04:34 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:04:34 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:04:34 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 15:04:34 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.02
Tue Jul 28 15:04:34 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:04:34 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:04:34 2020 Best:
Tue Jul 28 15:04:34 2020 index: 2
Tue Jul 28 15:04:34 2020 score: 0.7050847457627119
Tue Jul 28 15:04:34 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:04:34 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 15:04:34 2020               precision    recall  f1-score   support

 concurrency       0.48      0.84      0.62        19
      memory       0.75      0.69      0.72        26
    semantic       0.88      0.52      0.65        29

    accuracy                           0.66        74
   macro avg       0.71      0.68      0.66        74
weighted avg       0.73      0.66      0.67        74

Tue Jul 28 15:04:34 2020 at classifier: LSVC
Tue Jul 28 15:04:55 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:04:55 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 15:04:55 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:04:55 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:04:55 2020 Best:
Tue Jul 28 15:04:55 2020 index: 1
Tue Jul 28 15:04:55 2020 score: 0.7220338983050848
Tue Jul 28 15:04:55 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:04:55 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 15:04:56 2020               precision    recall  f1-score   support

 concurrency       0.60      0.79      0.68        19
      memory       0.81      0.85      0.83        26
    semantic       0.91      0.69      0.78        29

    accuracy                           0.77        74
   macro avg       0.77      0.78      0.77        74
weighted avg       0.80      0.77      0.77        74

Tue Jul 28 15:04:56 2020 at classifier: SGDC
Tue Jul 28 15:05:16 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 15:05:16 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.07
Tue Jul 28 15:05:16 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:05:16 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:05:16 2020 Best:
Tue Jul 28 15:05:16 2020 index: 2
Tue Jul 28 15:05:16 2020 score: 0.7220338983050848
Tue Jul 28 15:05:16 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:05:16 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:05:17 2020               precision    recall  f1-score   support

 concurrency       0.52      0.84      0.64        19
      memory       0.78      0.69      0.73        26
    semantic       0.90      0.62      0.73        29

    accuracy                           0.70        74
   macro avg       0.73      0.72      0.70        74
weighted avg       0.76      0.70      0.71        74

Tue Jul 28 15:05:17 2020 at classifier: RFC
Tue Jul 28 15:05:43 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 15:05:43 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 15:05:43 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 15:05:43 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:05:43 2020 Best:
Tue Jul 28 15:05:43 2020 index: 3
Tue Jul 28 15:05:43 2020 score: 0.6813559322033897
Tue Jul 28 15:05:43 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:05:43 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 15:05:43 2020               precision    recall  f1-score   support

 concurrency       0.46      0.68      0.55        19
      memory       0.93      0.54      0.68        26
    semantic       0.74      0.79      0.77        29

    accuracy                           0.68        74
   macro avg       0.71      0.67      0.67        74
weighted avg       0.74      0.68      0.68        74

Tue Jul 28 15:05:44 2020 at classifier: LRC
Tue Jul 28 15:09:31 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:09:31 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:09:31 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:09:31 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:09:31 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:09:31 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:09:31 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:09:31 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:09:31 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:09:31 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:09:31 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:09:31 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:09:31 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:09:31 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:09:31 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:09:31 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:09:31 2020 Best:
Tue Jul 28 15:09:31 2020 index: 29
Tue Jul 28 15:09:31 2020 score: 0.711864406779661
Tue Jul 28 15:09:31 2020 params: {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:09:31 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='saga'))])
Tue Jul 28 15:09:31 2020               precision    recall  f1-score   support

 concurrency       0.57      0.84      0.68        19
      memory       0.72      0.69      0.71        26
    semantic       0.90      0.66      0.76        29

    accuracy                           0.72        74
   macro avg       0.73      0.73      0.72        74
weighted avg       0.75      0.72      0.72        74

Tue Jul 28 15:09:31 2020 at iteration: 26
Tue Jul 28 15:09:31 2020 n_samples: 369
Tue Jul 28 15:09:31 2020 at classifier: MNB
Tue Jul 28 15:10:20 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 15:10:20 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:10:20 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 15:10:20 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 15:10:20 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:10:20 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:10:20 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 15:10:20 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:10:20 2020 Best:
Tue Jul 28 15:10:20 2020 index: 0
Tue Jul 28 15:10:20 2020 score: 0.735593220338983
Tue Jul 28 15:10:20 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:10:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 15:10:20 2020               precision    recall  f1-score   support

 concurrency       0.68      0.79      0.73        24
      memory       0.74      0.56      0.64        25
    semantic       0.74      0.80      0.77        25

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.71        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 15:10:20 2020 at classifier: LSVC
Tue Jul 28 15:10:46 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 15:10:46 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:10:46 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 15:10:46 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:10:46 2020 Best:
Tue Jul 28 15:10:46 2020 index: 1
Tue Jul 28 15:10:46 2020 score: 0.7423728813559322
Tue Jul 28 15:10:46 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:10:46 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 15:10:47 2020               precision    recall  f1-score   support

 concurrency       0.69      0.75      0.72        24
      memory       0.78      0.56      0.65        25
    semantic       0.73      0.88      0.80        25

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.72        74
weighted avg       0.74      0.73      0.72        74

Tue Jul 28 15:10:47 2020 at classifier: SGDC
Tue Jul 28 15:11:13 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.07
Tue Jul 28 15:11:13 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.06
Tue Jul 28 15:11:13 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:11:13 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 15:11:13 2020 Best:
Tue Jul 28 15:11:13 2020 index: 3
Tue Jul 28 15:11:13 2020 score: 0.728813559322034
Tue Jul 28 15:11:13 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:11:13 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:11:13 2020               precision    recall  f1-score   support

 concurrency       0.64      0.75      0.69        24
      memory       0.76      0.52      0.62        25
    semantic       0.69      0.80      0.74        25

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.68        74
weighted avg       0.70      0.69      0.68        74

Tue Jul 28 15:11:13 2020 at classifier: RFC
Tue Jul 28 15:11:44 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 15:11:44 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.02
Tue Jul 28 15:11:44 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 15:11:44 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.03
Tue Jul 28 15:11:44 2020 Best:
Tue Jul 28 15:11:44 2020 index: 0
Tue Jul 28 15:11:44 2020 score: 0.6745762711864407
Tue Jul 28 15:11:44 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:11:44 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 15:11:44 2020               precision    recall  f1-score   support

 concurrency       0.85      0.46      0.59        24
      memory       0.79      0.44      0.56        25
    semantic       0.49      0.92      0.64        25

    accuracy                           0.61        74
   macro avg       0.71      0.61      0.60        74
weighted avg       0.71      0.61      0.60        74

Tue Jul 28 15:11:44 2020 at classifier: LRC
Tue Jul 28 15:16:18 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 15:16:18 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 15:16:18 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 15:16:18 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 15:16:18 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 15:16:18 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 15:16:18 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.04
Tue Jul 28 15:16:18 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 15:16:18 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 15:16:18 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 15:16:18 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.05
Tue Jul 28 15:16:18 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.05
Tue Jul 28 15:16:18 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 15:16:18 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.05
Tue Jul 28 15:16:18 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 15:16:18 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 15:16:18 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 15:16:18 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 15:16:18 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 15:16:18 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 15:16:18 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 15:16:18 2020 Best:
Tue Jul 28 15:16:18 2020 index: 11
Tue Jul 28 15:16:18 2020 score: 0.7525423728813558
Tue Jul 28 15:16:18 2020 params: {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:16:18 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='newton-cg'))])
Tue Jul 28 15:16:18 2020               precision    recall  f1-score   support

 concurrency       0.69      0.75      0.72        24
      memory       0.78      0.56      0.65        25
    semantic       0.73      0.88      0.80        25

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.72        74
weighted avg       0.74      0.73      0.72        74

Tue Jul 28 15:16:18 2020 at iteration: 27
Tue Jul 28 15:16:18 2020 n_samples: 369
Tue Jul 28 15:16:18 2020 at classifier: MNB
Tue Jul 28 15:17:04 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 15:17:04 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:17:04 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 15:17:04 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 15:17:04 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:17:04 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:17:04 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:17:04 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 15:17:04 2020 Best:
Tue Jul 28 15:17:04 2020 index: 6
Tue Jul 28 15:17:04 2020 score: 0.7084745762711865
Tue Jul 28 15:17:04 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:17:04 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 15:17:04 2020               precision    recall  f1-score   support

 concurrency       0.70      0.83      0.76        23
      memory       0.62      0.76      0.68        21
    semantic       0.86      0.60      0.71        30

    accuracy                           0.72        74
   macro avg       0.73      0.73      0.72        74
weighted avg       0.74      0.72      0.72        74

Tue Jul 28 15:17:04 2020 at classifier: LSVC
Tue Jul 28 15:17:27 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:17:27 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:17:27 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:17:27 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 15:17:27 2020 Best:
Tue Jul 28 15:17:27 2020 index: 0
Tue Jul 28 15:17:27 2020 score: 0.7050847457627119
Tue Jul 28 15:17:27 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:17:27 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 15:17:27 2020               precision    recall  f1-score   support

 concurrency       0.76      0.83      0.79        23
      memory       0.75      0.71      0.73        21
    semantic       0.76      0.73      0.75        30

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 15:17:27 2020 at classifier: SGDC
Tue Jul 28 15:17:51 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 15:17:51 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.05
Tue Jul 28 15:17:51 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 15:17:51 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:17:51 2020 Best:
Tue Jul 28 15:17:51 2020 index: 3
Tue Jul 28 15:17:51 2020 score: 0.6983050847457627
Tue Jul 28 15:17:51 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:17:51 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:17:51 2020               precision    recall  f1-score   support

 concurrency       0.76      0.83      0.79        23
      memory       0.80      0.76      0.78        21
    semantic       0.79      0.77      0.78        30

    accuracy                           0.78        74
   macro avg       0.78      0.78      0.78        74
weighted avg       0.78      0.78      0.78        74

Tue Jul 28 15:17:51 2020 at classifier: RFC
Tue Jul 28 15:18:20 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:18:20 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.03
Tue Jul 28 15:18:20 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 15:18:20 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.05
Tue Jul 28 15:18:20 2020 Best:
Tue Jul 28 15:18:20 2020 index: 0
Tue Jul 28 15:18:20 2020 score: 0.7016949152542372
Tue Jul 28 15:18:20 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:18:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 15:18:20 2020               precision    recall  f1-score   support

 concurrency       0.68      0.65      0.67        23
      memory       0.68      0.71      0.70        21
    semantic       0.70      0.70      0.70        30

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 15:18:20 2020 at classifier: LRC
Tue Jul 28 15:22:37 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:22:37 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:22:37 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:22:37 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:22:37 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:22:37 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:22:37 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:22:37 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:22:37 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:22:37 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:22:37 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:22:37 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 15:22:37 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:22:37 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:22:37 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:22:37 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 15:22:37 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:22:37 2020 Best:
Tue Jul 28 15:22:37 2020 index: 9
Tue Jul 28 15:22:37 2020 score: 0.6983050847457627
Tue Jul 28 15:22:37 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:22:37 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 15:22:37 2020               precision    recall  f1-score   support

 concurrency       0.78      0.78      0.78        23
      memory       0.73      0.76      0.74        21
    semantic       0.76      0.73      0.75        30

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 15:22:37 2020 at iteration: 28
Tue Jul 28 15:22:37 2020 n_samples: 369
Tue Jul 28 15:22:37 2020 at classifier: MNB
Tue Jul 28 15:23:23 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 15:23:23 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:23:23 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 15:23:23 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:23:23 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:23:23 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:23:23 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 15:23:23 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 15:23:23 2020 Best:
Tue Jul 28 15:23:23 2020 index: 1
Tue Jul 28 15:23:23 2020 score: 0.6813559322033897
Tue Jul 28 15:23:23 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:23:23 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 15:23:23 2020               precision    recall  f1-score   support

 concurrency       0.65      0.74      0.69        23
      memory       0.74      0.80      0.77        25
    semantic       0.71      0.58      0.64        26

    accuracy                           0.70        74
   macro avg       0.70      0.71      0.70        74
weighted avg       0.70      0.70      0.70        74

Tue Jul 28 15:23:23 2020 at classifier: LSVC
Tue Jul 28 15:23:47 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:23:47 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:23:47 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:23:47 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:23:47 2020 Best:
Tue Jul 28 15:23:47 2020 index: 1
Tue Jul 28 15:23:47 2020 score: 0.7084745762711865
Tue Jul 28 15:23:47 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:23:47 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 15:23:47 2020               precision    recall  f1-score   support

 concurrency       0.67      0.70      0.68        23
      memory       0.77      0.68      0.72        25
    semantic       0.71      0.77      0.74        26

    accuracy                           0.72        74
   macro avg       0.72      0.71      0.71        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 15:23:47 2020 at classifier: SGDC
Tue Jul 28 15:24:10 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 15:24:10 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.06
Tue Jul 28 15:24:10 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:24:10 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 15:24:10 2020 Best:
Tue Jul 28 15:24:10 2020 index: 2
Tue Jul 28 15:24:10 2020 score: 0.6949152542372882
Tue Jul 28 15:24:10 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:24:10 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:24:10 2020               precision    recall  f1-score   support

 concurrency       0.67      0.70      0.68        23
      memory       0.89      0.64      0.74        25
    semantic       0.69      0.85      0.76        26

    accuracy                           0.73        74
   macro avg       0.75      0.73      0.73        74
weighted avg       0.75      0.73      0.73        74

Tue Jul 28 15:24:10 2020 at classifier: RFC
Tue Jul 28 15:24:39 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 15:24:39 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.02
Tue Jul 28 15:24:39 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.02
Tue Jul 28 15:24:39 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.05
Tue Jul 28 15:24:39 2020 Best:
Tue Jul 28 15:24:39 2020 index: 0
Tue Jul 28 15:24:39 2020 score: 0.6508474576271187
Tue Jul 28 15:24:39 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:24:39 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 15:24:39 2020               precision    recall  f1-score   support

 concurrency       0.81      0.57      0.67        23
      memory       0.87      0.52      0.65        25
    semantic       0.58      0.96      0.72        26

    accuracy                           0.69        74
   macro avg       0.75      0.68      0.68        74
weighted avg       0.75      0.69      0.68        74

Tue Jul 28 15:24:39 2020 at classifier: LRC
Tue Jul 28 15:28:51 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:28:51 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 15:28:51 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:28:51 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:28:51 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:28:51 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:28:51 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:28:51 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:28:51 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:28:51 2020 Best:
Tue Jul 28 15:28:51 2020 index: 24
Tue Jul 28 15:28:51 2020 score: 0.7016949152542373
Tue Jul 28 15:28:51 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:28:51 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 15:28:52 2020               precision    recall  f1-score   support

 concurrency       0.67      0.70      0.68        23
      memory       0.81      0.68      0.74        25
    semantic       0.72      0.81      0.76        26

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 15:28:52 2020 at iteration: 29
Tue Jul 28 15:28:52 2020 n_samples: 369
Tue Jul 28 15:28:52 2020 at classifier: MNB
Tue Jul 28 15:29:34 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 15:29:34 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:29:34 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 15:29:34 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:29:34 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:29:34 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:29:34 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:29:34 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:29:34 2020 Best:
Tue Jul 28 15:29:34 2020 index: 5
Tue Jul 28 15:29:34 2020 score: 0.7084745762711864
Tue Jul 28 15:29:34 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:29:34 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 15:29:34 2020               precision    recall  f1-score   support

 concurrency       0.68      0.73      0.70        26
      memory       0.68      0.71      0.69        24
    semantic       0.71      0.62      0.67        24

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 15:29:34 2020 at classifier: LSVC
Tue Jul 28 15:29:55 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:29:55 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:29:55 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 15:29:55 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:29:55 2020 Best:
Tue Jul 28 15:29:55 2020 index: 0
Tue Jul 28 15:29:55 2020 score: 0.7118644067796611
Tue Jul 28 15:29:55 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:29:55 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 15:29:56 2020               precision    recall  f1-score   support

 concurrency       0.70      0.62      0.65        26
      memory       0.71      0.71      0.71        24
    semantic       0.59      0.67      0.63        24

    accuracy                           0.66        74
   macro avg       0.67      0.66      0.66        74
weighted avg       0.67      0.66      0.66        74

Tue Jul 28 15:29:56 2020 at classifier: SGDC
Tue Jul 28 15:30:17 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 15:30:17 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.03
Tue Jul 28 15:30:17 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 15:30:17 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:30:17 2020 Best:
Tue Jul 28 15:30:17 2020 index: 3
Tue Jul 28 15:30:17 2020 score: 0.711864406779661
Tue Jul 28 15:30:17 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:30:17 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:30:18 2020               precision    recall  f1-score   support

 concurrency       0.68      0.65      0.67        26
      memory       0.83      0.62      0.71        24
    semantic       0.65      0.83      0.73        24

    accuracy                           0.70        74
   macro avg       0.72      0.70      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 15:30:18 2020 at classifier: RFC
Tue Jul 28 15:30:44 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 15:30:44 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.08
Tue Jul 28 15:30:44 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 15:30:44 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 15:30:44 2020 Best:
Tue Jul 28 15:30:44 2020 index: 2
Tue Jul 28 15:30:44 2020 score: 0.6474576271186441
Tue Jul 28 15:30:44 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:30:44 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 15:30:44 2020               precision    recall  f1-score   support

 concurrency       0.58      0.42      0.49        26
      memory       0.90      0.38      0.53        24
    semantic       0.49      0.92      0.64        24

    accuracy                           0.57        74
   macro avg       0.66      0.57      0.55        74
weighted avg       0.65      0.57      0.55        74

Tue Jul 28 15:30:44 2020 at classifier: LRC
Tue Jul 28 15:34:40 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:34:40 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:34:40 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 15:34:40 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:34:40 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:34:40 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:34:40 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:34:40 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:34:40 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:34:40 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:34:40 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:34:40 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:34:40 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 15:34:40 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:34:40 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:34:40 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:34:40 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:34:40 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 15:34:40 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:34:40 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:34:40 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 15:34:40 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:34:40 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:34:40 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:34:40 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:34:40 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:34:40 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 15:34:40 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:34:40 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:34:40 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:34:40 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 15:34:40 2020 Best:
Tue Jul 28 15:34:40 2020 index: 4
Tue Jul 28 15:34:40 2020 score: 0.7186440677966102
Tue Jul 28 15:34:40 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:34:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 15:34:40 2020               precision    recall  f1-score   support

 concurrency       0.71      0.58      0.64        26
      memory       0.74      0.71      0.72        24
    semantic       0.60      0.75      0.67        24

    accuracy                           0.68        74
   macro avg       0.68      0.68      0.68        74
weighted avg       0.69      0.68      0.68        74

Tue Jul 28 15:34:41 2020 at iteration: 30
Tue Jul 28 15:34:41 2020 n_samples: 369
Tue Jul 28 15:34:41 2020 at classifier: MNB
Tue Jul 28 15:35:26 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 15:35:26 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:35:26 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:35:26 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:35:26 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 15:35:26 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:35:26 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:35:26 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 15:35:26 2020 Best:
Tue Jul 28 15:35:26 2020 index: 7
Tue Jul 28 15:35:26 2020 score: 0.7186440677966102
Tue Jul 28 15:35:26 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:35:26 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 15:35:27 2020               precision    recall  f1-score   support

 concurrency       0.67      0.90      0.77        20
      memory       0.79      0.85      0.81        26
    semantic       0.84      0.57      0.68        28

    accuracy                           0.76        74
   macro avg       0.76      0.77      0.75        74
weighted avg       0.77      0.76      0.75        74

Tue Jul 28 15:35:27 2020 at classifier: LSVC
Tue Jul 28 15:35:51 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 15:35:51 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 15:35:51 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:35:51 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:35:51 2020 Best:
Tue Jul 28 15:35:51 2020 index: 1
Tue Jul 28 15:35:51 2020 score: 0.7186440677966102
Tue Jul 28 15:35:51 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:35:51 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 15:35:51 2020               precision    recall  f1-score   support

 concurrency       0.79      0.75      0.77        20
      memory       0.80      0.77      0.78        26
    semantic       0.77      0.82      0.79        28

    accuracy                           0.78        74
   macro avg       0.79      0.78      0.78        74
weighted avg       0.78      0.78      0.78        74

Tue Jul 28 15:35:51 2020 at classifier: SGDC
Tue Jul 28 15:36:15 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.08
Tue Jul 28 15:36:15 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.48; std - 0.08
Tue Jul 28 15:36:15 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 15:36:15 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 15:36:15 2020 Best:
Tue Jul 28 15:36:15 2020 index: 3
Tue Jul 28 15:36:15 2020 score: 0.7186440677966102
Tue Jul 28 15:36:15 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:36:15 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:36:15 2020               precision    recall  f1-score   support

 concurrency       0.73      0.80      0.76        20
      memory       0.83      0.77      0.80        26
    semantic       0.79      0.79      0.79        28

    accuracy                           0.78        74
   macro avg       0.78      0.78      0.78        74
weighted avg       0.79      0.78      0.78        74

Tue Jul 28 15:36:15 2020 at classifier: RFC
Tue Jul 28 15:36:43 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 15:36:43 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.05
Tue Jul 28 15:36:43 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 15:36:43 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.05
Tue Jul 28 15:36:43 2020 Best:
Tue Jul 28 15:36:43 2020 index: 2
Tue Jul 28 15:36:43 2020 score: 0.6372881355932204
Tue Jul 28 15:36:43 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:36:43 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 15:36:44 2020               precision    recall  f1-score   support

 concurrency       0.67      0.60      0.63        20
      memory       0.88      0.58      0.70        26
    semantic       0.64      0.89      0.75        28

    accuracy                           0.70        74
   macro avg       0.73      0.69      0.69        74
weighted avg       0.73      0.70      0.70        74

Tue Jul 28 15:36:44 2020 at classifier: LRC
Tue Jul 28 15:41:05 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 15:41:05 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:41:05 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:41:05 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:41:05 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 15:41:05 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:41:05 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:41:05 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:41:05 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 15:41:05 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:41:05 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:41:05 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 15:41:05 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 15:41:05 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 15:41:05 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 15:41:05 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 15:41:05 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 15:41:05 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:41:05 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 15:41:05 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 15:41:05 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 15:41:05 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 15:41:05 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 15:41:05 2020 Best:
Tue Jul 28 15:41:05 2020 index: 1
Tue Jul 28 15:41:05 2020 score: 0.7084745762711864
Tue Jul 28 15:41:05 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:41:05 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 15:41:05 2020               precision    recall  f1-score   support

 concurrency       0.82      0.70      0.76        20
      memory       0.77      0.77      0.77        26
    semantic       0.77      0.86      0.81        28

    accuracy                           0.78        74
   macro avg       0.79      0.78      0.78        74
weighted avg       0.79      0.78      0.78        74

Tue Jul 28 15:41:05 2020 at iteration: 31
Tue Jul 28 15:41:05 2020 n_samples: 369
Tue Jul 28 15:41:05 2020 at classifier: MNB
Tue Jul 28 15:41:52 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:41:52 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:41:52 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:41:52 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:41:52 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:41:52 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:41:52 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:41:52 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 15:41:52 2020 Best:
Tue Jul 28 15:41:52 2020 index: 5
Tue Jul 28 15:41:52 2020 score: 0.711864406779661
Tue Jul 28 15:41:52 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:41:52 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 15:41:52 2020               precision    recall  f1-score   support

 concurrency       0.74      0.83      0.78        24
      memory       0.67      0.80      0.73        25
    semantic       0.76      0.52      0.62        25

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.71        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 15:41:52 2020 at classifier: LSVC
Tue Jul 28 15:42:16 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:42:16 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 15:42:16 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 15:42:16 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 15:42:16 2020 Best:
Tue Jul 28 15:42:16 2020 index: 3
Tue Jul 28 15:42:16 2020 score: 0.7389830508474576
Tue Jul 28 15:42:16 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:42:16 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 15:42:16 2020               precision    recall  f1-score   support

 concurrency       0.81      0.71      0.76        24
      memory       0.72      0.84      0.78        25
    semantic       0.71      0.68      0.69        25

    accuracy                           0.74        74
   macro avg       0.75      0.74      0.74        74
weighted avg       0.75      0.74      0.74        74

Tue Jul 28 15:42:16 2020 at classifier: SGDC
Tue Jul 28 15:42:40 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 15:42:40 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.05
Tue Jul 28 15:42:40 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 15:42:40 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.01
Tue Jul 28 15:42:40 2020 Best:
Tue Jul 28 15:42:40 2020 index: 3
Tue Jul 28 15:42:40 2020 score: 0.7322033898305084
Tue Jul 28 15:42:40 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:42:40 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:42:41 2020               precision    recall  f1-score   support

 concurrency       0.71      0.71      0.71        24
      memory       0.77      0.68      0.72        25
    semantic       0.61      0.68      0.64        25

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 15:42:41 2020 at classifier: RFC
Tue Jul 28 15:43:09 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 15:43:09 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.03
Tue Jul 28 15:43:09 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 15:43:09 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.02
Tue Jul 28 15:43:09 2020 Best:
Tue Jul 28 15:43:09 2020 index: 0
Tue Jul 28 15:43:09 2020 score: 0.688135593220339
Tue Jul 28 15:43:09 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:43:09 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 15:43:09 2020               precision    recall  f1-score   support

 concurrency       0.86      0.50      0.63        24
      memory       0.78      0.56      0.65        25
    semantic       0.50      0.84      0.63        25

    accuracy                           0.64        74
   macro avg       0.71      0.63      0.64        74
weighted avg       0.71      0.64      0.64        74

Tue Jul 28 15:43:09 2020 at classifier: LRC
Tue Jul 28 15:47:26 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 15:47:26 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:47:26 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 15:47:26 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 15:47:26 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 15:47:26 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 15:47:26 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 15:47:26 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:47:26 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 15:47:26 2020 Best:
Tue Jul 28 15:47:26 2020 index: 29
Tue Jul 28 15:47:26 2020 score: 0.728813559322034
Tue Jul 28 15:47:26 2020 params: {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:47:26 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='saga'))])
Tue Jul 28 15:47:26 2020               precision    recall  f1-score   support

 concurrency       0.84      0.67      0.74        24
      memory       0.75      0.84      0.79        25
    semantic       0.70      0.76      0.73        25

    accuracy                           0.76        74
   macro avg       0.77      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 15:47:26 2020 at iteration: 32
Tue Jul 28 15:47:26 2020 n_samples: 369
Tue Jul 28 15:47:26 2020 at classifier: MNB
Tue Jul 28 15:48:11 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 15:48:11 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:48:11 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:48:11 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:48:11 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:48:11 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:48:11 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 15:48:11 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 15:48:11 2020 Best:
Tue Jul 28 15:48:11 2020 index: 0
Tue Jul 28 15:48:11 2020 score: 0.7186440677966102
Tue Jul 28 15:48:11 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:48:11 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 15:48:11 2020               precision    recall  f1-score   support

 concurrency       0.57      0.85      0.68        20
      memory       0.95      0.61      0.74        33
    semantic       0.65      0.71      0.68        21

    accuracy                           0.70        74
   macro avg       0.72      0.72      0.70        74
weighted avg       0.76      0.70      0.71        74

Tue Jul 28 15:48:11 2020 at classifier: LSVC
Tue Jul 28 15:48:34 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 15:48:34 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:48:34 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:48:34 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:48:34 2020 Best:
Tue Jul 28 15:48:34 2020 index: 1
Tue Jul 28 15:48:34 2020 score: 0.7254237288135592
Tue Jul 28 15:48:34 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:48:34 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 15:48:35 2020               precision    recall  f1-score   support

 concurrency       0.62      0.80      0.70        20
      memory       0.95      0.55      0.69        33
    semantic       0.55      0.76      0.64        21

    accuracy                           0.68        74
   macro avg       0.70      0.70      0.68        74
weighted avg       0.75      0.68      0.68        74

Tue Jul 28 15:48:35 2020 at classifier: SGDC
Tue Jul 28 15:48:58 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.07
Tue Jul 28 15:48:58 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.06
Tue Jul 28 15:48:58 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 15:48:58 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 15:48:58 2020 Best:
Tue Jul 28 15:48:58 2020 index: 2
Tue Jul 28 15:48:58 2020 score: 0.7254237288135593
Tue Jul 28 15:48:58 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:48:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:48:58 2020               precision    recall  f1-score   support

 concurrency       0.59      0.80      0.68        20
      memory       1.00      0.48      0.65        33
    semantic       0.52      0.76      0.62        21

    accuracy                           0.65        74
   macro avg       0.70      0.68      0.65        74
weighted avg       0.75      0.65      0.65        74

Tue Jul 28 15:48:58 2020 at classifier: RFC
Tue Jul 28 15:49:27 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.05
Tue Jul 28 15:49:27 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.08
Tue Jul 28 15:49:27 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.07
Tue Jul 28 15:49:27 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.09
Tue Jul 28 15:49:27 2020 Best:
Tue Jul 28 15:49:27 2020 index: 2
Tue Jul 28 15:49:27 2020 score: 0.5627118644067797
Tue Jul 28 15:49:27 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:49:27 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 15:49:27 2020               precision    recall  f1-score   support

 concurrency       0.65      0.55      0.59        20
      memory       1.00      0.27      0.43        33
    semantic       0.40      0.90      0.55        21

    accuracy                           0.53        74
   macro avg       0.68      0.58      0.52        74
weighted avg       0.73      0.53      0.51        74

Tue Jul 28 15:49:27 2020 at classifier: LRC
Tue Jul 28 15:53:41 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:53:41 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 15:53:41 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 15:53:41 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:53:41 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:53:41 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 15:53:41 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:53:41 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 15:53:41 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:53:41 2020 Best:
Tue Jul 28 15:53:41 2020 index: 39
Tue Jul 28 15:53:41 2020 score: 0.711864406779661
Tue Jul 28 15:53:41 2020 params: {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:53:41 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42, solver='saga'))])
Tue Jul 28 15:53:41 2020               precision    recall  f1-score   support

 concurrency       0.62      0.80      0.70        20
      memory       0.90      0.58      0.70        33
    semantic       0.56      0.71      0.63        21

    accuracy                           0.68        74
   macro avg       0.69      0.70      0.67        74
weighted avg       0.73      0.68      0.68        74

Tue Jul 28 15:53:41 2020 at iteration: 33
Tue Jul 28 15:53:41 2020 n_samples: 369
Tue Jul 28 15:53:41 2020 at classifier: MNB
Tue Jul 28 15:54:19 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 15:54:19 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 15:54:19 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 15:54:19 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 15:54:19 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:54:19 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 15:54:19 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 15:54:19 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 15:54:19 2020 Best:
Tue Jul 28 15:54:19 2020 index: 4
Tue Jul 28 15:54:19 2020 score: 0.7084745762711864
Tue Jul 28 15:54:19 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:54:19 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 15:54:19 2020               precision    recall  f1-score   support

 concurrency       0.77      0.82      0.79        28
      memory       0.67      0.75      0.71        24
    semantic       0.82      0.64      0.72        22

    accuracy                           0.74        74
   macro avg       0.75      0.74      0.74        74
weighted avg       0.75      0.74      0.74        74

Tue Jul 28 15:54:19 2020 at classifier: LSVC
Tue Jul 28 15:54:39 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 15:54:39 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 15:54:39 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 15:54:39 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 15:54:39 2020 Best:
Tue Jul 28 15:54:39 2020 index: 3
Tue Jul 28 15:54:39 2020 score: 0.7389830508474576
Tue Jul 28 15:54:39 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:54:39 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 15:54:40 2020               precision    recall  f1-score   support

 concurrency       0.79      0.79      0.79        28
      memory       0.69      0.75      0.72        24
    semantic       0.75      0.68      0.71        22

    accuracy                           0.74        74
   macro avg       0.74      0.74      0.74        74
weighted avg       0.74      0.74      0.74        74

Tue Jul 28 15:54:40 2020 at classifier: SGDC
Tue Jul 28 15:54:59 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 15:54:59 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 15:54:59 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 15:54:59 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 15:54:59 2020 Best:
Tue Jul 28 15:54:59 2020 index: 2
Tue Jul 28 15:54:59 2020 score: 0.7152542372881355
Tue Jul 28 15:54:59 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:54:59 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 15:55:00 2020               precision    recall  f1-score   support

 concurrency       0.76      0.79      0.77        28
      memory       0.80      0.67      0.73        24
    semantic       0.72      0.82      0.77        22

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 15:55:00 2020 at classifier: RFC
Tue Jul 28 15:55:25 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 15:55:25 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.06
Tue Jul 28 15:55:25 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.03
Tue Jul 28 15:55:25 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.06
Tue Jul 28 15:55:25 2020 Best:
Tue Jul 28 15:55:25 2020 index: 2
Tue Jul 28 15:55:25 2020 score: 0.6406779661016949
Tue Jul 28 15:55:25 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:55:25 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 15:55:25 2020               precision    recall  f1-score   support

 concurrency       0.79      0.54      0.64        28
      memory       0.86      0.50      0.63        24
    semantic       0.51      0.95      0.67        22

    accuracy                           0.65        74
   macro avg       0.72      0.66      0.65        74
weighted avg       0.73      0.65      0.64        74

Tue Jul 28 15:55:25 2020 at classifier: LRC
Tue Jul 28 15:59:02 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 15:59:02 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 15:59:02 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 15:59:02 2020 Best:
Tue Jul 28 15:59:02 2020 index: 24
Tue Jul 28 15:59:02 2020 score: 0.7322033898305085
Tue Jul 28 15:59:02 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:59:02 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 15:59:02 2020               precision    recall  f1-score   support

 concurrency       0.79      0.79      0.79        28
      memory       0.72      0.75      0.73        24
    semantic       0.76      0.73      0.74        22

    accuracy                           0.76        74
   macro avg       0.76      0.75      0.75        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 15:59:03 2020 at iteration: 34
Tue Jul 28 15:59:03 2020 n_samples: 369
Tue Jul 28 15:59:03 2020 at classifier: MNB
Tue Jul 28 15:59:41 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 15:59:41 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 15:59:41 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 15:59:41 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 15:59:41 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 15:59:41 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 15:59:41 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 15:59:41 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 15:59:41 2020 Best:
Tue Jul 28 15:59:41 2020 index: 0
Tue Jul 28 15:59:41 2020 score: 0.6813559322033897
Tue Jul 28 15:59:41 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 15:59:41 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 15:59:41 2020               precision    recall  f1-score   support

 concurrency       0.73      0.79      0.76        28
      memory       0.58      0.79      0.67        19
    semantic       0.83      0.56      0.67        27

    accuracy                           0.70        74
   macro avg       0.71      0.71      0.70        74
weighted avg       0.73      0.70      0.70        74

Tue Jul 28 15:59:41 2020 at classifier: LSVC
Tue Jul 28 16:00:02 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:00:02 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:00:02 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:00:02 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:00:02 2020 Best:
Tue Jul 28 16:00:02 2020 index: 3
Tue Jul 28 16:00:02 2020 score: 0.7220338983050847
Tue Jul 28 16:00:02 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:00:02 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 16:00:02 2020               precision    recall  f1-score   support

 concurrency       0.69      0.79      0.73        28
      memory       0.76      0.68      0.72        19
    semantic       0.72      0.67      0.69        27

    accuracy                           0.72        74
   macro avg       0.72      0.71      0.72        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 16:00:02 2020 at classifier: SGDC
Tue Jul 28 16:00:23 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 16:00:23 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.07
Tue Jul 28 16:00:23 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 16:00:23 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 16:00:23 2020 Best:
Tue Jul 28 16:00:23 2020 index: 3
Tue Jul 28 16:00:23 2020 score: 0.6949152542372881
Tue Jul 28 16:00:23 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:00:23 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:00:24 2020               precision    recall  f1-score   support

 concurrency       0.69      0.86      0.76        28
      memory       0.78      0.74      0.76        19
    semantic       0.76      0.59      0.67        27

    accuracy                           0.73        74
   macro avg       0.74      0.73      0.73        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 16:00:24 2020 at classifier: RFC
Tue Jul 28 16:00:49 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 16:00:49 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.11
Tue Jul 28 16:00:49 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 16:00:49 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.10
Tue Jul 28 16:00:49 2020 Best:
Tue Jul 28 16:00:49 2020 index: 0
Tue Jul 28 16:00:49 2020 score: 0.6406779661016949
Tue Jul 28 16:00:49 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:00:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 16:00:49 2020               precision    recall  f1-score   support

 concurrency       0.67      0.36      0.47        28
      memory       0.76      0.68      0.72        19
    semantic       0.57      0.89      0.70        27

    accuracy                           0.64        74
   macro avg       0.67      0.64      0.63        74
weighted avg       0.66      0.64      0.62        74

Tue Jul 28 16:00:49 2020 at classifier: LRC
Tue Jul 28 16:04:31 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:04:31 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:04:31 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:04:31 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:04:31 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:04:31 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:04:31 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:04:31 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:04:31 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:04:31 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:04:31 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:04:31 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:04:31 2020 Best:
Tue Jul 28 16:04:31 2020 index: 10
Tue Jul 28 16:04:31 2020 score: 0.71864406779661
Tue Jul 28 16:04:31 2020 params: {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:04:31 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='newton-cg'))])
Tue Jul 28 16:04:31 2020               precision    recall  f1-score   support

 concurrency       0.67      0.79      0.72        28
      memory       0.71      0.63      0.67        19
    semantic       0.71      0.63      0.67        27

    accuracy                           0.69        74
   macro avg       0.69      0.68      0.68        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 16:04:31 2020 at iteration: 35
Tue Jul 28 16:04:31 2020 n_samples: 369
Tue Jul 28 16:04:31 2020 at classifier: MNB
Tue Jul 28 16:05:18 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 16:05:18 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 16:05:18 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 16:05:18 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 16:05:18 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 16:05:18 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:05:18 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 16:05:18 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 16:05:18 2020 Best:
Tue Jul 28 16:05:18 2020 index: 1
Tue Jul 28 16:05:18 2020 score: 0.735593220338983
Tue Jul 28 16:05:18 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:05:18 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 16:05:18 2020               precision    recall  f1-score   support

 concurrency       0.52      0.85      0.64        20
      memory       0.84      0.64      0.73        25
    semantic       0.82      0.62      0.71        29

    accuracy                           0.69        74
   macro avg       0.73      0.70      0.69        74
weighted avg       0.74      0.69      0.70        74

Tue Jul 28 16:05:18 2020 at classifier: LSVC
Tue Jul 28 16:05:42 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 16:05:42 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.08
Tue Jul 28 16:05:42 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:05:42 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:05:42 2020 Best:
Tue Jul 28 16:05:42 2020 index: 1
Tue Jul 28 16:05:42 2020 score: 0.7457627118644068
Tue Jul 28 16:05:42 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:05:42 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:05:43 2020               precision    recall  f1-score   support

 concurrency       0.62      0.80      0.70        20
      memory       0.94      0.68      0.79        25
    semantic       0.77      0.79      0.78        29

    accuracy                           0.76        74
   macro avg       0.78      0.76      0.76        74
weighted avg       0.79      0.76      0.76        74

Tue Jul 28 16:05:43 2020 at classifier: SGDC
Tue Jul 28 16:06:06 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 16:06:06 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.07
Tue Jul 28 16:06:06 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.09
Tue Jul 28 16:06:06 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.10
Tue Jul 28 16:06:06 2020 Best:
Tue Jul 28 16:06:06 2020 index: 2
Tue Jul 28 16:06:06 2020 score: 0.728813559322034
Tue Jul 28 16:06:06 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:06:06 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:06:06 2020               precision    recall  f1-score   support

 concurrency       0.57      0.80      0.67        20
      memory       0.88      0.60      0.71        25
    semantic       0.72      0.72      0.72        29

    accuracy                           0.70        74
   macro avg       0.73      0.71      0.70        74
weighted avg       0.74      0.70      0.71        74

Tue Jul 28 16:06:06 2020 at classifier: RFC
Tue Jul 28 16:06:35 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.11
Tue Jul 28 16:06:35 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.11
Tue Jul 28 16:06:35 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.09
Tue Jul 28 16:06:35 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.12
Tue Jul 28 16:06:35 2020 Best:
Tue Jul 28 16:06:35 2020 index: 0
Tue Jul 28 16:06:35 2020 score: 0.6813559322033897
Tue Jul 28 16:06:35 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:06:35 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 16:06:35 2020               precision    recall  f1-score   support

 concurrency       0.57      0.65      0.60        20
      memory       0.76      0.52      0.62        25
    semantic       0.68      0.79      0.73        29

    accuracy                           0.66        74
   macro avg       0.67      0.65      0.65        74
weighted avg       0.68      0.66      0.66        74

Tue Jul 28 16:06:35 2020 at classifier: LRC
Tue Jul 28 16:10:53 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:10:53 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 16:10:53 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:10:53 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 16:10:53 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:10:53 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.09
Tue Jul 28 16:10:53 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:10:53 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 16:10:53 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:10:53 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 16:10:53 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:10:53 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:10:53 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 16:10:53 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:10:53 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 16:10:53 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 16:10:53 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:10:53 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:10:53 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 16:10:53 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:10:53 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:10:53 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:10:53 2020 Best:
Tue Jul 28 16:10:53 2020 index: 4
Tue Jul 28 16:10:53 2020 score: 0.7186440677966102
Tue Jul 28 16:10:53 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:10:53 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 16:10:53 2020               precision    recall  f1-score   support

 concurrency       0.64      0.80      0.71        20
      memory       0.88      0.60      0.71        25
    semantic       0.72      0.79      0.75        29

    accuracy                           0.73        74
   macro avg       0.75      0.73      0.73        74
weighted avg       0.75      0.73      0.73        74

Tue Jul 28 16:10:53 2020 at iteration: 36
Tue Jul 28 16:10:53 2020 n_samples: 369
Tue Jul 28 16:10:53 2020 at classifier: MNB
Tue Jul 28 16:11:36 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 16:11:36 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 16:11:36 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 16:11:36 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 16:11:36 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 16:11:36 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 16:11:36 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 16:11:36 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:11:36 2020 Best:
Tue Jul 28 16:11:36 2020 index: 4
Tue Jul 28 16:11:36 2020 score: 0.6983050847457626
Tue Jul 28 16:11:36 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:11:36 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 16:11:36 2020               precision    recall  f1-score   support

 concurrency       0.73      0.81      0.77        27
      memory       0.88      0.58      0.70        24
    semantic       0.68      0.83      0.75        23

    accuracy                           0.74        74
   macro avg       0.76      0.74      0.74        74
weighted avg       0.76      0.74      0.74        74

Tue Jul 28 16:11:36 2020 at classifier: LSVC
Tue Jul 28 16:11:58 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 16:11:58 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 16:11:58 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 16:11:58 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 16:11:58 2020 Best:
Tue Jul 28 16:11:58 2020 index: 0
Tue Jul 28 16:11:58 2020 score: 0.6915254237288135
Tue Jul 28 16:11:58 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:11:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:11:58 2020               precision    recall  f1-score   support

 concurrency       0.79      0.81      0.80        27
      memory       0.89      0.71      0.79        24
    semantic       0.67      0.78      0.72        23

    accuracy                           0.77        74
   macro avg       0.78      0.77      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 16:11:58 2020 at classifier: SGDC
Tue Jul 28 16:12:20 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.03
Tue Jul 28 16:12:20 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 16:12:20 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 16:12:20 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 16:12:20 2020 Best:
Tue Jul 28 16:12:20 2020 index: 3
Tue Jul 28 16:12:20 2020 score: 0.6847457627118644
Tue Jul 28 16:12:20 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:12:20 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:12:21 2020               precision    recall  f1-score   support

 concurrency       0.71      0.81      0.76        27
      memory       1.00      0.62      0.77        24
    semantic       0.64      0.78      0.71        23

    accuracy                           0.74        74
   macro avg       0.78      0.74      0.74        74
weighted avg       0.78      0.74      0.75        74

Tue Jul 28 16:12:21 2020 at classifier: RFC
Tue Jul 28 16:12:48 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 16:12:48 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.04
Tue Jul 28 16:12:48 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 16:12:48 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 16:12:48 2020 Best:
Tue Jul 28 16:12:48 2020 index: 2
Tue Jul 28 16:12:48 2020 score: 0.6440677966101693
Tue Jul 28 16:12:48 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:12:48 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 16:12:48 2020               precision    recall  f1-score   support

 concurrency       0.70      0.52      0.60        27
      memory       1.00      0.42      0.59        24
    semantic       0.50      0.96      0.66        23

    accuracy                           0.62        74
   macro avg       0.73      0.63      0.61        74
weighted avg       0.74      0.62      0.61        74

Tue Jul 28 16:12:48 2020 at classifier: LRC
Tue Jul 28 16:16:46 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:16:46 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:16:46 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 16:16:46 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 16:16:46 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:16:46 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:16:46 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.05
Tue Jul 28 16:16:46 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:16:46 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:16:46 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:16:46 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 16:16:46 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:16:46 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 16:16:46 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:16:46 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 16:16:46 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:16:46 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 16:16:46 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:16:46 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.05
Tue Jul 28 16:16:46 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 16:16:46 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 16:16:46 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:16:46 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 16:16:46 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:16:46 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:16:46 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 16:16:46 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:16:46 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 16:16:46 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 16:16:46 2020 Best:
Tue Jul 28 16:16:46 2020 index: 39
Tue Jul 28 16:16:46 2020 score: 0.6745762711864407
Tue Jul 28 16:16:46 2020 params: {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:16:46 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42, solver='saga'))])
Tue Jul 28 16:16:47 2020               precision    recall  f1-score   support

 concurrency       0.76      0.81      0.79        27
      memory       0.89      0.67      0.76        24
    semantic       0.67      0.78      0.72        23

    accuracy                           0.76        74
   macro avg       0.77      0.75      0.76        74
weighted avg       0.77      0.76      0.76        74

Tue Jul 28 16:16:47 2020 at iteration: 37
Tue Jul 28 16:16:47 2020 n_samples: 369
Tue Jul 28 16:16:47 2020 at classifier: MNB
Tue Jul 28 16:17:34 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:17:34 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:17:34 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 16:17:34 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:17:34 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 16:17:34 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 16:17:34 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:17:34 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 16:17:34 2020 Best:
Tue Jul 28 16:17:34 2020 index: 2
Tue Jul 28 16:17:34 2020 score: 0.7288135593220338
Tue Jul 28 16:17:34 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:17:34 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 16:17:34 2020               precision    recall  f1-score   support

 concurrency       0.52      0.79      0.62        19
      memory       0.62      0.73      0.67        22
    semantic       0.89      0.52      0.65        33

    accuracy                           0.65        74
   macro avg       0.68      0.68      0.65        74
weighted avg       0.71      0.65      0.65        74

Tue Jul 28 16:17:34 2020 at classifier: LSVC
Tue Jul 28 16:17:58 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 16:17:58 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 16:17:58 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:17:58 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 16:17:58 2020 Best:
Tue Jul 28 16:17:58 2020 index: 0
Tue Jul 28 16:17:58 2020 score: 0.735593220338983
Tue Jul 28 16:17:58 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:17:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:17:58 2020               precision    recall  f1-score   support

 concurrency       0.58      0.79      0.67        19
      memory       0.71      0.55      0.62        22
    semantic       0.77      0.73      0.75        33

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.68        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 16:17:58 2020 at classifier: SGDC
Tue Jul 28 16:18:23 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 16:18:23 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.06
Tue Jul 28 16:18:23 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:18:23 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:18:23 2020 Best:
Tue Jul 28 16:18:23 2020 index: 2
Tue Jul 28 16:18:23 2020 score: 0.7322033898305085
Tue Jul 28 16:18:23 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:18:23 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:18:23 2020               precision    recall  f1-score   support

 concurrency       0.55      0.84      0.67        19
      memory       0.70      0.64      0.67        22
    semantic       0.84      0.64      0.72        33

    accuracy                           0.69        74
   macro avg       0.70      0.70      0.69        74
weighted avg       0.72      0.69      0.69        74

Tue Jul 28 16:18:23 2020 at classifier: RFC
Tue Jul 28 16:18:52 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:18:52 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.01
Tue Jul 28 16:18:52 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 16:18:52 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 16:18:52 2020 Best:
Tue Jul 28 16:18:52 2020 index: 0
Tue Jul 28 16:18:52 2020 score: 0.6949152542372881
Tue Jul 28 16:18:52 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:18:52 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 16:18:52 2020               precision    recall  f1-score   support

 concurrency       0.62      0.84      0.71        19
      memory       0.85      0.77      0.81        22
    semantic       0.86      0.73      0.79        33

    accuracy                           0.77        74
   macro avg       0.77      0.78      0.77        74
weighted avg       0.79      0.77      0.77        74

Tue Jul 28 16:18:52 2020 at classifier: LRC
Tue Jul 28 16:23:19 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:23:19 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:23:19 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:23:19 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:23:19 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:23:19 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:23:19 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:23:19 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:23:19 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:23:19 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:23:19 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:23:19 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:23:19 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 16:23:19 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:23:19 2020 Best:
Tue Jul 28 16:23:19 2020 index: 11
Tue Jul 28 16:23:19 2020 score: 0.7118644067796611
Tue Jul 28 16:23:19 2020 params: {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:23:19 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='newton-cg'))])
Tue Jul 28 16:23:19 2020               precision    recall  f1-score   support

 concurrency       0.62      0.79      0.70        19
      memory       0.64      0.64      0.64        22
    semantic       0.82      0.70      0.75        33

    accuracy                           0.70        74
   macro avg       0.69      0.71      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 16:23:19 2020 at iteration: 38
Tue Jul 28 16:23:19 2020 n_samples: 369
Tue Jul 28 16:23:19 2020 at classifier: MNB
Tue Jul 28 16:23:58 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 16:23:58 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 16:23:58 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:23:58 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:23:58 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:23:58 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:23:58 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:23:58 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:23:58 2020 Best:
Tue Jul 28 16:23:58 2020 index: 0
Tue Jul 28 16:23:58 2020 score: 0.7254237288135593
Tue Jul 28 16:23:58 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:23:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 16:23:58 2020               precision    recall  f1-score   support

 concurrency       0.87      0.71      0.78        28
      memory       0.76      0.85      0.80        26
    semantic       0.73      0.80      0.76        20

    accuracy                           0.78        74
   macro avg       0.79      0.79      0.78        74
weighted avg       0.79      0.78      0.78        74

Tue Jul 28 16:23:58 2020 at classifier: LSVC
Tue Jul 28 16:24:18 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:24:18 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:24:18 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:24:18 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:24:18 2020 Best:
Tue Jul 28 16:24:18 2020 index: 0
Tue Jul 28 16:24:18 2020 score: 0.7220338983050847
Tue Jul 28 16:24:18 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:24:18 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:24:18 2020               precision    recall  f1-score   support

 concurrency       0.85      0.79      0.81        28
      memory       0.77      0.65      0.71        26
    semantic       0.65      0.85      0.74        20

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.75        74
weighted avg       0.77      0.76      0.76        74

Tue Jul 28 16:24:18 2020 at classifier: SGDC
Tue Jul 28 16:24:38 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 16:24:38 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.02
Tue Jul 28 16:24:38 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:24:38 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:24:38 2020 Best:
Tue Jul 28 16:24:38 2020 index: 2
Tue Jul 28 16:24:38 2020 score: 0.7220338983050847
Tue Jul 28 16:24:38 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:24:38 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:24:39 2020               precision    recall  f1-score   support

 concurrency       0.90      0.68      0.78        28
      memory       0.81      0.65      0.72        26
    semantic       0.59      0.95      0.73        20

    accuracy                           0.74        74
   macro avg       0.77      0.76      0.74        74
weighted avg       0.79      0.74      0.75        74

Tue Jul 28 16:24:39 2020 at classifier: RFC
Tue Jul 28 16:25:04 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.06
Tue Jul 28 16:25:04 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.05
Tue Jul 28 16:25:04 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.06
Tue Jul 28 16:25:04 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.06
Tue Jul 28 16:25:04 2020 Best:
Tue Jul 28 16:25:04 2020 index: 0
Tue Jul 28 16:25:04 2020 score: 0.6203389830508474
Tue Jul 28 16:25:04 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:25:04 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 16:25:04 2020               precision    recall  f1-score   support

 concurrency       0.92      0.43      0.59        28
      memory       0.78      0.27      0.40        26
    semantic       0.38      1.00      0.56        20

    accuracy                           0.53        74
   macro avg       0.70      0.57      0.51        74
weighted avg       0.73      0.53      0.51        74

Tue Jul 28 16:25:04 2020 at classifier: LRC
Tue Jul 28 16:28:53 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:28:53 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:28:53 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:28:53 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:28:53 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:28:53 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:28:53 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:28:53 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:28:53 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:28:53 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:28:53 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:28:53 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:28:53 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:28:53 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:28:53 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:28:53 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:28:53 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:28:53 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:28:53 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:28:53 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:28:53 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:28:53 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:28:53 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:28:53 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:28:53 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 16:28:53 2020 Best:
Tue Jul 28 16:28:53 2020 index: 5
Tue Jul 28 16:28:53 2020 score: 0.7254237288135592
Tue Jul 28 16:28:53 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:28:53 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 16:28:53 2020               precision    recall  f1-score   support

 concurrency       0.83      0.68      0.75        28
      memory       0.73      0.62      0.67        26
    semantic       0.55      0.80      0.65        20

    accuracy                           0.69        74
   macro avg       0.70      0.70      0.69        74
weighted avg       0.72      0.69      0.69        74

Tue Jul 28 16:28:53 2020 at iteration: 39
Tue Jul 28 16:28:53 2020 n_samples: 369
Tue Jul 28 16:28:53 2020 at classifier: MNB
Tue Jul 28 16:29:40 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:29:40 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 16:29:40 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:29:40 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:29:40 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 16:29:40 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 16:29:40 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:29:40 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:29:40 2020 Best:
Tue Jul 28 16:29:40 2020 index: 6
Tue Jul 28 16:29:40 2020 score: 0.7084745762711864
Tue Jul 28 16:29:40 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:29:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 16:29:40 2020               precision    recall  f1-score   support

 concurrency       0.79      0.69      0.73        32
      memory       0.57      0.80      0.67        15
    semantic       0.76      0.70      0.73        27

    accuracy                           0.72        74
   macro avg       0.71      0.73      0.71        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 16:29:40 2020 at classifier: LSVC
Tue Jul 28 16:30:05 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:30:05 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 16:30:05 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:30:05 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:30:05 2020 Best:
Tue Jul 28 16:30:05 2020 index: 1
Tue Jul 28 16:30:05 2020 score: 0.7254237288135593
Tue Jul 28 16:30:05 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:30:05 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:30:05 2020               precision    recall  f1-score   support

 concurrency       0.85      0.53      0.65        32
      memory       0.62      0.67      0.65        15
    semantic       0.58      0.81      0.68        27

    accuracy                           0.66        74
   macro avg       0.68      0.67      0.66        74
weighted avg       0.71      0.66      0.66        74

Tue Jul 28 16:30:05 2020 at classifier: SGDC
Tue Jul 28 16:30:29 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.07
Tue Jul 28 16:30:29 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.10
Tue Jul 28 16:30:29 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 16:30:29 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:30:29 2020 Best:
Tue Jul 28 16:30:29 2020 index: 3
Tue Jul 28 16:30:29 2020 score: 0.7322033898305085
Tue Jul 28 16:30:29 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:30:29 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:30:30 2020               precision    recall  f1-score   support

 concurrency       0.77      0.62      0.69        32
      memory       0.59      0.67      0.62        15
    semantic       0.65      0.74      0.69        27

    accuracy                           0.68        74
   macro avg       0.67      0.68      0.67        74
weighted avg       0.69      0.68      0.68        74

Tue Jul 28 16:30:30 2020 at classifier: RFC
Tue Jul 28 16:30:59 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.03
Tue Jul 28 16:30:59 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 16:30:59 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 16:30:59 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.09
Tue Jul 28 16:30:59 2020 Best:
Tue Jul 28 16:30:59 2020 index: 0
Tue Jul 28 16:30:59 2020 score: 0.6372881355932203
Tue Jul 28 16:30:59 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:30:59 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 16:30:59 2020               precision    recall  f1-score   support

 concurrency       0.91      0.31      0.47        32
      memory       0.60      0.80      0.69        15
    semantic       0.49      0.78      0.60        27

    accuracy                           0.58        74
   macro avg       0.67      0.63      0.58        74
weighted avg       0.69      0.58      0.56        74

Tue Jul 28 16:30:59 2020 at classifier: LRC
Tue Jul 28 16:35:25 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:35:25 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:35:25 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:35:25 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:35:25 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:35:25 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:35:25 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:35:25 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:35:25 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:35:25 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:35:25 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:35:25 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:35:25 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:35:25 2020 Best:
Tue Jul 28 16:35:25 2020 index: 39
Tue Jul 28 16:35:25 2020 score: 0.7220338983050846
Tue Jul 28 16:35:25 2020 params: {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:35:25 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42, solver='saga'))])
Tue Jul 28 16:35:26 2020               precision    recall  f1-score   support

 concurrency       0.85      0.53      0.65        32
      memory       0.62      0.67      0.65        15
    semantic       0.58      0.81      0.68        27

    accuracy                           0.66        74
   macro avg       0.68      0.67      0.66        74
weighted avg       0.71      0.66      0.66        74

Tue Jul 28 16:35:26 2020 at iteration: 40
Tue Jul 28 16:35:26 2020 n_samples: 369
Tue Jul 28 16:35:26 2020 at classifier: MNB
Tue Jul 28 16:36:07 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 16:36:07 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 16:36:07 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 16:36:07 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 16:36:07 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 16:36:07 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 16:36:07 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 16:36:07 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 16:36:07 2020 Best:
Tue Jul 28 16:36:07 2020 index: 2
Tue Jul 28 16:36:07 2020 score: 0.6813559322033897
Tue Jul 28 16:36:07 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:36:07 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 16:36:07 2020               precision    recall  f1-score   support

 concurrency       0.90      0.74      0.81        35
      memory       0.42      0.62      0.50        16
    semantic       0.57      0.52      0.55        23

    accuracy                           0.65        74
   macro avg       0.63      0.63      0.62        74
weighted avg       0.69      0.65      0.66        74

Tue Jul 28 16:36:07 2020 at classifier: LSVC
Tue Jul 28 16:36:28 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.02
Tue Jul 28 16:36:28 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:36:28 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.01
Tue Jul 28 16:36:28 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 16:36:28 2020 Best:
Tue Jul 28 16:36:28 2020 index: 0
Tue Jul 28 16:36:28 2020 score: 0.7389830508474576
Tue Jul 28 16:36:28 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:36:28 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:36:28 2020               precision    recall  f1-score   support

 concurrency       0.84      0.74      0.79        35
      memory       0.53      0.50      0.52        16
    semantic       0.61      0.74      0.67        23

    accuracy                           0.69        74
   macro avg       0.66      0.66      0.66        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 16:36:28 2020 at classifier: SGDC
Tue Jul 28 16:36:49 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 16:36:49 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 16:36:49 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 16:36:49 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:36:49 2020 Best:
Tue Jul 28 16:36:49 2020 index: 2
Tue Jul 28 16:36:49 2020 score: 0.735593220338983
Tue Jul 28 16:36:49 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:36:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:36:49 2020               precision    recall  f1-score   support

 concurrency       0.81      0.71      0.76        35
      memory       0.57      0.50      0.53        16
    semantic       0.62      0.78      0.69        23

    accuracy                           0.69        74
   macro avg       0.67      0.67      0.66        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 16:36:49 2020 at classifier: RFC
Tue Jul 28 16:37:16 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 16:37:16 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 16:37:16 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.07
Tue Jul 28 16:37:16 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 16:37:16 2020 Best:
Tue Jul 28 16:37:16 2020 index: 2
Tue Jul 28 16:37:16 2020 score: 0.6305084745762712
Tue Jul 28 16:37:16 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:37:16 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 16:37:16 2020               precision    recall  f1-score   support

 concurrency       0.93      0.37      0.53        35
      memory       0.50      0.69      0.58        16
    semantic       0.47      0.78      0.59        23

    accuracy                           0.57        74
   macro avg       0.63      0.61      0.57        74
weighted avg       0.69      0.57      0.56        74

Tue Jul 28 16:37:16 2020 at classifier: LRC
Tue Jul 28 16:41:11 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:41:11 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:41:11 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:41:11 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:41:11 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:41:11 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:41:11 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 16:41:11 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:41:11 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:41:11 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:41:11 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:41:11 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 16:41:11 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:41:11 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:41:11 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:41:11 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:41:11 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:41:11 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:41:11 2020 Best:
Tue Jul 28 16:41:11 2020 index: 0
Tue Jul 28 16:41:11 2020 score: 0.7254237288135593
Tue Jul 28 16:41:11 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:41:11 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 16:41:12 2020               precision    recall  f1-score   support

 concurrency       0.83      0.69      0.75        35
      memory       0.50      0.44      0.47        16
    semantic       0.55      0.74      0.63        23

    accuracy                           0.65        74
   macro avg       0.63      0.62      0.62        74
weighted avg       0.67      0.65      0.65        74

Tue Jul 28 16:41:12 2020 at iteration: 41
Tue Jul 28 16:41:12 2020 n_samples: 369
Tue Jul 28 16:41:12 2020 at classifier: MNB
Tue Jul 28 16:41:56 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:41:56 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:41:56 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:41:56 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 16:41:56 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:41:56 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:41:56 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:41:56 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:41:56 2020 Best:
Tue Jul 28 16:41:56 2020 index: 6
Tue Jul 28 16:41:56 2020 score: 0.7220338983050848
Tue Jul 28 16:41:56 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:41:56 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 16:41:56 2020               precision    recall  f1-score   support

 concurrency       0.63      0.83      0.72        23
      memory       0.85      0.57      0.68        30
    semantic       0.58      0.67      0.62        21

    accuracy                           0.68        74
   macro avg       0.69      0.69      0.67        74
weighted avg       0.71      0.68      0.68        74

Tue Jul 28 16:41:56 2020 at classifier: LSVC
Tue Jul 28 16:42:19 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 16:42:19 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 16:42:19 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:42:19 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 16:42:19 2020 Best:
Tue Jul 28 16:42:19 2020 index: 0
Tue Jul 28 16:42:19 2020 score: 0.7254237288135593
Tue Jul 28 16:42:19 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:42:19 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:42:19 2020               precision    recall  f1-score   support

 concurrency       0.64      0.70      0.67        23
      memory       0.94      0.53      0.68        30
    semantic       0.56      0.86      0.68        21

    accuracy                           0.68        74
   macro avg       0.71      0.70      0.68        74
weighted avg       0.74      0.68      0.68        74

Tue Jul 28 16:42:19 2020 at classifier: SGDC
Tue Jul 28 16:42:42 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.09
Tue Jul 28 16:42:42 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.09
Tue Jul 28 16:42:42 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:42:42 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 16:42:42 2020 Best:
Tue Jul 28 16:42:42 2020 index: 2
Tue Jul 28 16:42:42 2020 score: 0.711864406779661
Tue Jul 28 16:42:42 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:42:42 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:42:42 2020               precision    recall  f1-score   support

 concurrency       0.65      0.74      0.69        23
      memory       1.00      0.53      0.70        30
    semantic       0.56      0.86      0.68        21

    accuracy                           0.69        74
   macro avg       0.74      0.71      0.69        74
weighted avg       0.77      0.69      0.69        74

Tue Jul 28 16:42:42 2020 at classifier: RFC
Tue Jul 28 16:43:10 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 16:43:10 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 16:43:10 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 16:43:10 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 16:43:10 2020 Best:
Tue Jul 28 16:43:10 2020 index: 2
Tue Jul 28 16:43:10 2020 score: 0.6372881355932203
Tue Jul 28 16:43:10 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:43:10 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 16:43:10 2020               precision    recall  f1-score   support

 concurrency       0.58      0.61      0.60        23
      memory       1.00      0.20      0.33        30
    semantic       0.39      0.81      0.52        21

    accuracy                           0.50        74
   macro avg       0.66      0.54      0.48        74
weighted avg       0.70      0.50      0.47        74

Tue Jul 28 16:43:10 2020 at classifier: LRC
Tue Jul 28 16:47:21 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 16:47:21 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 16:47:21 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 16:47:21 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 16:47:21 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 16:47:21 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:47:21 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:47:21 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:47:21 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 16:47:21 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:47:21 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:47:21 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:47:21 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:47:21 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 16:47:21 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 16:47:21 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 16:47:21 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:47:21 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.01
Tue Jul 28 16:47:21 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:47:21 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 16:47:21 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:47:21 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 16:47:21 2020 Best:
Tue Jul 28 16:47:21 2020 index: 14
Tue Jul 28 16:47:21 2020 score: 0.7220338983050847
Tue Jul 28 16:47:21 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:47:21 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 16:47:21 2020               precision    recall  f1-score   support

 concurrency       0.62      0.70      0.65        23
      memory       1.00      0.53      0.70        30
    semantic       0.53      0.81      0.64        21

    accuracy                           0.66        74
   macro avg       0.72      0.68      0.66        74
weighted avg       0.75      0.66      0.67        74

Tue Jul 28 16:47:22 2020 at iteration: 42
Tue Jul 28 16:47:22 2020 n_samples: 369
Tue Jul 28 16:47:22 2020 at classifier: MNB
Tue Jul 28 16:48:01 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:48:01 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:48:01 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:48:01 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:48:01 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:48:01 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:48:01 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:48:01 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:48:01 2020 Best:
Tue Jul 28 16:48:01 2020 index: 0
Tue Jul 28 16:48:01 2020 score: 0.7220338983050848
Tue Jul 28 16:48:01 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:48:01 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 16:48:01 2020               precision    recall  f1-score   support

 concurrency       0.59      0.87      0.70        23
      memory       0.74      0.63      0.68        27
    semantic       0.65      0.46      0.54        24

    accuracy                           0.65        74
   macro avg       0.66      0.65      0.64        74
weighted avg       0.66      0.65      0.64        74

Tue Jul 28 16:48:01 2020 at classifier: LSVC
Tue Jul 28 16:48:22 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 16:48:22 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:48:22 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:48:22 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:48:22 2020 Best:
Tue Jul 28 16:48:22 2020 index: 3
Tue Jul 28 16:48:22 2020 score: 0.7118644067796611
Tue Jul 28 16:48:22 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:48:22 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 16:48:22 2020               precision    recall  f1-score   support

 concurrency       0.68      0.83      0.75        23
      memory       0.89      0.63      0.74        27
    semantic       0.67      0.75      0.71        24

    accuracy                           0.73        74
   macro avg       0.75      0.74      0.73        74
weighted avg       0.75      0.73      0.73        74

Tue Jul 28 16:48:22 2020 at classifier: SGDC
Tue Jul 28 16:48:43 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 16:48:43 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 16:48:43 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:48:43 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:48:43 2020 Best:
Tue Jul 28 16:48:43 2020 index: 3
Tue Jul 28 16:48:43 2020 score: 0.7186440677966102
Tue Jul 28 16:48:43 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:48:43 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:48:44 2020               precision    recall  f1-score   support

 concurrency       0.61      0.83      0.70        23
      memory       0.94      0.63      0.76        27
    semantic       0.68      0.71      0.69        24

    accuracy                           0.72        74
   macro avg       0.75      0.72      0.72        74
weighted avg       0.76      0.72      0.72        74

Tue Jul 28 16:48:44 2020 at classifier: RFC
Tue Jul 28 16:49:10 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.09
Tue Jul 28 16:49:10 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.06
Tue Jul 28 16:49:10 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.09
Tue Jul 28 16:49:10 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.06
Tue Jul 28 16:49:10 2020 Best:
Tue Jul 28 16:49:10 2020 index: 2
Tue Jul 28 16:49:10 2020 score: 0.6406779661016949
Tue Jul 28 16:49:10 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:49:10 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 16:49:10 2020               precision    recall  f1-score   support

 concurrency       0.65      0.74      0.69        23
      memory       1.00      0.59      0.74        27
    semantic       0.66      0.88      0.75        24

    accuracy                           0.73        74
   macro avg       0.77      0.74      0.73        74
weighted avg       0.78      0.73      0.73        74

Tue Jul 28 16:49:10 2020 at classifier: LRC
Tue Jul 28 16:52:55 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:52:55 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:52:55 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:52:55 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 16:52:55 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:52:55 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:52:55 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:52:55 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 16:52:55 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:52:55 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:52:55 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:52:55 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:52:55 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 16:52:55 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:52:55 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:52:55 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:52:55 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:52:55 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:52:55 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:52:55 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 16:52:55 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:52:55 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:52:55 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:52:55 2020 Best:
Tue Jul 28 16:52:55 2020 index: 14
Tue Jul 28 16:52:55 2020 score: 0.7254237288135593
Tue Jul 28 16:52:55 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:52:55 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 16:52:55 2020               precision    recall  f1-score   support

 concurrency       0.66      0.83      0.73        23
      memory       0.89      0.63      0.74        27
    semantic       0.69      0.75      0.72        24

    accuracy                           0.73        74
   macro avg       0.75      0.74      0.73        74
weighted avg       0.75      0.73      0.73        74

Tue Jul 28 16:52:55 2020 at iteration: 43
Tue Jul 28 16:52:55 2020 n_samples: 369
Tue Jul 28 16:52:55 2020 at classifier: MNB
Tue Jul 28 16:53:44 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 16:53:44 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:53:44 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:53:44 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 16:53:44 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 16:53:44 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 16:53:44 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:53:44 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:53:44 2020 Best:
Tue Jul 28 16:53:44 2020 index: 1
Tue Jul 28 16:53:44 2020 score: 0.7118644067796611
Tue Jul 28 16:53:44 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:53:44 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 16:53:44 2020               precision    recall  f1-score   support

 concurrency       0.88      0.72      0.79        29
      memory       0.77      0.74      0.75        27
    semantic       0.58      0.78      0.67        18

    accuracy                           0.74        74
   macro avg       0.74      0.75      0.74        74
weighted avg       0.77      0.74      0.75        74

Tue Jul 28 16:53:44 2020 at classifier: LSVC
Tue Jul 28 16:54:08 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:54:08 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 16:54:08 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:54:08 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 16:54:08 2020 Best:
Tue Jul 28 16:54:08 2020 index: 0
Tue Jul 28 16:54:08 2020 score: 0.7220338983050847
Tue Jul 28 16:54:08 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:54:08 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 16:54:08 2020               precision    recall  f1-score   support

 concurrency       0.91      0.69      0.78        29
      memory       0.75      0.67      0.71        27
    semantic       0.50      0.78      0.61        18

    accuracy                           0.70        74
   macro avg       0.72      0.71      0.70        74
weighted avg       0.75      0.70      0.71        74

Tue Jul 28 16:54:08 2020 at classifier: SGDC
Tue Jul 28 16:54:32 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 16:54:32 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 16:54:32 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 16:54:32 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 16:54:32 2020 Best:
Tue Jul 28 16:54:32 2020 index: 2
Tue Jul 28 16:54:32 2020 score: 0.7152542372881355
Tue Jul 28 16:54:32 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:54:32 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 16:54:32 2020               precision    recall  f1-score   support

 concurrency       0.82      0.62      0.71        29
      memory       0.77      0.63      0.69        27
    semantic       0.47      0.78      0.58        18

    accuracy                           0.66        74
   macro avg       0.69      0.68      0.66        74
weighted avg       0.72      0.66      0.67        74

Tue Jul 28 16:54:32 2020 at classifier: RFC
Tue Jul 28 16:55:02 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 16:55:02 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.50; std - 0.04
Tue Jul 28 16:55:02 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 16:55:02 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.49; std - 0.05
Tue Jul 28 16:55:02 2020 Best:
Tue Jul 28 16:55:02 2020 index: 2
Tue Jul 28 16:55:02 2020 score: 0.5694915254237287
Tue Jul 28 16:55:02 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:55:02 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 16:55:02 2020               precision    recall  f1-score   support

 concurrency       0.88      0.24      0.38        29
      memory       0.75      0.22      0.34        27
    semantic       0.29      0.94      0.45        18

    accuracy                           0.41        74
   macro avg       0.64      0.47      0.39        74
weighted avg       0.69      0.41      0.38        74

Tue Jul 28 16:55:02 2020 at classifier: LRC
Tue Jul 28 16:59:27 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:59:27 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:59:27 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:59:27 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 16:59:27 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:59:27 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:59:27 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:59:27 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 16:59:27 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 16:59:27 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 16:59:27 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 16:59:27 2020 Best:
Tue Jul 28 16:59:27 2020 index: 11
Tue Jul 28 16:59:27 2020 score: 0.7186440677966102
Tue Jul 28 16:59:27 2020 params: {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 16:59:27 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='newton-cg'))])
Tue Jul 28 16:59:28 2020               precision    recall  f1-score   support

 concurrency       0.90      0.62      0.73        29
      memory       0.73      0.70      0.72        27
    semantic       0.46      0.72      0.57        18

    accuracy                           0.68        74
   macro avg       0.70      0.68      0.67        74
weighted avg       0.73      0.68      0.69        74

Tue Jul 28 16:59:28 2020 at iteration: 44
Tue Jul 28 16:59:28 2020 n_samples: 369
Tue Jul 28 16:59:28 2020 at classifier: MNB
Tue Jul 28 17:00:10 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:00:10 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:00:10 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:00:10 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:00:10 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:00:10 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 17:00:10 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:00:10 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:00:10 2020 Best:
Tue Jul 28 17:00:10 2020 index: 2
Tue Jul 28 17:00:10 2020 score: 0.6915254237288135
Tue Jul 28 17:00:10 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:00:10 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 17:00:10 2020               precision    recall  f1-score   support

 concurrency       0.78      0.84      0.81        25
      memory       0.65      0.77      0.71        22
    semantic       0.81      0.63      0.71        27

    accuracy                           0.74        74
   macro avg       0.75      0.75      0.74        74
weighted avg       0.75      0.74      0.74        74

Tue Jul 28 17:00:10 2020 at classifier: LSVC
Tue Jul 28 17:00:32 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:00:32 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:00:32 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:00:32 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 17:00:32 2020 Best:
Tue Jul 28 17:00:32 2020 index: 1
Tue Jul 28 17:00:32 2020 score: 0.7220338983050848
Tue Jul 28 17:00:32 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:00:32 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:00:33 2020               precision    recall  f1-score   support

 concurrency       0.75      0.72      0.73        25
      memory       0.70      0.64      0.67        22
    semantic       0.70      0.78      0.74        27

    accuracy                           0.72        74
   macro avg       0.72      0.71      0.71        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 17:00:33 2020 at classifier: SGDC
Tue Jul 28 17:00:54 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.06
Tue Jul 28 17:00:54 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 17:00:54 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 17:00:54 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:00:54 2020 Best:
Tue Jul 28 17:00:54 2020 index: 2
Tue Jul 28 17:00:54 2020 score: 0.7050847457627119
Tue Jul 28 17:00:54 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:00:54 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:00:54 2020               precision    recall  f1-score   support

 concurrency       0.68      0.76      0.72        25
      memory       0.78      0.64      0.70        22
    semantic       0.79      0.81      0.80        27

    accuracy                           0.74        74
   macro avg       0.75      0.74      0.74        74
weighted avg       0.75      0.74      0.74        74

Tue Jul 28 17:00:54 2020 at classifier: RFC
Tue Jul 28 17:01:22 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 17:01:22 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 17:01:22 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.04
Tue Jul 28 17:01:22 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.05
Tue Jul 28 17:01:22 2020 Best:
Tue Jul 28 17:01:22 2020 index: 0
Tue Jul 28 17:01:22 2020 score: 0.6508474576271186
Tue Jul 28 17:01:22 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:01:22 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 17:01:22 2020               precision    recall  f1-score   support

 concurrency       0.84      0.64      0.73        25
      memory       0.85      0.77      0.81        22
    semantic       0.66      0.85      0.74        27

    accuracy                           0.76        74
   macro avg       0.78      0.75      0.76        74
weighted avg       0.78      0.76      0.76        74

Tue Jul 28 17:01:22 2020 at classifier: LRC
Tue Jul 28 17:05:24 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:05:24 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:05:24 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 17:05:24 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:05:24 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:05:24 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 17:05:24 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:05:24 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:05:24 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 17:05:24 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:05:24 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:05:24 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:05:24 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:05:24 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:05:24 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:05:24 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:05:24 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:05:24 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:05:24 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:05:24 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:05:24 2020 Best:
Tue Jul 28 17:05:24 2020 index: 4
Tue Jul 28 17:05:24 2020 score: 0.7050847457627119
Tue Jul 28 17:05:24 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:05:24 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 17:05:24 2020               precision    recall  f1-score   support

 concurrency       0.72      0.72      0.72        25
      memory       0.78      0.64      0.70        22
    semantic       0.71      0.81      0.76        27

    accuracy                           0.73        74
   macro avg       0.74      0.72      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 17:05:24 2020 at iteration: 45
Tue Jul 28 17:05:24 2020 n_samples: 369
Tue Jul 28 17:05:24 2020 at classifier: MNB
Tue Jul 28 17:06:11 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:06:11 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 17:06:11 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:06:11 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:06:11 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 17:06:11 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:06:11 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 17:06:11 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:06:11 2020 Best:
Tue Jul 28 17:06:11 2020 index: 7
Tue Jul 28 17:06:11 2020 score: 0.7186440677966102
Tue Jul 28 17:06:11 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:06:11 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 17:06:12 2020               precision    recall  f1-score   support

 concurrency       0.63      0.63      0.63        27
      memory       0.75      0.78      0.77        23
    semantic       0.70      0.67      0.68        24

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 17:06:12 2020 at classifier: LSVC
Tue Jul 28 17:06:36 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:06:36 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:06:36 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:06:36 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:06:36 2020 Best:
Tue Jul 28 17:06:36 2020 index: 1
Tue Jul 28 17:06:36 2020 score: 0.7220338983050848
Tue Jul 28 17:06:36 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:06:36 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:06:37 2020               precision    recall  f1-score   support

 concurrency       0.62      0.56      0.59        27
      memory       0.76      0.70      0.73        23
    semantic       0.66      0.79      0.72        24

    accuracy                           0.68        74
   macro avg       0.68      0.68      0.68        74
weighted avg       0.68      0.68      0.67        74

Tue Jul 28 17:06:37 2020 at classifier: SGDC
Tue Jul 28 17:07:01 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 17:07:01 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.03
Tue Jul 28 17:07:01 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:07:01 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:07:01 2020 Best:
Tue Jul 28 17:07:01 2020 index: 3
Tue Jul 28 17:07:01 2020 score: 0.7254237288135593
Tue Jul 28 17:07:01 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:07:01 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:07:01 2020               precision    recall  f1-score   support

 concurrency       0.56      0.56      0.56        27
      memory       0.76      0.70      0.73        23
    semantic       0.65      0.71      0.68        24

    accuracy                           0.65        74
   macro avg       0.66      0.65      0.65        74
weighted avg       0.65      0.65      0.65        74

Tue Jul 28 17:07:01 2020 at classifier: RFC
Tue Jul 28 17:07:30 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.02
Tue Jul 28 17:07:30 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.07
Tue Jul 28 17:07:30 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 17:07:30 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 17:07:30 2020 Best:
Tue Jul 28 17:07:30 2020 index: 2
Tue Jul 28 17:07:30 2020 score: 0.6508474576271187
Tue Jul 28 17:07:30 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:07:30 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 17:07:30 2020               precision    recall  f1-score   support

 concurrency       0.62      0.48      0.54        27
      memory       0.81      0.57      0.67        23
    semantic       0.51      0.79      0.62        24

    accuracy                           0.61        74
   macro avg       0.65      0.61      0.61        74
weighted avg       0.64      0.61      0.61        74

Tue Jul 28 17:07:30 2020 at classifier: LRC
Tue Jul 28 17:11:49 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:11:49 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:11:49 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 17:11:49 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:11:49 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:11:49 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:11:49 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:11:49 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:11:49 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 17:11:49 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:11:49 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:11:49 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:11:49 2020 Best:
Tue Jul 28 17:11:49 2020 index: 26
Tue Jul 28 17:11:49 2020 score: 0.7118644067796611
Tue Jul 28 17:11:49 2020 params: {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:11:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='sag'))])
Tue Jul 28 17:11:50 2020               precision    recall  f1-score   support

 concurrency       0.61      0.52      0.56        27
      memory       0.71      0.65      0.68        23
    semantic       0.63      0.79      0.70        24

    accuracy                           0.65        74
   macro avg       0.65      0.65      0.65        74
weighted avg       0.65      0.65      0.64        74

Tue Jul 28 17:11:50 2020 at iteration: 46
Tue Jul 28 17:11:50 2020 n_samples: 369
Tue Jul 28 17:11:50 2020 at classifier: MNB
Tue Jul 28 17:12:35 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:12:35 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:12:35 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:12:35 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:12:35 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 17:12:35 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:12:35 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:12:35 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:12:35 2020 Best:
Tue Jul 28 17:12:35 2020 index: 0
Tue Jul 28 17:12:35 2020 score: 0.6915254237288135
Tue Jul 28 17:12:35 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:12:35 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 17:12:35 2020               precision    recall  f1-score   support

 concurrency       0.62      0.80      0.70        20
      memory       0.63      0.79      0.70        24
    semantic       0.83      0.50      0.62        30

    accuracy                           0.68        74
   macro avg       0.69      0.70      0.67        74
weighted avg       0.71      0.68      0.67        74

Tue Jul 28 17:12:35 2020 at classifier: LSVC
Tue Jul 28 17:12:58 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:12:58 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:12:58 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:12:58 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:12:58 2020 Best:
Tue Jul 28 17:12:58 2020 index: 0
Tue Jul 28 17:12:58 2020 score: 0.7186440677966102
Tue Jul 28 17:12:58 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:12:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:12:58 2020               precision    recall  f1-score   support

 concurrency       0.67      0.70      0.68        20
      memory       0.64      0.67      0.65        24
    semantic       0.68      0.63      0.66        30

    accuracy                           0.66        74
   macro avg       0.66      0.67      0.66        74
weighted avg       0.66      0.66      0.66        74

Tue Jul 28 17:12:58 2020 at classifier: SGDC
Tue Jul 28 17:13:21 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.07
Tue Jul 28 17:13:21 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.05
Tue Jul 28 17:13:21 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 17:13:21 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:13:21 2020 Best:
Tue Jul 28 17:13:21 2020 index: 2
Tue Jul 28 17:13:21 2020 score: 0.7152542372881356
Tue Jul 28 17:13:21 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:13:21 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:13:21 2020               precision    recall  f1-score   support

 concurrency       0.60      0.75      0.67        20
      memory       0.65      0.62      0.64        24
    semantic       0.73      0.63      0.68        30

    accuracy                           0.66        74
   macro avg       0.66      0.67      0.66        74
weighted avg       0.67      0.66      0.66        74

Tue Jul 28 17:13:21 2020 at classifier: RFC
Tue Jul 28 17:13:49 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 17:13:49 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.08
Tue Jul 28 17:13:49 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:13:49 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.08
Tue Jul 28 17:13:49 2020 Best:
Tue Jul 28 17:13:49 2020 index: 2
Tue Jul 28 17:13:49 2020 score: 0.688135593220339
Tue Jul 28 17:13:49 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:13:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 17:13:50 2020               precision    recall  f1-score   support

 concurrency       0.60      0.60      0.60        20
      memory       0.68      0.54      0.60        24
    semantic       0.54      0.63      0.58        30

    accuracy                           0.59        74
   macro avg       0.61      0.59      0.60        74
weighted avg       0.60      0.59      0.60        74

Tue Jul 28 17:13:50 2020 at classifier: LRC
Tue Jul 28 17:18:06 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 17:18:06 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:06 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 17:18:06 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:06 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:18:06 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:18:06 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 17:18:06 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:06 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 17:18:06 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:06 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:06 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:06 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:18:06 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 17:18:06 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:18:06 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 17:18:06 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:06 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:18:06 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:18:06 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:18:06 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:18:06 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:18:06 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:18:06 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.09
Tue Jul 28 17:18:06 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:18:06 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:18:06 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:18:06 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:18:06 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:18:06 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:18:06 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:18:06 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:06 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.09
Tue Jul 28 17:18:06 2020 Best:
Tue Jul 28 17:18:06 2020 index: 9
Tue Jul 28 17:18:06 2020 score: 0.7220338983050848
Tue Jul 28 17:18:06 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:18:06 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 17:18:06 2020               precision    recall  f1-score   support

 concurrency       0.64      0.70      0.67        20
      memory       0.63      0.71      0.67        24
    semantic       0.72      0.60      0.65        30

    accuracy                           0.66        74
   macro avg       0.66      0.67      0.66        74
weighted avg       0.67      0.66      0.66        74

Tue Jul 28 17:18:07 2020 at iteration: 47
Tue Jul 28 17:18:07 2020 n_samples: 369
Tue Jul 28 17:18:07 2020 at classifier: MNB
Tue Jul 28 17:18:54 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:54 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 17:18:54 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:18:54 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:18:54 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 17:18:54 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 17:18:54 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:18:54 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 17:18:54 2020 Best:
Tue Jul 28 17:18:54 2020 index: 1
Tue Jul 28 17:18:54 2020 score: 0.7254237288135593
Tue Jul 28 17:18:54 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:18:54 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 17:18:54 2020               precision    recall  f1-score   support

 concurrency       0.77      0.59      0.67        29
      memory       0.89      0.63      0.74        27
    semantic       0.42      0.78      0.55        18

    accuracy                           0.65        74
   macro avg       0.70      0.66      0.65        74
weighted avg       0.73      0.65      0.66        74

Tue Jul 28 17:18:54 2020 at classifier: LSVC
Tue Jul 28 17:19:19 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:19:19 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:19:19 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:19:19 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:19:19 2020 Best:
Tue Jul 28 17:19:19 2020 index: 1
Tue Jul 28 17:19:19 2020 score: 0.7118644067796609
Tue Jul 28 17:19:19 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:19:19 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:19:20 2020               precision    recall  f1-score   support

 concurrency       0.73      0.76      0.75        29
      memory       0.84      0.59      0.70        27
    semantic       0.56      0.78      0.65        18

    accuracy                           0.70        74
   macro avg       0.71      0.71      0.70        74
weighted avg       0.73      0.70      0.70        74

Tue Jul 28 17:19:20 2020 at classifier: SGDC
Tue Jul 28 17:19:44 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.08
Tue Jul 28 17:19:44 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.09
Tue Jul 28 17:19:44 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:19:44 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:19:44 2020 Best:
Tue Jul 28 17:19:44 2020 index: 3
Tue Jul 28 17:19:44 2020 score: 0.7118644067796609
Tue Jul 28 17:19:44 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:19:44 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:19:45 2020               precision    recall  f1-score   support

 concurrency       0.68      0.59      0.63        29
      memory       0.84      0.59      0.70        27
    semantic       0.47      0.78      0.58        18

    accuracy                           0.64        74
   macro avg       0.66      0.65      0.64        74
weighted avg       0.69      0.64      0.64        74

Tue Jul 28 17:19:45 2020 at classifier: RFC
Tue Jul 28 17:20:14 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 17:20:14 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.49; std - 0.05
Tue Jul 28 17:20:14 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 17:20:14 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.49; std - 0.03
Tue Jul 28 17:20:14 2020 Best:
Tue Jul 28 17:20:14 2020 index: 0
Tue Jul 28 17:20:14 2020 score: 0.5728813559322035
Tue Jul 28 17:20:14 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:20:14 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 17:20:14 2020               precision    recall  f1-score   support

 concurrency       0.85      0.38      0.52        29
      memory       1.00      0.48      0.65        27
    semantic       0.33      0.89      0.48        18

    accuracy                           0.54        74
   macro avg       0.73      0.58      0.55        74
weighted avg       0.78      0.54      0.56        74

Tue Jul 28 17:20:14 2020 at classifier: LRC
Tue Jul 28 17:24:39 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 17:24:39 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 17:24:39 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 17:24:39 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 17:24:39 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 17:24:39 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 17:24:39 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 17:24:39 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:24:39 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:24:39 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 17:24:39 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 17:24:39 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 17:24:39 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 17:24:39 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 17:24:39 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:24:39 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:24:39 2020 Best:
Tue Jul 28 17:24:39 2020 index: 28
Tue Jul 28 17:24:39 2020 score: 0.7050847457627117
Tue Jul 28 17:24:39 2020 params: {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:24:39 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='saga'))])
Tue Jul 28 17:24:40 2020               precision    recall  f1-score   support

 concurrency       0.72      0.72      0.72        29
      memory       0.79      0.56      0.65        27
    semantic       0.50      0.72      0.59        18

    accuracy                           0.66        74
   macro avg       0.67      0.67      0.66        74
weighted avg       0.69      0.66      0.67        74

Tue Jul 28 17:24:40 2020 at iteration: 48
Tue Jul 28 17:24:40 2020 n_samples: 369
Tue Jul 28 17:24:40 2020 at classifier: MNB
Tue Jul 28 17:25:28 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:25:28 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:25:28 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:25:28 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:25:28 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 17:25:28 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:25:28 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:25:28 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:25:28 2020 Best:
Tue Jul 28 17:25:28 2020 index: 1
Tue Jul 28 17:25:28 2020 score: 0.7220338983050848
Tue Jul 28 17:25:28 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:25:28 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 17:25:28 2020               precision    recall  f1-score   support

 concurrency       0.57      0.84      0.68        19
      memory       0.79      0.66      0.72        29
    semantic       0.68      0.58      0.62        26

    accuracy                           0.68        74
   macro avg       0.68      0.69      0.67        74
weighted avg       0.70      0.68      0.68        74

Tue Jul 28 17:25:28 2020 at classifier: LSVC
Tue Jul 28 17:25:52 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 17:25:52 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:25:52 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:25:52 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:25:52 2020 Best:
Tue Jul 28 17:25:52 2020 index: 0
Tue Jul 28 17:25:52 2020 score: 0.7322033898305085
Tue Jul 28 17:25:52 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:25:52 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:25:52 2020               precision    recall  f1-score   support

 concurrency       0.65      0.58      0.61        19
      memory       0.85      0.59      0.69        29
    semantic       0.62      0.88      0.73        26

    accuracy                           0.69        74
   macro avg       0.71      0.68      0.68        74
weighted avg       0.72      0.69      0.69        74

Tue Jul 28 17:25:52 2020 at classifier: SGDC
Tue Jul 28 17:26:16 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 17:26:16 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.04
Tue Jul 28 17:26:16 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:26:16 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:26:16 2020 Best:
Tue Jul 28 17:26:16 2020 index: 2
Tue Jul 28 17:26:16 2020 score: 0.7016949152542373
Tue Jul 28 17:26:16 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:26:16 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:26:16 2020               precision    recall  f1-score   support

 concurrency       0.67      0.63      0.65        19
      memory       0.90      0.66      0.76        29
    semantic       0.63      0.85      0.72        26

    accuracy                           0.72        74
   macro avg       0.73      0.71      0.71        74
weighted avg       0.75      0.72      0.72        74

Tue Jul 28 17:26:16 2020 at classifier: RFC
Tue Jul 28 17:26:45 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.03
Tue Jul 28 17:26:45 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 17:26:45 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 17:26:45 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.04
Tue Jul 28 17:26:45 2020 Best:
Tue Jul 28 17:26:45 2020 index: 0
Tue Jul 28 17:26:45 2020 score: 0.6406779661016949
Tue Jul 28 17:26:45 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:26:45 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 17:26:45 2020               precision    recall  f1-score   support

 concurrency       0.53      0.47      0.50        19
      memory       1.00      0.38      0.55        29
    semantic       0.52      0.92      0.67        26

    accuracy                           0.59        74
   macro avg       0.68      0.59      0.57        74
weighted avg       0.71      0.59      0.58        74

Tue Jul 28 17:26:45 2020 at classifier: LRC
Tue Jul 28 17:31:14 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:31:14 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:31:14 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:31:14 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:14 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:31:14 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:31:14 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:31:14 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:31:14 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:31:14 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:31:14 2020 Best:
Tue Jul 28 17:31:14 2020 index: 24
Tue Jul 28 17:31:14 2020 score: 0.7220338983050847
Tue Jul 28 17:31:14 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:31:14 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 17:31:14 2020               precision    recall  f1-score   support

 concurrency       0.62      0.53      0.57        19
      memory       0.81      0.59      0.68        29
    semantic       0.62      0.88      0.73        26

    accuracy                           0.68        74
   macro avg       0.69      0.67      0.66        74
weighted avg       0.70      0.68      0.67        74

Tue Jul 28 17:31:14 2020 at iteration: 49
Tue Jul 28 17:31:14 2020 n_samples: 369
Tue Jul 28 17:31:14 2020 at classifier: MNB
Tue Jul 28 17:31:55 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:31:55 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 17:31:55 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:55 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:31:55 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:31:55 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 17:31:55 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 17:31:55 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:31:55 2020 Best:
Tue Jul 28 17:31:55 2020 index: 3
Tue Jul 28 17:31:55 2020 score: 0.71864406779661
Tue Jul 28 17:31:55 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:31:55 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 17:31:56 2020               precision    recall  f1-score   support

 concurrency       0.79      0.71      0.75        31
      memory       0.80      0.80      0.80        25
    semantic       0.57      0.67      0.62        18

    accuracy                           0.73        74
   macro avg       0.72      0.73      0.72        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 17:31:56 2020 at classifier: LSVC
Tue Jul 28 17:32:17 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:32:17 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:32:17 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:32:17 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:32:17 2020 Best:
Tue Jul 28 17:32:17 2020 index: 0
Tue Jul 28 17:32:17 2020 score: 0.7050847457627119
Tue Jul 28 17:32:17 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:32:17 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:32:17 2020               precision    recall  f1-score   support

 concurrency       0.81      0.68      0.74        31
      memory       0.95      0.76      0.84        25
    semantic       0.54      0.83      0.65        18

    accuracy                           0.74        74
   macro avg       0.76      0.76      0.74        74
weighted avg       0.79      0.74      0.75        74

Tue Jul 28 17:32:17 2020 at classifier: SGDC
Tue Jul 28 17:32:38 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 17:32:38 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.06
Tue Jul 28 17:32:38 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:32:38 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:32:38 2020 Best:
Tue Jul 28 17:32:38 2020 index: 3
Tue Jul 28 17:32:38 2020 score: 0.7050847457627119
Tue Jul 28 17:32:38 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:32:38 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:32:39 2020               precision    recall  f1-score   support

 concurrency       0.76      0.61      0.68        31
      memory       0.91      0.80      0.85        25
    semantic       0.48      0.72      0.58        18

    accuracy                           0.70        74
   macro avg       0.72      0.71      0.70        74
weighted avg       0.74      0.70      0.71        74

Tue Jul 28 17:32:39 2020 at classifier: RFC
Tue Jul 28 17:33:05 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.04
Tue Jul 28 17:33:05 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.03
Tue Jul 28 17:33:05 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 17:33:05 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.03
Tue Jul 28 17:33:05 2020 Best:
Tue Jul 28 17:33:05 2020 index: 2
Tue Jul 28 17:33:05 2020 score: 0.5694915254237289
Tue Jul 28 17:33:05 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:33:05 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 17:33:06 2020               precision    recall  f1-score   support

 concurrency       1.00      0.42      0.59        31
      memory       1.00      0.56      0.72        25
    semantic       0.38      1.00      0.55        18

    accuracy                           0.61        74
   macro avg       0.79      0.66      0.62        74
weighted avg       0.85      0.61      0.62        74

Tue Jul 28 17:33:06 2020 at classifier: LRC
Tue Jul 28 17:36:56 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:36:56 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:36:56 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:36:56 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:36:56 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:36:56 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:36:56 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:36:56 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:36:56 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:36:56 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:36:56 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:36:56 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 17:36:56 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:36:56 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:36:56 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:36:56 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 17:36:56 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:36:56 2020 Best:
Tue Jul 28 17:36:56 2020 index: 1
Tue Jul 28 17:36:56 2020 score: 0.7050847457627119
Tue Jul 28 17:36:56 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:36:56 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 17:36:57 2020               precision    recall  f1-score   support

 concurrency       0.74      0.55      0.63        31
      memory       0.82      0.72      0.77        25
    semantic       0.48      0.78      0.60        18

    accuracy                           0.66        74
   macro avg       0.68      0.68      0.66        74
weighted avg       0.70      0.66      0.67        74

Tue Jul 28 17:36:57 2020 at iteration: 50
Tue Jul 28 17:36:57 2020 n_samples: 369
Tue Jul 28 17:36:57 2020 at classifier: MNB
Tue Jul 28 17:37:44 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 17:37:44 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:37:44 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:37:44 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:37:44 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:37:44 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:37:44 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:37:44 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:37:44 2020 Best:
Tue Jul 28 17:37:44 2020 index: 1
Tue Jul 28 17:37:44 2020 score: 0.7050847457627117
Tue Jul 28 17:37:44 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:37:44 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 17:37:44 2020               precision    recall  f1-score   support

 concurrency       0.82      0.56      0.67        32
      memory       0.89      0.64      0.74        25
    semantic       0.41      0.82      0.55        17

    accuracy                           0.65        74
   macro avg       0.71      0.68      0.65        74
weighted avg       0.75      0.65      0.67        74

Tue Jul 28 17:37:44 2020 at classifier: LSVC
Tue Jul 28 17:38:09 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:38:09 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:38:09 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 17:38:09 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 17:38:09 2020 Best:
Tue Jul 28 17:38:09 2020 index: 3
Tue Jul 28 17:38:09 2020 score: 0.728813559322034
Tue Jul 28 17:38:09 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:38:09 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 17:38:09 2020               precision    recall  f1-score   support

 concurrency       0.88      0.66      0.75        32
      memory       0.86      0.48      0.62        25
    semantic       0.44      0.94      0.60        17

    accuracy                           0.66        74
   macro avg       0.73      0.69      0.66        74
weighted avg       0.77      0.66      0.67        74

Tue Jul 28 17:38:09 2020 at classifier: SGDC
Tue Jul 28 17:38:34 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.03
Tue Jul 28 17:38:34 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 17:38:34 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:38:34 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:38:34 2020 Best:
Tue Jul 28 17:38:34 2020 index: 3
Tue Jul 28 17:38:34 2020 score: 0.7186440677966102
Tue Jul 28 17:38:34 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:38:34 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:38:34 2020               precision    recall  f1-score   support

 concurrency       0.83      0.59      0.69        32
      memory       1.00      0.44      0.61        25
    semantic       0.40      0.94      0.56        17

    accuracy                           0.62        74
   macro avg       0.74      0.66      0.62        74
weighted avg       0.79      0.62      0.63        74

Tue Jul 28 17:38:34 2020 at classifier: RFC
Tue Jul 28 17:39:04 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.08
Tue Jul 28 17:39:04 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.07
Tue Jul 28 17:39:04 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.07
Tue Jul 28 17:39:04 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.08
Tue Jul 28 17:39:04 2020 Best:
Tue Jul 28 17:39:04 2020 index: 2
Tue Jul 28 17:39:04 2020 score: 0.6101694915254237
Tue Jul 28 17:39:04 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:39:04 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 17:39:04 2020               precision    recall  f1-score   support

 concurrency       0.91      0.31      0.47        32
      memory       1.00      0.32      0.48        25
    semantic       0.31      1.00      0.47        17

    accuracy                           0.47        74
   macro avg       0.74      0.54      0.47        74
weighted avg       0.80      0.47      0.47        74

Tue Jul 28 17:39:04 2020 at classifier: LRC
Tue Jul 28 17:43:28 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:43:28 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 17:43:28 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:43:28 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:43:28 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:43:28 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 17:43:28 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:43:28 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 17:43:28 2020 Best:
Tue Jul 28 17:43:28 2020 index: 21
Tue Jul 28 17:43:28 2020 score: 0.7322033898305084
Tue Jul 28 17:43:28 2020 params: {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:43:28 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='newton-cg'))])
Tue Jul 28 17:43:29 2020               precision    recall  f1-score   support

 concurrency       0.87      0.62      0.73        32
      memory       0.81      0.52      0.63        25
    semantic       0.43      0.88      0.58        17

    accuracy                           0.65        74
   macro avg       0.70      0.68      0.65        74
weighted avg       0.75      0.65      0.66        74

Tue Jul 28 17:43:29 2020 at iteration: 51
Tue Jul 28 17:43:29 2020 n_samples: 369
Tue Jul 28 17:43:29 2020 at classifier: MNB
Tue Jul 28 17:44:15 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:44:15 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:44:15 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:44:15 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:44:15 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:44:15 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:44:15 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 17:44:15 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:44:15 2020 Best:
Tue Jul 28 17:44:15 2020 index: 5
Tue Jul 28 17:44:15 2020 score: 0.7016949152542373
Tue Jul 28 17:44:15 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:44:15 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 17:44:15 2020               precision    recall  f1-score   support

 concurrency       0.71      0.55      0.62        31
      memory       0.54      0.67      0.60        21
    semantic       0.75      0.82      0.78        22

    accuracy                           0.66        74
   macro avg       0.67      0.68      0.67        74
weighted avg       0.67      0.66      0.66        74

Tue Jul 28 17:44:15 2020 at classifier: LSVC
Tue Jul 28 17:44:39 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 17:44:39 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 17:44:39 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:44:39 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:44:39 2020 Best:
Tue Jul 28 17:44:39 2020 index: 0
Tue Jul 28 17:44:39 2020 score: 0.7152542372881355
Tue Jul 28 17:44:39 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:44:39 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:44:39 2020               precision    recall  f1-score   support

 concurrency       0.76      0.61      0.68        31
      memory       0.75      0.57      0.65        21
    semantic       0.61      0.91      0.73        22

    accuracy                           0.69        74
   macro avg       0.71      0.70      0.68        74
weighted avg       0.71      0.69      0.68        74

Tue Jul 28 17:44:39 2020 at classifier: SGDC
Tue Jul 28 17:45:02 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 17:45:02 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.04
Tue Jul 28 17:45:02 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 17:45:02 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 17:45:02 2020 Best:
Tue Jul 28 17:45:02 2020 index: 2
Tue Jul 28 17:45:02 2020 score: 0.7050847457627119
Tue Jul 28 17:45:02 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:45:02 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:45:02 2020               precision    recall  f1-score   support

 concurrency       0.74      0.65      0.69        31
      memory       0.71      0.57      0.63        21
    semantic       0.67      0.91      0.77        22

    accuracy                           0.70        74
   macro avg       0.70      0.71      0.70        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 17:45:02 2020 at classifier: RFC
Tue Jul 28 17:45:32 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 17:45:32 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.09
Tue Jul 28 17:45:32 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 17:45:32 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.08
Tue Jul 28 17:45:32 2020 Best:
Tue Jul 28 17:45:32 2020 index: 2
Tue Jul 28 17:45:32 2020 score: 0.6406779661016949
Tue Jul 28 17:45:32 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:45:32 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 17:45:32 2020               precision    recall  f1-score   support

 concurrency       0.80      0.39      0.52        31
      memory       0.80      0.57      0.67        21
    semantic       0.43      0.86      0.58        22

    accuracy                           0.58        74
   macro avg       0.68      0.61      0.59        74
weighted avg       0.69      0.58      0.58        74

Tue Jul 28 17:45:32 2020 at classifier: LRC
Tue Jul 28 17:49:49 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:49:49 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:49:49 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:49:49 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:49:49 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:49:49 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:49:49 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:49:49 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:49:49 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:49:49 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:49:49 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:49:49 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:49:49 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 17:49:49 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 17:49:49 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 17:49:49 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 17:49:49 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.00
Tue Jul 28 17:49:49 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:49:49 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 17:49:49 2020 Best:
Tue Jul 28 17:49:49 2020 index: 4
Tue Jul 28 17:49:49 2020 score: 0.7016949152542372
Tue Jul 28 17:49:49 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:49:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 17:49:49 2020               precision    recall  f1-score   support

 concurrency       0.75      0.58      0.65        31
      memory       0.67      0.57      0.62        21
    semantic       0.59      0.86      0.70        22

    accuracy                           0.66        74
   macro avg       0.67      0.67      0.66        74
weighted avg       0.68      0.66      0.66        74

Tue Jul 28 17:49:49 2020 at iteration: 52
Tue Jul 28 17:49:49 2020 n_samples: 369
Tue Jul 28 17:49:49 2020 at classifier: MNB
Tue Jul 28 17:50:35 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:50:35 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:50:35 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:50:35 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 17:50:35 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 17:50:35 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 17:50:35 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:50:35 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 17:50:35 2020 Best:
Tue Jul 28 17:50:35 2020 index: 3
Tue Jul 28 17:50:35 2020 score: 0.7016949152542372
Tue Jul 28 17:50:35 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:50:35 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 17:50:35 2020               precision    recall  f1-score   support

 concurrency       0.62      0.83      0.71        18
      memory       0.89      0.59      0.71        27
    semantic       0.72      0.79      0.75        29

    accuracy                           0.73        74
   macro avg       0.74      0.74      0.73        74
weighted avg       0.76      0.73      0.73        74

Tue Jul 28 17:50:35 2020 at classifier: LSVC
Tue Jul 28 17:50:59 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 17:50:59 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:50:59 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 17:50:59 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 17:50:59 2020 Best:
Tue Jul 28 17:50:59 2020 index: 1
Tue Jul 28 17:50:59 2020 score: 0.7186440677966102
Tue Jul 28 17:50:59 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:50:59 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:50:59 2020               precision    recall  f1-score   support

 concurrency       0.78      0.78      0.78        18
      memory       0.90      0.70      0.79        27
    semantic       0.71      0.86      0.78        29

    accuracy                           0.78        74
   macro avg       0.80      0.78      0.78        74
weighted avg       0.80      0.78      0.78        74

Tue Jul 28 17:50:59 2020 at classifier: SGDC
Tue Jul 28 17:51:23 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.04
Tue Jul 28 17:51:23 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.05
Tue Jul 28 17:51:23 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 17:51:23 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 17:51:23 2020 Best:
Tue Jul 28 17:51:23 2020 index: 3
Tue Jul 28 17:51:23 2020 score: 0.7322033898305085
Tue Jul 28 17:51:23 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:51:23 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:51:23 2020               precision    recall  f1-score   support

 concurrency       0.64      0.78      0.70        18
      memory       0.95      0.67      0.78        27
    semantic       0.70      0.79      0.74        29

    accuracy                           0.74        74
   macro avg       0.76      0.75      0.74        74
weighted avg       0.77      0.74      0.75        74

Tue Jul 28 17:51:23 2020 at classifier: RFC
Tue Jul 28 17:51:51 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 17:51:51 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 17:51:51 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.01
Tue Jul 28 17:51:51 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 17:51:51 2020 Best:
Tue Jul 28 17:51:51 2020 index: 0
Tue Jul 28 17:51:51 2020 score: 0.6745762711864407
Tue Jul 28 17:51:51 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:51:51 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 17:51:51 2020               precision    recall  f1-score   support

 concurrency       0.59      0.56      0.57        18
      memory       0.93      0.52      0.67        27
    semantic       0.62      0.90      0.73        29

    accuracy                           0.68        74
   macro avg       0.71      0.66      0.66        74
weighted avg       0.73      0.68      0.67        74

Tue Jul 28 17:51:51 2020 at classifier: LRC
Tue Jul 28 17:56:01 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:56:01 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:56:01 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:56:01 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:56:01 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:56:01 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:56:01 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:56:01 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 17:56:01 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 17:56:01 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:56:01 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 17:56:01 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 17:56:01 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 17:56:01 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:56:01 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 17:56:01 2020 Best:
Tue Jul 28 17:56:01 2020 index: 35
Tue Jul 28 17:56:01 2020 score: 0.7084745762711865
Tue Jul 28 17:56:01 2020 params: {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:56:01 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42,
                                    solver='liblinear'))])
Tue Jul 28 17:56:01 2020               precision    recall  f1-score   support

 concurrency       0.72      0.72      0.72        18
      memory       0.95      0.70      0.81        27
    semantic       0.69      0.86      0.77        29

    accuracy                           0.77        74
   macro avg       0.79      0.76      0.77        74
weighted avg       0.79      0.77      0.77        74

Tue Jul 28 17:56:01 2020 at iteration: 53
Tue Jul 28 17:56:01 2020 n_samples: 369
Tue Jul 28 17:56:01 2020 at classifier: MNB
Tue Jul 28 17:56:47 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 17:56:47 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.01
Tue Jul 28 17:56:47 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 17:56:47 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 17:56:47 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.02
Tue Jul 28 17:56:47 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 17:56:47 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 17:56:47 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 17:56:47 2020 Best:
Tue Jul 28 17:56:47 2020 index: 2
Tue Jul 28 17:56:47 2020 score: 0.6949152542372881
Tue Jul 28 17:56:47 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:56:47 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 17:56:48 2020               precision    recall  f1-score   support

 concurrency       0.62      0.79      0.70        19
      memory       0.52      0.74      0.61        23
    semantic       0.88      0.47      0.61        32

    accuracy                           0.64        74
   macro avg       0.67      0.67      0.64        74
weighted avg       0.70      0.64      0.63        74

Tue Jul 28 17:56:48 2020 at classifier: LSVC
Tue Jul 28 17:57:12 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:57:12 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 17:57:12 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 17:57:12 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 17:57:12 2020 Best:
Tue Jul 28 17:57:12 2020 index: 1
Tue Jul 28 17:57:12 2020 score: 0.7050847457627119
Tue Jul 28 17:57:12 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:57:12 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 17:57:13 2020               precision    recall  f1-score   support

 concurrency       0.60      0.63      0.62        19
      memory       0.58      0.61      0.60        23
    semantic       0.73      0.69      0.71        32

    accuracy                           0.65        74
   macro avg       0.64      0.64      0.64        74
weighted avg       0.65      0.65      0.65        74

Tue Jul 28 17:57:13 2020 at classifier: SGDC
Tue Jul 28 17:57:36 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.05
Tue Jul 28 17:57:36 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.06
Tue Jul 28 17:57:36 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 17:57:36 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 17:57:36 2020 Best:
Tue Jul 28 17:57:36 2020 index: 2
Tue Jul 28 17:57:36 2020 score: 0.6847457627118644
Tue Jul 28 17:57:36 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:57:36 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 17:57:36 2020               precision    recall  f1-score   support

 concurrency       0.62      0.68      0.65        19
      memory       0.58      0.65      0.61        23
    semantic       0.74      0.62      0.68        32

    accuracy                           0.65        74
   macro avg       0.65      0.65      0.65        74
weighted avg       0.66      0.65      0.65        74

Tue Jul 28 17:57:36 2020 at classifier: RFC
Tue Jul 28 17:58:06 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.09
Tue Jul 28 17:58:06 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.08
Tue Jul 28 17:58:06 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.10
Tue Jul 28 17:58:06 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.09
Tue Jul 28 17:58:06 2020 Best:
Tue Jul 28 17:58:06 2020 index: 2
Tue Jul 28 17:58:06 2020 score: 0.6983050847457627
Tue Jul 28 17:58:06 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 17:58:06 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 17:58:06 2020               precision    recall  f1-score   support

 concurrency       0.83      0.79      0.81        19
      memory       0.60      0.65      0.63        23
    semantic       0.71      0.69      0.70        32

    accuracy                           0.70        74
   macro avg       0.71      0.71      0.71        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 17:58:06 2020 at classifier: LRC
Tue Jul 28 18:02:29 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.09
Tue Jul 28 18:02:29 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.09
Tue Jul 28 18:02:29 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 18:02:29 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.09
Tue Jul 28 18:02:29 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 18:02:29 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 18:02:29 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 18:02:29 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 18:02:29 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 18:02:29 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 18:02:29 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 18:02:29 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 18:02:29 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:02:29 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 18:02:29 2020 Best:
Tue Jul 28 18:02:29 2020 index: 25
Tue Jul 28 18:02:29 2020 score: 0.6915254237288135
Tue Jul 28 18:02:29 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:02:29 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 18:02:30 2020               precision    recall  f1-score   support

 concurrency       0.67      0.63      0.65        19
      memory       0.54      0.61      0.57        23
    semantic       0.70      0.66      0.68        32

    accuracy                           0.64        74
   macro avg       0.64      0.63      0.63        74
weighted avg       0.64      0.64      0.64        74

Tue Jul 28 18:02:30 2020 at iteration: 54
Tue Jul 28 18:02:30 2020 n_samples: 369
Tue Jul 28 18:02:30 2020 at classifier: MNB
Tue Jul 28 18:03:11 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:03:11 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:03:11 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:03:11 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:03:11 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 18:03:11 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:03:11 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.01
Tue Jul 28 18:03:11 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:03:11 2020 Best:
Tue Jul 28 18:03:11 2020 index: 7
Tue Jul 28 18:03:11 2020 score: 0.7118644067796609
Tue Jul 28 18:03:11 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:03:11 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 18:03:11 2020               precision    recall  f1-score   support

 concurrency       0.68      0.76      0.72        25
      memory       0.60      0.75      0.67        20
    semantic       0.81      0.59      0.68        29

    accuracy                           0.69        74
   macro avg       0.70      0.70      0.69        74
weighted avg       0.71      0.69      0.69        74

Tue Jul 28 18:03:11 2020 at classifier: LSVC
Tue Jul 28 18:03:32 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:03:32 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:03:32 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 18:03:32 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:03:32 2020 Best:
Tue Jul 28 18:03:32 2020 index: 1
Tue Jul 28 18:03:32 2020 score: 0.6949152542372881
Tue Jul 28 18:03:32 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:03:32 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:03:33 2020               precision    recall  f1-score   support

 concurrency       0.66      0.76      0.70        25
      memory       0.65      0.55      0.59        20
    semantic       0.71      0.69      0.70        29

    accuracy                           0.68        74
   macro avg       0.67      0.67      0.67        74
weighted avg       0.68      0.68      0.67        74

Tue Jul 28 18:03:33 2020 at classifier: SGDC
Tue Jul 28 18:03:53 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.06
Tue Jul 28 18:03:53 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 18:03:53 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:03:53 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:03:53 2020 Best:
Tue Jul 28 18:03:53 2020 index: 2
Tue Jul 28 18:03:53 2020 score: 0.7016949152542373
Tue Jul 28 18:03:53 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:03:53 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:03:53 2020               precision    recall  f1-score   support

 concurrency       0.66      0.76      0.70        25
      memory       0.67      0.60      0.63        20
    semantic       0.74      0.69      0.71        29

    accuracy                           0.69        74
   macro avg       0.69      0.68      0.68        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 18:03:53 2020 at classifier: RFC
Tue Jul 28 18:04:19 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 18:04:19 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.02
Tue Jul 28 18:04:19 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 18:04:19 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.03
Tue Jul 28 18:04:19 2020 Best:
Tue Jul 28 18:04:19 2020 index: 2
Tue Jul 28 18:04:19 2020 score: 0.6779661016949152
Tue Jul 28 18:04:19 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:04:19 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 18:04:19 2020               precision    recall  f1-score   support

 concurrency       0.78      0.56      0.65        25
      memory       0.62      0.65      0.63        20
    semantic       0.69      0.83      0.75        29

    accuracy                           0.69        74
   macro avg       0.69      0.68      0.68        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 18:04:19 2020 at classifier: LRC
Tue Jul 28 18:08:06 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:08:06 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:08:06 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:08:06 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:08:06 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:08:06 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:08:06 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:08:06 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 18:08:06 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 18:08:06 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 18:08:06 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:08:06 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:08:06 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:08:06 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:08:06 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:08:06 2020 Best:
Tue Jul 28 18:08:06 2020 index: 15
Tue Jul 28 18:08:06 2020 score: 0.6949152542372881
Tue Jul 28 18:08:06 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:08:06 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 18:08:07 2020               precision    recall  f1-score   support

 concurrency       0.69      0.72      0.71        25
      memory       0.65      0.55      0.59        20
    semantic       0.71      0.76      0.73        29

    accuracy                           0.69        74
   macro avg       0.68      0.68      0.68        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 18:08:07 2020 at iteration: 55
Tue Jul 28 18:08:07 2020 n_samples: 369
Tue Jul 28 18:08:07 2020 at classifier: MNB
Tue Jul 28 18:08:52 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:08:52 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 18:08:52 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 18:08:52 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 18:08:52 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:08:52 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 18:08:52 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:08:52 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 18:08:52 2020 Best:
Tue Jul 28 18:08:52 2020 index: 0
Tue Jul 28 18:08:52 2020 score: 0.7220338983050848
Tue Jul 28 18:08:52 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:08:52 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 18:08:52 2020               precision    recall  f1-score   support

 concurrency       0.81      0.71      0.76        24
      memory       0.63      0.83      0.72        23
    semantic       0.74      0.63      0.68        27

    accuracy                           0.72        74
   macro avg       0.73      0.72      0.72        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 18:08:52 2020 at classifier: LSVC
Tue Jul 28 18:09:16 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 18:09:16 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.09
Tue Jul 28 18:09:16 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:09:16 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 18:09:16 2020 Best:
Tue Jul 28 18:09:16 2020 index: 3
Tue Jul 28 18:09:16 2020 score: 0.7322033898305085
Tue Jul 28 18:09:16 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:09:16 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 18:09:17 2020               precision    recall  f1-score   support

 concurrency       0.73      0.67      0.70        24
      memory       0.62      0.65      0.64        23
    semantic       0.71      0.74      0.73        27

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 18:09:17 2020 at classifier: SGDC
Tue Jul 28 18:09:40 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.10
Tue Jul 28 18:09:40 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.09
Tue Jul 28 18:09:40 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 18:09:40 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 18:09:40 2020 Best:
Tue Jul 28 18:09:40 2020 index: 2
Tue Jul 28 18:09:40 2020 score: 0.7118644067796611
Tue Jul 28 18:09:40 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:09:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:09:40 2020               precision    recall  f1-score   support

 concurrency       0.65      0.62      0.64        24
      memory       0.59      0.70      0.64        23
    semantic       0.71      0.63      0.67        27

    accuracy                           0.65        74
   macro avg       0.65      0.65      0.65        74
weighted avg       0.65      0.65      0.65        74

Tue Jul 28 18:09:40 2020 at classifier: RFC
Tue Jul 28 18:10:09 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.08
Tue Jul 28 18:10:09 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.06
Tue Jul 28 18:10:09 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.08
Tue Jul 28 18:10:09 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 18:10:09 2020 Best:
Tue Jul 28 18:10:09 2020 index: 0
Tue Jul 28 18:10:09 2020 score: 0.6677966101694914
Tue Jul 28 18:10:09 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:10:09 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 18:10:09 2020               precision    recall  f1-score   support

 concurrency       0.82      0.58      0.68        24
      memory       0.75      0.65      0.70        23
    semantic       0.59      0.81      0.69        27

    accuracy                           0.69        74
   macro avg       0.72      0.68      0.69        74
weighted avg       0.72      0.69      0.69        74

Tue Jul 28 18:10:09 2020 at classifier: LRC
Tue Jul 28 18:14:24 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:14:24 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 18:14:24 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:14:24 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 18:14:24 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 18:14:24 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 18:14:24 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:14:24 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 18:14:24 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:14:24 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 18:14:24 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 18:14:24 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 18:14:24 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 18:14:24 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:14:24 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.09
Tue Jul 28 18:14:24 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:14:24 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.09
Tue Jul 28 18:14:24 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:14:24 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.09
Tue Jul 28 18:14:24 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.09
Tue Jul 28 18:14:24 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:14:24 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 18:14:24 2020 Best:
Tue Jul 28 18:14:24 2020 index: 31
Tue Jul 28 18:14:24 2020 score: 0.728813559322034
Tue Jul 28 18:14:24 2020 params: {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:14:24 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42,
                                    solver='newton-cg'))])
Tue Jul 28 18:14:24 2020               precision    recall  f1-score   support

 concurrency       0.71      0.62      0.67        24
      memory       0.62      0.65      0.64        23
    semantic       0.69      0.74      0.71        27

    accuracy                           0.68        74
   macro avg       0.68      0.67      0.67        74
weighted avg       0.68      0.68      0.68        74

Tue Jul 28 18:14:25 2020 at iteration: 56
Tue Jul 28 18:14:25 2020 n_samples: 369
Tue Jul 28 18:14:25 2020 at classifier: MNB
Tue Jul 28 18:15:11 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:15:11 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:15:11 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:15:11 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:15:11 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:15:11 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:15:11 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:15:11 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:15:11 2020 Best:
Tue Jul 28 18:15:11 2020 index: 2
Tue Jul 28 18:15:11 2020 score: 0.7152542372881356
Tue Jul 28 18:15:11 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:15:11 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 18:15:11 2020               precision    recall  f1-score   support

 concurrency       0.78      0.91      0.84        23
      memory       0.78      0.75      0.76        28
    semantic       0.80      0.70      0.74        23

    accuracy                           0.78        74
   macro avg       0.79      0.79      0.78        74
weighted avg       0.78      0.78      0.78        74

Tue Jul 28 18:15:11 2020 at classifier: LSVC
Tue Jul 28 18:15:36 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:15:36 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:15:36 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:15:36 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:15:36 2020 Best:
Tue Jul 28 18:15:36 2020 index: 1
Tue Jul 28 18:15:36 2020 score: 0.7118644067796609
Tue Jul 28 18:15:36 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:15:36 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:15:36 2020               precision    recall  f1-score   support

 concurrency       0.75      0.91      0.82        23
      memory       0.88      0.75      0.81        28
    semantic       0.86      0.83      0.84        23

    accuracy                           0.82        74
   macro avg       0.83      0.83      0.83        74
weighted avg       0.83      0.82      0.82        74

Tue Jul 28 18:15:36 2020 at classifier: SGDC
Tue Jul 28 18:16:01 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 18:16:01 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 18:16:01 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:16:01 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:16:01 2020 Best:
Tue Jul 28 18:16:01 2020 index: 3
Tue Jul 28 18:16:01 2020 score: 0.711864406779661
Tue Jul 28 18:16:01 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:16:01 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:16:01 2020               precision    recall  f1-score   support

 concurrency       0.69      0.87      0.77        23
      memory       0.87      0.71      0.78        28
    semantic       0.77      0.74      0.76        23

    accuracy                           0.77        74
   macro avg       0.78      0.77      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 18:16:01 2020 at classifier: RFC
Tue Jul 28 18:16:31 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 18:16:31 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.05
Tue Jul 28 18:16:31 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 18:16:31 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.06
Tue Jul 28 18:16:31 2020 Best:
Tue Jul 28 18:16:31 2020 index: 0
Tue Jul 28 18:16:31 2020 score: 0.6338983050847457
Tue Jul 28 18:16:31 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:16:31 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 18:16:31 2020               precision    recall  f1-score   support

 concurrency       0.84      0.70      0.76        23
      memory       1.00      0.29      0.44        28
    semantic       0.47      0.96      0.63        23

    accuracy                           0.62        74
   macro avg       0.77      0.65      0.61        74
weighted avg       0.79      0.62      0.60        74

Tue Jul 28 18:16:31 2020 at classifier: LRC
Tue Jul 28 18:20:57 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:20:57 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:20:57 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:20:57 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:20:57 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:20:57 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:20:57 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:20:57 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:20:57 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:20:57 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:20:57 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 18:20:57 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 18:20:57 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:20:57 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:20:57 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.02
Tue Jul 28 18:20:57 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:20:57 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:20:57 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:20:57 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 18:20:57 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:20:57 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 18:20:57 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:20:57 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 18:20:57 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:20:57 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 18:20:57 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:20:57 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.02
Tue Jul 28 18:20:57 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:20:57 2020 Best:
Tue Jul 28 18:20:57 2020 index: 39
Tue Jul 28 18:20:57 2020 score: 0.7050847457627117
Tue Jul 28 18:20:57 2020 params: {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:20:57 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42, solver='saga'))])
Tue Jul 28 18:20:57 2020               precision    recall  f1-score   support

 concurrency       0.73      0.83      0.78        23
      memory       0.84      0.75      0.79        28
    semantic       0.83      0.83      0.83        23

    accuracy                           0.80        74
   macro avg       0.80      0.80      0.80        74
weighted avg       0.80      0.80      0.80        74

Tue Jul 28 18:20:57 2020 at iteration: 57
Tue Jul 28 18:20:57 2020 n_samples: 369
Tue Jul 28 18:20:57 2020 at classifier: MNB
Tue Jul 28 18:21:38 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:21:38 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 18:21:38 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:21:38 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 18:21:38 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 18:21:38 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.03
Tue Jul 28 18:21:38 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 18:21:38 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 18:21:38 2020 Best:
Tue Jul 28 18:21:38 2020 index: 0
Tue Jul 28 18:21:38 2020 score: 0.6779661016949152
Tue Jul 28 18:21:38 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:21:38 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 18:21:39 2020               precision    recall  f1-score   support

 concurrency       0.66      0.91      0.76        23
      memory       0.63      0.77      0.69        22
    semantic       0.80      0.41      0.55        29

    accuracy                           0.68        74
   macro avg       0.70      0.70      0.67        74
weighted avg       0.70      0.68      0.66        74

Tue Jul 28 18:21:39 2020 at classifier: LSVC
Tue Jul 28 18:22:01 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:22:01 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:22:01 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:22:01 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:22:01 2020 Best:
Tue Jul 28 18:22:01 2020 index: 1
Tue Jul 28 18:22:01 2020 score: 0.7152542372881354
Tue Jul 28 18:22:01 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:22:01 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:22:01 2020               precision    recall  f1-score   support

 concurrency       0.68      0.74      0.71        23
      memory       0.71      0.77      0.74        22
    semantic       0.68      0.59      0.63        29

    accuracy                           0.69        74
   macro avg       0.69      0.70      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 18:22:01 2020 at classifier: SGDC
Tue Jul 28 18:22:22 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.03
Tue Jul 28 18:22:22 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.03
Tue Jul 28 18:22:22 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 18:22:22 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:22:22 2020 Best:
Tue Jul 28 18:22:22 2020 index: 2
Tue Jul 28 18:22:22 2020 score: 0.7254237288135593
Tue Jul 28 18:22:22 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:22:22 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:22:23 2020               precision    recall  f1-score   support

 concurrency       0.61      0.74      0.67        23
      memory       0.94      0.73      0.82        22
    semantic       0.72      0.72      0.72        29

    accuracy                           0.73        74
   macro avg       0.76      0.73      0.74        74
weighted avg       0.75      0.73      0.73        74

Tue Jul 28 18:22:23 2020 at classifier: RFC
Tue Jul 28 18:22:49 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:22:49 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 18:22:49 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 18:22:49 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 18:22:49 2020 Best:
Tue Jul 28 18:22:49 2020 index: 0
Tue Jul 28 18:22:49 2020 score: 0.6847457627118644
Tue Jul 28 18:22:49 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:22:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 18:22:50 2020               precision    recall  f1-score   support

 concurrency       0.65      0.65      0.65        23
      memory       0.83      0.68      0.75        22
    semantic       0.64      0.72      0.68        29

    accuracy                           0.69        74
   macro avg       0.71      0.69      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 18:22:50 2020 at classifier: LRC
Tue Jul 28 18:26:47 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:26:47 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:26:47 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 18:26:47 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:26:47 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 18:26:47 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:26:47 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:26:47 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 18:26:47 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:26:47 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:26:47 2020 Best:
Tue Jul 28 18:26:47 2020 index: 15
Tue Jul 28 18:26:47 2020 score: 0.7152542372881356
Tue Jul 28 18:26:47 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:26:47 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 18:26:48 2020               precision    recall  f1-score   support

 concurrency       0.71      0.65      0.68        23
      memory       0.77      0.77      0.77        22
    semantic       0.68      0.72      0.70        29

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.72        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 18:26:48 2020 at iteration: 58
Tue Jul 28 18:26:48 2020 n_samples: 369
Tue Jul 28 18:26:48 2020 at classifier: MNB
Tue Jul 28 18:27:37 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:27:37 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:27:37 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:27:37 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:27:37 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:27:37 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 18:27:37 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 18:27:37 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:27:37 2020 Best:
Tue Jul 28 18:27:37 2020 index: 1
Tue Jul 28 18:27:37 2020 score: 0.7220338983050848
Tue Jul 28 18:27:37 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:27:37 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 18:27:37 2020               precision    recall  f1-score   support

 concurrency       0.81      0.65      0.72        26
      memory       0.55      0.75      0.63        24
    semantic       0.65      0.54      0.59        24

    accuracy                           0.65        74
   macro avg       0.67      0.65      0.65        74
weighted avg       0.67      0.65      0.65        74

Tue Jul 28 18:27:37 2020 at classifier: LSVC
Tue Jul 28 18:28:01 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 18:28:01 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:28:01 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:28:01 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 18:28:01 2020 Best:
Tue Jul 28 18:28:01 2020 index: 0
Tue Jul 28 18:28:01 2020 score: 0.735593220338983
Tue Jul 28 18:28:01 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:28:01 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:28:01 2020               precision    recall  f1-score   support

 concurrency       0.83      0.73      0.78        26
      memory       0.68      0.54      0.60        24
    semantic       0.59      0.79      0.68        24

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 18:28:01 2020 at classifier: SGDC
Tue Jul 28 18:28:27 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.05
Tue Jul 28 18:28:27 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.04
Tue Jul 28 18:28:27 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:28:27 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:28:27 2020 Best:
Tue Jul 28 18:28:27 2020 index: 3
Tue Jul 28 18:28:27 2020 score: 0.7322033898305085
Tue Jul 28 18:28:27 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:28:27 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:28:27 2020               precision    recall  f1-score   support

 concurrency       0.76      0.62      0.68        26
      memory       0.72      0.54      0.62        24
    semantic       0.51      0.75      0.61        24

    accuracy                           0.64        74
   macro avg       0.67      0.64      0.64        74
weighted avg       0.67      0.64      0.64        74

Tue Jul 28 18:28:27 2020 at classifier: RFC
Tue Jul 28 18:28:57 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 18:28:57 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.08
Tue Jul 28 18:28:57 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.06
Tue Jul 28 18:28:57 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.08
Tue Jul 28 18:28:57 2020 Best:
Tue Jul 28 18:28:57 2020 index: 0
Tue Jul 28 18:28:57 2020 score: 0.6406779661016949
Tue Jul 28 18:28:57 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:28:57 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 18:28:57 2020               precision    recall  f1-score   support

 concurrency       0.89      0.31      0.46        26
      memory       0.82      0.58      0.68        24
    semantic       0.46      0.92      0.61        24

    accuracy                           0.59        74
   macro avg       0.72      0.60      0.58        74
weighted avg       0.73      0.59      0.58        74

Tue Jul 28 18:28:57 2020 at classifier: LRC
Tue Jul 28 18:33:29 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 18:33:29 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 18:33:29 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 18:33:29 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 18:33:29 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 18:33:29 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 18:33:29 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 18:33:29 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:33:29 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 18:33:29 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 18:33:29 2020 Best:
Tue Jul 28 18:33:29 2020 index: 39
Tue Jul 28 18:33:29 2020 score: 0.7389830508474577
Tue Jul 28 18:33:29 2020 params: {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:33:29 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42, solver='saga'))])
Tue Jul 28 18:33:29 2020               precision    recall  f1-score   support

 concurrency       0.81      0.65      0.72        26
      memory       0.68      0.54      0.60        24
    semantic       0.56      0.79      0.66        24

    accuracy                           0.66        74
   macro avg       0.68      0.66      0.66        74
weighted avg       0.69      0.66      0.66        74

Tue Jul 28 18:33:29 2020 at iteration: 59
Tue Jul 28 18:33:29 2020 n_samples: 369
Tue Jul 28 18:33:29 2020 at classifier: MNB
Tue Jul 28 18:34:17 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:34:17 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 18:34:17 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 18:34:17 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 18:34:17 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 18:34:17 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 18:34:17 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 18:34:17 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 18:34:17 2020 Best:
Tue Jul 28 18:34:17 2020 index: 5
Tue Jul 28 18:34:17 2020 score: 0.6949152542372882
Tue Jul 28 18:34:17 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:34:17 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 18:34:18 2020               precision    recall  f1-score   support

 concurrency       0.77      0.61      0.68        28
      memory       0.68      0.81      0.74        21
    semantic       0.70      0.76      0.73        25

    accuracy                           0.72        74
   macro avg       0.72      0.73      0.72        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 18:34:18 2020 at classifier: LSVC
Tue Jul 28 18:34:42 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 18:34:42 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:34:42 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:34:42 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:34:42 2020 Best:
Tue Jul 28 18:34:42 2020 index: 0
Tue Jul 28 18:34:42 2020 score: 0.7152542372881356
Tue Jul 28 18:34:42 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:34:42 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:34:42 2020               precision    recall  f1-score   support

 concurrency       0.74      0.50      0.60        28
      memory       0.77      0.81      0.79        21
    semantic       0.61      0.80      0.69        25

    accuracy                           0.69        74
   macro avg       0.71      0.70      0.69        74
weighted avg       0.70      0.69      0.68        74

Tue Jul 28 18:34:42 2020 at classifier: SGDC
Tue Jul 28 18:35:07 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.08
Tue Jul 28 18:35:07 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.10
Tue Jul 28 18:35:07 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 18:35:07 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:35:07 2020 Best:
Tue Jul 28 18:35:07 2020 index: 3
Tue Jul 28 18:35:07 2020 score: 0.728813559322034
Tue Jul 28 18:35:07 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:35:07 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:35:08 2020               precision    recall  f1-score   support

 concurrency       0.64      0.57      0.60        28
      memory       0.77      0.81      0.79        21
    semantic       0.59      0.64      0.62        25

    accuracy                           0.66        74
   macro avg       0.67      0.67      0.67        74
weighted avg       0.66      0.66      0.66        74

Tue Jul 28 18:35:08 2020 at classifier: RFC
Tue Jul 28 18:35:37 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 18:35:37 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 18:35:37 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.04
Tue Jul 28 18:35:37 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.02
Tue Jul 28 18:35:37 2020 Best:
Tue Jul 28 18:35:37 2020 index: 2
Tue Jul 28 18:35:37 2020 score: 0.6440677966101694
Tue Jul 28 18:35:37 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:35:37 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 18:35:37 2020               precision    recall  f1-score   support

 concurrency       0.82      0.32      0.46        28
      memory       0.84      0.76      0.80        21
    semantic       0.50      0.88      0.64        25

    accuracy                           0.64        74
   macro avg       0.72      0.65      0.63        74
weighted avg       0.72      0.64      0.62        74

Tue Jul 28 18:35:37 2020 at classifier: LRC
Tue Jul 28 18:40:03 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:40:03 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:40:03 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:40:03 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:40:03 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:40:03 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:40:03 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:40:03 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:40:03 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:40:03 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:40:03 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:40:03 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:40:03 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:40:03 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:40:03 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:03 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:40:03 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:40:03 2020 Best:
Tue Jul 28 18:40:03 2020 index: 15
Tue Jul 28 18:40:03 2020 score: 0.7220338983050846
Tue Jul 28 18:40:03 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:40:03 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 18:40:04 2020               precision    recall  f1-score   support

 concurrency       0.70      0.50      0.58        28
      memory       0.71      0.81      0.76        21
    semantic       0.63      0.76      0.69        25

    accuracy                           0.68        74
   macro avg       0.68      0.69      0.68        74
weighted avg       0.68      0.68      0.67        74

Tue Jul 28 18:40:04 2020 at iteration: 60
Tue Jul 28 18:40:04 2020 n_samples: 369
Tue Jul 28 18:40:04 2020 at classifier: MNB
Tue Jul 28 18:40:50 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:40:50 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:50 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:40:50 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:40:50 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:40:50 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 18:40:50 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:40:50 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 18:40:50 2020 Best:
Tue Jul 28 18:40:50 2020 index: 0
Tue Jul 28 18:40:50 2020 score: 0.7186440677966102
Tue Jul 28 18:40:50 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:40:50 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 18:40:50 2020               precision    recall  f1-score   support

 concurrency       0.55      0.90      0.68        20
      memory       0.89      0.59      0.71        29
    semantic       0.73      0.64      0.68        25

    accuracy                           0.69        74
   macro avg       0.72      0.71      0.69        74
weighted avg       0.74      0.69      0.69        74

Tue Jul 28 18:40:50 2020 at classifier: LSVC
Tue Jul 28 18:41:15 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 18:41:15 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 18:41:15 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:41:15 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:41:15 2020 Best:
Tue Jul 28 18:41:15 2020 index: 1
Tue Jul 28 18:41:15 2020 score: 0.7322033898305086
Tue Jul 28 18:41:15 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:41:15 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:41:15 2020               precision    recall  f1-score   support

 concurrency       0.61      0.85      0.71        20
      memory       0.89      0.59      0.71        29
    semantic       0.74      0.80      0.77        25

    accuracy                           0.73        74
   macro avg       0.75      0.75      0.73        74
weighted avg       0.76      0.73      0.73        74

Tue Jul 28 18:41:15 2020 at classifier: SGDC
Tue Jul 28 18:41:40 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.08
Tue Jul 28 18:41:40 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.10
Tue Jul 28 18:41:40 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:41:40 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 18:41:40 2020 Best:
Tue Jul 28 18:41:40 2020 index: 3
Tue Jul 28 18:41:40 2020 score: 0.728813559322034
Tue Jul 28 18:41:40 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:41:40 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:41:40 2020               precision    recall  f1-score   support

 concurrency       0.59      0.85      0.69        20
      memory       0.89      0.55      0.68        29
    semantic       0.70      0.76      0.73        25

    accuracy                           0.70        74
   macro avg       0.73      0.72      0.70        74
weighted avg       0.74      0.70      0.70        74

Tue Jul 28 18:41:40 2020 at classifier: RFC
Tue Jul 28 18:42:09 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 18:42:09 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 18:42:09 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 18:42:09 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 18:42:09 2020 Best:
Tue Jul 28 18:42:09 2020 index: 2
Tue Jul 28 18:42:09 2020 score: 0.6711864406779661
Tue Jul 28 18:42:09 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:42:09 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 18:42:09 2020               precision    recall  f1-score   support

 concurrency       0.59      0.65      0.62        20
      memory       1.00      0.31      0.47        29
    semantic       0.51      0.88      0.65        25

    accuracy                           0.59        74
   macro avg       0.70      0.61      0.58        74
weighted avg       0.72      0.59      0.57        74

Tue Jul 28 18:42:09 2020 at classifier: LRC
Tue Jul 28 18:46:31 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 18:46:31 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 18:46:31 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 18:46:31 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 18:46:31 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 18:46:31 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 18:46:31 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 18:46:31 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:46:31 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 18:46:31 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:46:31 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:46:31 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 18:46:31 2020 Best:
Tue Jul 28 18:46:31 2020 index: 19
Tue Jul 28 18:46:31 2020 score: 0.728813559322034
Tue Jul 28 18:46:31 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:46:31 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 18:46:32 2020               precision    recall  f1-score   support

 concurrency       0.62      0.80      0.70        20
      memory       0.88      0.52      0.65        29
    semantic       0.65      0.80      0.71        25

    accuracy                           0.69        74
   macro avg       0.71      0.71      0.69        74
weighted avg       0.73      0.69      0.68        74

Tue Jul 28 18:46:32 2020 at iteration: 61
Tue Jul 28 18:46:32 2020 n_samples: 369
Tue Jul 28 18:46:32 2020 at classifier: MNB
Tue Jul 28 18:47:17 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:47:17 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:47:17 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:47:17 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:47:17 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:47:17 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 18:47:17 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:47:17 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:47:17 2020 Best:
Tue Jul 28 18:47:17 2020 index: 1
Tue Jul 28 18:47:17 2020 score: 0.7152542372881356
Tue Jul 28 18:47:17 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:47:17 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 18:47:17 2020               precision    recall  f1-score   support

 concurrency       0.64      0.75      0.69        24
      memory       0.76      0.79      0.78        24
    semantic       0.81      0.65      0.72        26

    accuracy                           0.73        74
   macro avg       0.74      0.73      0.73        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 18:47:17 2020 at classifier: LSVC
Tue Jul 28 18:47:41 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 18:47:41 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 18:47:41 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:47:41 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:47:41 2020 Best:
Tue Jul 28 18:47:41 2020 index: 1
Tue Jul 28 18:47:41 2020 score: 0.7220338983050848
Tue Jul 28 18:47:41 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:47:41 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:47:42 2020               precision    recall  f1-score   support

 concurrency       0.64      0.67      0.65        24
      memory       0.81      0.71      0.76        24
    semantic       0.68      0.73      0.70        26

    accuracy                           0.70        74
   macro avg       0.71      0.70      0.70        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 18:47:42 2020 at classifier: SGDC
Tue Jul 28 18:48:04 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 18:48:04 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.06
Tue Jul 28 18:48:04 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 18:48:04 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:48:04 2020 Best:
Tue Jul 28 18:48:04 2020 index: 2
Tue Jul 28 18:48:04 2020 score: 0.7322033898305085
Tue Jul 28 18:48:04 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:48:04 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:48:04 2020               precision    recall  f1-score   support

 concurrency       0.55      0.67      0.60        24
      memory       0.88      0.62      0.73        24
    semantic       0.68      0.73      0.70        26

    accuracy                           0.68        74
   macro avg       0.70      0.67      0.68        74
weighted avg       0.70      0.68      0.68        74

Tue Jul 28 18:48:04 2020 at classifier: RFC
Tue Jul 28 18:48:33 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.07
Tue Jul 28 18:48:33 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.04
Tue Jul 28 18:48:33 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.09
Tue Jul 28 18:48:33 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.03
Tue Jul 28 18:48:33 2020 Best:
Tue Jul 28 18:48:33 2020 index: 0
Tue Jul 28 18:48:33 2020 score: 0.6576271186440679
Tue Jul 28 18:48:33 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:48:33 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 18:48:33 2020               precision    recall  f1-score   support

 concurrency       0.62      0.54      0.58        24
      memory       0.86      0.50      0.63        24
    semantic       0.51      0.77      0.62        26

    accuracy                           0.61        74
   macro avg       0.66      0.60      0.61        74
weighted avg       0.66      0.61      0.61        74

Tue Jul 28 18:48:33 2020 at classifier: LRC
Tue Jul 28 18:52:42 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:52:42 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:52:42 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:52:42 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:52:42 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 18:52:42 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:52:42 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 18:52:42 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:52:42 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 18:52:42 2020 Best:
Tue Jul 28 18:52:42 2020 index: 29
Tue Jul 28 18:52:42 2020 score: 0.7152542372881355
Tue Jul 28 18:52:42 2020 params: {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:52:42 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='saga'))])
Tue Jul 28 18:52:43 2020               precision    recall  f1-score   support

 concurrency       0.67      0.67      0.67        24
      memory       0.80      0.67      0.73        24
    semantic       0.63      0.73      0.68        26

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 18:52:43 2020 at iteration: 62
Tue Jul 28 18:52:43 2020 n_samples: 369
Tue Jul 28 18:52:43 2020 at classifier: MNB
Tue Jul 28 18:53:24 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:53:24 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:53:24 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:53:24 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:53:24 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 18:53:24 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:53:24 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:53:24 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:53:24 2020 Best:
Tue Jul 28 18:53:24 2020 index: 4
Tue Jul 28 18:53:24 2020 score: 0.7254237288135593
Tue Jul 28 18:53:24 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:53:24 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 18:53:24 2020               precision    recall  f1-score   support

 concurrency       0.79      0.73      0.76        26
      memory       0.59      0.64      0.62        25
    semantic       0.65      0.65      0.65        23

    accuracy                           0.68        74
   macro avg       0.68      0.67      0.68        74
weighted avg       0.68      0.68      0.68        74

Tue Jul 28 18:53:24 2020 at classifier: LSVC
Tue Jul 28 18:53:45 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:53:45 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:53:45 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:53:45 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:53:45 2020 Best:
Tue Jul 28 18:53:45 2020 index: 0
Tue Jul 28 18:53:45 2020 score: 0.7084745762711864
Tue Jul 28 18:53:45 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:53:45 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:53:45 2020               precision    recall  f1-score   support

 concurrency       0.82      0.69      0.75        26
      memory       0.71      0.68      0.69        25
    semantic       0.64      0.78      0.71        23

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.72        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 18:53:45 2020 at classifier: SGDC
Tue Jul 28 18:54:06 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.03
Tue Jul 28 18:54:06 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.05
Tue Jul 28 18:54:06 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 18:54:06 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 18:54:06 2020 Best:
Tue Jul 28 18:54:06 2020 index: 2
Tue Jul 28 18:54:06 2020 score: 0.7050847457627119
Tue Jul 28 18:54:06 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:54:06 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:54:07 2020               precision    recall  f1-score   support

 concurrency       0.70      0.62      0.65        26
      memory       0.80      0.64      0.71        25
    semantic       0.65      0.87      0.74        23

    accuracy                           0.70        74
   macro avg       0.71      0.71      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 18:54:07 2020 at classifier: RFC
Tue Jul 28 18:54:33 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 18:54:33 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.03
Tue Jul 28 18:54:33 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 18:54:33 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.04
Tue Jul 28 18:54:33 2020 Best:
Tue Jul 28 18:54:33 2020 index: 0
Tue Jul 28 18:54:33 2020 score: 0.623728813559322
Tue Jul 28 18:54:33 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:54:33 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 18:54:33 2020               precision    recall  f1-score   support

 concurrency       0.82      0.35      0.49        26
      memory       0.94      0.60      0.73        25
    semantic       0.49      1.00      0.66        23

    accuracy                           0.64        74
   macro avg       0.75      0.65      0.63        74
weighted avg       0.76      0.64      0.62        74

Tue Jul 28 18:54:33 2020 at classifier: LRC
Tue Jul 28 18:58:23 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 18:58:23 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:58:23 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:58:23 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:58:23 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:58:23 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:58:23 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:58:23 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:58:23 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:58:23 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:58:23 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:58:23 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 18:58:23 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 18:58:23 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 18:58:23 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 18:58:23 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 18:58:23 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 18:58:23 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 18:58:23 2020 Best:
Tue Jul 28 18:58:23 2020 index: 4
Tue Jul 28 18:58:23 2020 score: 0.7118644067796611
Tue Jul 28 18:58:23 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:58:23 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 18:58:23 2020               precision    recall  f1-score   support

 concurrency       0.76      0.62      0.68        26
      memory       0.67      0.64      0.65        25
    semantic       0.62      0.78      0.69        23

    accuracy                           0.68        74
   macro avg       0.68      0.68      0.68        74
weighted avg       0.69      0.68      0.68        74

Tue Jul 28 18:58:23 2020 at iteration: 63
Tue Jul 28 18:58:23 2020 n_samples: 369
Tue Jul 28 18:58:23 2020 at classifier: MNB
Tue Jul 28 18:59:06 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 18:59:06 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 18:59:06 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 18:59:06 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 18:59:06 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 18:59:06 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 18:59:06 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 18:59:06 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 18:59:06 2020 Best:
Tue Jul 28 18:59:06 2020 index: 2
Tue Jul 28 18:59:06 2020 score: 0.7254237288135593
Tue Jul 28 18:59:06 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:59:06 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 18:59:06 2020               precision    recall  f1-score   support

 concurrency       0.78      0.54      0.64        26
      memory       0.56      0.86      0.68        22
    semantic       0.77      0.65      0.71        26

    accuracy                           0.68        74
   macro avg       0.70      0.69      0.67        74
weighted avg       0.71      0.68      0.67        74

Tue Jul 28 18:59:06 2020 at classifier: LSVC
Tue Jul 28 18:59:28 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.05
Tue Jul 28 18:59:28 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 18:59:28 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 18:59:28 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 18:59:28 2020 Best:
Tue Jul 28 18:59:28 2020 index: 0
Tue Jul 28 18:59:28 2020 score: 0.7491525423728813
Tue Jul 28 18:59:28 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:59:28 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 18:59:28 2020               precision    recall  f1-score   support

 concurrency       0.79      0.58      0.67        26
      memory       0.68      0.77      0.72        22
    semantic       0.63      0.73      0.68        26

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 18:59:28 2020 at classifier: SGDC
Tue Jul 28 18:59:50 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.04
Tue Jul 28 18:59:50 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 18:59:50 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 18:59:50 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 18:59:50 2020 Best:
Tue Jul 28 18:59:50 2020 index: 2
Tue Jul 28 18:59:50 2020 score: 0.7389830508474576
Tue Jul 28 18:59:50 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 18:59:50 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 18:59:50 2020               precision    recall  f1-score   support

 concurrency       0.73      0.62      0.67        26
      memory       0.62      0.68      0.65        22
    semantic       0.64      0.69      0.67        26

    accuracy                           0.66        74
   macro avg       0.67      0.66      0.66        74
weighted avg       0.67      0.66      0.66        74

Tue Jul 28 18:59:50 2020 at classifier: RFC
Tue Jul 28 19:00:18 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 19:00:18 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 19:00:18 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.07
Tue Jul 28 19:00:18 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 19:00:18 2020 Best:
Tue Jul 28 19:00:18 2020 index: 2
Tue Jul 28 19:00:18 2020 score: 0.640677966101695
Tue Jul 28 19:00:18 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:00:18 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 19:00:18 2020               precision    recall  f1-score   support

 concurrency       0.85      0.42      0.56        26
      memory       0.79      0.68      0.73        22
    semantic       0.55      0.88      0.68        26

    accuracy                           0.66        74
   macro avg       0.73      0.66      0.66        74
weighted avg       0.72      0.66      0.65        74

Tue Jul 28 19:00:18 2020 at classifier: LRC
Tue Jul 28 19:04:20 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:04:20 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:04:20 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:04:20 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 19:04:20 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:04:20 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:04:20 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:04:20 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 19:04:20 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 19:04:20 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:04:20 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:04:20 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:04:20 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:04:20 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:04:20 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:04:20 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:04:20 2020 Best:
Tue Jul 28 19:04:20 2020 index: 18
Tue Jul 28 19:04:20 2020 score: 0.735593220338983
Tue Jul 28 19:04:20 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:04:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 19:04:20 2020               precision    recall  f1-score   support

 concurrency       0.83      0.58      0.68        26
      memory       0.67      0.82      0.73        22
    semantic       0.66      0.73      0.69        26

    accuracy                           0.70        74
   macro avg       0.72      0.71      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 19:04:21 2020 at iteration: 64
Tue Jul 28 19:04:21 2020 n_samples: 369
Tue Jul 28 19:04:21 2020 at classifier: MNB
Tue Jul 28 19:05:06 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:05:06 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 19:05:06 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 19:05:06 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 19:05:06 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 19:05:06 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 19:05:06 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.09
Tue Jul 28 19:05:06 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:05:06 2020 Best:
Tue Jul 28 19:05:06 2020 index: 0
Tue Jul 28 19:05:06 2020 score: 0.6949152542372882
Tue Jul 28 19:05:06 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:05:06 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 19:05:06 2020               precision    recall  f1-score   support

 concurrency       0.60      0.52      0.56        23
      memory       0.73      0.81      0.77        27
    semantic       0.71      0.71      0.71        24

    accuracy                           0.69        74
   macro avg       0.68      0.68      0.68        74
weighted avg       0.68      0.69      0.68        74

Tue Jul 28 19:05:06 2020 at classifier: LSVC
Tue Jul 28 19:05:29 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:05:29 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:05:29 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:05:29 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:05:29 2020 Best:
Tue Jul 28 19:05:29 2020 index: 1
Tue Jul 28 19:05:29 2020 score: 0.7050847457627119
Tue Jul 28 19:05:29 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:05:29 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:05:30 2020               precision    recall  f1-score   support

 concurrency       0.56      0.43      0.49        23
      memory       0.77      0.74      0.75        27
    semantic       0.67      0.83      0.74        24

    accuracy                           0.68        74
   macro avg       0.66      0.67      0.66        74
weighted avg       0.67      0.68      0.67        74

Tue Jul 28 19:05:30 2020 at classifier: SGDC
Tue Jul 28 19:05:52 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.09
Tue Jul 28 19:05:52 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 19:05:52 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:05:52 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:05:52 2020 Best:
Tue Jul 28 19:05:52 2020 index: 2
Tue Jul 28 19:05:52 2020 score: 0.7050847457627119
Tue Jul 28 19:05:52 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:05:52 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:05:53 2020               precision    recall  f1-score   support

 concurrency       0.59      0.57      0.58        23
      memory       0.77      0.74      0.75        27
    semantic       0.69      0.75      0.72        24

    accuracy                           0.69        74
   macro avg       0.68      0.69      0.68        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 19:05:53 2020 at classifier: RFC
Tue Jul 28 19:06:21 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 19:06:21 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.02
Tue Jul 28 19:06:21 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 19:06:21 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.01
Tue Jul 28 19:06:21 2020 Best:
Tue Jul 28 19:06:21 2020 index: 2
Tue Jul 28 19:06:21 2020 score: 0.6305084745762712
Tue Jul 28 19:06:21 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:06:21 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 19:06:21 2020               precision    recall  f1-score   support

 concurrency       0.67      0.43      0.53        23
      memory       0.80      0.44      0.57        27
    semantic       0.50      0.92      0.65        24

    accuracy                           0.59        74
   macro avg       0.66      0.60      0.58        74
weighted avg       0.66      0.59      0.58        74

Tue Jul 28 19:06:21 2020 at classifier: LRC
Tue Jul 28 19:10:37 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:10:37 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:10:37 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:10:37 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:10:37 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:10:37 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:10:37 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:10:37 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:10:37 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:10:37 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:10:37 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:10:37 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:10:37 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.09
Tue Jul 28 19:10:37 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:10:37 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:10:37 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:10:37 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:10:37 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:10:37 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 19:10:37 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:10:37 2020 Best:
Tue Jul 28 19:10:37 2020 index: 15
Tue Jul 28 19:10:37 2020 score: 0.711864406779661
Tue Jul 28 19:10:37 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:10:37 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 19:10:38 2020               precision    recall  f1-score   support

 concurrency       0.59      0.43      0.50        23
      memory       0.75      0.78      0.76        27
    semantic       0.66      0.79      0.72        24

    accuracy                           0.68        74
   macro avg       0.66      0.67      0.66        74
weighted avg       0.67      0.68      0.67        74

Tue Jul 28 19:10:38 2020 at iteration: 65
Tue Jul 28 19:10:38 2020 n_samples: 369
Tue Jul 28 19:10:38 2020 at classifier: MNB
Tue Jul 28 19:11:26 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:11:26 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 19:11:26 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:11:26 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:11:26 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 19:11:26 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 19:11:26 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 19:11:26 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 19:11:26 2020 Best:
Tue Jul 28 19:11:26 2020 index: 2
Tue Jul 28 19:11:26 2020 score: 0.6983050847457626
Tue Jul 28 19:11:26 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:11:26 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 19:11:26 2020               precision    recall  f1-score   support

 concurrency       0.73      0.79      0.76        24
      memory       0.61      0.77      0.68        22
    semantic       0.80      0.57      0.67        28

    accuracy                           0.70        74
   macro avg       0.71      0.71      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 19:11:26 2020 at classifier: LSVC
Tue Jul 28 19:11:50 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:11:50 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:11:50 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:11:50 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:11:50 2020 Best:
Tue Jul 28 19:11:50 2020 index: 0
Tue Jul 28 19:11:50 2020 score: 0.705084745762712
Tue Jul 28 19:11:50 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:11:50 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:11:51 2020               precision    recall  f1-score   support

 concurrency       0.77      0.83      0.80        24
      memory       0.71      0.77      0.74        22
    semantic       0.79      0.68      0.73        28

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 19:11:51 2020 at classifier: SGDC
Tue Jul 28 19:12:15 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.05
Tue Jul 28 19:12:15 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.05
Tue Jul 28 19:12:15 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:12:15 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 19:12:15 2020 Best:
Tue Jul 28 19:12:15 2020 index: 2
Tue Jul 28 19:12:15 2020 score: 0.7016949152542373
Tue Jul 28 19:12:15 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:12:15 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:12:15 2020               precision    recall  f1-score   support

 concurrency       0.75      0.88      0.81        24
      memory       0.74      0.77      0.76        22
    semantic       0.83      0.68      0.75        28

    accuracy                           0.77        74
   macro avg       0.77      0.78      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 19:12:15 2020 at classifier: RFC
Tue Jul 28 19:12:45 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 19:12:45 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.06
Tue Jul 28 19:12:45 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.02
Tue Jul 28 19:12:45 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.05
Tue Jul 28 19:12:45 2020 Best:
Tue Jul 28 19:12:45 2020 index: 0
Tue Jul 28 19:12:45 2020 score: 0.6576271186440679
Tue Jul 28 19:12:45 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:12:45 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 19:12:46 2020               precision    recall  f1-score   support

 concurrency       0.80      0.50      0.62        24
      memory       0.77      0.77      0.77        22
    semantic       0.62      0.82      0.71        28

    accuracy                           0.70        74
   macro avg       0.73      0.70      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 19:12:46 2020 at classifier: LRC
Tue Jul 28 19:17:15 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 19:17:15 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 19:17:15 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:17:15 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 19:17:15 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 19:17:15 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 19:17:15 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 19:17:15 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:17:15 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 19:17:15 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 19:17:15 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 19:17:15 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:17:15 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:17:15 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 19:17:15 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:17:15 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:17:15 2020 Best:
Tue Jul 28 19:17:15 2020 index: 14
Tue Jul 28 19:17:15 2020 score: 0.7050847457627117
Tue Jul 28 19:17:15 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:17:15 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 19:17:15 2020               precision    recall  f1-score   support

 concurrency       0.81      0.71      0.76        24
      memory       0.65      0.77      0.71        22
    semantic       0.70      0.68      0.69        28

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.72        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 19:17:15 2020 at iteration: 66
Tue Jul 28 19:17:15 2020 n_samples: 369
Tue Jul 28 19:17:15 2020 at classifier: MNB
Tue Jul 28 19:17:58 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:17:58 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:17:58 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:17:58 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:17:58 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:17:58 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:17:58 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:17:58 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 19:17:58 2020 Best:
Tue Jul 28 19:17:58 2020 index: 4
Tue Jul 28 19:17:58 2020 score: 0.7186440677966102
Tue Jul 28 19:17:58 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:17:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 19:17:58 2020               precision    recall  f1-score   support

 concurrency       0.71      0.96      0.81        23
      memory       0.71      0.65      0.68        26
    semantic       0.74      0.56      0.64        25

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.71        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 19:17:58 2020 at classifier: LSVC
Tue Jul 28 19:18:20 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 19:18:20 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:18:20 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:18:20 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:18:20 2020 Best:
Tue Jul 28 19:18:20 2020 index: 0
Tue Jul 28 19:18:20 2020 score: 0.7254237288135593
Tue Jul 28 19:18:20 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:18:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:18:20 2020               precision    recall  f1-score   support

 concurrency       0.73      0.83      0.78        23
      memory       0.75      0.58      0.65        26
    semantic       0.64      0.72      0.68        25

    accuracy                           0.70        74
   macro avg       0.71      0.71      0.70        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 19:18:20 2020 at classifier: SGDC
Tue Jul 28 19:18:42 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.07
Tue Jul 28 19:18:42 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.07
Tue Jul 28 19:18:42 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:18:42 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 19:18:42 2020 Best:
Tue Jul 28 19:18:42 2020 index: 2
Tue Jul 28 19:18:42 2020 score: 0.7322033898305085
Tue Jul 28 19:18:42 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:18:42 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:18:42 2020               precision    recall  f1-score   support

 concurrency       0.69      0.78      0.73        23
      memory       0.88      0.54      0.67        26
    semantic       0.66      0.84      0.74        25

    accuracy                           0.72        74
   macro avg       0.74      0.72      0.71        74
weighted avg       0.74      0.72      0.71        74

Tue Jul 28 19:18:42 2020 at classifier: RFC
Tue Jul 28 19:19:10 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 19:19:10 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.07
Tue Jul 28 19:19:10 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.02
Tue Jul 28 19:19:10 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.06
Tue Jul 28 19:19:10 2020 Best:
Tue Jul 28 19:19:10 2020 index: 0
Tue Jul 28 19:19:10 2020 score: 0.6677966101694915
Tue Jul 28 19:19:10 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:19:10 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 19:19:10 2020               precision    recall  f1-score   support

 concurrency       0.88      0.65      0.75        23
      memory       0.80      0.31      0.44        26
    semantic       0.47      0.88      0.61        25

    accuracy                           0.61        74
   macro avg       0.72      0.61      0.60        74
weighted avg       0.71      0.61      0.60        74

Tue Jul 28 19:19:10 2020 at classifier: LRC
Tue Jul 28 19:23:17 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:23:17 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:23:17 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:23:17 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:23:17 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:23:17 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:23:17 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 19:23:17 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 19:23:17 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:23:17 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 19:23:17 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:23:17 2020 Best:
Tue Jul 28 19:23:17 2020 index: 9
Tue Jul 28 19:23:17 2020 score: 0.7084745762711864
Tue Jul 28 19:23:17 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:23:17 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 19:23:18 2020               precision    recall  f1-score   support

 concurrency       0.74      0.74      0.74        23
      memory       0.79      0.58      0.67        26
    semantic       0.62      0.80      0.70        25

    accuracy                           0.70        74
   macro avg       0.72      0.71      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 19:23:18 2020 at iteration: 67
Tue Jul 28 19:23:18 2020 n_samples: 369
Tue Jul 28 19:23:18 2020 at classifier: MNB
Tue Jul 28 19:23:58 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:23:58 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:23:58 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:23:58 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:23:58 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:23:58 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:23:58 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:23:58 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:23:58 2020 Best:
Tue Jul 28 19:23:58 2020 index: 5
Tue Jul 28 19:23:58 2020 score: 0.7389830508474576
Tue Jul 28 19:23:58 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:23:58 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 19:23:59 2020               precision    recall  f1-score   support

 concurrency       0.69      0.77      0.73        26
      memory       0.75      0.69      0.72        26
    semantic       0.67      0.64      0.65        22

    accuracy                           0.70        74
   macro avg       0.70      0.70      0.70        74
weighted avg       0.70      0.70      0.70        74

Tue Jul 28 19:23:59 2020 at classifier: LSVC
Tue Jul 28 19:24:19 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 19:24:19 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:24:19 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 19:24:19 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 19:24:19 2020 Best:
Tue Jul 28 19:24:19 2020 index: 0
Tue Jul 28 19:24:19 2020 score: 0.7423728813559322
Tue Jul 28 19:24:19 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:24:19 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:24:19 2020               precision    recall  f1-score   support

 concurrency       0.75      0.69      0.72        26
      memory       0.82      0.69      0.75        26
    semantic       0.61      0.77      0.68        22

    accuracy                           0.72        74
   macro avg       0.73      0.72      0.72        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 19:24:19 2020 at classifier: SGDC
Tue Jul 28 19:24:40 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 19:24:40 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.04
Tue Jul 28 19:24:40 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:24:40 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:24:40 2020 Best:
Tue Jul 28 19:24:40 2020 index: 2
Tue Jul 28 19:24:40 2020 score: 0.7254237288135593
Tue Jul 28 19:24:40 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:24:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:24:40 2020               precision    recall  f1-score   support

 concurrency       0.70      0.73      0.72        26
      memory       0.84      0.62      0.71        26
    semantic       0.61      0.77      0.68        22

    accuracy                           0.70        74
   macro avg       0.72      0.71      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 19:24:40 2020 at classifier: RFC
Tue Jul 28 19:25:07 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.08
Tue Jul 28 19:25:07 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.06
Tue Jul 28 19:25:07 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 19:25:07 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.05
Tue Jul 28 19:25:07 2020 Best:
Tue Jul 28 19:25:07 2020 index: 0
Tue Jul 28 19:25:07 2020 score: 0.5932203389830508
Tue Jul 28 19:25:07 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:25:07 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 19:25:07 2020               precision    recall  f1-score   support

 concurrency       0.75      0.46      0.57        26
      memory       0.93      0.50      0.65        26
    semantic       0.45      0.91      0.61        22

    accuracy                           0.61        74
   macro avg       0.71      0.62      0.61        74
weighted avg       0.72      0.61      0.61        74

Tue Jul 28 19:25:07 2020 at classifier: LRC
Tue Jul 28 19:28:58 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:28:58 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:28:58 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:28:58 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:28:58 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:28:58 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 19:28:58 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:28:58 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 19:28:58 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:28:58 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:28:58 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:28:58 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:28:58 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:28:58 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:28:58 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:28:58 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:28:58 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:28:58 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:28:58 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:28:58 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:28:58 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 19:28:58 2020 Best:
Tue Jul 28 19:28:58 2020 index: 29
Tue Jul 28 19:28:58 2020 score: 0.711864406779661
Tue Jul 28 19:28:58 2020 params: {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:28:58 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='saga'))])
Tue Jul 28 19:28:58 2020               precision    recall  f1-score   support

 concurrency       0.76      0.73      0.75        26
      memory       0.68      0.65      0.67        26
    semantic       0.62      0.68      0.65        22

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 19:28:59 2020 at iteration: 68
Tue Jul 28 19:28:59 2020 n_samples: 369
Tue Jul 28 19:28:59 2020 at classifier: MNB
Tue Jul 28 19:29:42 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:29:42 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:29:42 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:29:42 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:29:42 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:29:42 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:29:42 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:29:42 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:29:42 2020 Best:
Tue Jul 28 19:29:42 2020 index: 1
Tue Jul 28 19:29:42 2020 score: 0.7322033898305085
Tue Jul 28 19:29:42 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:29:42 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 19:29:43 2020               precision    recall  f1-score   support

 concurrency       0.58      0.78      0.67        23
      memory       0.75      0.62      0.68        24
    semantic       0.70      0.59      0.64        27

    accuracy                           0.66        74
   macro avg       0.68      0.67      0.66        74
weighted avg       0.68      0.66      0.66        74

Tue Jul 28 19:29:43 2020 at classifier: LSVC
Tue Jul 28 19:30:05 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.04
Tue Jul 28 19:30:05 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:30:05 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:30:05 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 19:30:05 2020 Best:
Tue Jul 28 19:30:05 2020 index: 0
Tue Jul 28 19:30:05 2020 score: 0.7525423728813558
Tue Jul 28 19:30:05 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:30:05 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:30:05 2020               precision    recall  f1-score   support

 concurrency       0.59      0.70      0.64        23
      memory       0.88      0.58      0.70        24
    semantic       0.68      0.78      0.72        27

    accuracy                           0.69        74
   macro avg       0.72      0.69      0.69        74
weighted avg       0.72      0.69      0.69        74

Tue Jul 28 19:30:05 2020 at classifier: SGDC
Tue Jul 28 19:30:27 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 19:30:27 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 19:30:27 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.04
Tue Jul 28 19:30:27 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 19:30:27 2020 Best:
Tue Jul 28 19:30:27 2020 index: 2
Tue Jul 28 19:30:27 2020 score: 0.7491525423728813
Tue Jul 28 19:30:27 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:30:27 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:30:28 2020               precision    recall  f1-score   support

 concurrency       0.60      0.65      0.63        23
      memory       0.87      0.54      0.67        24
    semantic       0.62      0.78      0.69        27

    accuracy                           0.66        74
   macro avg       0.69      0.66      0.66        74
weighted avg       0.69      0.66      0.66        74

Tue Jul 28 19:30:28 2020 at classifier: RFC
Tue Jul 28 19:30:56 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 19:30:56 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 19:30:56 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:30:56 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 19:30:56 2020 Best:
Tue Jul 28 19:30:56 2020 index: 2
Tue Jul 28 19:30:56 2020 score: 0.6915254237288135
Tue Jul 28 19:30:56 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:30:56 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 19:30:56 2020               precision    recall  f1-score   support

 concurrency       0.64      0.61      0.62        23
      memory       0.87      0.54      0.67        24
    semantic       0.57      0.78      0.66        27

    accuracy                           0.65        74
   macro avg       0.69      0.64      0.65        74
weighted avg       0.69      0.65      0.65        74

Tue Jul 28 19:30:56 2020 at classifier: LRC
Tue Jul 28 19:35:03 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:35:03 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:35:03 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:35:03 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.04
Tue Jul 28 19:35:03 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.03
Tue Jul 28 19:35:03 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.76; std - 0.04
Tue Jul 28 19:35:03 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 19:35:03 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.04
Tue Jul 28 19:35:03 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 19:35:03 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.76; std - 0.04
Tue Jul 28 19:35:03 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 19:35:03 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 19:35:03 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 19:35:03 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.05
Tue Jul 28 19:35:03 2020 Best:
Tue Jul 28 19:35:03 2020 index: 34
Tue Jul 28 19:35:03 2020 score: 0.7593220338983051
Tue Jul 28 19:35:03 2020 params: {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:35:03 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42,
                                    solver='liblinear'))])
Tue Jul 28 19:35:03 2020               precision    recall  f1-score   support

 concurrency       0.56      0.65      0.60        23
      memory       0.88      0.58      0.70        24
    semantic       0.68      0.78      0.72        27

    accuracy                           0.68        74
   macro avg       0.70      0.67      0.67        74
weighted avg       0.70      0.68      0.68        74

Tue Jul 28 19:35:03 2020 at iteration: 69
Tue Jul 28 19:35:03 2020 n_samples: 369
Tue Jul 28 19:35:03 2020 at classifier: MNB
Tue Jul 28 19:35:51 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 19:35:51 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 19:35:51 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 19:35:51 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 19:35:51 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 19:35:51 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 19:35:51 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 19:35:51 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.02
Tue Jul 28 19:35:51 2020 Best:
Tue Jul 28 19:35:51 2020 index: 0
Tue Jul 28 19:35:51 2020 score: 0.6711864406779661
Tue Jul 28 19:35:51 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:35:51 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 19:35:51 2020               precision    recall  f1-score   support

 concurrency       0.68      0.86      0.76        22
      memory       0.74      0.77      0.75        26
    semantic       0.79      0.58      0.67        26

    accuracy                           0.73        74
   macro avg       0.74      0.74      0.73        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 19:35:51 2020 at classifier: LSVC
Tue Jul 28 19:36:16 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:36:16 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:36:16 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:36:16 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:36:16 2020 Best:
Tue Jul 28 19:36:16 2020 index: 1
Tue Jul 28 19:36:16 2020 score: 0.7220338983050847
Tue Jul 28 19:36:16 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:36:16 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:36:17 2020               precision    recall  f1-score   support

 concurrency       0.67      0.64      0.65        22
      memory       0.73      0.73      0.73        26
    semantic       0.67      0.69      0.68        26

    accuracy                           0.69        74
   macro avg       0.69      0.69      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 19:36:17 2020 at classifier: SGDC
Tue Jul 28 19:36:42 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 19:36:42 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.08
Tue Jul 28 19:36:42 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:36:42 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:36:42 2020 Best:
Tue Jul 28 19:36:42 2020 index: 3
Tue Jul 28 19:36:42 2020 score: 0.7016949152542372
Tue Jul 28 19:36:42 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:36:42 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:36:42 2020               precision    recall  f1-score   support

 concurrency       0.62      0.68      0.65        22
      memory       0.87      0.77      0.82        26
    semantic       0.67      0.69      0.68        26

    accuracy                           0.72        74
   macro avg       0.72      0.71      0.72        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 19:36:42 2020 at classifier: RFC
Tue Jul 28 19:37:12 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.08
Tue Jul 28 19:37:12 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.07
Tue Jul 28 19:37:12 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.09
Tue Jul 28 19:37:12 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.06
Tue Jul 28 19:37:12 2020 Best:
Tue Jul 28 19:37:12 2020 index: 0
Tue Jul 28 19:37:12 2020 score: 0.6576271186440679
Tue Jul 28 19:37:12 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:37:12 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 19:37:12 2020               precision    recall  f1-score   support

 concurrency       0.80      0.55      0.65        22
      memory       0.94      0.62      0.74        26
    semantic       0.57      0.92      0.71        26

    accuracy                           0.70        74
   macro avg       0.77      0.69      0.70        74
weighted avg       0.77      0.70      0.70        74

Tue Jul 28 19:37:12 2020 at classifier: LRC
Tue Jul 28 19:41:39 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:41:39 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:41:39 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:41:39 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:41:39 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:41:39 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:41:39 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:41:39 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:41:39 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 19:41:39 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:41:39 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 19:41:39 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:41:39 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 19:41:39 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:41:39 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:41:39 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:41:39 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 19:41:39 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:41:39 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 19:41:39 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 19:41:39 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 19:41:39 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:41:39 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 19:41:39 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:41:39 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:41:39 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:41:39 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 19:41:39 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:41:39 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:41:39 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:41:39 2020 Best:
Tue Jul 28 19:41:39 2020 index: 4
Tue Jul 28 19:41:39 2020 score: 0.7118644067796611
Tue Jul 28 19:41:39 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:41:39 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 19:41:39 2020               precision    recall  f1-score   support

 concurrency       0.68      0.68      0.68        22
      memory       0.79      0.73      0.76        26
    semantic       0.64      0.69      0.67        26

    accuracy                           0.70        74
   macro avg       0.71      0.70      0.70        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 19:41:39 2020 at iteration: 70
Tue Jul 28 19:41:39 2020 n_samples: 369
Tue Jul 28 19:41:39 2020 at classifier: MNB
Tue Jul 28 19:42:26 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:42:26 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:42:26 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:42:26 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 19:42:26 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:42:26 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:42:26 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:42:26 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:42:26 2020 Best:
Tue Jul 28 19:42:26 2020 index: 0
Tue Jul 28 19:42:26 2020 score: 0.7118644067796611
Tue Jul 28 19:42:26 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:42:26 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 19:42:26 2020               precision    recall  f1-score   support

 concurrency       0.54      0.86      0.67        22
      memory       0.90      0.58      0.70        33
    semantic       0.72      0.68      0.70        19

    accuracy                           0.69        74
   macro avg       0.72      0.71      0.69        74
weighted avg       0.75      0.69      0.69        74

Tue Jul 28 19:42:26 2020 at classifier: LSVC
Tue Jul 28 19:42:51 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 19:42:51 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 19:42:51 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 19:42:51 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:42:51 2020 Best:
Tue Jul 28 19:42:51 2020 index: 1
Tue Jul 28 19:42:51 2020 score: 0.7220338983050847
Tue Jul 28 19:42:51 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:42:51 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:42:52 2020               precision    recall  f1-score   support

 concurrency       0.65      0.77      0.71        22
      memory       0.86      0.73      0.79        33
    semantic       0.65      0.68      0.67        19

    accuracy                           0.73        74
   macro avg       0.72      0.73      0.72        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 19:42:52 2020 at classifier: SGDC
Tue Jul 28 19:43:16 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.07
Tue Jul 28 19:43:16 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.07
Tue Jul 28 19:43:16 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:43:16 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:43:16 2020 Best:
Tue Jul 28 19:43:16 2020 index: 3
Tue Jul 28 19:43:16 2020 score: 0.7322033898305085
Tue Jul 28 19:43:16 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:43:16 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:43:17 2020               precision    recall  f1-score   support

 concurrency       0.60      0.82      0.69        22
      memory       0.92      0.67      0.77        33
    semantic       0.65      0.68      0.67        19

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.71        74
weighted avg       0.75      0.72      0.72        74

Tue Jul 28 19:43:17 2020 at classifier: RFC
Tue Jul 28 19:43:46 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.04
Tue Jul 28 19:43:46 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.05
Tue Jul 28 19:43:46 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 19:43:46 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.05
Tue Jul 28 19:43:46 2020 Best:
Tue Jul 28 19:43:46 2020 index: 0
Tue Jul 28 19:43:46 2020 score: 0.576271186440678
Tue Jul 28 19:43:46 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:43:46 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 19:43:46 2020               precision    recall  f1-score   support

 concurrency       0.64      0.64      0.64        22
      memory       1.00      0.27      0.43        33
    semantic       0.40      0.89      0.55        19

    accuracy                           0.54        74
   macro avg       0.68      0.60      0.54        74
weighted avg       0.74      0.54      0.52        74

Tue Jul 28 19:43:46 2020 at classifier: LRC
Tue Jul 28 19:48:10 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:48:10 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:48:10 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:48:10 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:48:10 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:48:10 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:48:10 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:48:10 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:48:10 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:48:10 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:48:10 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:48:10 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:48:10 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:48:10 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 19:48:10 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:48:10 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:48:10 2020 Best:
Tue Jul 28 19:48:10 2020 index: 9
Tue Jul 28 19:48:10 2020 score: 0.7322033898305085
Tue Jul 28 19:48:10 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:48:10 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 19:48:10 2020               precision    recall  f1-score   support

 concurrency       0.65      0.77      0.71        22
      memory       0.79      0.70      0.74        33
    semantic       0.68      0.68      0.68        19

    accuracy                           0.72        74
   macro avg       0.71      0.72      0.71        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 19:48:10 2020 at iteration: 71
Tue Jul 28 19:48:10 2020 n_samples: 369
Tue Jul 28 19:48:10 2020 at classifier: MNB
Tue Jul 28 19:48:51 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:48:51 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 19:48:51 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:48:51 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:48:51 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 19:48:51 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 19:48:51 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:48:51 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 19:48:51 2020 Best:
Tue Jul 28 19:48:51 2020 index: 2
Tue Jul 28 19:48:51 2020 score: 0.7152542372881356
Tue Jul 28 19:48:51 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:48:51 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 19:48:51 2020               precision    recall  f1-score   support

 concurrency       0.52      0.94      0.67        18
      memory       0.62      0.52      0.57        25
    semantic       0.85      0.55      0.67        31

    accuracy                           0.64        74
   macro avg       0.66      0.67      0.63        74
weighted avg       0.69      0.64      0.63        74

Tue Jul 28 19:48:51 2020 at classifier: LSVC
Tue Jul 28 19:49:13 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:49:13 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 19:49:13 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:49:13 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:49:13 2020 Best:
Tue Jul 28 19:49:13 2020 index: 1
Tue Jul 28 19:49:13 2020 score: 0.7254237288135592
Tue Jul 28 19:49:13 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:49:13 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:49:14 2020               precision    recall  f1-score   support

 concurrency       0.65      0.94      0.77        18
      memory       0.88      0.60      0.71        25
    semantic       0.84      0.84      0.84        31

    accuracy                           0.78        74
   macro avg       0.79      0.79      0.78        74
weighted avg       0.81      0.78      0.78        74

Tue Jul 28 19:49:14 2020 at classifier: SGDC
Tue Jul 28 19:49:35 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.05
Tue Jul 28 19:49:35 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.04
Tue Jul 28 19:49:35 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:49:35 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 19:49:35 2020 Best:
Tue Jul 28 19:49:35 2020 index: 2
Tue Jul 28 19:49:35 2020 score: 0.7016949152542373
Tue Jul 28 19:49:35 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:49:35 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:49:35 2020               precision    recall  f1-score   support

 concurrency       0.52      0.94      0.67        18
      memory       0.85      0.44      0.58        25
    semantic       0.86      0.77      0.81        31

    accuracy                           0.70        74
   macro avg       0.74      0.72      0.69        74
weighted avg       0.77      0.70      0.70        74

Tue Jul 28 19:49:35 2020 at classifier: RFC
Tue Jul 28 19:50:02 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 19:50:02 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 19:50:02 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 19:50:02 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.10
Tue Jul 28 19:50:02 2020 Best:
Tue Jul 28 19:50:02 2020 index: 0
Tue Jul 28 19:50:02 2020 score: 0.6983050847457627
Tue Jul 28 19:50:02 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:50:02 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 19:50:02 2020               precision    recall  f1-score   support

 concurrency       0.52      0.83      0.64        18
      memory       1.00      0.44      0.61        25
    semantic       0.82      0.90      0.86        31

    accuracy                           0.73        74
   macro avg       0.78      0.73      0.70        74
weighted avg       0.81      0.73      0.72        74

Tue Jul 28 19:50:02 2020 at classifier: LRC
Tue Jul 28 19:54:02 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:54:02 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:54:02 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:54:02 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:54:02 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 19:54:02 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:54:02 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 19:54:02 2020 Best:
Tue Jul 28 19:54:02 2020 index: 1
Tue Jul 28 19:54:02 2020 score: 0.7186440677966102
Tue Jul 28 19:54:02 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:54:02 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 19:54:02 2020               precision    recall  f1-score   support

 concurrency       0.64      0.89      0.74        18
      memory       0.87      0.52      0.65        25
    semantic       0.76      0.84      0.80        31

    accuracy                           0.74        74
   macro avg       0.76      0.75      0.73        74
weighted avg       0.77      0.74      0.74        74

Tue Jul 28 19:54:02 2020 at iteration: 72
Tue Jul 28 19:54:02 2020 n_samples: 369
Tue Jul 28 19:54:02 2020 at classifier: MNB
Tue Jul 28 19:54:48 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:54:48 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:54:48 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 19:54:48 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:54:48 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 19:54:48 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 19:54:48 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 19:54:48 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:54:48 2020 Best:
Tue Jul 28 19:54:48 2020 index: 3
Tue Jul 28 19:54:48 2020 score: 0.7186440677966102
Tue Jul 28 19:54:48 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:54:48 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 19:54:48 2020               precision    recall  f1-score   support

 concurrency       0.64      0.73      0.68        22
      memory       0.70      0.73      0.72        26
    semantic       0.68      0.58      0.62        26

    accuracy                           0.68        74
   macro avg       0.68      0.68      0.67        74
weighted avg       0.68      0.68      0.67        74

Tue Jul 28 19:54:48 2020 at classifier: LSVC
Tue Jul 28 19:55:11 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:55:11 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:55:11 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 19:55:11 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 19:55:11 2020 Best:
Tue Jul 28 19:55:11 2020 index: 0
Tue Jul 28 19:55:11 2020 score: 0.7288135593220338
Tue Jul 28 19:55:11 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:55:11 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 19:55:11 2020               precision    recall  f1-score   support

 concurrency       0.68      0.68      0.68        22
      memory       0.76      0.62      0.68        26
    semantic       0.65      0.77      0.70        26

    accuracy                           0.69        74
   macro avg       0.70      0.69      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 19:55:11 2020 at classifier: SGDC
Tue Jul 28 19:55:35 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.03
Tue Jul 28 19:55:35 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 19:55:35 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 19:55:35 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 19:55:35 2020 Best:
Tue Jul 28 19:55:35 2020 index: 3
Tue Jul 28 19:55:35 2020 score: 0.728813559322034
Tue Jul 28 19:55:35 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:55:35 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 19:55:36 2020               precision    recall  f1-score   support

 concurrency       0.62      0.68      0.65        22
      memory       0.84      0.62      0.71        26
    semantic       0.61      0.73      0.67        26

    accuracy                           0.68        74
   macro avg       0.69      0.68      0.68        74
weighted avg       0.70      0.68      0.68        74

Tue Jul 28 19:55:36 2020 at classifier: RFC
Tue Jul 28 19:56:04 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 19:56:04 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.09
Tue Jul 28 19:56:04 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 19:56:04 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.08
Tue Jul 28 19:56:04 2020 Best:
Tue Jul 28 19:56:04 2020 index: 0
Tue Jul 28 19:56:04 2020 score: 0.6779661016949152
Tue Jul 28 19:56:04 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 19:56:04 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 19:56:04 2020               precision    recall  f1-score   support

 concurrency       0.76      0.59      0.67        22
      memory       0.87      0.50      0.63        26
    semantic       0.55      0.88      0.68        26

    accuracy                           0.66        74
   macro avg       0.73      0.66      0.66        74
weighted avg       0.72      0.66      0.66        74

Tue Jul 28 19:56:04 2020 at classifier: LRC
Tue Jul 28 20:00:18 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:00:18 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:00:18 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:00:18 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:00:18 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:00:18 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:00:18 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:00:18 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:00:18 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:00:18 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:00:18 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:00:18 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:00:18 2020 Best:
Tue Jul 28 20:00:18 2020 index: 15
Tue Jul 28 20:00:18 2020 score: 0.7322033898305085
Tue Jul 28 20:00:18 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:00:18 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 20:00:19 2020               precision    recall  f1-score   support

 concurrency       0.70      0.64      0.67        22
      memory       0.73      0.62      0.67        26
    semantic       0.62      0.77      0.69        26

    accuracy                           0.68        74
   macro avg       0.68      0.67      0.67        74
weighted avg       0.68      0.68      0.67        74

Tue Jul 28 20:00:19 2020 at iteration: 73
Tue Jul 28 20:00:19 2020 n_samples: 369
Tue Jul 28 20:00:19 2020 at classifier: MNB
Tue Jul 28 20:01:03 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:01:03 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 20:01:03 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 20:01:03 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 20:01:03 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 20:01:03 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.07
Tue Jul 28 20:01:03 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.07
Tue Jul 28 20:01:03 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 20:01:03 2020 Best:
Tue Jul 28 20:01:03 2020 index: 0
Tue Jul 28 20:01:03 2020 score: 0.6711864406779661
Tue Jul 28 20:01:03 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:01:03 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 20:01:03 2020               precision    recall  f1-score   support

 concurrency       0.85      0.85      0.85        26
      memory       0.61      0.89      0.72        19
    semantic       0.90      0.62      0.73        29

    accuracy                           0.77        74
   macro avg       0.78      0.79      0.77        74
weighted avg       0.81      0.77      0.77        74

Tue Jul 28 20:01:03 2020 at classifier: LSVC
Tue Jul 28 20:01:26 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:01:26 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:01:26 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:01:26 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:01:26 2020 Best:
Tue Jul 28 20:01:26 2020 index: 0
Tue Jul 28 20:01:26 2020 score: 0.7152542372881354
Tue Jul 28 20:01:26 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:01:26 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:01:26 2020               precision    recall  f1-score   support

 concurrency       0.78      0.81      0.79        26
      memory       0.80      0.84      0.82        19
    semantic       0.85      0.79      0.82        29

    accuracy                           0.81        74
   macro avg       0.81      0.81      0.81        74
weighted avg       0.81      0.81      0.81        74

Tue Jul 28 20:01:26 2020 at classifier: SGDC
Tue Jul 28 20:01:50 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.03
Tue Jul 28 20:01:50 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.03
Tue Jul 28 20:01:50 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:01:50 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 20:01:50 2020 Best:
Tue Jul 28 20:01:50 2020 index: 2
Tue Jul 28 20:01:50 2020 score: 0.7050847457627117
Tue Jul 28 20:01:50 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:01:50 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:01:50 2020               precision    recall  f1-score   support

 concurrency       0.70      0.73      0.72        26
      memory       0.74      0.74      0.74        19
    semantic       0.75      0.72      0.74        29

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 20:01:50 2020 at classifier: RFC
Tue Jul 28 20:02:19 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 20:02:19 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 20:02:19 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 20:02:19 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 20:02:19 2020 Best:
Tue Jul 28 20:02:19 2020 index: 1
Tue Jul 28 20:02:19 2020 score: 0.6305084745762712
Tue Jul 28 20:02:19 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:02:19 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:02:20 2020               precision    recall  f1-score   support

 concurrency       0.81      0.50      0.62        26
      memory       0.67      0.84      0.74        19
    semantic       0.59      0.69      0.63        29

    accuracy                           0.66        74
   macro avg       0.69      0.68      0.67        74
weighted avg       0.69      0.66      0.66        74

Tue Jul 28 20:02:20 2020 at classifier: LRC
Tue Jul 28 20:06:31 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:06:31 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:06:31 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:06:31 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 20:06:31 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:06:31 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:06:31 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:06:31 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:06:31 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:06:31 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:06:31 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:06:31 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:06:31 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:06:31 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:06:31 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:06:31 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:06:31 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:06:31 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:06:31 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:06:31 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:06:31 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:06:31 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:06:31 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:06:31 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:06:31 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:06:31 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:06:31 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:06:31 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:06:31 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:06:31 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:06:31 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:06:31 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:06:31 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:06:31 2020 Best:
Tue Jul 28 20:06:31 2020 index: 26
Tue Jul 28 20:06:31 2020 score: 0.711864406779661
Tue Jul 28 20:06:31 2020 params: {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:06:31 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='sag'))])
Tue Jul 28 20:06:31 2020               precision    recall  f1-score   support

 concurrency       0.78      0.69      0.73        26
      memory       0.70      0.84      0.76        19
    semantic       0.79      0.76      0.77        29

    accuracy                           0.76        74
   macro avg       0.75      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 20:06:31 2020 at iteration: 74
Tue Jul 28 20:06:31 2020 n_samples: 369
Tue Jul 28 20:06:31 2020 at classifier: MNB
Tue Jul 28 20:07:23 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:07:23 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:07:23 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:07:23 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:07:23 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:07:23 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:07:23 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:07:23 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:07:23 2020 Best:
Tue Jul 28 20:07:23 2020 index: 1
Tue Jul 28 20:07:23 2020 score: 0.6949152542372881
Tue Jul 28 20:07:23 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:07:23 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 20:07:23 2020               precision    recall  f1-score   support

 concurrency       0.69      0.95      0.80        21
      memory       0.89      0.57      0.69        30
    semantic       0.65      0.74      0.69        23

    accuracy                           0.73        74
   macro avg       0.75      0.75      0.73        74
weighted avg       0.76      0.73      0.72        74

Tue Jul 28 20:07:23 2020 at classifier: LSVC
Tue Jul 28 20:07:49 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 20:07:49 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:07:49 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:07:49 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:07:49 2020 Best:
Tue Jul 28 20:07:49 2020 index: 0
Tue Jul 28 20:07:49 2020 score: 0.7355932203389831
Tue Jul 28 20:07:49 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:07:49 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:07:49 2020               precision    recall  f1-score   support

 concurrency       0.67      0.76      0.71        21
      memory       1.00      0.47      0.64        30
    semantic       0.56      0.87      0.68        23

    accuracy                           0.68        74
   macro avg       0.74      0.70      0.68        74
weighted avg       0.77      0.68      0.67        74

Tue Jul 28 20:07:49 2020 at classifier: SGDC
Tue Jul 28 20:08:15 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.04
Tue Jul 28 20:08:15 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.06
Tue Jul 28 20:08:15 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:08:15 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:08:15 2020 Best:
Tue Jul 28 20:08:15 2020 index: 2
Tue Jul 28 20:08:15 2020 score: 0.7050847457627119
Tue Jul 28 20:08:15 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:08:15 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:08:15 2020               precision    recall  f1-score   support

 concurrency       0.60      0.71      0.65        21
      memory       1.00      0.43      0.60        30
    semantic       0.53      0.83      0.64        23

    accuracy                           0.64        74
   macro avg       0.71      0.66      0.63        74
weighted avg       0.74      0.64      0.63        74

Tue Jul 28 20:08:15 2020 at classifier: RFC
Tue Jul 28 20:08:47 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.08
Tue Jul 28 20:08:47 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.06
Tue Jul 28 20:08:47 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.05
Tue Jul 28 20:08:47 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.05
Tue Jul 28 20:08:47 2020 Best:
Tue Jul 28 20:08:47 2020 index: 0
Tue Jul 28 20:08:47 2020 score: 0.6203389830508474
Tue Jul 28 20:08:47 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:08:47 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:08:47 2020               precision    recall  f1-score   support

 concurrency       0.56      0.48      0.51        21
      memory       1.00      0.30      0.46        30
    semantic       0.45      0.91      0.60        23

    accuracy                           0.54        74
   macro avg       0.67      0.56      0.52        74
weighted avg       0.70      0.54      0.52        74

Tue Jul 28 20:08:47 2020 at classifier: LRC
Tue Jul 28 20:13:31 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:13:31 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:13:31 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:13:31 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:13:31 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 20:13:31 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:13:31 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:13:31 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:13:31 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:13:31 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:13:31 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 20:13:31 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:13:31 2020 Best:
Tue Jul 28 20:13:31 2020 index: 4
Tue Jul 28 20:13:31 2020 score: 0.7152542372881355
Tue Jul 28 20:13:31 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:13:31 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 20:13:31 2020               precision    recall  f1-score   support

 concurrency       0.67      0.67      0.67        21
      memory       1.00      0.50      0.67        30
    semantic       0.53      0.87      0.66        23

    accuracy                           0.66        74
   macro avg       0.73      0.68      0.66        74
weighted avg       0.76      0.66      0.66        74

Tue Jul 28 20:13:31 2020 at iteration: 75
Tue Jul 28 20:13:31 2020 n_samples: 369
Tue Jul 28 20:13:31 2020 at classifier: MNB
Tue Jul 28 20:14:11 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 20:14:11 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:14:11 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 20:14:11 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:14:11 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:14:11 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:14:11 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:14:11 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:14:11 2020 Best:
Tue Jul 28 20:14:11 2020 index: 5
Tue Jul 28 20:14:11 2020 score: 0.6983050847457626
Tue Jul 28 20:14:11 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:14:11 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 20:14:12 2020               precision    recall  f1-score   support

 concurrency       0.72      0.88      0.79        24
      memory       0.81      0.68      0.74        25
    semantic       0.75      0.72      0.73        25

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.75        74

Tue Jul 28 20:14:12 2020 at classifier: LSVC
Tue Jul 28 20:14:32 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:14:32 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:14:32 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:14:32 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:14:32 2020 Best:
Tue Jul 28 20:14:32 2020 index: 0
Tue Jul 28 20:14:32 2020 score: 0.6983050847457626
Tue Jul 28 20:14:32 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:14:32 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:14:33 2020               precision    recall  f1-score   support

 concurrency       0.72      0.88      0.79        24
      memory       0.81      0.68      0.74        25
    semantic       0.75      0.72      0.73        25

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.75        74

Tue Jul 28 20:14:33 2020 at classifier: SGDC
Tue Jul 28 20:14:54 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.05
Tue Jul 28 20:14:54 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.05
Tue Jul 28 20:14:54 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:14:54 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:14:54 2020 Best:
Tue Jul 28 20:14:54 2020 index: 3
Tue Jul 28 20:14:54 2020 score: 0.6949152542372881
Tue Jul 28 20:14:54 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:14:54 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:14:54 2020               precision    recall  f1-score   support

 concurrency       0.72      0.88      0.79        24
      memory       0.90      0.72      0.80        25
    semantic       0.76      0.76      0.76        25

    accuracy                           0.78        74
   macro avg       0.79      0.79      0.78        74
weighted avg       0.80      0.78      0.78        74

Tue Jul 28 20:14:54 2020 at classifier: RFC
Tue Jul 28 20:15:20 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.08
Tue Jul 28 20:15:20 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.07
Tue Jul 28 20:15:20 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 20:15:20 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.05
Tue Jul 28 20:15:20 2020 Best:
Tue Jul 28 20:15:20 2020 index: 0
Tue Jul 28 20:15:20 2020 score: 0.6169491525423728
Tue Jul 28 20:15:20 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:15:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:15:20 2020               precision    recall  f1-score   support

 concurrency       0.68      0.62      0.65        24
      memory       0.85      0.44      0.58        25
    semantic       0.54      0.84      0.66        25

    accuracy                           0.64        74
   macro avg       0.69      0.63      0.63        74
weighted avg       0.69      0.64      0.63        74

Tue Jul 28 20:15:20 2020 at classifier: LRC
Tue Jul 28 20:19:01 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:19:01 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:01 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:01 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:19:01 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:01 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:01 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:19:01 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:01 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:19:01 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:01 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:01 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:19:01 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:01 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:01 2020 Best:
Tue Jul 28 20:19:01 2020 index: 16
Tue Jul 28 20:19:01 2020 score: 0.7016949152542372
Tue Jul 28 20:19:01 2020 params: {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:19:01 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='sag'))])
Tue Jul 28 20:19:01 2020               precision    recall  f1-score   support

 concurrency       0.81      0.88      0.84        24
      memory       0.86      0.72      0.78        25
    semantic       0.74      0.80      0.77        25

    accuracy                           0.80        74
   macro avg       0.80      0.80      0.80        74
weighted avg       0.80      0.80      0.80        74

Tue Jul 28 20:19:02 2020 at iteration: 76
Tue Jul 28 20:19:02 2020 n_samples: 369
Tue Jul 28 20:19:02 2020 at classifier: MNB
Tue Jul 28 20:19:45 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:19:45 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:19:45 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:19:45 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 20:19:45 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:19:45 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:19:45 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:19:45 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:19:45 2020 Best:
Tue Jul 28 20:19:45 2020 index: 0
Tue Jul 28 20:19:45 2020 score: 0.7050847457627117
Tue Jul 28 20:19:45 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:19:45 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 20:19:45 2020               precision    recall  f1-score   support

 concurrency       0.73      0.83      0.78        23
      memory       0.58      0.74      0.65        19
    semantic       0.83      0.62      0.71        32

    accuracy                           0.72        74
   macro avg       0.72      0.73      0.71        74
weighted avg       0.74      0.72      0.72        74

Tue Jul 28 20:19:45 2020 at classifier: LSVC
Tue Jul 28 20:20:07 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:20:07 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 20:20:07 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:20:07 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:20:07 2020 Best:
Tue Jul 28 20:20:07 2020 index: 1
Tue Jul 28 20:20:07 2020 score: 0.7389830508474576
Tue Jul 28 20:20:07 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:20:07 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:20:08 2020               precision    recall  f1-score   support

 concurrency       0.75      0.78      0.77        23
      memory       0.64      0.74      0.68        19
    semantic       0.86      0.75      0.80        32

    accuracy                           0.76        74
   macro avg       0.75      0.76      0.75        74
weighted avg       0.77      0.76      0.76        74

Tue Jul 28 20:20:08 2020 at classifier: SGDC
Tue Jul 28 20:20:30 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 20:20:30 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.05
Tue Jul 28 20:20:30 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 20:20:30 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 20:20:30 2020 Best:
Tue Jul 28 20:20:30 2020 index: 3
Tue Jul 28 20:20:30 2020 score: 0.7389830508474576
Tue Jul 28 20:20:30 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:20:30 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:20:30 2020               precision    recall  f1-score   support

 concurrency       0.67      0.78      0.72        23
      memory       0.67      0.74      0.70        19
    semantic       0.85      0.69      0.76        32

    accuracy                           0.73        74
   macro avg       0.73      0.74      0.73        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 20:20:30 2020 at classifier: RFC
Tue Jul 28 20:20:58 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.10
Tue Jul 28 20:20:58 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.07
Tue Jul 28 20:20:58 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.08
Tue Jul 28 20:20:58 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.08
Tue Jul 28 20:20:58 2020 Best:
Tue Jul 28 20:20:58 2020 index: 0
Tue Jul 28 20:20:58 2020 score: 0.6610169491525424
Tue Jul 28 20:20:58 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:20:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:20:58 2020               precision    recall  f1-score   support

 concurrency       0.71      0.65      0.68        23
      memory       0.37      0.74      0.49        19
    semantic       0.80      0.38      0.51        32

    accuracy                           0.55        74
   macro avg       0.63      0.59      0.56        74
weighted avg       0.66      0.55      0.56        74

Tue Jul 28 20:20:58 2020 at classifier: LRC
Tue Jul 28 20:25:02 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 20:25:02 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 20:25:02 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:25:02 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:25:02 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 20:25:02 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.02
Tue Jul 28 20:25:02 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:25:02 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 20:25:02 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:25:02 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:25:02 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:25:02 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 20:25:02 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:25:02 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:25:02 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:25:02 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 20:25:02 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 20:25:02 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:25:02 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:25:02 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 20:25:02 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:25:02 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 20:25:02 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:25:02 2020 Best:
Tue Jul 28 20:25:02 2020 index: 19
Tue Jul 28 20:25:02 2020 score: 0.7322033898305085
Tue Jul 28 20:25:02 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:25:02 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 20:25:02 2020               precision    recall  f1-score   support

 concurrency       0.72      0.78      0.75        23
      memory       0.59      0.68      0.63        19
    semantic       0.85      0.72      0.78        32

    accuracy                           0.73        74
   macro avg       0.72      0.73      0.72        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 20:25:02 2020 at iteration: 77
Tue Jul 28 20:25:02 2020 n_samples: 369
Tue Jul 28 20:25:02 2020 at classifier: MNB
Tue Jul 28 20:25:47 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:25:47 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:25:47 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:25:47 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:25:47 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:25:47 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:25:47 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:25:47 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:25:47 2020 Best:
Tue Jul 28 20:25:47 2020 index: 7
Tue Jul 28 20:25:47 2020 score: 0.7050847457627119
Tue Jul 28 20:25:47 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:25:47 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 20:25:48 2020               precision    recall  f1-score   support

 concurrency       0.68      0.70      0.69        30
      memory       0.73      0.83      0.78        23
    semantic       0.71      0.57      0.63        21

    accuracy                           0.70        74
   macro avg       0.70      0.70      0.70        74
weighted avg       0.70      0.70      0.70        74

Tue Jul 28 20:25:48 2020 at classifier: LSVC
Tue Jul 28 20:26:11 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:26:11 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 20:26:11 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 20:26:11 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 20:26:11 2020 Best:
Tue Jul 28 20:26:11 2020 index: 1
Tue Jul 28 20:26:11 2020 score: 0.7016949152542373
Tue Jul 28 20:26:11 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:26:11 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:26:11 2020               precision    recall  f1-score   support

 concurrency       0.69      0.60      0.64        30
      memory       0.75      0.78      0.77        23
    semantic       0.67      0.76      0.71        21

    accuracy                           0.70        74
   macro avg       0.70      0.71      0.71        74
weighted avg       0.70      0.70      0.70        74

Tue Jul 28 20:26:11 2020 at classifier: SGDC
Tue Jul 28 20:26:33 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 20:26:33 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.07
Tue Jul 28 20:26:33 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 20:26:33 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:26:33 2020 Best:
Tue Jul 28 20:26:33 2020 index: 2
Tue Jul 28 20:26:33 2020 score: 0.7186440677966102
Tue Jul 28 20:26:33 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:26:33 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:26:33 2020               precision    recall  f1-score   support

 concurrency       0.68      0.57      0.62        30
      memory       0.79      0.65      0.71        23
    semantic       0.53      0.76      0.63        21

    accuracy                           0.65        74
   macro avg       0.67      0.66      0.65        74
weighted avg       0.67      0.65      0.65        74

Tue Jul 28 20:26:33 2020 at classifier: RFC
Tue Jul 28 20:27:02 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.05
Tue Jul 28 20:27:02 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.03
Tue Jul 28 20:27:02 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.05
Tue Jul 28 20:27:02 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.04
Tue Jul 28 20:27:02 2020 Best:
Tue Jul 28 20:27:02 2020 index: 0
Tue Jul 28 20:27:02 2020 score: 0.5932203389830508
Tue Jul 28 20:27:02 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:27:02 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:27:02 2020               precision    recall  f1-score   support

 concurrency       0.83      0.50      0.62        30
      memory       0.94      0.70      0.80        23
    semantic       0.51      0.95      0.67        21

    accuracy                           0.69        74
   macro avg       0.76      0.72      0.70        74
weighted avg       0.78      0.69      0.69        74

Tue Jul 28 20:27:02 2020 at classifier: LRC
Tue Jul 28 20:31:13 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 20:31:13 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 20:31:13 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 20:31:13 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 20:31:13 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 20:31:13 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 20:31:13 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 20:31:13 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 20:31:13 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 20:31:13 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 20:31:13 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 20:31:13 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 20:31:13 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 20:31:13 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 20:31:13 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 20:31:13 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 20:31:13 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:31:13 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 20:31:13 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 20:31:13 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 20:31:13 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 20:31:13 2020 Best:
Tue Jul 28 20:31:13 2020 index: 0
Tue Jul 28 20:31:13 2020 score: 0.7084745762711864
Tue Jul 28 20:31:13 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:31:13 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 20:31:13 2020               precision    recall  f1-score   support

 concurrency       0.68      0.57      0.62        30
      memory       0.79      0.65      0.71        23
    semantic       0.53      0.76      0.63        21

    accuracy                           0.65        74
   macro avg       0.67      0.66      0.65        74
weighted avg       0.67      0.65      0.65        74

Tue Jul 28 20:31:13 2020 at iteration: 78
Tue Jul 28 20:31:13 2020 n_samples: 369
Tue Jul 28 20:31:13 2020 at classifier: MNB
Tue Jul 28 20:32:01 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:32:01 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 20:32:01 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:32:01 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:32:01 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:32:01 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 20:32:01 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 20:32:01 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 20:32:01 2020 Best:
Tue Jul 28 20:32:01 2020 index: 7
Tue Jul 28 20:32:01 2020 score: 0.6983050847457627
Tue Jul 28 20:32:01 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:32:01 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 20:32:01 2020               precision    recall  f1-score   support

 concurrency       0.67      0.75      0.71        24
      memory       0.59      0.84      0.70        19
    semantic       0.80      0.52      0.63        31

    accuracy                           0.68        74
   macro avg       0.69      0.70      0.68        74
weighted avg       0.70      0.68      0.67        74

Tue Jul 28 20:32:01 2020 at classifier: LSVC
Tue Jul 28 20:32:26 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:32:26 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.06
Tue Jul 28 20:32:26 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:32:26 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:32:26 2020 Best:
Tue Jul 28 20:32:26 2020 index: 1
Tue Jul 28 20:32:26 2020 score: 0.7457627118644068
Tue Jul 28 20:32:26 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:32:26 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:32:26 2020               precision    recall  f1-score   support

 concurrency       0.66      0.79      0.72        24
      memory       0.76      0.68      0.72        19
    semantic       0.71      0.65      0.68        31

    accuracy                           0.70        74
   macro avg       0.71      0.71      0.71        74
weighted avg       0.71      0.70      0.70        74

Tue Jul 28 20:32:26 2020 at classifier: SGDC
Tue Jul 28 20:32:50 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 20:32:50 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.03
Tue Jul 28 20:32:50 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:32:50 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:32:50 2020 Best:
Tue Jul 28 20:32:50 2020 index: 3
Tue Jul 28 20:32:50 2020 score: 0.7220338983050847
Tue Jul 28 20:32:50 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:32:50 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:32:51 2020               precision    recall  f1-score   support

 concurrency       0.64      0.75      0.69        24
      memory       0.67      0.74      0.70        19
    semantic       0.72      0.58      0.64        31

    accuracy                           0.68        74
   macro avg       0.68      0.69      0.68        74
weighted avg       0.68      0.68      0.67        74

Tue Jul 28 20:32:51 2020 at classifier: RFC
Tue Jul 28 20:33:20 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:33:20 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.03
Tue Jul 28 20:33:20 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:33:20 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.05
Tue Jul 28 20:33:20 2020 Best:
Tue Jul 28 20:33:20 2020 index: 0
Tue Jul 28 20:33:20 2020 score: 0.7322033898305085
Tue Jul 28 20:33:20 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:33:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:33:20 2020               precision    recall  f1-score   support

 concurrency       0.79      0.62      0.70        24
      memory       0.45      0.68      0.54        19
    semantic       0.69      0.58      0.63        31

    accuracy                           0.62        74
   macro avg       0.64      0.63      0.62        74
weighted avg       0.66      0.62      0.63        74

Tue Jul 28 20:33:20 2020 at classifier: LRC
Tue Jul 28 20:37:41 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 20:37:41 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:37:41 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 20:37:41 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:37:41 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 20:37:41 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 20:37:41 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 20:37:41 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:37:41 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 20:37:41 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.08
Tue Jul 28 20:37:41 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 20:37:41 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:37:41 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 20:37:41 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:37:41 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 20:37:41 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.07
Tue Jul 28 20:37:41 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:37:41 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:37:41 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 20:37:41 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:37:41 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:37:41 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:37:41 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 20:37:41 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:37:41 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:37:41 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 20:37:41 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:37:41 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:37:41 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:37:41 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:37:41 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:37:41 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:37:41 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 20:37:41 2020 Best:
Tue Jul 28 20:37:41 2020 index: 9
Tue Jul 28 20:37:41 2020 score: 0.7389830508474576
Tue Jul 28 20:37:41 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:37:41 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 20:37:41 2020               precision    recall  f1-score   support

 concurrency       0.65      0.71      0.68        24
      memory       0.80      0.63      0.71        19
    semantic       0.67      0.71      0.69        31

    accuracy                           0.69        74
   macro avg       0.71      0.68      0.69        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 20:37:41 2020 at iteration: 79
Tue Jul 28 20:37:41 2020 n_samples: 369
Tue Jul 28 20:37:41 2020 at classifier: MNB
Tue Jul 28 20:38:30 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 20:38:30 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 20:38:30 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 20:38:30 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 20:38:30 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:38:30 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 20:38:30 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:38:30 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:38:30 2020 Best:
Tue Jul 28 20:38:30 2020 index: 5
Tue Jul 28 20:38:30 2020 score: 0.7389830508474576
Tue Jul 28 20:38:30 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:38:30 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 20:38:30 2020               precision    recall  f1-score   support

 concurrency       0.81      0.75      0.78        28
      memory       0.72      0.78      0.75        23
    semantic       0.65      0.65      0.65        23

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 20:38:30 2020 at classifier: LSVC
Tue Jul 28 20:38:55 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:38:55 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:38:55 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:38:55 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 20:38:55 2020 Best:
Tue Jul 28 20:38:55 2020 index: 3
Tue Jul 28 20:38:55 2020 score: 0.7322033898305084
Tue Jul 28 20:38:55 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:38:55 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 20:38:55 2020               precision    recall  f1-score   support

 concurrency       0.78      0.75      0.76        28
      memory       0.85      0.74      0.79        23
    semantic       0.70      0.83      0.76        23

    accuracy                           0.77        74
   macro avg       0.78      0.77      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 20:38:55 2020 at classifier: SGDC
Tue Jul 28 20:39:21 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.10
Tue Jul 28 20:39:21 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.09
Tue Jul 28 20:39:21 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:39:21 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:39:21 2020 Best:
Tue Jul 28 20:39:21 2020 index: 3
Tue Jul 28 20:39:21 2020 score: 0.7084745762711865
Tue Jul 28 20:39:21 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:39:21 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:39:21 2020               precision    recall  f1-score   support

 concurrency       0.73      0.68      0.70        28
      memory       0.89      0.70      0.78        23
    semantic       0.57      0.74      0.64        23

    accuracy                           0.70        74
   macro avg       0.73      0.70      0.71        74
weighted avg       0.73      0.70      0.71        74

Tue Jul 28 20:39:21 2020 at classifier: RFC
Tue Jul 28 20:39:51 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 20:39:51 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.05
Tue Jul 28 20:39:51 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.05
Tue Jul 28 20:39:51 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.06
Tue Jul 28 20:39:51 2020 Best:
Tue Jul 28 20:39:51 2020 index: 0
Tue Jul 28 20:39:51 2020 score: 0.6203389830508474
Tue Jul 28 20:39:51 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:39:51 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:39:51 2020               precision    recall  f1-score   support

 concurrency       0.90      0.32      0.47        28
      memory       0.91      0.43      0.59        23
    semantic       0.42      0.96      0.58        23

    accuracy                           0.55        74
   macro avg       0.74      0.57      0.55        74
weighted avg       0.75      0.55      0.54        74

Tue Jul 28 20:39:51 2020 at classifier: LRC
Tue Jul 28 20:44:23 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 20:44:23 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:44:23 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 20:44:23 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 20:44:23 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 20:44:23 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 20:44:23 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 20:44:23 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 20:44:23 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 20:44:23 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 20:44:23 2020 Best:
Tue Jul 28 20:44:23 2020 index: 0
Tue Jul 28 20:44:23 2020 score: 0.7220338983050847
Tue Jul 28 20:44:23 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:44:23 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 20:44:23 2020               precision    recall  f1-score   support

 concurrency       0.74      0.71      0.73        28
      memory       0.82      0.61      0.70        23
    semantic       0.63      0.83      0.72        23

    accuracy                           0.72        74
   macro avg       0.73      0.72      0.71        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 20:44:23 2020 at iteration: 80
Tue Jul 28 20:44:23 2020 n_samples: 369
Tue Jul 28 20:44:23 2020 at classifier: MNB
Tue Jul 28 20:45:05 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:45:05 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:45:05 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:45:05 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:45:05 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:45:05 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:45:05 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 20:45:05 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:45:05 2020 Best:
Tue Jul 28 20:45:05 2020 index: 6
Tue Jul 28 20:45:05 2020 score: 0.6949152542372881
Tue Jul 28 20:45:05 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:45:05 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 20:45:05 2020               precision    recall  f1-score   support

 concurrency       0.72      0.86      0.78        21
      memory       0.73      0.76      0.75        25
    semantic       0.87      0.71      0.78        28

    accuracy                           0.77        74
   macro avg       0.77      0.78      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 20:45:05 2020 at classifier: LSVC
Tue Jul 28 20:45:27 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 20:45:27 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:45:27 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:45:27 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:45:27 2020 Best:
Tue Jul 28 20:45:27 2020 index: 0
Tue Jul 28 20:45:27 2020 score: 0.7220338983050847
Tue Jul 28 20:45:27 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:45:27 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:45:27 2020               precision    recall  f1-score   support

 concurrency       0.75      0.86      0.80        21
      memory       0.83      0.80      0.82        25
    semantic       0.88      0.82      0.85        28

    accuracy                           0.82        74
   macro avg       0.82      0.83      0.82        74
weighted avg       0.83      0.82      0.83        74

Tue Jul 28 20:45:27 2020 at classifier: SGDC
Tue Jul 28 20:45:48 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.07
Tue Jul 28 20:45:48 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.08
Tue Jul 28 20:45:48 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 20:45:48 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:45:48 2020 Best:
Tue Jul 28 20:45:48 2020 index: 2
Tue Jul 28 20:45:48 2020 score: 0.7016949152542373
Tue Jul 28 20:45:48 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:45:48 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:45:48 2020               precision    recall  f1-score   support

 concurrency       0.75      0.86      0.80        21
      memory       0.83      0.80      0.82        25
    semantic       0.88      0.82      0.85        28

    accuracy                           0.82        74
   macro avg       0.82      0.83      0.82        74
weighted avg       0.83      0.82      0.83        74

Tue Jul 28 20:45:48 2020 at classifier: RFC
Tue Jul 28 20:46:16 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 20:46:16 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.07
Tue Jul 28 20:46:16 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 20:46:16 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 20:46:16 2020 Best:
Tue Jul 28 20:46:16 2020 index: 0
Tue Jul 28 20:46:16 2020 score: 0.6576271186440679
Tue Jul 28 20:46:16 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:46:16 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:46:16 2020               precision    recall  f1-score   support

 concurrency       0.62      0.71      0.67        21
      memory       0.89      0.68      0.77        25
    semantic       0.81      0.89      0.85        28

    accuracy                           0.77        74
   macro avg       0.78      0.76      0.76        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 20:46:16 2020 at classifier: LRC
Tue Jul 28 20:50:12 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:50:12 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:50:12 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:50:12 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:50:12 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:50:12 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:50:12 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:50:12 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:50:12 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 20:50:12 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:50:12 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:50:12 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:50:12 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:50:12 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:50:12 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:50:12 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:50:12 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 20:50:12 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:50:12 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:50:12 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:50:12 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:50:12 2020 Best:
Tue Jul 28 20:50:12 2020 index: 14
Tue Jul 28 20:50:12 2020 score: 0.7016949152542373
Tue Jul 28 20:50:12 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:50:12 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 20:50:12 2020               precision    recall  f1-score   support

 concurrency       0.82      0.86      0.84        21
      memory       0.77      0.80      0.78        25
    semantic       0.88      0.82      0.85        28

    accuracy                           0.82        74
   macro avg       0.82      0.83      0.82        74
weighted avg       0.83      0.82      0.82        74

Tue Jul 28 20:50:12 2020 at iteration: 81
Tue Jul 28 20:50:12 2020 n_samples: 369
Tue Jul 28 20:50:12 2020 at classifier: MNB
Tue Jul 28 20:50:56 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:50:56 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 20:50:56 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:50:56 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 20:50:56 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:50:56 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 20:50:56 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 20:50:56 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:50:56 2020 Best:
Tue Jul 28 20:50:56 2020 index: 6
Tue Jul 28 20:50:56 2020 score: 0.7084745762711865
Tue Jul 28 20:50:56 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:50:56 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 20:50:56 2020               precision    recall  f1-score   support

 concurrency       0.69      0.74      0.71        27
      memory       0.77      0.80      0.78        25
    semantic       0.74      0.64      0.68        22

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 20:50:56 2020 at classifier: LSVC
Tue Jul 28 20:51:18 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 20:51:18 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 20:51:18 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 20:51:18 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.08
Tue Jul 28 20:51:18 2020 Best:
Tue Jul 28 20:51:18 2020 index: 0
Tue Jul 28 20:51:18 2020 score: 0.6813559322033897
Tue Jul 28 20:51:18 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:51:18 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 20:51:18 2020               precision    recall  f1-score   support

 concurrency       0.68      0.78      0.72        27
      memory       0.78      0.72      0.75        25
    semantic       0.60      0.55      0.57        22

    accuracy                           0.69        74
   macro avg       0.69      0.68      0.68        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 20:51:18 2020 at classifier: SGDC
Tue Jul 28 20:51:40 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.07
Tue Jul 28 20:51:40 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.07
Tue Jul 28 20:51:40 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:51:40 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:51:40 2020 Best:
Tue Jul 28 20:51:40 2020 index: 2
Tue Jul 28 20:51:40 2020 score: 0.7152542372881355
Tue Jul 28 20:51:40 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:51:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:51:40 2020               precision    recall  f1-score   support

 concurrency       0.68      0.70      0.69        27
      memory       0.90      0.72      0.80        25
    semantic       0.62      0.73      0.67        22

    accuracy                           0.72        74
   macro avg       0.73      0.72      0.72        74
weighted avg       0.73      0.72      0.72        74

Tue Jul 28 20:51:40 2020 at classifier: RFC
Tue Jul 28 20:52:07 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 20:52:07 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.08
Tue Jul 28 20:52:07 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.07
Tue Jul 28 20:52:07 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.07
Tue Jul 28 20:52:07 2020 Best:
Tue Jul 28 20:52:07 2020 index: 0
Tue Jul 28 20:52:07 2020 score: 0.6338983050847458
Tue Jul 28 20:52:07 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:52:07 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:52:08 2020               precision    recall  f1-score   support

 concurrency       0.72      0.48      0.58        27
      memory       1.00      0.48      0.65        25
    semantic       0.41      0.82      0.55        22

    accuracy                           0.58        74
   macro avg       0.71      0.59      0.59        74
weighted avg       0.72      0.58      0.59        74

Tue Jul 28 20:52:08 2020 at classifier: LRC
Tue Jul 28 20:56:12 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:56:12 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:56:12 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:56:12 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 20:56:12 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:56:12 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 20:56:12 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 20:56:12 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 20:56:12 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 20:56:12 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 20:56:12 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 20:56:12 2020 Best:
Tue Jul 28 20:56:12 2020 index: 5
Tue Jul 28 20:56:12 2020 score: 0.6983050847457627
Tue Jul 28 20:56:12 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:56:12 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 20:56:13 2020               precision    recall  f1-score   support

 concurrency       0.64      0.59      0.62        27
      memory       0.82      0.72      0.77        25
    semantic       0.56      0.68      0.61        22

    accuracy                           0.66        74
   macro avg       0.67      0.66      0.66        74
weighted avg       0.68      0.66      0.67        74

Tue Jul 28 20:56:13 2020 at iteration: 82
Tue Jul 28 20:56:13 2020 n_samples: 369
Tue Jul 28 20:56:13 2020 at classifier: MNB
Tue Jul 28 20:56:59 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:56:59 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 20:56:59 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:56:59 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:56:59 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 20:56:59 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:56:59 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 20:56:59 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 20:56:59 2020 Best:
Tue Jul 28 20:56:59 2020 index: 4
Tue Jul 28 20:56:59 2020 score: 0.728813559322034
Tue Jul 28 20:56:59 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:56:59 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 20:56:59 2020               precision    recall  f1-score   support

 concurrency       0.73      0.85      0.79        26
      memory       0.89      0.64      0.74        25
    semantic       0.77      0.87      0.82        23

    accuracy                           0.78        74
   macro avg       0.80      0.79      0.78        74
weighted avg       0.80      0.78      0.78        74

Tue Jul 28 20:56:59 2020 at classifier: LSVC
Tue Jul 28 20:57:23 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 20:57:23 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 20:57:23 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 20:57:23 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 20:57:23 2020 Best:
Tue Jul 28 20:57:23 2020 index: 2
Tue Jul 28 20:57:23 2020 score: 0.728813559322034
Tue Jul 28 20:57:23 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:57:23 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 20:57:23 2020               precision    recall  f1-score   support

 concurrency       0.81      0.81      0.81        26
      memory       0.88      0.60      0.71        25
    semantic       0.68      0.91      0.78        23

    accuracy                           0.77        74
   macro avg       0.79      0.77      0.77        74
weighted avg       0.79      0.77      0.77        74

Tue Jul 28 20:57:23 2020 at classifier: SGDC
Tue Jul 28 20:57:47 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.09
Tue Jul 28 20:57:47 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.08
Tue Jul 28 20:57:47 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 20:57:47 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 20:57:47 2020 Best:
Tue Jul 28 20:57:47 2020 index: 3
Tue Jul 28 20:57:47 2020 score: 0.7016949152542372
Tue Jul 28 20:57:47 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:57:47 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 20:57:47 2020               precision    recall  f1-score   support

 concurrency       0.68      0.81      0.74        26
      memory       1.00      0.52      0.68        25
    semantic       0.63      0.83      0.72        23

    accuracy                           0.72        74
   macro avg       0.77      0.72      0.71        74
weighted avg       0.77      0.72      0.71        74

Tue Jul 28 20:57:47 2020 at classifier: RFC
Tue Jul 28 20:58:16 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 20:58:16 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 20:58:16 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.05
Tue Jul 28 20:58:16 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.05
Tue Jul 28 20:58:16 2020 Best:
Tue Jul 28 20:58:16 2020 index: 0
Tue Jul 28 20:58:16 2020 score: 0.6338983050847459
Tue Jul 28 20:58:16 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 20:58:16 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 20:58:16 2020               precision    recall  f1-score   support

 concurrency       0.80      0.46      0.59        26
      memory       0.92      0.48      0.63        25
    semantic       0.48      0.96      0.64        23

    accuracy                           0.62        74
   macro avg       0.73      0.63      0.62        74
weighted avg       0.74      0.62      0.62        74

Tue Jul 28 20:58:16 2020 at classifier: LRC
Tue Jul 28 21:02:39 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:02:39 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 21:02:39 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:02:39 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:02:39 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:02:39 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:02:39 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:02:39 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 21:02:39 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:02:39 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:02:39 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:02:39 2020 Best:
Tue Jul 28 21:02:39 2020 index: 8
Tue Jul 28 21:02:39 2020 score: 0.7254237288135593
Tue Jul 28 21:02:39 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:02:39 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 21:02:39 2020               precision    recall  f1-score   support

 concurrency       0.77      0.77      0.77        26
      memory       0.88      0.56      0.68        25
    semantic       0.66      0.91      0.76        23

    accuracy                           0.74        74
   macro avg       0.77      0.75      0.74        74
weighted avg       0.77      0.74      0.74        74

Tue Jul 28 21:02:40 2020 at iteration: 83
Tue Jul 28 21:02:40 2020 n_samples: 369
Tue Jul 28 21:02:40 2020 at classifier: MNB
Tue Jul 28 21:03:26 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.01
Tue Jul 28 21:03:26 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:03:26 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:03:26 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:03:26 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:03:26 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:03:26 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 21:03:26 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:03:26 2020 Best:
Tue Jul 28 21:03:26 2020 index: 7
Tue Jul 28 21:03:26 2020 score: 0.7186440677966102
Tue Jul 28 21:03:26 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:03:26 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 21:03:26 2020               precision    recall  f1-score   support

 concurrency       0.70      0.79      0.74        29
      memory       0.68      0.62      0.65        21
    semantic       0.59      0.54      0.57        24

    accuracy                           0.66        74
   macro avg       0.66      0.65      0.65        74
weighted avg       0.66      0.66      0.66        74

Tue Jul 28 21:03:26 2020 at classifier: LSVC
Tue Jul 28 21:03:50 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:03:50 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:03:50 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:03:50 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:03:50 2020 Best:
Tue Jul 28 21:03:50 2020 index: 1
Tue Jul 28 21:03:50 2020 score: 0.7118644067796611
Tue Jul 28 21:03:50 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:03:50 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:03:50 2020               precision    recall  f1-score   support

 concurrency       0.69      0.76      0.72        29
      memory       0.80      0.57      0.67        21
    semantic       0.63      0.71      0.67        24

    accuracy                           0.69        74
   macro avg       0.71      0.68      0.68        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 21:03:50 2020 at classifier: SGDC
Tue Jul 28 21:04:13 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.03
Tue Jul 28 21:04:13 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 21:04:13 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:04:13 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 21:04:13 2020 Best:
Tue Jul 28 21:04:13 2020 index: 3
Tue Jul 28 21:04:13 2020 score: 0.7152542372881355
Tue Jul 28 21:04:13 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:04:13 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:04:14 2020               precision    recall  f1-score   support

 concurrency       0.67      0.76      0.71        29
      memory       0.75      0.57      0.65        21
    semantic       0.64      0.67      0.65        24

    accuracy                           0.68        74
   macro avg       0.69      0.67      0.67        74
weighted avg       0.68      0.68      0.67        74

Tue Jul 28 21:04:14 2020 at classifier: RFC
Tue Jul 28 21:04:42 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.03
Tue Jul 28 21:04:42 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 21:04:42 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 21:04:42 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.02
Tue Jul 28 21:04:42 2020 Best:
Tue Jul 28 21:04:42 2020 index: 0
Tue Jul 28 21:04:42 2020 score: 0.6271186440677966
Tue Jul 28 21:04:42 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:04:42 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 21:04:42 2020               precision    recall  f1-score   support

 concurrency       0.83      0.66      0.73        29
      memory       0.88      0.71      0.79        21
    semantic       0.56      0.79      0.66        24

    accuracy                           0.72        74
   macro avg       0.76      0.72      0.73        74
weighted avg       0.76      0.72      0.72        74

Tue Jul 28 21:04:42 2020 at classifier: LRC
Tue Jul 28 21:08:52 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 21:08:52 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:08:52 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 21:08:52 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:08:52 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 21:08:52 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:08:52 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 21:08:52 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:08:52 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.02
Tue Jul 28 21:08:52 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:08:52 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:08:52 2020 Best:
Tue Jul 28 21:08:52 2020 index: 4
Tue Jul 28 21:08:52 2020 score: 0.7152542372881355
Tue Jul 28 21:08:52 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:08:52 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 21:08:52 2020               precision    recall  f1-score   support

 concurrency       0.66      0.72      0.69        29
      memory       0.85      0.52      0.65        21
    semantic       0.55      0.67      0.60        24

    accuracy                           0.65        74
   macro avg       0.68      0.64      0.65        74
weighted avg       0.68      0.65      0.65        74

Tue Jul 28 21:08:52 2020 at iteration: 84
Tue Jul 28 21:08:52 2020 n_samples: 369
Tue Jul 28 21:08:52 2020 at classifier: MNB
Tue Jul 28 21:09:41 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:09:41 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:09:41 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:09:41 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:09:41 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:09:41 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:09:41 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:09:41 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:09:41 2020 Best:
Tue Jul 28 21:09:41 2020 index: 1
Tue Jul 28 21:09:41 2020 score: 0.7050847457627117
Tue Jul 28 21:09:41 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:09:41 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 21:09:42 2020               precision    recall  f1-score   support

 concurrency       0.84      0.57      0.68        28
      memory       0.59      0.86      0.70        22
    semantic       0.74      0.71      0.72        24

    accuracy                           0.70        74
   macro avg       0.72      0.71      0.70        74
weighted avg       0.73      0.70      0.70        74

Tue Jul 28 21:09:42 2020 at classifier: LSVC
Tue Jul 28 21:10:07 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:10:07 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 21:10:07 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:10:07 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:10:07 2020 Best:
Tue Jul 28 21:10:07 2020 index: 0
Tue Jul 28 21:10:07 2020 score: 0.71864406779661
Tue Jul 28 21:10:07 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:10:07 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:10:07 2020               precision    recall  f1-score   support

 concurrency       0.85      0.61      0.71        28
      memory       0.65      0.77      0.71        22
    semantic       0.64      0.75      0.69        24

    accuracy                           0.70        74
   macro avg       0.72      0.71      0.70        74
weighted avg       0.72      0.70      0.70        74

Tue Jul 28 21:10:07 2020 at classifier: SGDC
Tue Jul 28 21:10:32 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.04
Tue Jul 28 21:10:32 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.04
Tue Jul 28 21:10:32 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:10:32 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:10:32 2020 Best:
Tue Jul 28 21:10:32 2020 index: 2
Tue Jul 28 21:10:32 2020 score: 0.7118644067796609
Tue Jul 28 21:10:32 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:10:32 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:10:32 2020               precision    recall  f1-score   support

 concurrency       0.71      0.61      0.65        28
      memory       0.71      0.77      0.74        22
    semantic       0.65      0.71      0.68        24

    accuracy                           0.69        74
   macro avg       0.69      0.70      0.69        74
weighted avg       0.69      0.69      0.69        74

Tue Jul 28 21:10:32 2020 at classifier: RFC
Tue Jul 28 21:11:02 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 21:11:02 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 21:11:02 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 21:11:02 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 21:11:02 2020 Best:
Tue Jul 28 21:11:02 2020 index: 2
Tue Jul 28 21:11:02 2020 score: 0.6271186440677966
Tue Jul 28 21:11:02 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:11:02 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 21:11:02 2020               precision    recall  f1-score   support

 concurrency       0.93      0.50      0.65        28
      memory       0.75      0.68      0.71        22
    semantic       0.54      0.88      0.67        24

    accuracy                           0.68        74
   macro avg       0.74      0.69      0.68        74
weighted avg       0.75      0.68      0.67        74

Tue Jul 28 21:11:02 2020 at classifier: LRC
Tue Jul 28 21:15:32 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:15:32 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:15:32 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:15:32 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:15:32 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:15:32 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:15:32 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:15:32 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:15:32 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:15:32 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:15:32 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:15:32 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:15:32 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:15:32 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:15:32 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:15:32 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:15:32 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:15:32 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:15:32 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:15:32 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:15:32 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:15:32 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:15:32 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 21:15:32 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:15:32 2020 Best:
Tue Jul 28 21:15:32 2020 index: 1
Tue Jul 28 21:15:32 2020 score: 0.6949152542372881
Tue Jul 28 21:15:32 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:15:32 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 21:15:32 2020               precision    recall  f1-score   support

 concurrency       0.83      0.54      0.65        28
      memory       0.64      0.73      0.68        22
    semantic       0.58      0.75      0.65        24

    accuracy                           0.66        74
   macro avg       0.68      0.67      0.66        74
weighted avg       0.69      0.66      0.66        74

Tue Jul 28 21:15:32 2020 at iteration: 85
Tue Jul 28 21:15:32 2020 n_samples: 369
Tue Jul 28 21:15:32 2020 at classifier: MNB
Tue Jul 28 21:16:17 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 21:16:17 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:16:17 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:16:17 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:16:17 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:16:17 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 21:16:17 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:16:17 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:16:17 2020 Best:
Tue Jul 28 21:16:17 2020 index: 2
Tue Jul 28 21:16:17 2020 score: 0.6983050847457626
Tue Jul 28 21:16:17 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:16:17 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 21:16:17 2020               precision    recall  f1-score   support

 concurrency       0.56      0.95      0.71        19
      memory       0.65      0.45      0.53        29
    semantic       0.73      0.62      0.67        26

    accuracy                           0.64        74
   macro avg       0.65      0.67      0.63        74
weighted avg       0.65      0.64      0.62        74

Tue Jul 28 21:16:17 2020 at classifier: LSVC
Tue Jul 28 21:16:40 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:16:40 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:16:40 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:16:40 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 21:16:40 2020 Best:
Tue Jul 28 21:16:40 2020 index: 0
Tue Jul 28 21:16:40 2020 score: 0.6949152542372881
Tue Jul 28 21:16:40 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:16:40 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:16:40 2020               precision    recall  f1-score   support

 concurrency       0.69      0.95      0.80        19
      memory       0.89      0.59      0.71        29
    semantic       0.79      0.88      0.84        26

    accuracy                           0.78        74
   macro avg       0.79      0.81      0.78        74
weighted avg       0.81      0.78      0.78        74

Tue Jul 28 21:16:40 2020 at classifier: SGDC
Tue Jul 28 21:17:02 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.06
Tue Jul 28 21:17:02 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.08
Tue Jul 28 21:17:02 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:17:02 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:17:02 2020 Best:
Tue Jul 28 21:17:02 2020 index: 2
Tue Jul 28 21:17:02 2020 score: 0.6881355932203389
Tue Jul 28 21:17:02 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:17:02 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:17:02 2020               precision    recall  f1-score   support

 concurrency       0.56      0.95      0.71        19
      memory       0.93      0.45      0.60        29
    semantic       0.79      0.85      0.81        26

    accuracy                           0.72        74
   macro avg       0.76      0.75      0.71        74
weighted avg       0.78      0.72      0.70        74

Tue Jul 28 21:17:02 2020 at classifier: RFC
Tue Jul 28 21:17:30 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 21:17:30 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.04
Tue Jul 28 21:17:30 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.08
Tue Jul 28 21:17:30 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 21:17:30 2020 Best:
Tue Jul 28 21:17:30 2020 index: 0
Tue Jul 28 21:17:30 2020 score: 0.6271186440677965
Tue Jul 28 21:17:30 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:17:30 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 21:17:30 2020               precision    recall  f1-score   support

 concurrency       0.62      0.68      0.65        19
      memory       0.89      0.28      0.42        29
    semantic       0.55      0.92      0.69        26

    accuracy                           0.61        74
   macro avg       0.68      0.63      0.59        74
weighted avg       0.70      0.61      0.57        74

Tue Jul 28 21:17:30 2020 at classifier: LRC
Tue Jul 28 21:21:41 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:21:41 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:21:41 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:21:41 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:21:41 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:21:41 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:21:41 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:21:41 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 21:21:41 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 21:21:41 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:21:41 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:21:41 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 21:21:41 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:21:41 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:21:41 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 21:21:41 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 21:21:41 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:21:41 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.02
Tue Jul 28 21:21:41 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:21:41 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:21:41 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:21:41 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:21:41 2020 Best:
Tue Jul 28 21:21:41 2020 index: 4
Tue Jul 28 21:21:41 2020 score: 0.7084745762711864
Tue Jul 28 21:21:41 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:21:41 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 21:21:42 2020               precision    recall  f1-score   support

 concurrency       0.62      0.95      0.75        19
      memory       0.94      0.55      0.70        29
    semantic       0.82      0.88      0.85        26

    accuracy                           0.77        74
   macro avg       0.79      0.79      0.77        74
weighted avg       0.82      0.77      0.76        74

Tue Jul 28 21:21:42 2020 at iteration: 86
Tue Jul 28 21:21:42 2020 n_samples: 369
Tue Jul 28 21:21:42 2020 at classifier: MNB
Tue Jul 28 21:22:32 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 21:22:32 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.08
Tue Jul 28 21:22:32 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:22:32 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 21:22:32 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:22:32 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:22:32 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:22:32 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 21:22:32 2020 Best:
Tue Jul 28 21:22:32 2020 index: 5
Tue Jul 28 21:22:32 2020 score: 0.688135593220339
Tue Jul 28 21:22:32 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:22:32 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 21:22:33 2020               precision    recall  f1-score   support

 concurrency       0.72      0.95      0.82        22
      memory       0.70      0.81      0.75        26
    semantic       0.87      0.50      0.63        26

    accuracy                           0.74        74
   macro avg       0.76      0.75      0.74        74
weighted avg       0.77      0.74      0.73        74

Tue Jul 28 21:22:33 2020 at classifier: LSVC
Tue Jul 28 21:22:58 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:22:58 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:22:58 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:22:58 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:22:58 2020 Best:
Tue Jul 28 21:22:58 2020 index: 1
Tue Jul 28 21:22:58 2020 score: 0.6949152542372881
Tue Jul 28 21:22:58 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:22:58 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:22:59 2020               precision    recall  f1-score   support

 concurrency       0.86      0.86      0.86        22
      memory       0.78      0.81      0.79        26
    semantic       0.76      0.73      0.75        26

    accuracy                           0.80        74
   macro avg       0.80      0.80      0.80        74
weighted avg       0.80      0.80      0.80        74

Tue Jul 28 21:22:59 2020 at classifier: SGDC
Tue Jul 28 21:23:24 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.06
Tue Jul 28 21:23:24 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.52; std - 0.08
Tue Jul 28 21:23:24 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:23:24 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:23:24 2020 Best:
Tue Jul 28 21:23:24 2020 index: 3
Tue Jul 28 21:23:24 2020 score: 0.6949152542372881
Tue Jul 28 21:23:24 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:23:24 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:23:25 2020               precision    recall  f1-score   support

 concurrency       0.77      0.91      0.83        22
      memory       0.81      0.81      0.81        26
    semantic       0.82      0.69      0.75        26

    accuracy                           0.80        74
   macro avg       0.80      0.80      0.80        74
weighted avg       0.80      0.80      0.80        74

Tue Jul 28 21:23:25 2020 at classifier: RFC
Tue Jul 28 21:23:55 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.08
Tue Jul 28 21:23:55 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.08
Tue Jul 28 21:23:55 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.08
Tue Jul 28 21:23:55 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.07
Tue Jul 28 21:23:55 2020 Best:
Tue Jul 28 21:23:55 2020 index: 2
Tue Jul 28 21:23:55 2020 score: 0.6440677966101694
Tue Jul 28 21:23:55 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:23:55 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 21:23:56 2020               precision    recall  f1-score   support

 concurrency       0.68      0.59      0.63        22
      memory       0.88      0.54      0.67        26
    semantic       0.54      0.81      0.65        26

    accuracy                           0.65        74
   macro avg       0.70      0.65      0.65        74
weighted avg       0.70      0.65      0.65        74

Tue Jul 28 21:23:56 2020 at classifier: LRC
Tue Jul 28 21:28:31 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:28:31 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:28:31 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:28:31 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:28:31 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:28:31 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:28:31 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:28:31 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:28:31 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:28:31 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:28:31 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:28:31 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:28:31 2020 Best:
Tue Jul 28 21:28:31 2020 index: 24
Tue Jul 28 21:28:31 2020 score: 0.7050847457627119
Tue Jul 28 21:28:31 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:28:31 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 21:28:31 2020               precision    recall  f1-score   support

 concurrency       0.84      0.73      0.78        22
      memory       0.79      0.85      0.81        26
    semantic       0.74      0.77      0.75        26

    accuracy                           0.78        74
   macro avg       0.79      0.78      0.78        74
weighted avg       0.79      0.78      0.78        74

Tue Jul 28 21:28:31 2020 at iteration: 87
Tue Jul 28 21:28:31 2020 n_samples: 369
Tue Jul 28 21:28:31 2020 at classifier: MNB
Tue Jul 28 21:29:18 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 21:29:18 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 21:29:18 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:29:18 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:29:18 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 21:29:18 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.03
Tue Jul 28 21:29:18 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:29:18 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:29:18 2020 Best:
Tue Jul 28 21:29:18 2020 index: 3
Tue Jul 28 21:29:18 2020 score: 0.6983050847457626
Tue Jul 28 21:29:18 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:29:18 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 21:29:18 2020               precision    recall  f1-score   support

 concurrency       0.86      0.78      0.82        23
      memory       0.48      0.74      0.58        19
    semantic       0.75      0.56      0.64        32

    accuracy                           0.68        74
   macro avg       0.70      0.69      0.68        74
weighted avg       0.71      0.68      0.68        74

Tue Jul 28 21:29:18 2020 at classifier: LSVC
Tue Jul 28 21:29:41 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:29:41 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:29:41 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 21:29:41 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:29:41 2020 Best:
Tue Jul 28 21:29:41 2020 index: 0
Tue Jul 28 21:29:41 2020 score: 0.6915254237288135
Tue Jul 28 21:29:41 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:29:41 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:29:41 2020               precision    recall  f1-score   support

 concurrency       0.79      0.83      0.81        23
      memory       0.57      0.63      0.60        19
    semantic       0.76      0.69      0.72        32

    accuracy                           0.72        74
   macro avg       0.71      0.72      0.71        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 21:29:41 2020 at classifier: SGDC
Tue Jul 28 21:30:05 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.04
Tue Jul 28 21:30:05 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.04
Tue Jul 28 21:30:05 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.01
Tue Jul 28 21:30:05 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:30:05 2020 Best:
Tue Jul 28 21:30:05 2020 index: 3
Tue Jul 28 21:30:05 2020 score: 0.7118644067796609
Tue Jul 28 21:30:05 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:30:05 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:30:06 2020               precision    recall  f1-score   support

 concurrency       0.74      0.87      0.80        23
      memory       0.60      0.63      0.62        19
    semantic       0.78      0.66      0.71        32

    accuracy                           0.72        74
   macro avg       0.71      0.72      0.71        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 21:30:06 2020 at classifier: RFC
Tue Jul 28 21:30:35 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 21:30:35 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.02
Tue Jul 28 21:30:35 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.01
Tue Jul 28 21:30:35 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 21:30:35 2020 Best:
Tue Jul 28 21:30:35 2020 index: 2
Tue Jul 28 21:30:35 2020 score: 0.6644067796610169
Tue Jul 28 21:30:35 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:30:35 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 21:30:35 2020               precision    recall  f1-score   support

 concurrency       0.88      0.65      0.75        23
      memory       0.64      0.84      0.73        19
    semantic       0.75      0.75      0.75        32

    accuracy                           0.74        74
   macro avg       0.76      0.75      0.74        74
weighted avg       0.76      0.74      0.74        74

Tue Jul 28 21:30:35 2020 at classifier: LRC
Tue Jul 28 21:34:53 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:34:53 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:34:53 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:34:53 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:34:53 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:34:53 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:34:53 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:34:53 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:34:53 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:34:53 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:34:53 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:34:53 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:34:53 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:34:53 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:34:53 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:34:53 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:34:53 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:34:53 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:34:53 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:34:53 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:34:53 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:34:53 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:34:53 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:34:53 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:34:53 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:34:53 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:34:53 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:34:53 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:34:53 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:34:53 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:34:53 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:34:53 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:34:53 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:34:53 2020 Best:
Tue Jul 28 21:34:53 2020 index: 1
Tue Jul 28 21:34:53 2020 score: 0.6915254237288135
Tue Jul 28 21:34:53 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:34:53 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 21:34:53 2020               precision    recall  f1-score   support

 concurrency       0.84      0.70      0.76        23
      memory       0.55      0.63      0.59        19
    semantic       0.70      0.72      0.71        32

    accuracy                           0.69        74
   macro avg       0.69      0.68      0.68        74
weighted avg       0.70      0.69      0.69        74

Tue Jul 28 21:34:53 2020 at iteration: 88
Tue Jul 28 21:34:53 2020 n_samples: 369
Tue Jul 28 21:34:53 2020 at classifier: MNB
Tue Jul 28 21:35:44 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:35:44 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:35:44 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 21:35:44 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.03
Tue Jul 28 21:35:44 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:35:44 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:35:44 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:35:44 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:35:44 2020 Best:
Tue Jul 28 21:35:44 2020 index: 3
Tue Jul 28 21:35:44 2020 score: 0.735593220338983
Tue Jul 28 21:35:44 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:35:44 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 21:35:44 2020               precision    recall  f1-score   support

 concurrency       0.84      0.59      0.70        27
      memory       0.65      0.83      0.73        24
    semantic       0.54      0.57      0.55        23

    accuracy                           0.66        74
   macro avg       0.68      0.66      0.66        74
weighted avg       0.68      0.66      0.66        74

Tue Jul 28 21:35:44 2020 at classifier: LSVC
Tue Jul 28 21:36:10 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:36:10 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:36:10 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 21:36:10 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:36:10 2020 Best:
Tue Jul 28 21:36:10 2020 index: 1
Tue Jul 28 21:36:10 2020 score: 0.7254237288135593
Tue Jul 28 21:36:10 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:36:10 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:36:10 2020               precision    recall  f1-score   support

 concurrency       0.83      0.56      0.67        27
      memory       0.73      0.67      0.70        24
    semantic       0.56      0.83      0.67        23

    accuracy                           0.68        74
   macro avg       0.71      0.68      0.68        74
weighted avg       0.71      0.68      0.68        74

Tue Jul 28 21:36:10 2020 at classifier: SGDC
Tue Jul 28 21:36:35 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.07
Tue Jul 28 21:36:35 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.08
Tue Jul 28 21:36:35 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:36:35 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:36:35 2020 Best:
Tue Jul 28 21:36:35 2020 index: 2
Tue Jul 28 21:36:35 2020 score: 0.7220338983050848
Tue Jul 28 21:36:35 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:36:35 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:36:35 2020               precision    recall  f1-score   support

 concurrency       0.79      0.56      0.65        27
      memory       0.83      0.62      0.71        24
    semantic       0.54      0.87      0.67        23

    accuracy                           0.68        74
   macro avg       0.72      0.68      0.68        74
weighted avg       0.73      0.68      0.68        74

Tue Jul 28 21:36:35 2020 at classifier: RFC
Tue Jul 28 21:37:06 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 21:37:06 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.08
Tue Jul 28 21:37:06 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.07
Tue Jul 28 21:37:06 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 21:37:06 2020 Best:
Tue Jul 28 21:37:06 2020 index: 2
Tue Jul 28 21:37:06 2020 score: 0.6644067796610169
Tue Jul 28 21:37:06 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:37:06 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 21:37:06 2020               precision    recall  f1-score   support

 concurrency       0.90      0.33      0.49        27
      memory       0.86      0.50      0.63        24
    semantic       0.42      0.91      0.58        23

    accuracy                           0.57        74
   macro avg       0.73      0.58      0.56        74
weighted avg       0.74      0.57      0.56        74

Tue Jul 28 21:37:06 2020 at classifier: LRC
Tue Jul 28 21:41:42 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 21:41:42 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 21:41:42 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 21:41:42 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 21:41:42 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 21:41:42 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 21:41:42 2020 Best:
Tue Jul 28 21:41:42 2020 index: 34
Tue Jul 28 21:41:42 2020 score: 0.7355932203389831
Tue Jul 28 21:41:42 2020 params: {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:41:42 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42,
                                    solver='liblinear'))])
Tue Jul 28 21:41:42 2020               precision    recall  f1-score   support

 concurrency       0.81      0.48      0.60        27
      memory       0.73      0.67      0.70        24
    semantic       0.50      0.78      0.61        23

    accuracy                           0.64        74
   macro avg       0.68      0.64      0.64        74
weighted avg       0.69      0.64      0.64        74

Tue Jul 28 21:41:42 2020 at iteration: 89
Tue Jul 28 21:41:42 2020 n_samples: 369
Tue Jul 28 21:41:42 2020 at classifier: MNB
Tue Jul 28 21:42:23 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:42:23 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:42:23 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:42:23 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:42:23 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:42:23 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:42:23 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 21:42:23 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:42:23 2020 Best:
Tue Jul 28 21:42:23 2020 index: 1
Tue Jul 28 21:42:23 2020 score: 0.6983050847457627
Tue Jul 28 21:42:23 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:42:23 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 21:42:23 2020               precision    recall  f1-score   support

 concurrency       0.72      0.88      0.79        24
      memory       0.75      0.62      0.68        24
    semantic       0.72      0.69      0.71        26

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 21:42:23 2020 at classifier: LSVC
Tue Jul 28 21:42:44 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 21:42:44 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 21:42:44 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:42:44 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:42:44 2020 Best:
Tue Jul 28 21:42:44 2020 index: 1
Tue Jul 28 21:42:44 2020 score: 0.7152542372881356
Tue Jul 28 21:42:44 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:42:44 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:42:45 2020               precision    recall  f1-score   support

 concurrency       0.73      0.79      0.76        24
      memory       0.93      0.58      0.72        24
    semantic       0.67      0.85      0.75        26

    accuracy                           0.74        74
   macro avg       0.78      0.74      0.74        74
weighted avg       0.77      0.74      0.74        74

Tue Jul 28 21:42:45 2020 at classifier: SGDC
Tue Jul 28 21:43:07 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 21:43:07 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.06
Tue Jul 28 21:43:07 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:43:07 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 21:43:07 2020 Best:
Tue Jul 28 21:43:07 2020 index: 3
Tue Jul 28 21:43:07 2020 score: 0.7152542372881356
Tue Jul 28 21:43:07 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:43:07 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:43:07 2020               precision    recall  f1-score   support

 concurrency       0.72      0.88      0.79        24
      memory       0.94      0.62      0.75        24
    semantic       0.72      0.81      0.76        26

    accuracy                           0.77        74
   macro avg       0.80      0.77      0.77        74
weighted avg       0.79      0.77      0.77        74

Tue Jul 28 21:43:07 2020 at classifier: RFC
Tue Jul 28 21:43:33 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.07
Tue Jul 28 21:43:33 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.10
Tue Jul 28 21:43:33 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 21:43:33 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.07
Tue Jul 28 21:43:33 2020 Best:
Tue Jul 28 21:43:33 2020 index: 0
Tue Jul 28 21:43:33 2020 score: 0.6745762711864407
Tue Jul 28 21:43:33 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:43:33 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 21:43:34 2020               precision    recall  f1-score   support

 concurrency       0.76      0.54      0.63        24
      memory       0.92      0.46      0.61        24
    semantic       0.49      0.85      0.62        26

    accuracy                           0.62        74
   macro avg       0.72      0.62      0.62        74
weighted avg       0.72      0.62      0.62        74

Tue Jul 28 21:43:34 2020 at classifier: LRC
Tue Jul 28 21:47:22 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:47:22 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 21:47:22 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:47:22 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 21:47:22 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 21:47:22 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 21:47:22 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:47:22 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 21:47:22 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:47:22 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 21:47:22 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:47:22 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 21:47:22 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:47:22 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 21:47:22 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:47:22 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 21:47:22 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:47:22 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 21:47:22 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:47:22 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 21:47:22 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:47:22 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 21:47:22 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:47:22 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 21:47:22 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:47:22 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 21:47:22 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:47:22 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 21:47:22 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:47:22 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 21:47:22 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 21:47:22 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 21:47:22 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 21:47:22 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 21:47:22 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:47:22 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 21:47:22 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:47:22 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.08
Tue Jul 28 21:47:22 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:47:22 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.09
Tue Jul 28 21:47:22 2020 Best:
Tue Jul 28 21:47:22 2020 index: 5
Tue Jul 28 21:47:22 2020 score: 0.7118644067796609
Tue Jul 28 21:47:22 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:47:22 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 21:47:23 2020               precision    recall  f1-score   support

 concurrency       0.73      0.79      0.76        24
      memory       0.93      0.58      0.72        24
    semantic       0.67      0.85      0.75        26

    accuracy                           0.74        74
   macro avg       0.78      0.74      0.74        74
weighted avg       0.77      0.74      0.74        74

Tue Jul 28 21:47:23 2020 at iteration: 90
Tue Jul 28 21:47:23 2020 n_samples: 369
Tue Jul 28 21:47:23 2020 at classifier: MNB
Tue Jul 28 21:48:10 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 21:48:10 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 21:48:10 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.05
Tue Jul 28 21:48:10 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.04
Tue Jul 28 21:48:10 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:48:10 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 21:48:10 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.05
Tue Jul 28 21:48:10 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 21:48:10 2020 Best:
Tue Jul 28 21:48:10 2020 index: 4
Tue Jul 28 21:48:10 2020 score: 0.6745762711864407
Tue Jul 28 21:48:10 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:48:10 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 21:48:10 2020               precision    recall  f1-score   support

 concurrency       0.76      0.73      0.75        30
      memory       0.65      0.75      0.70        20
    semantic       0.77      0.71      0.74        24

    accuracy                           0.73        74
   macro avg       0.73      0.73      0.73        74
weighted avg       0.73      0.73      0.73        74

Tue Jul 28 21:48:10 2020 at classifier: LSVC
Tue Jul 28 21:48:34 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.02
Tue Jul 28 21:48:34 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:48:34 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:48:34 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.03
Tue Jul 28 21:48:34 2020 Best:
Tue Jul 28 21:48:34 2020 index: 0
Tue Jul 28 21:48:34 2020 score: 0.6983050847457627
Tue Jul 28 21:48:34 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:48:34 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:48:34 2020               precision    recall  f1-score   support

 concurrency       0.79      0.77      0.78        30
      memory       0.82      0.70      0.76        20
    semantic       0.71      0.83      0.77        24

    accuracy                           0.77        74
   macro avg       0.78      0.77      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 21:48:34 2020 at classifier: SGDC
Tue Jul 28 21:48:58 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 21:48:58 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.06
Tue Jul 28 21:48:58 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.02
Tue Jul 28 21:48:58 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:48:58 2020 Best:
Tue Jul 28 21:48:58 2020 index: 2
Tue Jul 28 21:48:58 2020 score: 0.7084745762711864
Tue Jul 28 21:48:58 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:48:58 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:48:58 2020               precision    recall  f1-score   support

 concurrency       0.71      0.73      0.72        30
      memory       0.93      0.70      0.80        20
    semantic       0.68      0.79      0.73        24

    accuracy                           0.74        74
   macro avg       0.77      0.74      0.75        74
weighted avg       0.76      0.74      0.75        74

Tue Jul 28 21:48:58 2020 at classifier: RFC
Tue Jul 28 21:49:28 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.09
Tue Jul 28 21:49:28 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.10
Tue Jul 28 21:49:28 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.10
Tue Jul 28 21:49:28 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.08
Tue Jul 28 21:49:28 2020 Best:
Tue Jul 28 21:49:28 2020 index: 0
Tue Jul 28 21:49:28 2020 score: 0.6576271186440679
Tue Jul 28 21:49:28 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:49:28 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 21:49:28 2020               precision    recall  f1-score   support

 concurrency       0.82      0.47      0.60        30
      memory       0.74      0.70      0.72        20
    semantic       0.50      0.79      0.61        24

    accuracy                           0.64        74
   macro avg       0.69      0.65      0.64        74
weighted avg       0.70      0.64      0.63        74

Tue Jul 28 21:49:28 2020 at classifier: LRC
Tue Jul 28 21:53:48 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:53:48 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:53:48 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:53:48 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:53:48 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:53:48 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:53:48 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.03
Tue Jul 28 21:53:48 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:53:48 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:53:48 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:53:48 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:53:48 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 21:53:48 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:53:48 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:53:48 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:53:48 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:53:48 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:53:48 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:53:48 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:53:48 2020 Best:
Tue Jul 28 21:53:48 2020 index: 1
Tue Jul 28 21:53:48 2020 score: 0.7050847457627117
Tue Jul 28 21:53:48 2020 params: {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:53:48 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='newton-cg'))])
Tue Jul 28 21:53:48 2020               precision    recall  f1-score   support

 concurrency       0.79      0.77      0.78        30
      memory       0.83      0.75      0.79        20
    semantic       0.70      0.79      0.75        24

    accuracy                           0.77        74
   macro avg       0.78      0.77      0.77        74
weighted avg       0.77      0.77      0.77        74

Tue Jul 28 21:53:49 2020 at iteration: 91
Tue Jul 28 21:53:49 2020 n_samples: 369
Tue Jul 28 21:53:49 2020 at classifier: MNB
Tue Jul 28 21:54:34 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 21:54:34 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 21:54:34 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 21:54:34 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:54:34 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:54:34 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:54:34 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:54:34 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 21:54:34 2020 Best:
Tue Jul 28 21:54:34 2020 index: 5
Tue Jul 28 21:54:34 2020 score: 0.6915254237288135
Tue Jul 28 21:54:34 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:54:34 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 21:54:34 2020               precision    recall  f1-score   support

 concurrency       0.76      0.66      0.70        29
      memory       0.86      0.79      0.83        24
    semantic       0.56      0.71      0.63        21

    accuracy                           0.72        74
   macro avg       0.73      0.72      0.72        74
weighted avg       0.74      0.72      0.72        74

Tue Jul 28 21:54:34 2020 at classifier: LSVC
Tue Jul 28 21:54:57 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 21:54:57 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 21:54:57 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:54:57 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:54:57 2020 Best:
Tue Jul 28 21:54:57 2020 index: 1
Tue Jul 28 21:54:57 2020 score: 0.711864406779661
Tue Jul 28 21:54:57 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:54:57 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 21:54:58 2020               precision    recall  f1-score   support

 concurrency       0.72      0.79      0.75        29
      memory       1.00      0.71      0.83        24
    semantic       0.56      0.67      0.61        21

    accuracy                           0.73        74
   macro avg       0.76      0.72      0.73        74
weighted avg       0.76      0.73      0.74        74

Tue Jul 28 21:54:58 2020 at classifier: SGDC
Tue Jul 28 21:55:21 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.07
Tue Jul 28 21:55:21 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.06
Tue Jul 28 21:55:21 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:55:21 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:55:21 2020 Best:
Tue Jul 28 21:55:21 2020 index: 3
Tue Jul 28 21:55:21 2020 score: 0.6915254237288135
Tue Jul 28 21:55:21 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:55:21 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 21:55:21 2020               precision    recall  f1-score   support

 concurrency       0.77      0.83      0.80        29
      memory       0.94      0.71      0.81        24
    semantic       0.60      0.71      0.65        21

    accuracy                           0.76        74
   macro avg       0.77      0.75      0.75        74
weighted avg       0.78      0.76      0.76        74

Tue Jul 28 21:55:21 2020 at classifier: RFC
Tue Jul 28 21:55:50 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.06
Tue Jul 28 21:55:50 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.06
Tue Jul 28 21:55:50 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.59; std - 0.06
Tue Jul 28 21:55:50 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.03
Tue Jul 28 21:55:50 2020 Best:
Tue Jul 28 21:55:50 2020 index: 2
Tue Jul 28 21:55:50 2020 score: 0.5932203389830508
Tue Jul 28 21:55:50 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:55:50 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 21:55:50 2020               precision    recall  f1-score   support

 concurrency       0.93      0.48      0.64        29
      memory       1.00      0.42      0.59        24
    semantic       0.41      0.95      0.57        21

    accuracy                           0.59        74
   macro avg       0.78      0.62      0.60        74
weighted avg       0.81      0.59      0.60        74

Tue Jul 28 21:55:50 2020 at classifier: LRC
Tue Jul 28 21:59:59 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:59:59 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:59:59 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:59:59 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:59:59 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:59:59 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:59:59 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:59:59 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 21:59:59 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:59:59 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 21:59:59 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:59:59 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:59:59 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:59:59 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 21:59:59 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 21:59:59 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:59:59 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 21:59:59 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:59:59 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 21:59:59 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 21:59:59 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 21:59:59 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 21:59:59 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 21:59:59 2020 Best:
Tue Jul 28 21:59:59 2020 index: 34
Tue Jul 28 21:59:59 2020 score: 0.7084745762711864
Tue Jul 28 21:59:59 2020 params: {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 21:59:59 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42,
                                    solver='liblinear'))])
Tue Jul 28 21:59:59 2020               precision    recall  f1-score   support

 concurrency       0.74      0.79      0.77        29
      memory       0.94      0.62      0.75        24
    semantic       0.52      0.67      0.58        21

    accuracy                           0.70        74
   macro avg       0.73      0.69      0.70        74
weighted avg       0.74      0.70      0.71        74

Tue Jul 28 21:59:59 2020 at iteration: 92
Tue Jul 28 21:59:59 2020 n_samples: 369
Tue Jul 28 21:59:59 2020 at classifier: MNB
Tue Jul 28 22:00:47 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:00:47 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:00:47 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:00:47 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:00:47 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:00:47 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:00:47 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:00:47 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:00:47 2020 Best:
Tue Jul 28 22:00:47 2020 index: 7
Tue Jul 28 22:00:47 2020 score: 0.7322033898305085
Tue Jul 28 22:00:47 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:00:47 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 22:00:47 2020               precision    recall  f1-score   support

 concurrency       0.68      0.61      0.64        28
      memory       0.61      0.56      0.58        25
    semantic       0.50      0.62      0.55        21

    accuracy                           0.59        74
   macro avg       0.60      0.60      0.59        74
weighted avg       0.60      0.59      0.60        74

Tue Jul 28 22:00:47 2020 at classifier: LSVC
Tue Jul 28 22:01:12 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 22:01:12 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 22:01:12 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:01:12 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:01:12 2020 Best:
Tue Jul 28 22:01:12 2020 index: 1
Tue Jul 28 22:01:12 2020 score: 0.7423728813559322
Tue Jul 28 22:01:12 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:01:12 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 22:01:13 2020               precision    recall  f1-score   support

 concurrency       0.74      0.61      0.67        28
      memory       0.75      0.48      0.59        25
    semantic       0.51      0.86      0.64        21

    accuracy                           0.64        74
   macro avg       0.67      0.65      0.63        74
weighted avg       0.68      0.64      0.63        74

Tue Jul 28 22:01:13 2020 at classifier: SGDC
Tue Jul 28 22:01:38 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 22:01:38 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 22:01:38 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:01:38 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 22:01:38 2020 Best:
Tue Jul 28 22:01:38 2020 index: 3
Tue Jul 28 22:01:38 2020 score: 0.735593220338983
Tue Jul 28 22:01:38 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:01:38 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:01:38 2020               precision    recall  f1-score   support

 concurrency       0.71      0.61      0.65        28
      memory       0.86      0.48      0.62        25
    semantic       0.53      0.90      0.67        21

    accuracy                           0.65        74
   macro avg       0.70      0.66      0.65        74
weighted avg       0.71      0.65      0.64        74

Tue Jul 28 22:01:38 2020 at classifier: RFC
Tue Jul 28 22:02:09 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.08
Tue Jul 28 22:02:09 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 22:02:09 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 22:02:09 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.04
Tue Jul 28 22:02:09 2020 Best:
Tue Jul 28 22:02:09 2020 index: 2
Tue Jul 28 22:02:09 2020 score: 0.6508474576271186
Tue Jul 28 22:02:09 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:02:09 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 22:02:09 2020               precision    recall  f1-score   support

 concurrency       0.62      0.29      0.39        28
      memory       0.89      0.32      0.47        25
    semantic       0.38      0.95      0.55        21

    accuracy                           0.49        74
   macro avg       0.63      0.52      0.47        74
weighted avg       0.64      0.49      0.46        74

Tue Jul 28 22:02:09 2020 at classifier: LRC
Tue Jul 28 22:06:32 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:06:32 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:06:32 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 22:06:32 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.07
Tue Jul 28 22:06:32 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:06:32 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:06:32 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 22:06:32 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:06:32 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:06:32 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:06:32 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:06:32 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:06:32 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:06:32 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:06:32 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:06:32 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:06:32 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:06:32 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:06:32 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:06:32 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:06:32 2020 Best:
Tue Jul 28 22:06:32 2020 index: 24
Tue Jul 28 22:06:32 2020 score: 0.7322033898305085
Tue Jul 28 22:06:32 2020 params: {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:06:32 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=8, random_state=42, solver='liblinear'))])
Tue Jul 28 22:06:33 2020               precision    recall  f1-score   support

 concurrency       0.69      0.64      0.67        28
      memory       0.73      0.44      0.55        25
    semantic       0.55      0.86      0.67        21

    accuracy                           0.64        74
   macro avg       0.66      0.65      0.63        74
weighted avg       0.66      0.64      0.63        74

Tue Jul 28 22:06:33 2020 at iteration: 93
Tue Jul 28 22:06:33 2020 n_samples: 369
Tue Jul 28 22:06:33 2020 at classifier: MNB
Tue Jul 28 22:07:14 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:07:14 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:07:14 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:07:14 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:07:14 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 22:07:14 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 22:07:14 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:07:14 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:07:14 2020 Best:
Tue Jul 28 22:07:14 2020 index: 2
Tue Jul 28 22:07:14 2020 score: 0.7016949152542372
Tue Jul 28 22:07:14 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:07:14 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 22:07:14 2020               precision    recall  f1-score   support

 concurrency       0.89      0.80      0.84        30
      memory       0.60      0.75      0.67        20
    semantic       0.68      0.62      0.65        24

    accuracy                           0.73        74
   macro avg       0.72      0.72      0.72        74
weighted avg       0.74      0.73      0.73        74

Tue Jul 28 22:07:14 2020 at classifier: LSVC
Tue Jul 28 22:07:36 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:07:36 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:07:36 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 22:07:36 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:07:36 2020 Best:
Tue Jul 28 22:07:36 2020 index: 1
Tue Jul 28 22:07:36 2020 score: 0.7118644067796611
Tue Jul 28 22:07:36 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:07:36 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 22:07:36 2020               precision    recall  f1-score   support

 concurrency       0.80      0.80      0.80        30
      memory       0.76      0.80      0.78        20
    semantic       0.70      0.67      0.68        24

    accuracy                           0.76        74
   macro avg       0.75      0.76      0.75        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 22:07:36 2020 at classifier: SGDC
Tue Jul 28 22:07:57 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.04
Tue Jul 28 22:07:57 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.08
Tue Jul 28 22:07:57 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:07:57 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:07:57 2020 Best:
Tue Jul 28 22:07:57 2020 index: 2
Tue Jul 28 22:07:57 2020 score: 0.6983050847457626
Tue Jul 28 22:07:57 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:07:57 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:07:57 2020               precision    recall  f1-score   support

 concurrency       0.83      0.80      0.81        30
      memory       0.80      0.80      0.80        20
    semantic       0.72      0.75      0.73        24

    accuracy                           0.78        74
   macro avg       0.78      0.78      0.78        74
weighted avg       0.79      0.78      0.78        74

Tue Jul 28 22:07:57 2020 at classifier: RFC
Tue Jul 28 22:08:24 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.06
Tue Jul 28 22:08:24 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.07
Tue Jul 28 22:08:24 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.08
Tue Jul 28 22:08:24 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.07
Tue Jul 28 22:08:24 2020 Best:
Tue Jul 28 22:08:24 2020 index: 0
Tue Jul 28 22:08:24 2020 score: 0.6237288135593221
Tue Jul 28 22:08:24 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:08:24 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 22:08:24 2020               precision    recall  f1-score   support

 concurrency       0.81      0.43      0.57        30
      memory       0.83      0.75      0.79        20
    semantic       0.50      0.83      0.62        24

    accuracy                           0.65        74
   macro avg       0.72      0.67      0.66        74
weighted avg       0.72      0.65      0.65        74

Tue Jul 28 22:08:24 2020 at classifier: LRC
Tue Jul 28 22:12:17 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:12:17 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:12:17 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:12:17 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:12:17 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:12:17 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 22:12:17 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:12:17 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 22:12:17 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:12:17 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 22:12:17 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:12:17 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:12:17 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:12:17 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:12:17 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:12:17 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:12:17 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:12:17 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:12:17 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:12:17 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 22:12:17 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 22:12:17 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 22:12:17 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:12:17 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:12:17 2020 Best:
Tue Jul 28 22:12:17 2020 index: 18
Tue Jul 28 22:12:17 2020 score: 0.7050847457627117
Tue Jul 28 22:12:17 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:12:17 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 22:12:17 2020               precision    recall  f1-score   support

 concurrency       0.85      0.77      0.81        30
      memory       0.70      0.80      0.74        20
    semantic       0.71      0.71      0.71        24

    accuracy                           0.76        74
   macro avg       0.75      0.76      0.75        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 22:12:18 2020 at iteration: 94
Tue Jul 28 22:12:18 2020 n_samples: 369
Tue Jul 28 22:12:18 2020 at classifier: MNB
Tue Jul 28 22:13:06 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.07
Tue Jul 28 22:13:06 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.06
Tue Jul 28 22:13:06 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 22:13:06 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.06
Tue Jul 28 22:13:06 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.08
Tue Jul 28 22:13:06 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.05
Tue Jul 28 22:13:06 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.08
Tue Jul 28 22:13:06 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.64; std - 0.07
Tue Jul 28 22:13:06 2020 Best:
Tue Jul 28 22:13:06 2020 index: 2
Tue Jul 28 22:13:06 2020 score: 0.6677966101694915
Tue Jul 28 22:13:06 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:13:06 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4, fit_prior=False))])
Tue Jul 28 22:13:06 2020               precision    recall  f1-score   support

 concurrency       0.60      0.94      0.73        16
      memory       0.70      0.70      0.70        27
    semantic       0.77      0.55      0.64        31

    accuracy                           0.69        74
   macro avg       0.69      0.73      0.69        74
weighted avg       0.71      0.69      0.68        74

Tue Jul 28 22:13:06 2020 at classifier: LSVC
Tue Jul 28 22:13:30 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:13:30 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:13:30 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 22:13:30 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 22:13:30 2020 Best:
Tue Jul 28 22:13:30 2020 index: 0
Tue Jul 28 22:13:30 2020 score: 0.711864406779661
Tue Jul 28 22:13:30 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:13:30 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 22:13:30 2020               precision    recall  f1-score   support

 concurrency       0.58      0.88      0.70        16
      memory       0.83      0.70      0.76        27
    semantic       0.78      0.68      0.72        31

    accuracy                           0.73        74
   macro avg       0.73      0.75      0.73        74
weighted avg       0.75      0.73      0.73        74

Tue Jul 28 22:13:30 2020 at classifier: SGDC
Tue Jul 28 22:13:55 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.08
Tue Jul 28 22:13:55 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.10
Tue Jul 28 22:13:55 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:13:55 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.06
Tue Jul 28 22:13:55 2020 Best:
Tue Jul 28 22:13:55 2020 index: 2
Tue Jul 28 22:13:55 2020 score: 0.6881355932203389
Tue Jul 28 22:13:55 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:13:55 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:13:55 2020               precision    recall  f1-score   support

 concurrency       0.58      0.94      0.71        16
      memory       0.90      0.70      0.79        27
    semantic       0.81      0.71      0.76        31

    accuracy                           0.76        74
   macro avg       0.77      0.78      0.75        74
weighted avg       0.80      0.76      0.76        74

Tue Jul 28 22:13:55 2020 at classifier: RFC
Tue Jul 28 22:14:25 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.01
Tue Jul 28 22:14:25 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.02
Tue Jul 28 22:14:25 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.65; std - 0.03
Tue Jul 28 22:14:25 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.01
Tue Jul 28 22:14:25 2020 Best:
Tue Jul 28 22:14:25 2020 index: 0
Tue Jul 28 22:14:25 2020 score: 0.6542372881355932
Tue Jul 28 22:14:25 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:14:25 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 22:14:25 2020               precision    recall  f1-score   support

 concurrency       0.55      0.75      0.63        16
      memory       1.00      0.67      0.80        27
    semantic       0.68      0.74      0.71        31

    accuracy                           0.72        74
   macro avg       0.74      0.72      0.71        74
weighted avg       0.77      0.72      0.72        74

Tue Jul 28 22:14:25 2020 at classifier: LRC
Tue Jul 28 22:18:53 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:18:53 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 22:18:53 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:18:53 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:18:53 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:18:53 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:18:53 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:18:53 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 22:18:53 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:18:53 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:18:53 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 22:18:53 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:18:53 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:18:53 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:18:53 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.07
Tue Jul 28 22:18:53 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:18:53 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:18:53 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:18:53 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:18:53 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.07
Tue Jul 28 22:18:53 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:18:53 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:18:53 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:18:53 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:18:53 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.06
Tue Jul 28 22:18:53 2020 Best:
Tue Jul 28 22:18:53 2020 index: 10
Tue Jul 28 22:18:53 2020 score: 0.7084745762711865
Tue Jul 28 22:18:53 2020 params: {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:18:53 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='newton-cg'))])
Tue Jul 28 22:18:53 2020               precision    recall  f1-score   support

 concurrency       0.67      0.88      0.76        16
      memory       0.78      0.78      0.78        27
    semantic       0.81      0.68      0.74        31

    accuracy                           0.76        74
   macro avg       0.75      0.78      0.76        74
weighted avg       0.77      0.76      0.76        74

Tue Jul 28 22:18:53 2020 at iteration: 95
Tue Jul 28 22:18:53 2020 n_samples: 369
Tue Jul 28 22:18:53 2020 at classifier: MNB
Tue Jul 28 22:19:32 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 22:19:32 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.09
Tue Jul 28 22:19:32 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 22:19:32 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.09
Tue Jul 28 22:19:32 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 22:19:32 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.09
Tue Jul 28 22:19:32 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.08
Tue Jul 28 22:19:32 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.08
Tue Jul 28 22:19:32 2020 Best:
Tue Jul 28 22:19:32 2020 index: 0
Tue Jul 28 22:19:32 2020 score: 0.6949152542372881
Tue Jul 28 22:19:32 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:19:32 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 22:19:32 2020               precision    recall  f1-score   support

 concurrency       0.73      0.76      0.75        25
      memory       0.62      0.68      0.65        22
    semantic       0.79      0.70      0.75        27

    accuracy                           0.72        74
   macro avg       0.72      0.72      0.71        74
weighted avg       0.72      0.72      0.72        74

Tue Jul 28 22:19:32 2020 at classifier: LSVC
Tue Jul 28 22:19:52 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:19:52 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:19:52 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:19:52 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:19:52 2020 Best:
Tue Jul 28 22:19:52 2020 index: 0
Tue Jul 28 22:19:52 2020 score: 0.7322033898305085
Tue Jul 28 22:19:52 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:19:52 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 22:19:52 2020               precision    recall  f1-score   support

 concurrency       0.72      0.72      0.72        25
      memory       0.73      0.73      0.73        22
    semantic       0.81      0.81      0.81        27

    accuracy                           0.76        74
   macro avg       0.75      0.75      0.75        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 22:19:52 2020 at classifier: SGDC
Tue Jul 28 22:20:12 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.08
Tue Jul 28 22:20:12 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.08
Tue Jul 28 22:20:12 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 22:20:12 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.07
Tue Jul 28 22:20:12 2020 Best:
Tue Jul 28 22:20:12 2020 index: 2
Tue Jul 28 22:20:12 2020 score: 0.7118644067796611
Tue Jul 28 22:20:12 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:20:12 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:20:12 2020               precision    recall  f1-score   support

 concurrency       0.70      0.56      0.62        25
      memory       0.80      0.73      0.76        22
    semantic       0.68      0.85      0.75        27

    accuracy                           0.72        74
   macro avg       0.73      0.71      0.71        74
weighted avg       0.72      0.72      0.71        74

Tue Jul 28 22:20:12 2020 at classifier: RFC
Tue Jul 28 22:20:37 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 22:20:37 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.03
Tue Jul 28 22:20:37 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 22:20:37 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 22:20:37 2020 Best:
Tue Jul 28 22:20:37 2020 index: 0
Tue Jul 28 22:20:37 2020 score: 0.6915254237288135
Tue Jul 28 22:20:37 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:20:37 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 22:20:37 2020               precision    recall  f1-score   support

 concurrency       0.71      0.48      0.57        25
      memory       0.65      0.59      0.62        22
    semantic       0.54      0.74      0.62        27

    accuracy                           0.61        74
   macro avg       0.63      0.60      0.61        74
weighted avg       0.63      0.61      0.61        74

Tue Jul 28 22:20:37 2020 at classifier: LRC
Tue Jul 28 22:24:16 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 22:24:16 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 22:24:16 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 22:24:16 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 22:24:16 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 22:24:16 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.09
Tue Jul 28 22:24:16 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 22:24:16 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 22:24:16 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.08
Tue Jul 28 22:24:16 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 22:24:16 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:24:16 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:24:16 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.06
Tue Jul 28 22:24:16 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:24:16 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:24:16 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:24:16 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:24:16 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:24:16 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.08
Tue Jul 28 22:24:16 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:24:16 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:24:16 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.08
Tue Jul 28 22:24:16 2020 Best:
Tue Jul 28 22:24:16 2020 index: 18
Tue Jul 28 22:24:16 2020 score: 0.7389830508474576
Tue Jul 28 22:24:16 2020 params: {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:24:16 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='saga'))])
Tue Jul 28 22:24:17 2020               precision    recall  f1-score   support

 concurrency       0.75      0.72      0.73        25
      memory       0.70      0.73      0.71        22
    semantic       0.81      0.81      0.81        27

    accuracy                           0.76        74
   macro avg       0.75      0.75      0.75        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 22:24:17 2020 at iteration: 96
Tue Jul 28 22:24:17 2020 n_samples: 369
Tue Jul 28 22:24:17 2020 at classifier: MNB
Tue Jul 28 22:25:03 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:25:03 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:25:03 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:25:03 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.07
Tue Jul 28 22:25:03 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:25:03 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:25:03 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:25:03 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:25:03 2020 Best:
Tue Jul 28 22:25:03 2020 index: 1
Tue Jul 28 22:25:03 2020 score: 0.7322033898305086
Tue Jul 28 22:25:03 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:25:03 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 22:25:04 2020               precision    recall  f1-score   support

 concurrency       0.77      0.68      0.72        25
      memory       0.83      0.68      0.75        28
    semantic       0.59      0.81      0.68        21

    accuracy                           0.72        74
   macro avg       0.73      0.72      0.72        74
weighted avg       0.74      0.72      0.72        74

Tue Jul 28 22:25:04 2020 at classifier: LSVC
Tue Jul 28 22:25:28 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:25:28 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:25:28 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:25:28 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:25:28 2020 Best:
Tue Jul 28 22:25:28 2020 index: 1
Tue Jul 28 22:25:28 2020 score: 0.7220338983050847
Tue Jul 28 22:25:28 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:25:28 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 22:25:29 2020               precision    recall  f1-score   support

 concurrency       0.76      0.64      0.70        25
      memory       0.85      0.61      0.71        28
    semantic       0.61      0.95      0.74        21

    accuracy                           0.72        74
   macro avg       0.74      0.73      0.71        74
weighted avg       0.75      0.72      0.71        74

Tue Jul 28 22:25:29 2020 at classifier: SGDC
Tue Jul 28 22:25:53 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.07
Tue Jul 28 22:25:53 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.58; std - 0.08
Tue Jul 28 22:25:53 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:25:53 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:25:53 2020 Best:
Tue Jul 28 22:25:53 2020 index: 3
Tue Jul 28 22:25:53 2020 score: 0.7152542372881355
Tue Jul 28 22:25:53 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:25:53 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:25:54 2020               precision    recall  f1-score   support

 concurrency       0.85      0.68      0.76        25
      memory       0.85      0.61      0.71        28
    semantic       0.59      0.95      0.73        21

    accuracy                           0.73        74
   macro avg       0.76      0.75      0.73        74
weighted avg       0.78      0.73      0.73        74

Tue Jul 28 22:25:54 2020 at classifier: RFC
Tue Jul 28 22:26:22 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.07
Tue Jul 28 22:26:22 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.06
Tue Jul 28 22:26:22 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.08
Tue Jul 28 22:26:22 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.06
Tue Jul 28 22:26:22 2020 Best:
Tue Jul 28 22:26:22 2020 index: 0
Tue Jul 28 22:26:22 2020 score: 0.6169491525423728
Tue Jul 28 22:26:22 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:26:22 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 22:26:23 2020               precision    recall  f1-score   support

 concurrency       0.83      0.40      0.54        25
      memory       0.82      0.32      0.46        28
    semantic       0.37      0.90      0.53        21

    accuracy                           0.51        74
   macro avg       0.67      0.54      0.51        74
weighted avg       0.70      0.51      0.51        74

Tue Jul 28 22:26:23 2020 at classifier: LRC
Tue Jul 28 22:30:45 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:30:45 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:30:45 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:30:45 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:30:45 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:30:45 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:30:45 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:30:45 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:30:45 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:30:45 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:30:45 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:30:45 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:30:45 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:30:45 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:30:45 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:30:45 2020 Best:
Tue Jul 28 22:30:45 2020 index: 15
Tue Jul 28 22:30:45 2020 score: 0.7322033898305086
Tue Jul 28 22:30:45 2020 params: {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:30:45 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=6, random_state=42, solver='liblinear'))])
Tue Jul 28 22:30:45 2020               precision    recall  f1-score   support

 concurrency       0.89      0.68      0.77        25
      memory       0.84      0.57      0.68        28
    semantic       0.56      0.95      0.70        21

    accuracy                           0.72        74
   macro avg       0.76      0.73      0.72        74
weighted avg       0.78      0.72      0.72        74

Tue Jul 28 22:30:45 2020 at iteration: 97
Tue Jul 28 22:30:45 2020 n_samples: 369
Tue Jul 28 22:30:45 2020 at classifier: MNB
Tue Jul 28 22:31:32 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:31:32 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.03
Tue Jul 28 22:31:32 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:31:32 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 22:31:32 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 22:31:32 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.02
Tue Jul 28 22:31:32 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 22:31:32 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 22:31:32 2020 Best:
Tue Jul 28 22:31:32 2020 index: 4
Tue Jul 28 22:31:32 2020 score: 0.7016949152542373
Tue Jul 28 22:31:32 2020 params: {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:31:32 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1))])
Tue Jul 28 22:31:32 2020               precision    recall  f1-score   support

 concurrency       0.71      0.87      0.78        23
      memory       0.79      0.70      0.75        27
    semantic       0.82      0.75      0.78        24

    accuracy                           0.77        74
   macro avg       0.77      0.77      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 22:31:32 2020 at classifier: LSVC
Tue Jul 28 22:31:57 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.07
Tue Jul 28 22:31:57 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:31:57 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:31:57 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:31:57 2020 Best:
Tue Jul 28 22:31:57 2020 index: 2
Tue Jul 28 22:31:57 2020 score: 0.688135593220339
Tue Jul 28 22:31:57 2020 params: {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:31:57 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, random_state=42))])
Tue Jul 28 22:31:57 2020               precision    recall  f1-score   support

 concurrency       0.71      0.87      0.78        23
      memory       0.75      0.67      0.71        27
    semantic       0.82      0.75      0.78        24

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 22:31:57 2020 at classifier: SGDC
Tue Jul 28 22:32:22 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.55; std - 0.06
Tue Jul 28 22:32:22 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.04
Tue Jul 28 22:32:22 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 22:32:22 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:32:22 2020 Best:
Tue Jul 28 22:32:22 2020 index: 3
Tue Jul 28 22:32:22 2020 score: 0.6949152542372882
Tue Jul 28 22:32:22 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:32:22 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:32:22 2020               precision    recall  f1-score   support

 concurrency       0.68      0.74      0.71        23
      memory       0.86      0.70      0.78        27
    semantic       0.78      0.88      0.82        24

    accuracy                           0.77        74
   macro avg       0.77      0.77      0.77        74
weighted avg       0.78      0.77      0.77        74

Tue Jul 28 22:32:22 2020 at classifier: RFC
Tue Jul 28 22:32:52 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.04
Tue Jul 28 22:32:52 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.04
Tue Jul 28 22:32:52 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.61; std - 0.03
Tue Jul 28 22:32:52 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.53; std - 0.03
Tue Jul 28 22:32:52 2020 Best:
Tue Jul 28 22:32:52 2020 index: 2
Tue Jul 28 22:32:52 2020 score: 0.6135593220338983
Tue Jul 28 22:32:52 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:32:52 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 22:32:52 2020               precision    recall  f1-score   support

 concurrency       0.87      0.57      0.68        23
      memory       0.90      0.33      0.49        27
    semantic       0.49      1.00      0.66        24

    accuracy                           0.62        74
   macro avg       0.75      0.63      0.61        74
weighted avg       0.76      0.62      0.60        74

Tue Jul 28 22:32:52 2020 at classifier: LRC
Tue Jul 28 22:37:20 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 22:37:20 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 22:37:20 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 22:37:20 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 22:37:20 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 22:37:20 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.04
Tue Jul 28 22:37:20 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 22:37:20 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.05
Tue Jul 28 22:37:20 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.06
Tue Jul 28 22:37:20 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 22:37:20 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:37:20 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 22:37:20 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.06
Tue Jul 28 22:37:20 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 22:37:20 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 22:37:20 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 22:37:20 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.05
Tue Jul 28 22:37:20 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 22:37:20 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 22:37:20 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.66; std - 0.06
Tue Jul 28 22:37:20 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.05
Tue Jul 28 22:37:20 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.05
Tue Jul 28 22:37:20 2020 Best:
Tue Jul 28 22:37:20 2020 index: 38
Tue Jul 28 22:37:20 2020 score: 0.6949152542372882
Tue Jul 28 22:37:20 2020 params: {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:37:20 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=10, random_state=42, solver='saga'))])
Tue Jul 28 22:37:20 2020               precision    recall  f1-score   support

 concurrency       0.74      0.87      0.80        23
      memory       0.72      0.67      0.69        27
    semantic       0.82      0.75      0.78        24

    accuracy                           0.76        74
   macro avg       0.76      0.76      0.76        74
weighted avg       0.76      0.76      0.76        74

Tue Jul 28 22:37:20 2020 at iteration: 98
Tue Jul 28 22:37:20 2020 n_samples: 369
Tue Jul 28 22:37:20 2020 at classifier: MNB
Tue Jul 28 22:38:06 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 22:38:06 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:38:06 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 22:38:06 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 22:38:06 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.06
Tue Jul 28 22:38:06 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:38:06 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.68; std - 0.04
Tue Jul 28 22:38:06 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.69; std - 0.04
Tue Jul 28 22:38:06 2020 Best:
Tue Jul 28 22:38:06 2020 index: 1
Tue Jul 28 22:38:06 2020 score: 0.7186440677966102
Tue Jul 28 22:38:06 2020 params: {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:38:06 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=0.4))])
Tue Jul 28 22:38:07 2020               precision    recall  f1-score   support

 concurrency       0.80      0.74      0.77        27
      memory       0.93      0.47      0.62        30
    semantic       0.50      1.00      0.67        17

    accuracy                           0.69        74
   macro avg       0.74      0.74      0.69        74
weighted avg       0.79      0.69      0.69        74

Tue Jul 28 22:38:07 2020 at classifier: LSVC
Tue Jul 28 22:38:31 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.03
Tue Jul 28 22:38:31 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:38:31 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.04
Tue Jul 28 22:38:31 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 22:38:31 2020 Best:
Tue Jul 28 22:38:31 2020 index: 1
Tue Jul 28 22:38:31 2020 score: 0.7084745762711864
Tue Jul 28 22:38:31 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:38:31 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 22:38:32 2020               precision    recall  f1-score   support

 concurrency       0.88      0.78      0.82        27
      memory       0.94      0.57      0.71        30
    semantic       0.53      1.00      0.69        17

    accuracy                           0.74        74
   macro avg       0.78      0.78      0.74        74
weighted avg       0.82      0.74      0.75        74

Tue Jul 28 22:38:32 2020 at classifier: SGDC
Tue Jul 28 22:38:56 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.56; std - 0.04
Tue Jul 28 22:38:56 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.54; std - 0.03
Tue Jul 28 22:38:56 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.04
Tue Jul 28 22:38:56 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:38:56 2020 Best:
Tue Jul 28 22:38:56 2020 index: 3
Tue Jul 28 22:38:56 2020 score: 0.7152542372881356
Tue Jul 28 22:38:56 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:38:56 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:38:56 2020               precision    recall  f1-score   support

 concurrency       0.79      0.70      0.75        27
      memory       0.94      0.53      0.68        30
    semantic       0.52      1.00      0.68        17

    accuracy                           0.70        74
   macro avg       0.75      0.75      0.70        74
weighted avg       0.79      0.70      0.70        74

Tue Jul 28 22:38:56 2020 at classifier: RFC
Tue Jul 28 22:39:25 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 22:39:25 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.06
Tue Jul 28 22:39:25 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.57; std - 0.05
Tue Jul 28 22:39:25 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.51; std - 0.06
Tue Jul 28 22:39:25 2020 Best:
Tue Jul 28 22:39:25 2020 index: 0
Tue Jul 28 22:39:25 2020 score: 0.5694915254237287
Tue Jul 28 22:39:25 2020 params: {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:39:25 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(max_depth=3, n_estimators=200,
                                        random_state=42))])
Tue Jul 28 22:39:25 2020               precision    recall  f1-score   support

 concurrency       0.82      0.33      0.47        27
      memory       1.00      0.40      0.57        30
    semantic       0.33      1.00      0.50        17

    accuracy                           0.51        74
   macro avg       0.72      0.58      0.52        74
weighted avg       0.78      0.51      0.52        74

Tue Jul 28 22:39:25 2020 at classifier: LRC
Tue Jul 28 22:43:43 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:43:43 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:43:43 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:43:43 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.06
Tue Jul 28 22:43:43 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:43:43 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:43:43 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:43:43 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:43:43 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:43:43 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.06
Tue Jul 28 22:43:43 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:43:43 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:43:43 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:43:43 2020 Best:
Tue Jul 28 22:43:43 2020 index: 4
Tue Jul 28 22:43:43 2020 score: 0.7254237288135593
Tue Jul 28 22:43:43 2020 params: {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:43:43 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='liblinear'))])
Tue Jul 28 22:43:44 2020               precision    recall  f1-score   support

 concurrency       0.83      0.70      0.76        27
      memory       0.89      0.53      0.67        30
    semantic       0.52      1.00      0.68        17

    accuracy                           0.70        74
   macro avg       0.74      0.75      0.70        74
weighted avg       0.78      0.70      0.70        74

Tue Jul 28 22:43:44 2020 at iteration: 99
Tue Jul 28 22:43:44 2020 n_samples: 369
Tue Jul 28 22:43:44 2020 at classifier: MNB
Tue Jul 28 22:44:33 2020 0params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:44:33 2020 1params - {'clf__alpha': 0.4, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.70; std - 0.05
Tue Jul 28 22:44:33 2020 2params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.05
Tue Jul 28 22:44:33 2020 3params - {'clf__alpha': 0.4, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:44:33 2020 4params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:44:33 2020 5params - {'clf__alpha': 1, 'clf__fit_prior': True, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.71; std - 0.05
Tue Jul 28 22:44:33 2020 6params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.04
Tue Jul 28 22:44:33 2020 7params - {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:44:33 2020 Best:
Tue Jul 28 22:44:33 2020 index: 7
Tue Jul 28 22:44:33 2020 score: 0.7254237288135593
Tue Jul 28 22:44:33 2020 params: {'clf__alpha': 1, 'clf__fit_prior': False, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:44:33 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', MultinomialNB(alpha=1, fit_prior=False))])
Tue Jul 28 22:44:34 2020               precision    recall  f1-score   support

 concurrency       0.58      0.56      0.57        25
      memory       0.44      0.67      0.53        18
    semantic       0.74      0.55      0.63        31

    accuracy                           0.58        74
   macro avg       0.59      0.59      0.58        74
weighted avg       0.61      0.58      0.59        74

Tue Jul 28 22:44:34 2020 at classifier: LSVC
Tue Jul 28 22:45:00 2020 0params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:45:00 2020 1params - {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 22:45:00 2020 2params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:45:00 2020 3params - {'clf__C': 1, 'clf__loss': 'squared_hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.05
Tue Jul 28 22:45:00 2020 Best:
Tue Jul 28 22:45:00 2020 index: 1
Tue Jul 28 22:45:00 2020 score: 0.7423728813559323
Tue Jul 28 22:45:00 2020 params: {'clf__C': 1, 'clf__loss': 'hinge', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:45:00 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', LinearSVC(C=1, loss='hinge', random_state=42))])
Tue Jul 28 22:45:00 2020               precision    recall  f1-score   support

 concurrency       0.65      0.52      0.58        25
      memory       0.62      0.56      0.59        18
    semantic       0.71      0.87      0.78        31

    accuracy                           0.68        74
   macro avg       0.66      0.65      0.65        74
weighted avg       0.67      0.68      0.67        74

Tue Jul 28 22:45:00 2020 at classifier: SGDC
Tue Jul 28 22:45:25 2020 0params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.04
Tue Jul 28 22:45:25 2020 1params - {'clf__alpha': 0.1, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.60; std - 0.03
Tue Jul 28 22:45:25 2020 2params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.75; std - 0.02
Tue Jul 28 22:45:25 2020 3params - {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:45:25 2020 Best:
Tue Jul 28 22:45:25 2020 index: 2
Tue Jul 28 22:45:25 2020 score: 0.7491525423728813
Tue Jul 28 22:45:25 2020 params: {'clf__alpha': 0.01, 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:45:25 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf', SGDClassifier(alpha=0.01, random_state=42))])
Tue Jul 28 22:45:25 2020               precision    recall  f1-score   support

 concurrency       0.57      0.52      0.54        25
      memory       0.67      0.56      0.61        18
    semantic       0.69      0.81      0.75        31

    accuracy                           0.65        74
   macro avg       0.64      0.63      0.63        74
weighted avg       0.64      0.65      0.64        74

Tue Jul 28 22:45:25 2020 at classifier: RFC
Tue Jul 28 22:45:56 2020 0params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.04
Tue Jul 28 22:45:56 2020 1params - {'clf__criterion': 'gini', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.62; std - 0.09
Tue Jul 28 22:45:56 2020 2params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.67; std - 0.03
Tue Jul 28 22:45:56 2020 3params - {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.63; std - 0.07
Tue Jul 28 22:45:56 2020 Best:
Tue Jul 28 22:45:56 2020 index: 2
Tue Jul 28 22:45:56 2020 score: 0.6745762711864407
Tue Jul 28 22:45:56 2020 params: {'clf__criterion': 'entropy', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:45:56 2020 estimator: Pipeline(steps=[('vect', StemmedCountVectorizer(stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 RandomForestClassifier(criterion='entropy', max_depth=3,
                                        n_estimators=200, random_state=42))])
Tue Jul 28 22:45:57 2020               precision    recall  f1-score   support

 concurrency       0.73      0.44      0.55        25
      memory       0.48      0.61      0.54        18
    semantic       0.64      0.74      0.69        31

    accuracy                           0.61        74
   macro avg       0.62      0.60      0.59        74
weighted avg       0.63      0.61      0.60        74

Tue Jul 28 22:45:57 2020 at classifier: LRC
Tue Jul 28 22:50:33 2020 0params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 1params - {'clf__C': 4, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 2params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 3params - {'clf__C': 4, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 4params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 5params - {'clf__C': 4, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 6params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 7params - {'clf__C': 4, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 8params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 9params - {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 22:50:33 2020 10params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 11params - {'clf__C': 6, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 12params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 13params - {'clf__C': 6, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 14params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 15params - {'clf__C': 6, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.05
Tue Jul 28 22:50:33 2020 16params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 17params - {'clf__C': 6, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 18params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 19params - {'clf__C': 6, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 20params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 21params - {'clf__C': 8, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 22params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 23params - {'clf__C': 8, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 24params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 25params - {'clf__C': 8, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 26params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 27params - {'clf__C': 8, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 28params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 29params - {'clf__C': 8, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 22:50:33 2020 30params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 31params - {'clf__C': 10, 'clf__solver': 'newton-cg', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:50:33 2020 32params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 33params - {'clf__C': 10, 'clf__solver': 'lbfgs', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:50:33 2020 34params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 35params - {'clf__C': 10, 'clf__solver': 'liblinear', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.04
Tue Jul 28 22:50:33 2020 36params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 37params - {'clf__C': 10, 'clf__solver': 'sag', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.73; std - 0.03
Tue Jul 28 22:50:33 2020 38params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 1), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.72; std - 0.03
Tue Jul 28 22:50:33 2020 39params - {'clf__C': 10, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}; mean - 0.74; std - 0.04
Tue Jul 28 22:50:33 2020 Best:
Tue Jul 28 22:50:33 2020 index: 9
Tue Jul 28 22:50:33 2020 score: 0.735593220338983
Tue Jul 28 22:50:33 2020 params: {'clf__C': 4, 'clf__solver': 'saga', 'tfidf__use_idf': False, 'vect__ngram_range': (1, 2), 'vect__stemming': True, 'vect__stop_words': 'english'}
Tue Jul 28 22:50:33 2020 estimator: Pipeline(steps=[('vect',
                 StemmedCountVectorizer(ngram_range=(1, 2),
                                        stop_words='english')),
                ('tfidf', TfidfTransformer(use_idf=False)),
                ('clf',
                 LogisticRegression(C=4, random_state=42, solver='saga'))])
Tue Jul 28 22:50:33 2020               precision    recall  f1-score   support

 concurrency       0.58      0.44      0.50        25
      memory       0.59      0.56      0.57        18
    semantic       0.68      0.84      0.75        31

    accuracy                           0.64        74
   macro avg       0.62      0.61      0.61        74
weighted avg       0.63      0.64      0.62        74

