Estimator: MultinomialNB
Strategy: one_vs_one
Oversample: False

Internal Cross Validation (GridSearch)
Best parameters: {'clf__estimator__alpha': 0.5, 'clf__estimator__fit_prior': False}
Best estimator: Pipeline(steps=[('clf',
                 OneVsOneClassifier(estimator=MultinomialNB(alpha=0.5,
                                                            fit_prior=False)))])
External Cross Validation (cross_val_score)
F1 weighted scores (averages): 
0.6339257250796166
