Estimator: RandomForestClassifier
Strategy: one_vs_one
Oversample: False

Internal Cross Validation (GridSearch)
Best parameters: {'clf__estimator__n_estimators': 125}
Best estimator: Pipeline(steps=[('clf',
                 OneVsOneClassifier(estimator=RandomForestClassifier(n_estimators=125,
                                                                     n_jobs=-1)))])
External Cross Validation (cross_val_score)
F1 weighted scores (averages): 
0.6095021129133276
