what is grid.best_params_ do
clf = GridSearchCV(estimator=RandomForestClassifier(), param_grid=parameter_candidates, cv=5, refit=True, error_score=0, n_jobs=-1) clf.fit(training_set, training_classifications) optimised_random_forest = clf.best_estimator_ return optimised_random_forest