5678 2568 sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier) sklearn.ensemble.voting_classifier.VotingClassifier 1 sklearn==0.18.1 Automatically created scikit-learn flow. 2017-03-09T15:35:47 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 estimators [{"oml-python:serialized_object": "component_reference", "value": {"step_name": "rf", "key": "rf"}}] n_jobs -1 voting "soft" weights [1] rf 5500 762 sklearn.ensemble.forest.RandomForestClassifier sklearn.ensemble.forest.RandomForestClassifier 16 sklearn==0.18.1 Automatically created sub-component. 2017-02-23T15:33:12 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 bootstrap true class_weight null criterion "gini" max_depth null max_features "auto" max_leaf_nodes null min_impurity_split 1e-07 min_samples_leaf 1 min_samples_split 2 min_weight_fraction_leaf 0.0 n_estimators 10 n_jobs 1 oob_score false random_state null verbose 0 warm_start false study_73 Verified_Learning_Curve,Verified_Supervised_Classification