5768 2514 sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.ExtraTreesClassifier,weights=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier,n_jobs=xgboost.sklearn.XGBClassifier) sklearn.ensemble.voting_classifier.VotingClassifier 1 sklearn==0.18.1,xgboost==0.6 Automatically created scikit-learn flow. 2017-03-13T15:16:47 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 estimators [{"oml-python:serialized_object": "component_reference", "value": {"key": "estimators", "step_name": "estimators"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "weights", "step_name": "weights"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "n_jobs", "step_name": "n_jobs"}}] n_jobs -1 voting "soft" weights null n_jobs 5521 1936 xgboost.sklearn.XGBClassifier xgboost.sklearn.XGBClassifier 3 xgboost==0.6 Automatically created sub-component. 2017-02-27T13:22:04 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 base_score 0.5 colsample_bylevel 1 colsample_bytree 1 gamma 0 learning_rate 0.1 max_delta_step 0 max_depth 3 min_child_weight 1 missing null n_estimators 100 nthread -1 objective "binary:logistic" reg_alpha 0 reg_lambda 1 scale_pos_weight 1 seed 0 silent true subsample 1 Verified_Supervised_Classification estimators 5604 2568 sklearn.ensemble.forest.ExtraTreesClassifier sklearn.ensemble.forest.ExtraTreesClassifier 5 sklearn==0.18.1 Automatically created sub-component. 2017-03-02T23:49:17 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 bootstrap false 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 100 n_jobs -1 oob_score false random_state null verbose 0 warm_start false Verified_Supervised_Classification weights 5626 2568 sklearn.ensemble.gradient_boosting.GradientBoostingClassifier sklearn.ensemble.gradient_boosting.GradientBoostingClassifier 3 sklearn==0.18.1 Automatically created sub-component. 2017-03-03T12:47:56 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 criterion "friedman_mse" init null learning_rate 0.05 loss "deviance" max_depth 6 max_features null 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 50 presort "auto" random_state null subsample 0.5 verbose 0 warm_start false Verified_Supervised_Classification Verified_Supervised_Classification