5796 2608 sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,Feature_Removal=sklearn.feature_selection.univariate_selection.SelectKBest,Classifier=sklearn.ensemble.forest.RandomForestClassifier) sklearn.pipeline.Pipeline 1 sklearn==0.18.1 Automatically created scikit-learn flow. 2017-03-15T18:32:22 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "OneHotEncoder", "step_name": "OneHotEncoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Feature_Removal", "step_name": "Feature_Removal"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "Classifier", "step_name": "Classifier"}}] Classifier 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 Imputer 5508 1104 sklearn.preprocessing.imputation.Imputer sklearn.preprocessing.imputation.Imputer 3 sklearn==0.18.1 Automatically created sub-component. 2017-02-26T02:53:11 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 axis 0 copy true missing_values "NaN" strategy "median" verbose 0 OneHotEncoder 5509 1104 sklearn.preprocessing.data.OneHotEncoder sklearn.preprocessing.data.OneHotEncoder 3 sklearn==0.18.1 Automatically created sub-component. 2017-02-26T02:53:11 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 categorical_features [false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false] dtype {"oml-python:serialized_object": "type", "value": "np.float64"} handle_unknown "ignore" n_values "auto" sparse false Feature_Removal 5748 2451 sklearn.feature_selection.univariate_selection.SelectKBest sklearn.feature_selection.univariate_selection.SelectKBest 1 sklearn==0.18.1 Automatically created scikit-learn flow. 2017-03-13T11:11:49 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 k 2 score_func {"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.chi2"} Verified_Supervised_Classification