8834 6892 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier) sklearn.pipeline.Pipeline 1 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] columntransformer 8835 6892 sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)) sklearn.compose._column_transformer.ColumnTransformer 2 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 n_jobs null remainder "passthrough" sparse_threshold 0.3 transformer_weights null transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] numeric 8836 6892 sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler) sklearn.pipeline.Pipeline 2 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] imputer 8837 6892 sklearn.preprocessing.imputation.Imputer sklearn.preprocessing.imputation.Imputer 31 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 axis 0 copy true missing_values "NaN" strategy "median" verbose 0 openml-python python scikit-learn sklearn sklearn_0.20.1 standardscaler 8838 6892 sklearn.preprocessing.data.StandardScaler sklearn.preprocessing.data.StandardScaler 17 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 copy true with_mean true with_std true openml-python python scikit-learn sklearn sklearn_0.20.1 openml-python python scikit-learn sklearn sklearn_0.20.1 nominal 8839 6892 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) sklearn.pipeline.Pipeline 2 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] simpleimputer 8840 6892 sklearn.impute.SimpleImputer sklearn.impute.SimpleImputer 2 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 copy true fill_value -1 missing_values NaN strategy "constant" verbose 0 openml-python python scikit-learn sklearn sklearn_0.20.1 onehotencoder 8841 6892 sklearn.preprocessing._encoders.OneHotEncoder sklearn.preprocessing._encoders.OneHotEncoder 5 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 categorical_features null categories null dtype {"oml-python:serialized_object": "type", "value": "np.float64"} handle_unknown "ignore" n_values null sparse true openml-python python scikit-learn sklearn sklearn_0.20.1 openml-python python scikit-learn sklearn sklearn_0.20.1 openml-python python scikit-learn sklearn sklearn_0.20.1 variancethreshold 8842 6892 sklearn.feature_selection.variance_threshold.VarianceThreshold sklearn.feature_selection.variance_threshold.VarianceThreshold 19 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 threshold 0.0 openml-python python scikit-learn sklearn sklearn_0.20.1 gradientboostingclassifier 8843 6892 sklearn.ensemble.gradient_boosting.GradientBoostingClassifier sklearn.ensemble.gradient_boosting.GradientBoostingClassifier 15 openml==0.8.0dev,sklearn==0.20.1 Automatically created scikit-learn flow. 2018-12-06T22:25:42 English sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 criterion "friedman_mse" init null learning_rate 1.5365532905902155 loss "deviance" max_depth 4 max_features 0.07464595595341839 max_leaf_nodes null min_impurity_decrease 0.45756186103317664 min_impurity_split null min_samples_leaf 3 min_samples_split 14 min_weight_fraction_leaf 0.22136727517792237 n_estimators 94 n_iter_no_change 103 presort "auto" random_state null subsample 0.6269334793098206 tol 0.05642873034084502 validation_fraction 0.7044437810275812 verbose 0 warm_start false openml-python python scikit-learn sklearn sklearn_0.20.1 openml-python python scikit-learn sklearn sklearn_0.20.1