Run 9895084

Task 45 (Supervised Classification) splice Uploaded 07-12-2018 by Jan van Rijn
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Flow

sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transfo rmer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.pr eprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.St andardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.imput e.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder )),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceT hreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.Grad ientBoostingClassifier)(2)	Automatically created scikit-learn flow.
sklearn.preprocessing.imputation.Imputer(29)_axis	0
sklearn.preprocessing.imputation.Imputer(29)_copy	true
sklearn.preprocessing.imputation.Imputer(29)_missing_values	"NaN"
sklearn.preprocessing.imputation.Imputer(29)_strategy	"most_frequent"
sklearn.preprocessing.imputation.Imputer(29)_verbose	0
sklearn.preprocessing.data.StandardScaler(14)_copy	true
sklearn.preprocessing.data.StandardScaler(14)_with_mean	true
sklearn.preprocessing.data.StandardScaler(14)_with_std	true
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)(1)_memory	null
sklearn.impute.SimpleImputer(1)_copy	true
sklearn.impute.SimpleImputer(1)_fill_value	-1
sklearn.impute.SimpleImputer(1)_missing_values	NaN
sklearn.impute.SimpleImputer(1)_strategy	"constant"
sklearn.impute.SimpleImputer(1)_verbose	0
sklearn.preprocessing._encoders.OneHotEncoder(3)_categorical_features	null
sklearn.preprocessing._encoders.OneHotEncoder(3)_categories	null
sklearn.preprocessing._encoders.OneHotEncoder(3)_dtype	{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing._encoders.OneHotEncoder(3)_handle_unknown	"ignore"
sklearn.preprocessing._encoders.OneHotEncoder(3)_n_values	null
sklearn.preprocessing._encoders.OneHotEncoder(3)_sparse	true
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_criterion	"mae"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_init	null
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_learning_rate	0.5771957464481502
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_loss	"deviance"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_depth	2
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_features	0.44085182107633103
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_max_leaf_nodes	null
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_impurity_decrease	0.4157262873776967
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_impurity_split	null
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_samples_leaf	7
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_samples_split	12
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_min_weight_fraction_leaf	0.11008611674735674
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_n_estimators	104
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_n_iter_no_change	349
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_presort	"auto"
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_random_state	16416
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_subsample	0.0055943620171178265
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_tol	0.011863571673219327
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_validation_fraction	0.5946310193202616
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_verbose	0
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier(14)_warm_start	false
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))(1)_n_jobs	null
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))(1)_remainder	"passthrough"
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))(1)_sparse_threshold	0.3
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))(1)_transformer_weights	null
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler)(1)_memory	null
sklearn.feature_selection.variance_threshold.VarianceThreshold(18)_threshold	0.0
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)(2)_memory	null