10226521 1 Jan van Rijn 3494 Supervised Classification 9666 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)(4) 8151953 copy true 9559 fill_value -1 9559 missing_values NaN 9559 strategy "constant" 9559 verbose 0 9559 n_jobs null 9606 remainder "passthrough" 9606 sparse_threshold 0.3 9606 transformer_weights null 9606 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1, 2, 3, 4, 5]}}] 9606 memory null 9607 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"}}] 9607 axis 0 9608 copy true 9608 missing_values "NaN" 9608 strategy "mean" 9608 verbose 0 9608 copy true 9609 with_mean true 9609 with_std true 9609 memory null 9610 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"}}] 9610 categorical_features null 9611 categories null 9611 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 9611 handle_unknown "ignore" 9611 n_values null 9611 sparse true 9611 threshold 0.0 9612 memory null 9666 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"}}] 9666 criterion "mse" 9667 init null 9667 learning_rate 0.0030484830820510975 9667 loss "deviance" 9667 max_depth 31 9667 max_features 0.08269285760141776 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.3178196606646779 9667 min_impurity_split null 9667 min_samples_leaf 3 9667 min_samples_split 5 9667 min_weight_fraction_leaf 0.038779607408116534 9667 n_estimators 1430 9667 n_iter_no_change 425 9667 presort "auto" 9667 random_state 3403 9667 subsample 0.5178516725374223 9667 tol 0.00045903090830542255 9667 validation_fraction 0.6542414261856088 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 335 monks-problems-3 https://www.openml.org/data/download/52238/phphZierv -1 21373958 description https://api.openml.org/data/download/21373958/description.xml -1 21373959 predictions https://api.openml.org/data/download/21373959/predictions.arff area_under_roc_curve 0.5016186299081036 [0.501619,0.501619] average_cost 0 kappa 0 kb_relative_information_score 1.1077858723743903 mean_absolute_error 0.4984817499554734 mean_prior_absolute_error 0.4992143469340059 number_of_instances 554 [266,288] predictive_accuracy 0.51985559566787 prior_entropy 0.9988703245161819 recall 0.51985559566787 [0,1] relative_absolute_error 0.9985325001514243 root_mean_prior_squared_error 0.49960560487440536 root_mean_squared_error 0.499933571917043 root_relative_squared_error 1.0006564518881251 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.08096382743643397 kb_relative_information_score 0.08096382743643397 kb_relative_information_score 0.08096382743643397 kb_relative_information_score 0.08096382743643397 kb_relative_information_score 0.05599504018776104 kb_relative_information_score 0.05599504018776104 kb_relative_information_score 0.1679851205632831 kb_relative_information_score 0.1679851205632831 kb_relative_information_score 0.1679851205632831 kb_relative_information_score 0.1679851205632831 mean_absolute_error 0.4987657539961422 mean_absolute_error 0.4987657539961422 mean_absolute_error 0.4987657539961422 mean_absolute_error 0.4987657539961422 mean_absolute_error 0.49926670205220264 mean_absolute_error 0.49926670205220264 mean_absolute_error 0.497800106156608 mean_absolute_error 0.497800106156608 mean_absolute_error 0.497800106156608 mean_absolute_error 0.497800106156608 mean_prior_absolute_error 0.4992934224049325 mean_prior_absolute_error 0.4992934224049325 mean_prior_absolute_error 0.4992934224049325 mean_prior_absolute_error 0.4992934224049325 mean_prior_absolute_error 0.4996402877697835 mean_prior_absolute_error 0.4996402877697835 mean_prior_absolute_error 0.49892086330935187 mean_prior_absolute_error 0.49892086330935187 mean_prior_absolute_error 0.49892086330935187 mean_prior_absolute_error 0.49892086330935187 number_of_instances 56 [27,29] number_of_instances 56 [27,29] number_of_instances 56 [27,29] number_of_instances 56 [27,29] number_of_instances 55 [27,28] number_of_instances 55 [27,28] number_of_instances 55 [26,29] number_of_instances 55 [26,29] number_of_instances 55 [26,29] number_of_instances 55 [26,29] predictive_accuracy 0.5178571428571428 predictive_accuracy 0.5178571428571428 predictive_accuracy 0.5178571428571428 predictive_accuracy 0.5178571428571428 predictive_accuracy 0.509090909090909 predictive_accuracy 0.509090909090909 predictive_accuracy 0.5272727272727272 predictive_accuracy 0.5272727272727272 predictive_accuracy 0.5272727272727272 predictive_accuracy 0.5272727272727272 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 prior_entropy 0.9988703245161819 recall 0.5178571428571429 [0,1] recall 0.5178571428571429 [0,1] recall 0.5178571428571429 [0,1] recall 0.5178571428571429 [0,1] recall 0.509090909090909 [0,1] recall 0.509090909090909 [0,1] recall 0.5272727272727272 [0,1] recall 0.5272727272727272 [0,1] recall 0.5272727272727272 [0,1] recall 0.5272727272727272 [0,1] relative_absolute_error 0.9989431697172201 relative_absolute_error 0.9989431697172201 relative_absolute_error 0.9989431697172201 relative_absolute_error 0.9989431697172201 relative_absolute_error 0.9992522906444385 relative_absolute_error 0.9992522906444385 relative_absolute_error 0.9977536374299726 relative_absolute_error 0.9977536374299726 relative_absolute_error 0.9977536374299726 relative_absolute_error 0.9977536374299726 root_mean_prior_squared_error 0.49968473650177464 root_mean_prior_squared_error 0.49968473650177464 root_mean_prior_squared_error 0.49968473650177464 root_mean_prior_squared_error 0.49968473650177464 root_mean_prior_squared_error 0.5000317002527929 root_mean_prior_squared_error 0.5000317002527929 root_mean_prior_squared_error 0.49931180318240753 root_mean_prior_squared_error 0.49931180318240753 root_mean_prior_squared_error 0.49931180318240753 root_mean_prior_squared_error 0.49931180318240753 root_mean_squared_error 0.4999600691489316 root_mean_squared_error 0.4999600691489316 root_mean_squared_error 0.4999600691489316 root_mean_squared_error 0.4999600691489316 root_mean_squared_error 0.5008925262368564 root_mean_squared_error 0.5008925262368564 root_mean_squared_error 0.49942639792500493 root_mean_squared_error 0.49942639792500493 root_mean_squared_error 0.49942639792500493 root_mean_squared_error 0.49942639792500493 root_relative_squared_error 1.0005510127227109 root_relative_squared_error 1.0005510127227109 root_relative_squared_error 1.0005510127227109 root_relative_squared_error 1.0005510127227109 root_relative_squared_error 1.0017215428214419 root_relative_squared_error 1.0017215428214419 root_relative_squared_error 1.0002295053749322 root_relative_squared_error 1.0002295053749322 root_relative_squared_error 1.0002295053749322 root_relative_squared_error 1.0002295053749322 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 203.98697500058915 usercpu_time_millis 202.8327369989711 usercpu_time_millis 201.70403600059217 usercpu_time_millis 186.48388599831378 usercpu_time_millis 185.75593800051138 usercpu_time_millis 185.7725070003653 usercpu_time_millis 185.29555100394646 usercpu_time_millis 186.04477500048233 usercpu_time_millis 187.95590800436912 usercpu_time_millis 186.94244499056367 usercpu_time_millis_testing 1.799231999029871 usercpu_time_millis_testing 1.9788520003203303 usercpu_time_millis_testing 2.0048130027134903 usercpu_time_millis_testing 1.7210700025316328 usercpu_time_millis_testing 1.6693930010660551 usercpu_time_millis_testing 1.650407000852283 usercpu_time_millis_testing 1.668774006247986 usercpu_time_millis_testing 1.7409610009053722 usercpu_time_millis_testing 1.7577350008650683 usercpu_time_millis_testing 1.8546649953350425 usercpu_time_millis_training 202.18774300155928 usercpu_time_millis_training 200.85388499865076 usercpu_time_millis_training 199.69922299787868 usercpu_time_millis_training 184.76281599578215 usercpu_time_millis_training 184.08654499944532 usercpu_time_millis_training 184.122099999513 usercpu_time_millis_training 183.62677699769847 usercpu_time_millis_training 184.30381399957696 usercpu_time_millis_training 186.19817300350405 usercpu_time_millis_training 185.08777999522863