10226901 1 Jan van Rijn 125921 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) 8152333 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": [0, 1, 2, 3, 4, 5, 6]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] 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 "median" 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 "mae" 9667 init null 9667 learning_rate 0.00011726063171750891 9667 loss "deviance" 9667 max_depth 11 9667 max_features 0.4982736206088654 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.5540077330259617 9667 min_impurity_split null 9667 min_samples_leaf 13 9667 min_samples_split 4 9667 min_weight_fraction_leaf 0.29347726677943176 9667 n_estimators 65 9667 n_iter_no_change 1393 9667 presort "auto" 9667 random_state 9312 9667 subsample 0.9220514369983559 9667 tol 0.0022220807860336266 9667 validation_fraction 0.5208328316720371 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 40496 LED-display-domain-7digit https://www.openml.org/data/download/4535757/phpSj3fWL -1 21374718 description https://api.openml.org/data/download/21374718/description.xml -1 21374719 predictions https://api.openml.org/data/download/21374719/predictions.arff area_under_roc_curve 0.4958266327951149 [0.469475,0.47811,0.505459,0.484159,0.504293,0.51717,0.508219,0.50495,0.478895,0.501131] average_cost 0 kappa 0 kb_relative_information_score 8.267536610895586 mean_absolute_error 0.18000089531590152 mean_prior_absolute_error 0.17974901960784273 number_of_instances 500 [45,37,51,57,52,52,47,57,53,49] predictive_accuracy 0.094 prior_entropy 3.3126901837382854 recall 0.094 [0,0,0,0,0,0,1,0,0,0] relative_absolute_error 1.0014012633204248 root_mean_prior_squared_error 0.29978667283894056 root_mean_squared_error 0.3000104300807198 root_relative_squared_error 1.0007463882221992 total_cost 0 area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] 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 0.8572706069076068 kb_relative_information_score 0.8572706069076068 kb_relative_information_score 0.8047922315213065 kb_relative_information_score 0.8033759565318802 kb_relative_information_score 0.815964860077376 kb_relative_information_score 0.889006532255522 kb_relative_information_score 0.9090513206796974 kb_relative_information_score 0.7769348320048554 kb_relative_information_score 0.7769348320048554 kb_relative_information_score 0.7769348320048554 mean_absolute_error 0.18000983986863592 mean_absolute_error 0.18000983986863592 mean_absolute_error 0.18002985709134867 mean_absolute_error 0.18000986294603852 mean_absolute_error 0.18001577098518673 mean_absolute_error 0.1799919899877928 mean_absolute_error 0.17998394740785137 mean_absolute_error 0.17998594833450693 mean_absolute_error 0.17998594833450693 mean_absolute_error 0.17998594833450693 mean_prior_absolute_error 0.17978039215686284 mean_prior_absolute_error 0.17978039215686284 mean_prior_absolute_error 0.17974117647058832 mean_prior_absolute_error 0.17970980392156874 mean_prior_absolute_error 0.17975686274509817 mean_prior_absolute_error 0.17981960784313739 mean_prior_absolute_error 0.17984313725490206 mean_prior_absolute_error 0.17968627450980404 mean_prior_absolute_error 0.17968627450980404 mean_prior_absolute_error 0.17968627450980404 number_of_instances 50 [4,4,5,5,5,5,5,6,6,5] number_of_instances 50 [4,4,5,5,5,5,5,6,6,5] number_of_instances 50 [4,4,5,5,5,6,4,6,6,5] number_of_instances 50 [4,4,5,6,5,6,4,6,5,5] number_of_instances 50 [4,4,6,6,6,5,4,5,5,5] number_of_instances 50 [5,4,5,6,6,5,5,5,5,4] number_of_instances 50 [5,4,5,6,5,5,5,5,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] number_of_instances 50 [5,3,5,6,5,5,5,6,5,5] predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.08 predictive_accuracy 0.08 predictive_accuracy 0.08 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 prior_entropy 3.3126901837382854 recall 0.1 [0,0,0,0,0,0,1,0,0,0] recall 0.1 [0,0,0,0,0,0,1,0,0,0] recall 0.08 [0,0,0,0,0,0,1,0,0,0] recall 0.08 [0,0,0,0,0,0,1,0,0,0] recall 0.08 [0,0,0,0,0,0,1,0,0,0] recall 0.1 [0,0,0,0,0,0,1,0,0,0] recall 0.1 [0,0,0,0,0,0,1,0,0,0] recall 0.1 [0,0,0,0,0,0,1,0,0,0] recall 0.1 [0,0,0,0,0,0,1,0,0,0] recall 0.1 [0,0,0,0,0,0,1,0,0,0] relative_absolute_error 1.0012762666107262 relative_absolute_error 1.0012762666107262 relative_absolute_error 1.0016060906378208 relative_absolute_error 1.0016696864496093 relative_absolute_error 1.001440324648165 relative_absolute_error 1.000958639309267 relative_absolute_error 1.0007829609464038 relative_absolute_error 1.0016677613552867 relative_absolute_error 1.0016677613552867 relative_absolute_error 1.0016677613552867 root_mean_prior_squared_error 0.2998389930627122 root_mean_prior_squared_error 0.2998389930627122 root_mean_prior_squared_error 0.2997735913561878 root_mean_prior_squared_error 0.2997212597157016 root_mean_prior_squared_error 0.2997997537508937 root_mean_prior_squared_error 0.29990438050674706 root_mean_prior_squared_error 0.29994360613105325 root_mean_prior_squared_error 0.2996820049882915 root_mean_prior_squared_error 0.2996820049882915 root_mean_prior_squared_error 0.2996820049882915 root_mean_squared_error 0.3000255842213474 root_mean_squared_error 0.3000255842213474 root_mean_squared_error 0.30005817864004536 root_mean_squared_error 0.30002485967577963 root_mean_squared_error 0.3000349461179416 root_mean_squared_error 0.2999957502542377 root_mean_squared_error 0.29998234546496483 root_mean_squared_error 0.29998568052044927 root_mean_squared_error 0.29998568052044927 root_mean_squared_error 0.29998568052044927 root_relative_squared_error 1.000622304513263 root_relative_squared_error 1.000622304513263 root_relative_squared_error 1.0009493407426922 root_relative_squared_error 1.0010129410251578 root_relative_squared_error 1.0007844981995662 root_relative_squared_error 1.0003046629306855 root_relative_squared_error 1.0001291553916127 root_relative_squared_error 1.0010133258824454 root_relative_squared_error 1.0010133258824454 root_relative_squared_error 1.0010133258824454 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 445.4846900043776 usercpu_time_millis 422.03626099944813 usercpu_time_millis 391.8336230053683 usercpu_time_millis 423.52389000734547 usercpu_time_millis 392.89725700655254 usercpu_time_millis 392.55685600073775 usercpu_time_millis 394.06736800447106 usercpu_time_millis 392.6818740001181 usercpu_time_millis 393.25633399857907 usercpu_time_millis 394.22515399201075 usercpu_time_millis_testing 1.1267950030742213 usercpu_time_millis_testing 1.8311860039830208 usercpu_time_millis_testing 1.017567999952007 usercpu_time_millis_testing 1.1807460032287054 usercpu_time_millis_testing 0.9312050024163909 usercpu_time_millis_testing 1.0564080002950504 usercpu_time_millis_testing 1.0120400038431399 usercpu_time_millis_testing 1.128720999986399 usercpu_time_millis_testing 1.0094640019815415 usercpu_time_millis_testing 1.0400209939689375 usercpu_time_millis_training 444.3578950013034 usercpu_time_millis_training 420.2050749954651 usercpu_time_millis_training 390.8160550054163 usercpu_time_millis_training 422.34314400411677 usercpu_time_millis_training 391.96605200413615 usercpu_time_millis_training 391.5004480004427 usercpu_time_millis_training 393.0553280006279 usercpu_time_millis_training 391.5531530001317 usercpu_time_millis_training 392.2468699965975 usercpu_time_millis_training 393.1851329980418