10218793 1 Jan van Rijn 9914 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) 8144225 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]}}, {"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 "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 "friedman_mse" 9667 init null 9667 learning_rate 4.4409687923750396e-05 9667 loss "deviance" 9667 max_depth 24 9667 max_features 0.20345672290855255 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.5919569825262314 9667 min_impurity_split null 9667 min_samples_leaf 16 9667 min_samples_split 13 9667 min_weight_fraction_leaf 0.10584815426594413 9667 n_estimators 1227 9667 n_iter_no_change 1643 9667 presort "auto" 9667 random_state 21786 9667 subsample 0.12990712994682285 9667 tol 8.403329550431604e-05 9667 validation_fraction 0.45481656918484537 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 1570 wilt https://www.openml.org/data/download/1675983/phpnThNfi -1 21358502 description https://api.openml.org/data/download/21358502/description.xml -1 21358503 predictions https://api.openml.org/data/download/21358503/predictions.arff area_under_roc_curve 0.8968961165259803 [0.896896,0.896896] average_cost 0 kappa 0 kb_relative_information_score 95.72716417426635 mean_absolute_error 0.09827197373573736 mean_prior_absolute_error 0.10221958465180693 number_of_instances 4839 [4578,261] predictive_accuracy 0.9460632362058277 prior_entropy 0.3036514154115717 recall 0.9460632362058277 [1,0] relative_absolute_error 0.9613810706674615 root_mean_prior_squared_error 0.22589294647411987 root_mean_squared_error 0.22573878447798387 root_relative_squared_error 0.9993175440024035 total_cost 0 area_under_roc_curve 0.9393684917702385 [0.939368,0.939368] area_under_roc_curve 0.9382348001343634 [0.938235,0.938235] area_under_roc_curve 0.9582633523681557 [0.958263,0.958263] area_under_roc_curve 0.8470775948941887 [0.847078,0.847078] area_under_roc_curve 0.9171985220020155 [0.917199,0.917199] area_under_roc_curve 0.9583053409472624 [0.958305,0.958305] area_under_roc_curve 0.9359254282835069 [0.935925,0.935925] area_under_roc_curve 0.920809539805173 [0.92081,0.92081] area_under_roc_curve 0.9535213550530837 [0.953521,0.953521] area_under_roc_curve 0.9551422319474836 [0.955142,0.955142] 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 9.739262303591435 kb_relative_information_score 9.739607511154839 kb_relative_information_score 9.75563158515319 kb_relative_information_score 9.732763308480603 kb_relative_information_score 9.708687717882636 kb_relative_information_score 9.779203826228105 kb_relative_information_score 9.755533623447745 kb_relative_information_score 9.804033014982707 kb_relative_information_score 9.717269326122313 kb_relative_information_score 7.995171957222518 mean_absolute_error 0.09800980780194295 mean_absolute_error 0.09800966136902035 mean_absolute_error 0.09800304237117358 mean_absolute_error 0.09801248715619001 mean_absolute_error 0.09802244683969287 mean_absolute_error 0.09799332438367216 mean_absolute_error 0.09800308370146311 mean_absolute_error 0.09798304078481032 mean_absolute_error 0.09986133309468401 mean_absolute_error 0.09882264761066462 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.10202539943765428 mean_prior_absolute_error 0.1038678744402577 mean_prior_absolute_error 0.10212458028665569 number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [458,26] number_of_instances 484 [457,27] number_of_instances 483 [457,26] predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9462809917355373 predictive_accuracy 0.9442148760330579 predictive_accuracy 0.9461697722567288 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 prior_entropy 0.3036514154115717 recall 0.9462809917355371 [1,0] recall 0.9462809917355371 [1,0] recall 0.9462809917355371 [1,0] recall 0.9462809917355371 [1,0] recall 0.9462809917355371 [1,0] recall 0.9462809917355371 [1,0] recall 0.9462809917355371 [1,0] recall 0.9462809917355371 [1,0] recall 0.9442148760330579 [1,0] recall 0.9461697722567288 [1,0] relative_absolute_error 0.9606412554339943 relative_absolute_error 0.960639820174506 relative_absolute_error 0.9605749441937869 relative_absolute_error 0.960667517073369 relative_absolute_error 0.9607651367206111 relative_absolute_error 0.9604796935252772 relative_absolute_error 0.9605753492918288 relative_absolute_error 0.9603788990278429 relative_absolute_error 0.9614265588165264 relative_absolute_error 0.9676676010151248 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.22546271987314428 root_mean_prior_squared_error 0.2295123374792723 root_mean_prior_squared_error 0.22568256224528593 root_mean_squared_error 0.2253137179983115 root_mean_squared_error 0.2253101592001559 root_mean_squared_error 0.2253054820786293 root_mean_squared_error 0.22533545647835004 root_mean_squared_error 0.22531791483344726 root_mean_squared_error 0.22526627921277498 root_mean_squared_error 0.225322683128994 root_mean_squared_error 0.225302697592331 root_mean_squared_error 0.2294022709402593 root_mean_squared_error 0.2254774905397984 root_relative_squared_error 0.9993391285489832 root_relative_squared_error 0.9993233441294676 root_relative_squared_error 0.999302599584519 root_relative_squared_error 0.9994355457307273 root_relative_squared_error 0.9993577428686281 root_relative_squared_error 0.9991287222096858 root_relative_squared_error 0.9993788917998103 root_relative_squared_error 0.9992902494882376 root_relative_squared_error 0.9995204330180162 root_relative_squared_error 0.9990913267580476 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 1313.3579909990658 usercpu_time_millis 1237.5910140035558 usercpu_time_millis 1237.836423002591 usercpu_time_millis 1240.4553029991803 usercpu_time_millis 1236.4640529995086 usercpu_time_millis 1241.2816280011612 usercpu_time_millis 1251.3804600021103 usercpu_time_millis 1245.9409699986281 usercpu_time_millis 1237.332315002277 usercpu_time_millis 1250.6447880004998 usercpu_time_millis_testing 3.1663650006521493 usercpu_time_millis_testing 3.2541360014874954 usercpu_time_millis_testing 3.3310690014332067 usercpu_time_millis_testing 3.063465999730397 usercpu_time_millis_testing 3.112157999566989 usercpu_time_millis_testing 3.17892800012487 usercpu_time_millis_testing 4.014076999737881 usercpu_time_millis_testing 3.1394789984915406 usercpu_time_millis_testing 3.3227250023628585 usercpu_time_millis_testing 3.3486200009065215 usercpu_time_millis_training 1310.1916259984137 usercpu_time_millis_training 1234.3368780020683 usercpu_time_millis_training 1234.5053540011577 usercpu_time_millis_training 1237.3918369994499 usercpu_time_millis_training 1233.3518949999416 usercpu_time_millis_training 1238.1027000010363 usercpu_time_millis_training 1247.3663830023725 usercpu_time_millis_training 1242.8014910001366 usercpu_time_millis_training 1234.0095899999142 usercpu_time_millis_training 1247.2961679995933