10223636 1 Jan van Rijn 14967 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) 8149068 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": [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]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 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 1.559311085119044e-05 9667 loss "deviance" 9667 max_depth 29 9667 max_features 0.09132307241276227 9667 max_leaf_nodes null 9667 min_impurity_decrease 0.027347589382782034 9667 min_impurity_split null 9667 min_samples_leaf 8 9667 min_samples_split 2 9667 min_weight_fraction_leaf 0.35191474361784714 9667 n_estimators 258 9667 n_iter_no_change 165 9667 presort "auto" 9667 random_state 57814 9667 subsample 0.6959641367181845 9667 tol 0.001173264584980728 9667 validation_fraction 0.783223551775579 9667 verbose 0 9667 warm_start false 9667 openml-python Sklearn_0.20.3. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 21368188 description https://api.openml.org/data/download/21368188/description.xml -1 21368189 predictions https://api.openml.org/data/download/21368189/predictions.arff area_under_roc_curve 0.5916252234217788 [0.556221,0.541091,0.617034,0.49966,0.71512,0.650804] average_cost 0 kappa 0 kb_relative_information_score 100.38421373017003 mean_absolute_error 0.2770718383524258 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] predictive_accuracy 0.24320457796852646 prior_entropy 2.5206634795042744 recall 0.24320457796852646 [0,0,1,0,0,0] relative_absolute_error 1.0153615771120488 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.37179965315474883 root_relative_squared_error 1.0065758197717174 total_cost 0 area_under_roc_curve 0.6164274491680739 [0.626281,0.553623,0.647995,0.475854,0.633636,0.82646] area_under_roc_curve 0.6060069564432399 [0.594517,0.638929,0.56576,0.43133,0.728391,0.826531] area_under_roc_curve 0.6374017033760335 [0.719517,0.539216,0.60145,0.491352,0.746352,0.780329] area_under_roc_curve 0.6384300681090315 [0.605817,0.580882,0.648099,0.53014,0.754822,0.779195] area_under_roc_curve 0.6082488947260603 [0.587916,0.662363,0.544395,0.543143,0.689509,0.746596] area_under_roc_curve 0.6280258078409885 [0.590789,0.624373,0.609011,0.529797,0.728033,0.79432] area_under_roc_curve 0.6290335535356337 [0.575075,0.509904,0.719926,0.453001,0.826552,0.6893] area_under_roc_curve 0.6262775553150656 [0.686305,0.52479,0.622979,0.492819,0.656771,0.840315] area_under_roc_curve 0.615736862461754 [0.608029,0.57437,0.617089,0.471491,0.741662,0.757275] area_under_roc_curve 0.6457022187681642 [0.601114,0.603661,0.652216,0.573658,0.707806,0.815844] 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 10.18404392059368 kb_relative_information_score 10.187432048426366 kb_relative_information_score 10.185379224152774 kb_relative_information_score 10.183490101854197 kb_relative_information_score 9.895485120998377 kb_relative_information_score 10.039103016684207 kb_relative_information_score 9.926576319983027 kb_relative_information_score 9.927249588369632 kb_relative_information_score 9.926348725017245 kb_relative_information_score 9.929105664091205 mean_absolute_error 0.27708360910148044 mean_absolute_error 0.27708446600848935 mean_absolute_error 0.2770829335632409 mean_absolute_error 0.2770833538880717 mean_absolute_error 0.2770759706040907 mean_absolute_error 0.27707601518578456 mean_absolute_error 0.27705809658405295 mean_absolute_error 0.2770571236380277 mean_absolute_error 0.2770590936128642 mean_absolute_error 0.2770575230649036 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24285714285714285 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 predictive_accuracy 0.24372759856630824 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24285714285714285 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] recall 0.24372759856630824 [0,0,1,0,0,0] relative_absolute_error 1.0153116525124495 relative_absolute_error 1.0153147924588146 relative_absolute_error 1.0153091771518585 relative_absolute_error 1.015310717339313 relative_absolute_error 1.0156584090358076 relative_absolute_error 1.0153897391453968 relative_absolute_error 1.01533073695801 relative_absolute_error 1.0153271714170025 relative_absolute_error 1.0153343907548495 relative_absolute_error 1.0153286351908075 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.37181370325866125 root_mean_squared_error 0.37181477331400853 root_mean_squared_error 0.37181279228498687 root_mean_squared_error 0.37181341519861766 root_mean_squared_error 0.37180354897612405 root_mean_squared_error 0.3718043431523692 root_mean_squared_error 0.37178361232627954 root_mean_squared_error 0.37178237095805705 root_mean_squared_error 0.3717849100251092 root_mean_squared_error 0.37178282777237875 root_relative_squared_error 1.0065216042020584 root_relative_squared_error 1.0065245009049375 root_relative_squared_error 1.006519138142642 root_relative_squared_error 1.0065208244065462 root_relative_squared_error 1.0068656666084173 root_relative_squared_error 1.0066012618852667 root_relative_squared_error 1.0065517426257706 root_relative_squared_error 1.0065483817962286 root_relative_squared_error 1.0065552559624944 root_relative_squared_error 1.0065496185566352 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 1314.7294459995464 usercpu_time_millis 1259.0470049981377 usercpu_time_millis 1236.7720090005605 usercpu_time_millis 1254.1259229983552 usercpu_time_millis 1245.7880649999424 usercpu_time_millis 1245.8146390017646 usercpu_time_millis 1288.6800000014773 usercpu_time_millis 1243.3982590009691 usercpu_time_millis 1238.9397239967366 usercpu_time_millis 1242.8914439988148 usercpu_time_millis_testing 4.211711999232648 usercpu_time_millis_testing 4.131557998334756 usercpu_time_millis_testing 4.115724001167109 usercpu_time_millis_testing 4.819412999495398 usercpu_time_millis_testing 4.150381999352248 usercpu_time_millis_testing 4.046935002406826 usercpu_time_millis_testing 4.290996999770869 usercpu_time_millis_testing 4.056163001223467 usercpu_time_millis_testing 4.0125769992300775 usercpu_time_millis_testing 4.097674998774892 usercpu_time_millis_training 1310.5177340003138 usercpu_time_millis_training 1254.915446999803 usercpu_time_millis_training 1232.6562849993934 usercpu_time_millis_training 1249.3065099988598 usercpu_time_millis_training 1241.6376830005902 usercpu_time_millis_training 1241.7677039993578 usercpu_time_millis_training 1284.3890030017064 usercpu_time_millis_training 1239.3420959997457 usercpu_time_millis_training 1234.9271469975065 usercpu_time_millis_training 1238.79376900004