10584002 28997 Marc Boel 9952 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8300284 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "most_frequent" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.3818827857993943 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1596 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 66 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 5 19040 random_state 36907 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.10989317415522461 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 22094272 description https://api.openml.org/data/download/22094272/description.xml -1 22094273 predictions https://api.openml.org/data/download/22094273/predictions.arff area_under_roc_curve 0.9280023212538734 [0.928002,0.928002] average_cost 0 f_measure 0.8668755376650558 [0.906844,0.77066] kappa 0.6775370411237647 kb_relative_information_score 0.5333178725297535 mean_absolute_error 0.19524434377164973 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8675055514433753 [0.912782,0.758512] number_of_instances 5404 [3818,1586] precision 0.8664158096330937 [0.900982,0.783203] predictive_accuracy 0.8675055514433753 prior_entropy 0.8731822780289229 relative_absolute_error 0.4707680643779108 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.3107641630047031 root_relative_squared_error 0.6824592292839391 total_cost 0 unweighted_recall 0.8356467704250854 [0.912782,0.758512] area_under_roc_curve 0.9285949487964701 [0.928595,0.928595] area_under_roc_curve 0.9361849254173663 [0.936185,0.936185] area_under_roc_curve 0.9297474398235044 [0.929747,0.929747] area_under_roc_curve 0.9201570680628272 [0.920157,0.920157] area_under_roc_curve 0.9126847372257936 [0.912685,0.912685] area_under_roc_curve 0.9391941149181523 [0.939194,0.939194] area_under_roc_curve 0.9398402809994035 [0.93984,0.93984] area_under_roc_curve 0.921192590628935 [0.921193,0.921193] area_under_roc_curve 0.9207316066623749 [0.920732,0.920732] area_under_roc_curve 0.9341025768005414 [0.934103,0.934103] 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 f_measure 0.860499813189107 [0.899471,0.766871] f_measure 0.8764898725272608 [0.911958,0.791277] f_measure 0.8690733606169949 [0.909794,0.771242] f_measure 0.8356398817394979 [0.883355,0.721003] f_measure 0.8693585247989394 [0.909326,0.772727] f_measure 0.9013819568045001 [0.931079,0.829582] f_measure 0.8842889791076319 [0.919689,0.798701] f_measure 0.8489819047259265 [0.894942,0.737864] f_measure 0.8547309027777777 [0.898438,0.75] f_measure 0.8682694253865026 [0.910026,0.768212] kappa 0.6664286873276002 kappa 0.7032461418805518 kappa 0.6812289562289563 kappa 0.6043599372221629 kappa 0.6821392532795155 kappa 0.7606863335340157 kappa 0.7184661957618567 kappa 0.6328812193648022 kappa 0.6484903109508786 kappa 0.6785878271516759 kb_relative_information_score 0.5325648444899275 kb_relative_information_score 0.5422541354366114 kb_relative_information_score 0.5547107842190749 kb_relative_information_score 0.49601745892224314 kb_relative_information_score 0.5055377320130066 kb_relative_information_score 0.5469756229465229 kb_relative_information_score 0.5626672244806724 kb_relative_information_score 0.5034036528104323 kb_relative_information_score 0.5164986832181284 kb_relative_information_score 0.5725173811157853 mean_absolute_error 0.19526608821206343 mean_absolute_error 0.19373014080362275 mean_absolute_error 0.18597163552908888 mean_absolute_error 0.20624713400349332 mean_absolute_error 0.20656876606282865 mean_absolute_error 0.19235791369124514 mean_absolute_error 0.18557451526801702 mean_absolute_error 0.20635150888431492 mean_absolute_error 0.2005256381734974 mean_absolute_error 0.17984965704487985 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.8618940911656774 [0.909091,0.748503] precision 0.8768851201388427 [0.915567,0.783951] precision 0.8685422994929601 [0.895939,0.802721] precision 0.8357962374042431 [0.884514,0.71875] precision 0.8687901234567901 [0.9,0.793333] precision 0.9010932653279515 [0.925065,0.843137] precision 0.8838480531813866 [0.910256,0.82] precision 0.8482898925756311 [0.886889,0.754967] precision 0.8541470334903988 [0.891473,0.764706] precision 0.8679852193706098 [0.891688,0.811189] predictive_accuracy 0.8595194085027726 predictive_accuracy 0.8761552680221811 predictive_accuracy 0.8706099815157117 predictive_accuracy 0.8354898336414048 predictive_accuracy 0.8703703703703703 predictive_accuracy 0.9018518518518519 predictive_accuracy 0.8851851851851852 predictive_accuracy 0.85 predictive_accuracy 0.8555555555555556 predictive_accuracy 0.8703703703703703 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 relative_absolute_error 0.47062658592618484 relative_absolute_error 0.4669246748999775 relative_absolute_error 0.4482252740840063 relative_absolute_error 0.4970928921754667 relative_absolute_error 0.49851674771687693 relative_absolute_error 0.4642213988042937 relative_absolute_error 0.44785088072032103 relative_absolute_error 0.4979924363985924 relative_absolute_error 0.48304144014166617 relative_absolute_error 0.4332355609948404 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.3091645374163497 root_mean_squared_error 0.3037926404693448 root_mean_squared_error 0.30927270486368424 root_mean_squared_error 0.324660142721633 root_mean_squared_error 0.3229871262838763 root_mean_squared_error 0.296176648104021 root_mean_squared_error 0.2934168890666645 root_mean_squared_error 0.3215466002101724 root_mean_squared_error 0.3230331942794663 root_mean_squared_error 0.30155408391223026 root_relative_squared_error 0.6786667540468864 root_relative_squared_error 0.6668745611435053 root_relative_squared_error 0.678904199295263 root_relative_squared_error 0.7126821435298205 root_relative_squared_error 0.7099336472042718 root_relative_squared_error 0.6510035567808338 root_relative_squared_error 0.6449375385424676 root_relative_squared_error 0.7067673354655847 root_relative_squared_error 0.7087271157442927 root_relative_squared_error 0.6616024604181444 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 unweighted_recall 0.8381079390167605 [0.890052,0.786164] unweighted_recall 0.8535595508577827 [0.908377,0.798742] unweighted_recall 0.833111067206691 [0.924084,0.742138] unweighted_recall 0.8027346965655767 [0.882199,0.72327] unweighted_recall 0.8360063622506462 [0.918848,0.753165] unweighted_recall 0.8768142355358208 [0.937173,0.816456] unweighted_recall 0.8539001921929883 [0.929319,0.778481] unweighted_recall 0.8123301742991583 [0.903141,0.721519] unweighted_recall 0.8206804338136977 [0.905512,0.735849] unweighted_recall 0.8293468033476947 [0.929134,0.72956] usercpu_time_millis 573.0645460000687 usercpu_time_millis 655.6976370000029 usercpu_time_millis 619.419884000024 usercpu_time_millis 597.3738369999637 usercpu_time_millis 540.5625870000108 usercpu_time_millis 552.1622790000151 usercpu_time_millis 489.4141530000411 usercpu_time_millis 398.4763340000086 usercpu_time_millis 540.4400369999962 usercpu_time_millis 726.6394590000118 usercpu_time_millis_testing 5.661354000039864 usercpu_time_millis_testing 6.217352000021492 usercpu_time_millis_testing 5.886535000001913 usercpu_time_millis_testing 6.053356999984771 usercpu_time_millis_testing 5.94645300003549 usercpu_time_millis_testing 6.596191000028284 usercpu_time_millis_testing 5.8114340000088305 usercpu_time_millis_testing 6.116447000010794 usercpu_time_millis_testing 6.149123000000145 usercpu_time_millis_testing 4.176824000012402 usercpu_time_millis_training 567.4031920000289 usercpu_time_millis_training 649.4802849999814 usercpu_time_millis_training 613.5333490000221 usercpu_time_millis_training 591.3204799999789 usercpu_time_millis_training 534.6161339999753 usercpu_time_millis_training 545.5660879999868 usercpu_time_millis_training 483.60271900003227 usercpu_time_millis_training 392.3598869999978 usercpu_time_millis_training 534.2909139999961 usercpu_time_millis_training 722.4626349999994 wall_clock_time_millis 584.4974517822266 wall_clock_time_millis 671.5908050537109 wall_clock_time_millis 638.9105319976807 wall_clock_time_millis 616.5070533752441 wall_clock_time_millis 544.4364547729492 wall_clock_time_millis 575.9222507476807 wall_clock_time_millis 498.01087379455566 wall_clock_time_millis 408.1137180328369 wall_clock_time_millis 547.9211807250977 wall_clock_time_millis 740.8955097198486 wall_clock_time_millis_testing 5.666255950927734 wall_clock_time_millis_testing 6.222963333129883 wall_clock_time_millis_testing 6.628274917602539 wall_clock_time_millis_testing 6.058692932128906 wall_clock_time_millis_testing 5.951881408691406 wall_clock_time_millis_testing 6.602287292480469 wall_clock_time_millis_testing 5.81669807434082 wall_clock_time_millis_testing 12.10927963256836 wall_clock_time_millis_testing 6.165981292724609 wall_clock_time_millis_testing 4.180669784545898 wall_clock_time_millis_training 578.8311958312988 wall_clock_time_millis_training 665.367841720581 wall_clock_time_millis_training 632.2822570800781 wall_clock_time_millis_training 610.4483604431152 wall_clock_time_millis_training 538.4845733642578 wall_clock_time_millis_training 569.3199634552002 wall_clock_time_millis_training 492.19417572021484 wall_clock_time_millis_training 396.00443840026855 wall_clock_time_millis_training 541.755199432373 wall_clock_time_millis_training 736.7148399353027 weighted_recall 0.8595194085027726 [0.890052,0.786164] weighted_recall 0.8761552680221811 [0.908377,0.798742] weighted_recall 0.8706099815157117 [0.924084,0.742138] weighted_recall 0.8354898336414048 [0.882199,0.72327] weighted_recall 0.8703703703703703 [0.918848,0.753165] weighted_recall 0.9018518518518519 [0.937173,0.816456] weighted_recall 0.8851851851851852 [0.929319,0.778481] weighted_recall 0.85 [0.903141,0.721519] weighted_recall 0.8555555555555555 [0.905512,0.735849] weighted_recall 0.8703703703703703 [0.929134,0.72956]