10584034 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) 8300316 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 "median" 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 0.21697057500133998 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 143 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 160 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 2 19040 random_state 60098 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.2650875880464271 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 22094336 description https://api.openml.org/data/download/22094336/description.xml -1 22094337 predictions https://api.openml.org/data/download/22094337/predictions.arff area_under_roc_curve 0.9211867757228815 [0.921187,0.921187] average_cost 0 f_measure 0.8498192866560902 [0.897446,0.735167] kappa 0.6329882795500043 kb_relative_information_score 0.489146924369366 mean_absolute_error 0.21464329084252434 mean_prior_absolute_error 0.4147357447231523 weighted_recall 0.8521465581051073 [0.915663,0.699243] number_of_instances 5404 [3818,1586] precision 0.8491361316256542 [0.87994,0.774983] predictive_accuracy 0.8521465581051073 prior_entropy 0.8731822780289229 relative_absolute_error 0.5175422990989232 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.31952226820293783 root_relative_squared_error 0.7016926237197205 total_cost 0 unweighted_recall 0.807453015086829 [0.915663,0.699243] area_under_roc_curve 0.9177533010635845 [0.917753,0.917753] area_under_roc_curve 0.9329908788567289 [0.932991,0.932991] area_under_roc_curve 0.9133902993183839 [0.91339,0.91339] area_under_roc_curve 0.9143040600612466 [0.914304,0.914304] area_under_roc_curve 0.9060076877195308 [0.906008,0.906008] area_under_roc_curve 0.9241997481609119 [0.9242,0.9242] area_under_roc_curve 0.9420521572006098 [0.942052,0.942052] area_under_roc_curve 0.9241251905361523 [0.924125,0.924125] area_under_roc_curve 0.9143762690041102 [0.914376,0.914376] area_under_roc_curve 0.9259231746975024 [0.925923,0.925923] 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 0.8380956928298925 [0.890026,0.713333] f_measure 0.8687947836342896 [0.910026,0.769737] f_measure 0.8456261257215254 [0.895141,0.726667] f_measure 0.8194985163641428 [0.874189,0.688103] f_measure 0.8500994465589787 [0.899619,0.730375] f_measure 0.8578687518647998 [0.901809,0.751634] f_measure 0.8768237519532855 [0.914508,0.785714] f_measure 0.8381272554605887 [0.889744,0.713333] f_measure 0.8511687139952357 [0.898588,0.737542] f_measure 0.8518651226393865 [0.900763,0.734694] kappa 0.6039059440499907 kappa 0.6800277134697603 kappa 0.6223289233965027 kappa 0.5623816870283116 kappa 0.6308411214953271 kappa 0.6535890336957256 kappa 0.7003027245206861 kappa 0.6035106891605766 kappa 0.6365773870374157 kappa 0.6363636363636362 kb_relative_information_score 0.4856230203192686 kb_relative_information_score 0.49893514366701297 kb_relative_information_score 0.48661668443036776 kb_relative_information_score 0.4649139069788192 kb_relative_information_score 0.4491843826839972 kb_relative_information_score 0.4895151151968147 kb_relative_information_score 0.5340685899904863 kb_relative_information_score 0.48710904725552995 kb_relative_information_score 0.49515732260954837 kb_relative_information_score 0.5003766227848221 mean_absolute_error 0.21658098042228235 mean_absolute_error 0.2127152224091552 mean_absolute_error 0.2131202600882671 mean_absolute_error 0.22114563103710114 mean_absolute_error 0.2320924802165619 mean_absolute_error 0.2154277123266177 mean_absolute_error 0.20019057703854576 mean_absolute_error 0.21321528923786826 mean_absolute_error 0.21011767010709964 mean_absolute_error 0.21181784678139096 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 0.8373374759114327 [0.87,0.758865] precision 0.8683574865230802 [0.893939,0.806897] precision 0.8450367719353443 [0.875,0.77305] precision 0.8186014126187843 [0.866324,0.703947] precision 0.8502331961591222 [0.874074,0.792593] precision 0.8571614982329268 [0.890306,0.777027] precision 0.8763190883190882 [0.905128,0.806667] precision 0.8372344246008341 [0.871859,0.753521] precision 0.8506277475011993 [0.879397,0.78169] precision 0.8522633744855967 [0.874074,0.8] predictive_accuracy 0.8410351201478743 predictive_accuracy 0.8706099815157117 predictive_accuracy 0.8484288354898336 predictive_accuracy 0.8207024029574862 predictive_accuracy 0.8537037037037036 predictive_accuracy 0.8592592592592593 predictive_accuracy 0.8777777777777778 predictive_accuracy 0.8407407407407408 predictive_accuracy 0.8537037037037036 predictive_accuracy 0.8555555555555556 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 0.5219993308924572 relative_absolute_error 0.5126821549691141 relative_absolute_error 0.5136583690257243 relative_absolute_error 0.5330009643786824 relative_absolute_error 0.5601136639016997 relative_absolute_error 0.5198962290576303 relative_absolute_error 0.48312412999778814 relative_absolute_error 0.5145569418856207 relative_absolute_error 0.5061474577127623 relative_absolute_error 0.5102429728634702 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 0.32053430450403503 root_mean_squared_error 0.310276810959659 root_mean_squared_error 0.32683330717729103 root_mean_squared_error 0.3298339500916347 root_mean_squared_error 0.3289215600497558 root_mean_squared_error 0.31514097841544003 root_mean_squared_error 0.29692723381172537 root_mean_squared_error 0.3199151401508642 root_mean_squared_error 0.3279272513579788 root_mean_squared_error 0.3174237797451967 root_relative_squared_error 0.7036252534535536 root_relative_squared_error 0.6811083764967256 root_relative_squared_error 0.7174525951458329 root_relative_squared_error 0.72403949739455 root_relative_squared_error 0.722977678574736 root_relative_squared_error 0.6926876212191765 root_relative_squared_error 0.6526533626264748 root_relative_squared_error 0.7031813461306574 root_relative_squared_error 0.7194645601276132 root_relative_squared_error 0.6964201941823939 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 0.7919753696203364 [0.910995,0.672956] unweighted_recall 0.8312753136422009 [0.926702,0.735849] unweighted_recall 0.8008824788435576 [0.91623,0.685535] unweighted_recall 0.7775774638611742 [0.882199,0.672956] unweighted_recall 0.8019583802770229 [0.926702,0.677215] unweighted_recall 0.8207303333554246 [0.913613,0.727848] unweighted_recall 0.8449532772218171 [0.924084,0.765823] unweighted_recall 0.7927960766121015 [0.908377,0.677215] unweighted_recall 0.8083741890754221 [0.918635,0.698113] unweighted_recall 0.8041895706432922 [0.929134,0.679245] usercpu_time_millis 422.3709570000551 usercpu_time_millis 499.2546020000077 usercpu_time_millis 568.8201799999888 usercpu_time_millis 467.0137089999571 usercpu_time_millis 311.0915600000226 usercpu_time_millis 412.2831880000035 usercpu_time_millis 400.059079000016 usercpu_time_millis 363.9631339999596 usercpu_time_millis 573.642097000004 usercpu_time_millis 413.97757300001103 usercpu_time_millis_testing 5.800383000007514 usercpu_time_millis_testing 6.533423000007588 usercpu_time_millis_testing 6.499386000029972 usercpu_time_millis_testing 6.265097999971658 usercpu_time_millis_testing 5.405035000023872 usercpu_time_millis_testing 6.092729999977564 usercpu_time_millis_testing 5.708446000028289 usercpu_time_millis_testing 5.538688000001457 usercpu_time_millis_testing 4.242099000009603 usercpu_time_millis_testing 5.923089000020809 usercpu_time_millis_training 416.5705740000476 usercpu_time_millis_training 492.7211790000001 usercpu_time_millis_training 562.3207939999588 usercpu_time_millis_training 460.74861099998543 usercpu_time_millis_training 305.6865249999987 usercpu_time_millis_training 406.19045800002596 usercpu_time_millis_training 394.35063299998774 usercpu_time_millis_training 358.42444599995815 usercpu_time_millis_training 569.3999979999944 usercpu_time_millis_training 408.0544839999902 wall_clock_time_millis 430.56464195251465 wall_clock_time_millis 521.87180519104 wall_clock_time_millis 589.3104076385498 wall_clock_time_millis 478.9848327636719 wall_clock_time_millis 313.60363960266113 wall_clock_time_millis 418.6265468597412 wall_clock_time_millis 410.42184829711914 wall_clock_time_millis 368.1769371032715 wall_clock_time_millis 582.4651718139648 wall_clock_time_millis 426.3641834259033 wall_clock_time_millis_testing 6.088018417358398 wall_clock_time_millis_testing 6.627082824707031 wall_clock_time_millis_testing 6.504535675048828 wall_clock_time_millis_testing 6.270885467529297 wall_clock_time_millis_testing 5.410671234130859 wall_clock_time_millis_testing 6.090879440307617 wall_clock_time_millis_testing 5.737543106079102 wall_clock_time_millis_testing 5.544185638427734 wall_clock_time_millis_testing 4.391908645629883 wall_clock_time_millis_testing 5.9299468994140625 wall_clock_time_millis_training 424.47662353515625 wall_clock_time_millis_training 515.244722366333 wall_clock_time_millis_training 582.805871963501 wall_clock_time_millis_training 472.7139472961426 wall_clock_time_millis_training 308.1929683685303 wall_clock_time_millis_training 412.5356674194336 wall_clock_time_millis_training 404.68430519104004 wall_clock_time_millis_training 362.63275146484375 wall_clock_time_millis_training 578.073263168335 wall_clock_time_millis_training 420.43423652648926 weighted_recall 0.8410351201478743 [0.910995,0.672956] weighted_recall 0.8706099815157117 [0.926702,0.735849] weighted_recall 0.8484288354898336 [0.91623,0.685535] weighted_recall 0.8207024029574861 [0.882199,0.672956] weighted_recall 0.8537037037037037 [0.926702,0.677215] weighted_recall 0.8592592592592593 [0.913613,0.727848] weighted_recall 0.8777777777777778 [0.924084,0.765823] weighted_recall 0.8407407407407408 [0.908377,0.677215] weighted_recall 0.8537037037037037 [0.918635,0.698113] weighted_recall 0.8555555555555555 [0.929134,0.679245]