10418865 10580 Thomas Fan 14954 Supervised Classification 17373 sklearn.model_selection._search_successive_halving.HalvingRandomSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8255503 l2_regularization 0.0 17372 learning_rate 0.1 17372 loss "auto" 17372 max_bins 255 17372 max_depth null 17372 max_iter 100 17372 max_leaf_nodes 31 17372 min_samples_leaf 20 17372 n_iter_no_change null 17372 random_state 53843 17372 scoring null 17372 tol 1e-07 17372 validation_fraction 0.1 17372 verbose 0 17372 warm_start false 17372 aggressive_elimination false 17373 cv 5 17373 error_score NaN 17373 force_exhaust_resources true 17373 max_resources 100 17373 min_resources "auto" 17373 n_candidates 100 17373 n_jobs 3 17373 param_distributions {"l2_regularization": [0, 0.01, 0.1], "learning_rate": [0.01, 0.1, 1], "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]} 17373 pre_dispatch "2*n_jobs" 17373 random_state 0 17373 ratio 3 17373 refit {"oml-python:serialized_object": "function", "value": "sklearn.model_selection._search_successive_halving._refit_callable"} 17373 resource "max_iter" 17373 return_train_score true 17373 scoring null 17373 verbose 1 17373 openml-python Sklearn_0.23.dev0. 6332 cylinder-bands https://www.openml.org/data/download/1854224/phpAz9Len -1 21760161 description https://api.openml.org/data/download/21760161/description.xml -1 21760162 predictions https://api.openml.org/data/download/21760162/predictions.arff -1 21760163 trace https://api.openml.org/data/download/21760163/trace.arff area_under_roc_curve 0.8985042735042735 [0.898504,0.898504] average_cost 0 f_measure 0.8129198966408269 [0.767442,0.846154] kappa 0.6145280109645365 kb_relative_information_score 0.6157161521102481 mean_absolute_error 0.18646122510975086 mean_prior_absolute_error 0.48794587945879536 number_of_instances 540 [228,312] precision 0.814969958534315 [0.816832,0.813609] predictive_accuracy 0.8148148148148148 prior_entropy 0.9824743303740947 recall 0.8148148148148148 [0.723684,0.88141] relative_absolute_error 0.3821350542329902 root_mean_prior_squared_error 0.49391365607219145 root_mean_squared_error 0.3980055989574712 root_relative_squared_error 0.805820195624026 total_cost 0 area_under_roc_curve 0.9495091164095372 [0.949509,0.949509] area_under_roc_curve 0.8863955119214586 [0.886396,0.886396] area_under_roc_curve 0.9298737727910238 [0.929874,0.929874] area_under_roc_curve 0.8541374474053295 [0.854137,0.854137] area_under_roc_curve 0.8569424964936886 [0.856942,0.856942] area_under_roc_curve 0.8793828892005608 [0.879383,0.879383] area_under_roc_curve 0.9635343618513323 [0.963534,0.963534] area_under_roc_curve 0.906030855539972 [0.906031,0.906031] area_under_roc_curve 0.9488636363636362 [0.948864,0.948864] area_under_roc_curve 0.8196022727272727 [0.819602,0.819602] 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 0.9071134626690183 [0.888889,0.920635] f_measure 0.694553376906318 [0.6,0.764706] f_measure 0.8341980860140665 [0.816327,0.847458] f_measure 0.7282651072124757 [0.631579,0.8] f_measure 0.8268301746562616 [0.769231,0.869565] f_measure 0.7388994107744108 [0.681818,0.78125] f_measure 0.9253998316498316 [0.909091,0.9375] f_measure 0.7938912078446962 [0.744186,0.830769] f_measure 0.8888888888888888 [0.863636,0.90625] f_measure 0.7777777777777778 [0.727273,0.8125] kappa 0.8095909732016926 kappa 0.37300435413642963 kappa 0.6648275862068966 kappa 0.4449339207048458 kappa 0.6452554744525548 kappa 0.46382978723404245 kappa 0.8468085106382979 kappa 0.5763195435092725 kappa 0.7698863636363635 kappa 0.5397727272727273 kb_relative_information_score 0.8052702665535818 kb_relative_information_score 0.4493226554028664 kb_relative_information_score 0.6561880794456297 kb_relative_information_score 0.48534264838099905 kb_relative_information_score 0.6074859399095089 kb_relative_information_score 0.5025236622012205 kb_relative_information_score 0.8221754389586572 kb_relative_information_score 0.5794600352266105 kb_relative_information_score 0.7323970374662848 kb_relative_information_score 0.5171494186807845 mean_absolute_error 0.09530315511858689 mean_absolute_error 0.26215360414174965 mean_absolute_error 0.16688279733796849 mean_absolute_error 0.2497953535636702 mean_absolute_error 0.1946608234001386 mean_absolute_error 0.23913641176935865 mean_absolute_error 0.08855285546349345 mean_absolute_error 0.2031912569260763 mean_absolute_error 0.13221343416738693 mean_absolute_error 0.2327225592090754 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.48851988519885264 mean_prior_absolute_error 0.4856498564985656 mean_prior_absolute_error 0.4856498564985656 number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [23,31] number_of_instances 54 [22,32] number_of_instances 54 [22,32] precision 0.9074600168350168 [0.909091,0.90625] precision 0.7040569981746453 [0.705882,0.702703] precision 0.8402014652014652 [0.769231,0.892857] precision 0.7528964862298195 [0.8,0.717949] precision 0.8525219298245614 [0.9375,0.789474] precision 0.7391374058040725 [0.714286,0.757576] precision 0.9275292608625941 [0.952381,0.909091] precision 0.7966230936819172 [0.8,0.794118] precision 0.8888888888888888 [0.863636,0.90625] precision 0.7777777777777778 [0.727273,0.8125] predictive_accuracy 0.9074074074074074 predictive_accuracy 0.7037037037037037 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.7407407407407408 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.7407407407407408 predictive_accuracy 0.9259259259259259 predictive_accuracy 0.7962962962962963 predictive_accuracy 0.8888888888888888 predictive_accuracy 0.7777777777777777 prior_entropy 0.9841440157771891 prior_entropy 0.9841440157771891 prior_entropy 0.9841440157771891 prior_entropy 0.9841440157771891 prior_entropy 0.9841440157771891 prior_entropy 0.9841440157771891 prior_entropy 0.9841440157771891 prior_entropy 0.9841440157771891 prior_entropy 0.9757955887617137 prior_entropy 0.9757955887617137 recall 0.9074074074074074 [0.869565,0.935484] recall 0.7037037037037037 [0.521739,0.83871] recall 0.8333333333333334 [0.869565,0.806452] recall 0.7407407407407407 [0.521739,0.903226] recall 0.8333333333333334 [0.652174,0.967742] recall 0.7407407407407407 [0.652174,0.806452] recall 0.9259259259259259 [0.869565,0.967742] recall 0.7962962962962963 [0.695652,0.870968] recall 0.8888888888888888 [0.863636,0.90625] recall 0.7777777777777778 [0.727273,0.8125] relative_absolute_error 0.19508551853481587 relative_absolute_error 0.5366283176682556 relative_absolute_error 0.3416090161202724 relative_absolute_error 0.5113309839209322 relative_absolute_error 0.3984706238127884 relative_absolute_error 0.4895121345408854 relative_absolute_error 0.18126765797352934 relative_absolute_error 0.41593241766067934 relative_absolute_error 0.27224024139658615 relative_absolute_error 0.4791982455980871 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.49449439369385695 root_mean_prior_squared_error 0.4915838450298872 root_mean_prior_squared_error 0.4915838450298872 root_mean_squared_error 0.2831994770037817 root_mean_squared_error 0.4764127451209437 root_mean_squared_error 0.36563538690261976 root_mean_squared_error 0.46566091504709217 root_mean_squared_error 0.3969524741568261 root_mean_squared_error 0.46215483303931804 root_mean_squared_error 0.2562423552603627 root_mean_squared_error 0.43215663196088216 root_mean_squared_error 0.32730556309945086 root_mean_squared_error 0.4423543933480443 root_relative_squared_error 0.5727051319799419 root_relative_squared_error 0.9634340675981301 root_relative_squared_error 0.739412603187137 root_relative_squared_error 0.9416909897979235 root_relative_squared_error 0.8027441346535885 root_relative_squared_error 0.9346007536850652 root_relative_squared_error 0.5181906175846417 root_relative_squared_error 0.8739363630246366 root_relative_squared_error 0.6658183876639627 root_relative_squared_error 0.899855432232827 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 wall_clock_time_millis 2939.4659996032715 wall_clock_time_millis 2614.591598510742 wall_clock_time_millis 2746.626615524292 wall_clock_time_millis 2597.24760055542 wall_clock_time_millis 2992.6059246063232 wall_clock_time_millis 2645.4522609710693 wall_clock_time_millis 3070.0905323028564 wall_clock_time_millis 2903.346300125122 wall_clock_time_millis 3135.206460952759 wall_clock_time_millis 3002.5649070739746 wall_clock_time_millis_testing 0.9160041809082031 wall_clock_time_millis_testing 1.050710678100586 wall_clock_time_millis_testing 0.9195804595947266 wall_clock_time_millis_testing 0.9038448333740234 wall_clock_time_millis_testing 0.9160041809082031 wall_clock_time_millis_testing 0.8962154388427734 wall_clock_time_millis_testing 0.9019374847412109 wall_clock_time_millis_testing 1.0790824890136719 wall_clock_time_millis_testing 0.9365081787109375 wall_clock_time_millis_testing 1.0564327239990234 wall_clock_time_millis_training 2938.5499954223633 wall_clock_time_millis_training 2613.5408878326416 wall_clock_time_millis_training 2745.7070350646973 wall_clock_time_millis_training 2596.343755722046 wall_clock_time_millis_training 2991.689920425415 wall_clock_time_millis_training 2644.5560455322266 wall_clock_time_millis_training 3069.1885948181152 wall_clock_time_millis_training 2902.2672176361084 wall_clock_time_millis_training 3134.269952774048 wall_clock_time_millis_training 3001.5084743499756