10418895 10580 Thomas Fan 9910 Supervised Classification 17373 sklearn.model_selection._search_successive_halving.HalvingRandomSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4) 8255505 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 145 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 false 17373 max_resources "auto" 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 "n_samples" 17373 return_train_score true 17373 scoring null 17373 verbose 1 17373 openml-python Sklearn_0.23.dev0. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 21760252 description https://api.openml.org/data/download/21760252/description.xml -1 21760253 predictions https://api.openml.org/data/download/21760253/predictions.arff -1 21760254 trace https://api.openml.org/data/download/21760254/trace.arff area_under_roc_curve 0.8396752337184284 [0.839675,0.839675] average_cost 0 f_measure 0.7854337126954272 [0.758434,0.808226] kappa 0.5670647026502248 kb_relative_information_score 0.37100782874961497 mean_absolute_error 0.3291951100253537 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7861485291423957 [0.785402,0.786778] predictive_accuracy 0.7861903492402026 prior_entropy 0.9948419333531207 recall 0.7861903492402026 [0.733256,0.830875] relative_absolute_error 0.6631237757889218 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.4050490229113904 root_relative_squared_error 0.8130065241613894 total_cost 0 area_under_roc_curve 0.8543376652986776 [0.854338,0.854338] area_under_roc_curve 0.8398155573376103 [0.839816,0.839816] area_under_roc_curve 0.8425220529270249 [0.842522,0.842522] area_under_roc_curve 0.8950051552296943 [0.895005,0.895005] area_under_roc_curve 0.8832340474281132 [0.883234,0.883234] area_under_roc_curve 0.8732672700194752 [0.873267,0.873267] area_under_roc_curve 0.8457154313208846 [0.845715,0.845715] area_under_roc_curve 0.8809912854030503 [0.880991,0.880991] area_under_roc_curve 0.8514022474486871 [0.851379,0.851422] area_under_roc_curve 0.8096548560944846 [0.809655,0.809655] 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 0.7812588200368072 [0.754491,0.803828] f_measure 0.7825143891402715 [0.750769,0.809412] f_measure 0.7786993330611134 [0.740506,0.81106] f_measure 0.8076939162405927 [0.786982,0.825243] f_measure 0.8072861013431717 [0.783133,0.827751] f_measure 0.781502144450163 [0.764368,0.79602] f_measure 0.776914243177858 [0.743034,0.805621] f_measure 0.8142762839208953 [0.783699,0.839907] f_measure 0.7787174017378099 [0.758017,0.796069] f_measure 0.744 [0.719298,0.764706] kappa 0.5586349060925332 kappa 0.5613274988085438 kappa 0.5541151905341918 kappa 0.6123251873761595 kappa 0.6112870716959402 kappa 0.5604379895934587 kappa 0.5500932336913313 kappa 0.625048906664348 kappa 0.5540894829586968 kappa 0.4840041279669763 kb_relative_information_score 0.2880026385712834 kb_relative_information_score 0.27376515403009927 kb_relative_information_score 0.2794204113204667 kb_relative_information_score 0.31170033293449945 kb_relative_information_score 0.5043508574617753 kb_relative_information_score 0.48017454657880615 kb_relative_information_score 0.2811383005808377 kb_relative_information_score 0.50454170655073 kb_relative_information_score 0.5453483943203744 kb_relative_information_score 0.24194943662903268 mean_absolute_error 0.3764041856933568 mean_absolute_error 0.3827762333389187 mean_absolute_error 0.380282756615122 mean_absolute_error 0.3668953532583883 mean_absolute_error 0.256552735275522 mean_absolute_error 0.2699845082591509 mean_absolute_error 0.3793633128843626 mean_absolute_error 0.2587977764121486 mean_absolute_error 0.22531288893398368 mean_absolute_error 0.3954554587141354 mean_prior_absolute_error 0.4964057123095849 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.7817215704469631 [0.777778,0.785047] precision 0.7851456162044397 [0.797386,0.774775] precision 0.785111111111111 [0.8125,0.761905] precision 0.8078049230414481 [0.801205,0.813397] precision 0.8082511627906976 [0.8125,0.804651] precision 0.7818489416780875 [0.755682,0.80402] precision 0.7801699779249448 [0.794702,0.767857] precision 0.81889724967258 [0.844595,0.797357] precision 0.7787792416084317 [0.755814,0.79803] precision 0.744 [0.719298,0.764706] predictive_accuracy 0.7819148936170213 predictive_accuracy 0.784 predictive_accuracy 0.7813333333333334 predictive_accuracy 0.8079999999999999 predictive_accuracy 0.8079999999999999 predictive_accuracy 0.7813333333333334 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.816 predictive_accuracy 0.7786666666666666 predictive_accuracy 0.7440000000000001 prior_entropy 0.9947691829105159 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 recall 0.7819148936170213 [0.732558,0.823529] recall 0.784 [0.709302,0.847291] recall 0.7813333333333333 [0.680233,0.866995] recall 0.808 [0.773256,0.837438] recall 0.808 [0.755814,0.852217] recall 0.7813333333333333 [0.773256,0.788177] recall 0.7786666666666666 [0.697674,0.847291] recall 0.816 [0.730994,0.887255] recall 0.7786666666666666 [0.760234,0.794118] recall 0.744 [0.719298,0.764706] relative_absolute_error 0.7582591746216876 relative_absolute_error 0.7709355262150004 relative_absolute_error 0.7659135065002525 relative_absolute_error 0.7389504300274828 relative_absolute_error 0.5167134235223232 relative_absolute_error 0.5437658632279142 relative_absolute_error 0.7640616887157075 relative_absolute_error 0.521471644751284 relative_absolute_error 0.4540003565909788 relative_absolute_error 0.7968337724552925 root_mean_prior_squared_error 0.4981860380352768 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_squared_error 0.407224334041478 root_mean_squared_error 0.41344289332917283 root_mean_squared_error 0.41184020735219845 root_mean_squared_error 0.3933314080581066 root_mean_squared_error 0.37315772095216776 root_mean_squared_error 0.3806811283673677 root_mean_squared_error 0.4114581153160706 root_mean_squared_error 0.36968006905538164 root_mean_squared_error 0.45392564394785057 root_mean_squared_error 0.4282281284170173 root_relative_squared_error 0.8174141845634025 root_relative_squared_error 0.8297243754368708 root_relative_squared_error 0.8265079998679049 root_relative_squared_error 0.7893633247938803 root_relative_squared_error 0.7488774434199148 root_relative_squared_error 0.7639759119616485 root_relative_squared_error 0.8257411924535056 root_relative_squared_error 0.7422350040195831 root_relative_squared_error 0.9113813006504035 root_relative_squared_error 0.8597864294633828 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 227697.57866859436 wall_clock_time_millis 136936.51843070984 wall_clock_time_millis 123361.31715774536 wall_clock_time_millis 135473.2949733734 wall_clock_time_millis 198874.86600875854 wall_clock_time_millis 254067.76690483093 wall_clock_time_millis 263622.17926979065 wall_clock_time_millis 292079.1525840759 wall_clock_time_millis 232489.2237186432 wall_clock_time_millis 136573.07958602905 wall_clock_time_millis_testing 2.3093223571777344 wall_clock_time_millis_testing 2.459287643432617 wall_clock_time_millis_testing 2.362966537475586 wall_clock_time_millis_testing 2.339601516723633 wall_clock_time_millis_testing 2.516508102416992 wall_clock_time_millis_testing 2.4566650390625 wall_clock_time_millis_testing 2.3925304412841797 wall_clock_time_millis_testing 2.5017261505126953 wall_clock_time_millis_testing 2.550840377807617 wall_clock_time_millis_testing 2.3686885833740234 wall_clock_time_millis_training 227695.26934623718 wall_clock_time_millis_training 136934.0591430664 wall_clock_time_millis_training 123358.95419120789 wall_clock_time_millis_training 135470.9553718567 wall_clock_time_millis_training 198872.34950065613 wall_clock_time_millis_training 254065.31023979187 wall_clock_time_millis_training 263619.78673934937 wall_clock_time_millis_training 292076.6508579254 wall_clock_time_millis_training 232486.67287826538 wall_clock_time_millis_training 136570.71089744568