10418851 10580 Thomas Fan 9946 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. 1510 wdbc https://www.openml.org/data/download/1592318/phpAmSP4g -1 21760119 description https://api.openml.org/data/download/21760119/description.xml -1 21760120 predictions https://api.openml.org/data/download/21760120/predictions.arff -1 21760121 trace https://api.openml.org/data/download/21760121/trace.arff area_under_roc_curve 0.9952698060356218 [0.99527,0.99527] average_cost 0 f_measure 0.9701086002622853 [0.976224,0.959811] kappa 0.9360348624217215 kb_relative_information_score 0.9255135812242378 mean_absolute_error 0.03459342322029008 mean_prior_absolute_error 0.46764379083961705 number_of_instances 569 [357,212] precision 0.970100571129809 [0.97486,0.962085] predictive_accuracy 0.9701230228471002 prior_entropy 0.9526357368194003 recall 0.9701230228471002 [0.977591,0.957547] relative_absolute_error 0.07397387476947007 root_mean_prior_squared_error 0.4834927399189952 root_mean_squared_error 0.1570691344538464 root_relative_squared_error 0.3248634808459831 total_cost 0 area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9973544973544973 [0.997354,0.997354] area_under_roc_curve 0.9920634920634921 [0.992063,0.992063] area_under_roc_curve 0.9986772486772487 [0.998677,0.998677] area_under_roc_curve 0.9986772486772487 [0.998677,0.998677] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.966931216931217 [0.966931,0.966931] area_under_roc_curve 0.9974025974025974 [0.997403,0.997403] area_under_roc_curve 0.9935064935064934 [0.993506,0.993506] area_under_roc_curve 0.998639455782313 [0.998639,0.998639] 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 1 [1,1] f_measure 0.9652084757347914 [0.971429,0.954545] f_measure 0.9823623542652152 [0.986301,0.97561] f_measure 0.9649122807017544 [0.972222,0.952381] f_measure 0.9825365904115021 [0.985915,0.976744] f_measure 0.9823623542652152 [0.986301,0.97561] f_measure 0.9290184921763869 [0.945946,0.9] f_measure 0.9823756902902523 [0.985915,0.976744] f_measure 0.9475718281210272 [0.956522,0.933333] f_measure 0.9642857142857143 [0.971429,0.952381] kappa 1 kappa 0.9260700389105059 kappa 0.9619238476953906 kappa 0.9246031746031746 kappa 0.9626719056974459 kappa 0.9619238476953906 kappa 0.8461538461538461 kappa 0.9626719056974459 kappa 0.8898905344494525 kappa 0.9238095238095239 kb_relative_information_score 0.9737521498046315 kb_relative_information_score 0.9157461764114793 kb_relative_information_score 0.9342629173220236 kb_relative_information_score 0.9291536002216053 kb_relative_information_score 0.9519669605836727 kb_relative_information_score 0.941163612604449 kb_relative_information_score 0.8458133489951604 kb_relative_information_score 0.9592371537691278 kb_relative_information_score 0.8763613899342498 kb_relative_information_score 0.9279220211199611 mean_absolute_error 0.013456722165897819 mean_absolute_error 0.03784483949781014 mean_absolute_error 0.031732840215088376 mean_absolute_error 0.03247573694628299 mean_absolute_error 0.02291546351302314 mean_absolute_error 0.02883714632935106 mean_absolute_error 0.06969672738228276 mean_absolute_error 0.019193212632143367 mean_absolute_error 0.05752238412335251 mean_absolute_error 0.03221747611512206 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4710418778996528 mean_prior_absolute_error 0.4710418778996528 mean_prior_absolute_error 0.4682574430823117 number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [35,22] number_of_instances 57 [35,22] number_of_instances 56 [35,21] precision 1 [1,1] precision 0.9679633867276888 [1,0.913043] precision 0.9829302987197724 [0.972973,1] precision 0.9649122807017544 [0.972222,0.952381] precision 0.9832535885167464 [1,0.954545] precision 0.9829302987197724 [0.972973,1] precision 0.9307479224376731 [0.921053,0.947368] precision 0.982943469785575 [0.972222,1] precision 0.9483779781935656 [0.970588,0.913043] precision 0.9642857142857143 [0.971429,0.952381] predictive_accuracy 1 predictive_accuracy 0.9649122807017544 predictive_accuracy 0.9824561403508772 predictive_accuracy 0.9649122807017544 predictive_accuracy 0.9824561403508772 predictive_accuracy 0.9824561403508772 predictive_accuracy 0.9298245614035088 predictive_accuracy 0.9824561403508772 predictive_accuracy 0.9473684210526316 predictive_accuracy 0.9642857142857143 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9626598502888526 prior_entropy 0.9626598502888526 prior_entropy 0.9544459669879928 recall 1 [1,1] recall 0.9649122807017544 [0.944444,1] recall 0.9824561403508771 [1,0.952381] recall 0.9649122807017544 [0.972222,0.952381] recall 0.9824561403508771 [0.972222,1] recall 0.9824561403508771 [1,0.952381] recall 0.9298245614035088 [0.972222,0.857143] recall 0.9824561403508771 [1,0.954545] recall 0.9473684210526315 [0.942857,0.954545] recall 0.9642857142857143 [0.971429,0.952381] relative_absolute_error 0.028840770205022803 relative_absolute_error 0.08110996912519601 relative_absolute_error 0.06801058543925204 relative_absolute_error 0.06960277955950694 relative_absolute_error 0.04911297187925484 relative_absolute_error 0.06180446474261747 relative_absolute_error 0.14937570038925044 relative_absolute_error 0.040746297797819464 relative_absolute_error 0.12211734629592032 relative_absolute_error 0.06880291299386516 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4869941648669064 root_mean_prior_squared_error 0.4869941648669064 root_mean_prior_squared_error 0.4841269273621067 root_mean_squared_error 0.06702178655266645 root_mean_squared_error 0.1586117087592288 root_mean_squared_error 0.1470451040639405 root_mean_squared_error 0.14257170884182233 root_mean_squared_error 0.1333104030403064 root_mean_squared_error 0.13224848977105036 root_mean_squared_error 0.24551708863550772 root_mean_squared_error 0.1328051608944432 root_mean_squared_error 0.19760866850128886 root_mean_squared_error 0.15116308970865372 root_relative_squared_error 0.1389345111686455 root_relative_squared_error 0.328798161845035 root_relative_squared_error 0.30482087547475845 root_relative_squared_error 0.295547637466387 root_relative_squared_error 0.27634917886806476 root_relative_squared_error 0.27414785884130527 root_relative_squared_error 0.5089508717634472 root_relative_squared_error 0.2727038031980082 root_relative_squared_error 0.4057721483280904 root_relative_squared_error 0.3122385497793021 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 4082.8752517700195 wall_clock_time_millis 4276.91388130188 wall_clock_time_millis 4151.358604431152 wall_clock_time_millis 4086.613893508911 wall_clock_time_millis 4120.087146759033 wall_clock_time_millis 4216.669797897339 wall_clock_time_millis 4337.356805801392 wall_clock_time_millis 4136.651039123535 wall_clock_time_millis 4110.624074935913 wall_clock_time_millis 3979.7658920288086 wall_clock_time_millis_testing 0.896453857421875 wall_clock_time_millis_testing 1.0428428649902344 wall_clock_time_millis_testing 0.8909702301025391 wall_clock_time_millis_testing 0.8764266967773438 wall_clock_time_millis_testing 0.9002685546875 wall_clock_time_millis_testing 0.8924007415771484 wall_clock_time_millis_testing 1.0895729064941406 wall_clock_time_millis_testing 1.0006427764892578 wall_clock_time_millis_testing 0.9973049163818359 wall_clock_time_millis_testing 1.032114028930664 wall_clock_time_millis_training 4081.9787979125977 wall_clock_time_millis_training 4275.87103843689 wall_clock_time_millis_training 4150.46763420105 wall_clock_time_millis_training 4085.737466812134 wall_clock_time_millis_training 4119.186878204346 wall_clock_time_millis_training 4215.777397155762 wall_clock_time_millis_training 4336.2672328948975 wall_clock_time_millis_training 4135.650396347046 wall_clock_time_millis_training 4109.626770019531 wall_clock_time_millis_training 3978.733777999878