10291054 8323 Heinrich Peters 37 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8166725 l2_regularization 1.0 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 128 12677 max_depth 16 12677 max_iter 100 12677 max_leaf_nodes 128 12677 min_samples_leaf 10 12677 n_iter_no_change null 12677 random_state 61915 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21503626 description https://api.openml.org/data/download/21503626/description.xml -1 21503627 predictions https://api.openml.org/data/download/21503627/predictions.arff area_under_roc_curve 0.8063880597014924 [0.806388,0.806388] average_cost 0 f_measure 0.7441575411841151 [0.810916,0.619608] kappa 0.4312587796982838 kb_relative_information_score 0.37719005585997245 mean_absolute_error 0.2787527226048565 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.7427245689700323 [0.790875,0.652893] predictive_accuracy 0.7473958333333333 prior_entropy 0.9331348051619819 recall 0.7473958333333334 [0.832,0.589552] relative_absolute_error 0.6133290050884355 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.433052397423386 root_relative_squared_error 0.9085506030488842 total_cost 0 area_under_roc_curve 0.9051851851851852 [0.905185,0.905185] area_under_roc_curve 0.737037037037037 [0.737037,0.737037] area_under_roc_curve 0.8244444444444444 [0.824444,0.824444] area_under_roc_curve 0.7985185185185185 [0.798519,0.798519] area_under_roc_curve 0.7481481481481481 [0.748148,0.748148] area_under_roc_curve 0.7814814814814814 [0.781481,0.781481] area_under_roc_curve 0.8429629629629629 [0.842963,0.842963] area_under_roc_curve 0.8274074074074074 [0.827407,0.827407] area_under_roc_curve 0.8292307692307691 [0.829231,0.829231] area_under_roc_curve 0.7569230769230769 [0.756923,0.756923] 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 0.8409190809190809 [0.884615,0.76] f_measure 0.7198515769944341 [0.8,0.571429] f_measure 0.7922077922077921 [0.84,0.703704] f_measure 0.7465323791854402 [0.819048,0.612245] f_measure 0.6591545709192769 [0.745098,0.5] f_measure 0.7115923292393881 [0.784314,0.576923] f_measure 0.7260499634869146 [0.792079,0.603774] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.7662349018964857 [0.841121,0.622222] f_measure 0.7026777469990766 [0.757895,0.596491] kappa 0.6457055214723926 kappa 0.3744680851063831 kappa 0.5437037037037038 kappa 0.4340425531914895 kappa 0.24566691785983413 kappa 0.3617181612660135 kappa 0.39596563317146066 kappa 0.4936170212765959 kappa 0.4687499999999999 kappa 0.3573529411764704 kb_relative_information_score 0.5868096136240799 kb_relative_information_score 0.2738189108691346 kb_relative_information_score 0.4004556840476267 kb_relative_information_score 0.3529093948390568 kb_relative_information_score 0.2560006952010624 kb_relative_information_score 0.3055305023669889 kb_relative_information_score 0.4307037794357532 kb_relative_information_score 0.448402966361735 kb_relative_information_score 0.41188924245313074 kb_relative_information_score 0.30458053390964934 mean_absolute_error 0.192680420364547 mean_absolute_error 0.32237344451271477 mean_absolute_error 0.27159837214702076 mean_absolute_error 0.2931631511957077 mean_absolute_error 0.32871069262244634 mean_absolute_error 0.3103230030189318 mean_absolute_error 0.25329103552198295 mean_absolute_error 0.24965903396834027 mean_absolute_error 0.2610010070853002 mean_absolute_error 0.3048352580785107 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.8428174080347993 [0.851852,0.826087] precision 0.71900826446281 [0.763636,0.636364] precision 0.7922077922077922 [0.84,0.703704] precision 0.7467532467532467 [0.781818,0.681818] precision 0.6568631368631368 [0.730769,0.52] precision 0.70989010989011 [0.769231,0.6] precision 0.7250788427259015 [0.784314,0.615385] precision 0.7744982290436836 [0.8,0.727273] precision 0.7714681440443213 [0.789474,0.736842] precision 0.7139219015280136 [0.8,0.548387] predictive_accuracy 0.8441558441558442 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7922077922077922 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7763157894736843 predictive_accuracy 0.6973684210526316 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 recall 0.8441558441558441 [0.92,0.703704] recall 0.7272727272727273 [0.84,0.518519] recall 0.7922077922077922 [0.84,0.703704] recall 0.7532467532467533 [0.86,0.555556] recall 0.6623376623376623 [0.76,0.481481] recall 0.7142857142857143 [0.8,0.555556] recall 0.7272727272727273 [0.8,0.592593] recall 0.7792207792207793 [0.88,0.592593] recall 0.7763157894736842 [0.9,0.538462] recall 0.6973684210526315 [0.72,0.653846] relative_absolute_error 0.4234726664719567 relative_absolute_error 0.7085117516832424 relative_absolute_error 0.5969183928752952 relative_absolute_error 0.6443134238200499 relative_absolute_error 0.7224397436922125 relative_absolute_error 0.6820273139708805 relative_absolute_error 0.5566825627793435 relative_absolute_error 0.5487001565771907 relative_absolute_error 0.5768914841604375 relative_absolute_error 0.6737784900571997 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.3276363502084094 root_mean_squared_error 0.49314681025659135 root_mean_squared_error 0.42195332407554453 root_mean_squared_error 0.4384417563172368 root_mean_squared_error 0.46472657659941136 root_mean_squared_error 0.45274786420209057 root_mean_squared_error 0.41039102851545317 root_mean_squared_error 0.41220611591884915 root_mean_squared_error 0.40633997268884653 root_mean_squared_error 0.4799956528901412 root_relative_squared_error 0.6866166202943895 root_relative_squared_error 1.0334713958080481 root_relative_squared_error 0.8842735707269438 root_relative_squared_error 0.918827830693954 root_relative_squared_error 0.9739120557981344 root_relative_squared_error 0.9488086659682358 root_relative_squared_error 0.8600428518361223 root_relative_squared_error 0.863846670239257 root_relative_squared_error 0.8564082084277529 root_relative_squared_error 1.011646022478651 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 usercpu_time_millis 908.3344120008405 usercpu_time_millis 754.6175009920262 usercpu_time_millis 868.4695759729948 usercpu_time_millis 861.1491630144883 usercpu_time_millis 969.2285910132341 usercpu_time_millis 835.443852993194 usercpu_time_millis 794.847473007394 usercpu_time_millis 870.7063930050936 usercpu_time_millis 430.9594279911835 usercpu_time_millis 513.841791980667 usercpu_time_millis_testing 4.439687007106841 usercpu_time_millis_testing 4.954390984494239 usercpu_time_millis_testing 4.073363990755752 usercpu_time_millis_testing 4.351695999503136 usercpu_time_millis_testing 6.194065004820004 usercpu_time_millis_testing 4.292386991437525 usercpu_time_millis_testing 4.84441002481617 usercpu_time_millis_testing 2.8780970023944974 usercpu_time_millis_testing 2.756314992439002 usercpu_time_millis_testing 3.0788820004090667 usercpu_time_millis_training 903.8947249937337 usercpu_time_millis_training 749.6631100075319 usercpu_time_millis_training 864.396211982239 usercpu_time_millis_training 856.7974670149852 usercpu_time_millis_training 963.0345260084141 usercpu_time_millis_training 831.1514660017565 usercpu_time_millis_training 790.0030629825778 usercpu_time_millis_training 867.8282960026991 usercpu_time_millis_training 428.2031129987445 usercpu_time_millis_training 510.762909980258 wall_clock_time_millis 908.8156223297119 wall_clock_time_millis 754.6596527099609 wall_clock_time_millis 868.7705993652344 wall_clock_time_millis 861.7408275604248 wall_clock_time_millis 969.2754745483398 wall_clock_time_millis 835.4876041412354 wall_clock_time_millis 794.9016094207764 wall_clock_time_millis 870.7630634307861 wall_clock_time_millis 430.9868812561035 wall_clock_time_millis 513.8585567474365 wall_clock_time_millis_testing 4.44793701171875 wall_clock_time_millis_testing 4.966259002685547 wall_clock_time_millis_testing 4.086017608642578 wall_clock_time_millis_testing 4.361391067504883 wall_clock_time_millis_testing 6.206989288330078 wall_clock_time_millis_testing 4.303932189941406 wall_clock_time_millis_testing 4.8580169677734375 wall_clock_time_millis_testing 2.8874874114990234 wall_clock_time_millis_testing 2.763032913208008 wall_clock_time_millis_testing 3.0858516693115234 wall_clock_time_millis_training 904.3676853179932 wall_clock_time_millis_training 749.6933937072754 wall_clock_time_millis_training 864.6845817565918 wall_clock_time_millis_training 857.3794364929199 wall_clock_time_millis_training 963.0684852600098 wall_clock_time_millis_training 831.183671951294 wall_clock_time_millis_training 790.0435924530029 wall_clock_time_millis_training 867.8755760192871 wall_clock_time_millis_training 428.2238483428955 wall_clock_time_millis_training 510.772705078125