10291010 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) 8167197 l2_regularization 0.001 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 16 12677 max_depth 8 12677 max_iter 450 12677 max_leaf_nodes 4 12677 min_samples_leaf 42 12677 n_iter_no_change null 12677 random_state 8664 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 21503538 description https://api.openml.org/data/download/21503538/description.xml -1 21503539 predictions https://api.openml.org/data/download/21503539/predictions.arff area_under_roc_curve 0.8101716417910447 [0.810172,0.810172] average_cost 0 f_measure 0.739166259765625 [0.806641,0.613281] kappa 0.4205584684794537 kb_relative_information_score 0.34816757853787145 mean_absolute_error 0.29451554068595875 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.73766483387561 [0.788168,0.643443] predictive_accuracy 0.7421875 prior_entropy 0.9331348051619819 recall 0.7421875 [0.826,0.585821] relative_absolute_error 0.6480113337155067 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.41738704331157356 root_relative_squared_error 0.8756844487221911 total_cost 0 area_under_roc_curve 0.8703703703703703 [0.87037,0.87037] area_under_roc_curve 0.7155555555555555 [0.715556,0.715556] area_under_roc_curve 0.8288888888888888 [0.828889,0.828889] area_under_roc_curve 0.8192592592592594 [0.819259,0.819259] area_under_roc_curve 0.7637037037037037 [0.763704,0.763704] area_under_roc_curve 0.8244444444444444 [0.824444,0.824444] area_under_roc_curve 0.8155555555555556 [0.815556,0.815556] area_under_roc_curve 0.8607407407407407 [0.860741,0.860741] area_under_roc_curve 0.8292307692307691 [0.829231,0.829231] area_under_roc_curve 0.7623076923076924 [0.762308,0.762308] 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 0.8144055944055943 [0.865385,0.72] f_measure 0.6363636363636364 [0.72,0.481481] f_measure 0.7521404431548276 [0.811881,0.641509] f_measure 0.7198515769944341 [0.8,0.571429] f_measure 0.6883116883116883 [0.76,0.555556] f_measure 0.7402597402597404 [0.8,0.62963] f_measure 0.7700015236304757 [0.841121,0.638298] f_measure 0.7732131813764467 [0.838095,0.653061] f_measure 0.7578441295546557 [0.826923,0.625] f_measure 0.7390301149699646 [0.795918,0.62963] kappa 0.5866564417177915 kappa 0.20148148148148146 kappa 0.4534927157265597 kappa 0.3744680851063831 kappa 0.3155555555555556 kappa 0.4296296296296297 kappa 0.48444269397400563 kappa 0.4936170212765959 kappa 0.45367412140575086 kappa 0.4259818731117823 kb_relative_information_score 0.46193178608106367 kb_relative_information_score 0.2068914783723928 kb_relative_information_score 0.33812714726270665 kb_relative_information_score 0.3483362227253305 kb_relative_information_score 0.23433006289985475 kb_relative_information_score 0.34132053962519554 kb_relative_information_score 0.3666119460037735 kb_relative_information_score 0.4377653547495655 kb_relative_information_score 0.40953708309889625 kb_relative_information_score 0.3379015410656756 mean_absolute_error 0.24950431791422115 mean_absolute_error 0.349986156605092 mean_absolute_error 0.2989367185042455 mean_absolute_error 0.29532994867929524 mean_absolute_error 0.34070924911638223 mean_absolute_error 0.3001704158646987 mean_absolute_error 0.28671898338605606 mean_absolute_error 0.2554262520228377 mean_absolute_error 0.27120977634619586 mean_absolute_error 0.2968917763599705 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 0.8155467720685112 [0.833333,0.782609] precision 0.6363636363636364 [0.72,0.481481] precision 0.7512977218859571 [0.803922,0.653846] precision 0.71900826446281 [0.763636,0.636364] precision 0.6883116883116883 [0.76,0.555556] precision 0.7402597402597403 [0.8,0.62963] precision 0.7756322624743677 [0.789474,0.75] precision 0.7744982290436836 [0.8,0.727273] precision 0.7571327308169413 [0.796296,0.681818] precision 0.7422462406015038 [0.8125,0.607143] predictive_accuracy 0.8181818181818181 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.6883116883116882 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.763157894736842 predictive_accuracy 0.736842105263158 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 0.8181818181818182 [0.9,0.666667] recall 0.6363636363636364 [0.72,0.481481] recall 0.7532467532467533 [0.82,0.62963] recall 0.7272727272727273 [0.84,0.518519] recall 0.6883116883116883 [0.76,0.555556] recall 0.7402597402597403 [0.8,0.62963] recall 0.7792207792207793 [0.9,0.555556] recall 0.7792207792207793 [0.88,0.592593] recall 0.7631578947368421 [0.86,0.576923] recall 0.7368421052631579 [0.78,0.653846] relative_absolute_error 0.5483601219236444 relative_absolute_error 0.7691989185274819 relative_absolute_error 0.6570025592214366 relative_absolute_error 0.6490756072652775 relative_absolute_error 0.7488101486492299 relative_absolute_error 0.6597139769662291 relative_absolute_error 0.6301504438951419 relative_absolute_error 0.5613753375999565 relative_absolute_error 0.5994559643367334 relative_absolute_error 0.6562209832522075 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 0.37121188750971273 root_mean_squared_error 0.48433343100306997 root_mean_squared_error 0.4078005212326955 root_mean_squared_error 0.42339611862616583 root_mean_squared_error 0.4434355884076951 root_mean_squared_error 0.40510263080972625 root_mean_squared_error 0.4176104066356078 root_mean_squared_error 0.3826115842193569 root_mean_squared_error 0.38447798999361166 root_mean_squared_error 0.4412981314923458 root_relative_squared_error 0.7779364269345901 root_relative_squared_error 1.0150014895458883 root_relative_squared_error 0.8546140117388508 root_relative_squared_error 0.8872971873601307 root_relative_squared_error 0.9292932387907268 root_relative_squared_error 0.8489601323601877 root_relative_squared_error 0.875172262850299 root_relative_squared_error 0.8018263928134618 root_relative_squared_error 0.810331566474928 root_relative_squared_error 0.9300865471664399 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 509.88333197892644 usercpu_time_millis 410.6369639921468 usercpu_time_millis 411.062482977286 usercpu_time_millis 381.78478900226764 usercpu_time_millis 414.7890270105563 usercpu_time_millis 429.68694600858726 usercpu_time_millis 404.07257399056107 usercpu_time_millis 513.9480200014077 usercpu_time_millis 474.10378998029046 usercpu_time_millis 463.32933599478565 usercpu_time_millis_testing 16.792054986581206 usercpu_time_millis_testing 15.952652000123635 usercpu_time_millis_testing 14.303605974419042 usercpu_time_millis_testing 12.21576301031746 usercpu_time_millis_testing 13.381803990341723 usercpu_time_millis_testing 16.14208100363612 usercpu_time_millis_testing 14.97313700383529 usercpu_time_millis_testing 15.821705019334331 usercpu_time_millis_testing 15.427990991156548 usercpu_time_millis_testing 14.511380984913558 usercpu_time_millis_training 493.09127699234523 usercpu_time_millis_training 394.68431199202314 usercpu_time_millis_training 396.75887700286694 usercpu_time_millis_training 369.5690259919502 usercpu_time_millis_training 401.4072230202146 usercpu_time_millis_training 413.54486500495113 usercpu_time_millis_training 389.0994369867258 usercpu_time_millis_training 498.1263149820734 usercpu_time_millis_training 458.6757989891339 usercpu_time_millis_training 448.8179550098721 wall_clock_time_millis 509.93919372558594 wall_clock_time_millis 410.66622734069824 wall_clock_time_millis 411.09514236450195 wall_clock_time_millis 381.8020820617676 wall_clock_time_millis 414.8836135864258 wall_clock_time_millis 429.7175407409668 wall_clock_time_millis 404.11376953125 wall_clock_time_millis 513.9713287353516 wall_clock_time_millis 474.1380214691162 wall_clock_time_millis 463.3669853210449 wall_clock_time_millis_testing 16.804218292236328 wall_clock_time_millis_testing 15.96522331237793 wall_clock_time_millis_testing 14.316082000732422 wall_clock_time_millis_testing 12.226343154907227 wall_clock_time_millis_testing 13.396263122558594 wall_clock_time_millis_testing 16.1592960357666 wall_clock_time_millis_testing 14.984607696533203 wall_clock_time_millis_testing 15.835046768188477 wall_clock_time_millis_testing 15.43879508972168 wall_clock_time_millis_testing 14.522075653076172 wall_clock_time_millis_training 493.1349754333496 wall_clock_time_millis_training 394.7010040283203 wall_clock_time_millis_training 396.77906036376953 wall_clock_time_millis_training 369.57573890686035 wall_clock_time_millis_training 401.4873504638672 wall_clock_time_millis_training 413.5582447052002 wall_clock_time_millis_training 389.1291618347168 wall_clock_time_millis_training 498.1362819671631 wall_clock_time_millis_training 458.69922637939453 wall_clock_time_millis_training 448.84490966796875