10228519 8323 Heinrich Peters 12 Supervised Classification 12677 sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier(2) 8153743 l2_regularization 0.0 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 256 12677 max_depth null 12677 max_iter 100 12677 max_leaf_nodes 31 12677 min_samples_leaf 20 12677 n_iter_no_change null 12677 random_state 19911 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.1 12677 verbose 0 12677 openml-python Sklearn_0.21.2. 12 mfeat-factors https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff -1 21378333 description https://api.openml.org/data/download/21378333/description.xml -1 21378334 predictions https://api.openml.org/data/download/21378334/predictions.arff area_under_roc_curve 0.998811111111111 [0.999819,0.999406,0.999814,0.996281,0.999669,0.996253,0.999536,0.999542,0.998397,0.999394] average_cost 0 f_measure 0.9690099305768335 [0.979798,0.960591,0.977556,0.959799,0.967254,0.964286,0.965347,0.974874,0.965347,0.975248] kappa 0.9655555555555555 kb_relative_information_score 0.9701384781895471 mean_absolute_error 0.0066468520645014215 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9692411952401075 [0.989796,0.946602,0.975124,0.964646,0.974619,0.984375,0.955882,0.979798,0.955882,0.965686] predictive_accuracy 0.9690000000000001 prior_entropy 3.3219280948872383 recall 0.969 [0.97,0.975,0.98,0.955,0.96,0.945,0.975,0.97,0.975,0.985] relative_absolute_error 0.03692695591389565 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.06958421947690882 root_relative_squared_error 0.23194739825635918 total_cost 0 area_under_roc_curve 0.9990555555555555 [0.999167,0.998611,0.999722,1,1,0.997778,0.999444,1,0.995833,1] area_under_roc_curve 0.9993888888888889 [1,0.998611,1,0.9975,1,1,1,0.998333,1,0.999444] area_under_roc_curve 0.9997500000000001 [1,0.999722,0.999444,0.999444,1,1,1,0.998889,1,1] area_under_roc_curve 0.9980555555555556 [0.999722,0.999444,0.999444,0.988056,0.999722,0.999722,1,0.998889,0.999722,0.995833] area_under_roc_curve 0.9955833333333333 [1,1,1,0.985278,0.997778,0.972778,1,1,1,1] area_under_roc_curve 0.9999166666666666 [1,1,1,1,1,1,1,0.999722,1,0.999444] area_under_roc_curve 0.9997499999999999 [1,1,1,0.999167,0.999722,0.998889,0.999722,1,1,1] area_under_roc_curve 0.9989444444444443 [1,0.999167,1,1,0.999722,1,1,1,0.990556,1] area_under_roc_curve 0.9991944444444445 [1,1,1,0.996944,1,0.995,1,1,1,1] area_under_roc_curve 0.9993333333333334 [1,1,1,0.998611,0.999444,0.999444,0.996111,0.999722,1,1] 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 0.9605476013870795 [0.974359,0.930233,0.974359,0.974359,0.974359,0.974359,0.923077,1,0.904762,0.97561] f_measure 0.9648337306681337 [1,0.947368,0.97561,0.9,1,0.95,0.952381,0.947368,1,0.97561] f_measure 0.9599624295259724 [0.947368,0.95,0.926829,0.95,1,0.974359,1,0.923077,0.952381,0.97561] f_measure 0.9701005092468507 [0.974359,0.952381,0.97561,0.974359,0.974359,0.974359,0.97561,0.974359,0.97561,0.95] f_measure 0.9549436207780236 [0.97561,0.952381,0.974359,0.95,0.9,0.947368,0.952381,0.974359,0.947368,0.97561] f_measure 0.9747144596952042 [0.97561,0.97561,0.97561,0.974359,0.947368,1,0.97561,0.97561,1,0.947368] f_measure 0.9799686834346655 [1,0.974359,1,0.952381,0.97561,0.947368,0.974359,0.97561,1,1] f_measure 0.9699754310729919 [0.974359,0.97561,0.974359,1,0.95,0.974359,0.97561,1,0.923077,0.952381] f_measure 0.9849968730456535 [1,0.974359,1,0.95,0.97561,0.95,1,1,1,1] f_measure 0.9699754310729919 [0.974359,0.97561,1,0.974359,0.974359,0.95,0.923077,0.97561,0.952381,1] kappa 0.9555555555555555 kappa 0.961111111111111 kappa 0.9555555555555555 kappa 0.9666666666666667 kappa 0.95 kappa 0.9722222222222222 kappa 0.9777777777777777 kappa 0.9666666666666667 kappa 0.9833333333333333 kappa 0.9666666666666667 kb_relative_information_score 0.9680766808999541 kb_relative_information_score 0.9649411684195229 kb_relative_information_score 0.9656991208985398 kb_relative_information_score 0.9650642276569934 kb_relative_information_score 0.959897862386176 kb_relative_information_score 0.9771680203448877 kb_relative_information_score 0.9765352371815038 kb_relative_information_score 0.9701216806186198 kb_relative_information_score 0.9838569581121329 kb_relative_information_score 0.9700238253768103 mean_absolute_error 0.007011895765777883 mean_absolute_error 0.007419069477240215 mean_absolute_error 0.0074055181793384155 mean_absolute_error 0.00733221707147808 mean_absolute_error 0.008855255477786058 mean_absolute_error 0.005895663328585944 mean_absolute_error 0.006106354263369347 mean_absolute_error 0.006188025895409522 mean_absolute_error 0.0038215041322799278 mean_absolute_error 0.006433017053748895 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.9632950954461252 [1,0.869565,1,1,1,1,0.947368,1,0.863636,0.952381] precision 0.9663852813852813 [1,1,0.952381,0.9,1,0.95,0.909091,1,1,0.952381] precision 0.9613602187286397 [1,0.95,0.904762,0.95,1,1,1,0.947368,0.909091,0.952381] precision 0.9716233766233765 [1,0.909091,0.952381,1,1,1,0.952381,1,0.952381,0.95] precision 0.9572943722943722 [0.952381,0.909091,1,0.95,0.9,1,0.909091,1,1,0.952381] precision 0.976190476190476 [0.952381,0.952381,0.952381,1,1,1,0.952381,0.952381,1,1] precision 0.9813852813852812 [1,1,1,0.909091,0.952381,1,1,0.952381,1,1] precision 0.9711221234905446 [1,0.952381,1,1,0.95,1,0.952381,1,0.947368,0.909091] precision 0.9852380952380951 [1,1,1,0.95,0.952381,0.95,1,1,1,1] precision 0.9711221234905446 [1,0.952381,1,1,1,0.95,0.947368,0.952381,0.909091,1] predictive_accuracy 0.96 predictive_accuracy 0.965 predictive_accuracy 0.96 predictive_accuracy 0.97 predictive_accuracy 0.955 predictive_accuracy 0.975 predictive_accuracy 0.98 predictive_accuracy 0.97 predictive_accuracy 0.985 predictive_accuracy 0.97 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.96 [0.95,1,0.95,0.95,0.95,0.95,0.9,1,0.95,1] recall 0.965 [1,0.9,1,0.9,1,0.95,1,0.9,1,1] recall 0.96 [0.9,0.95,0.95,0.95,1,0.95,1,0.9,1,1] recall 0.97 [0.95,1,1,0.95,0.95,0.95,1,0.95,1,0.95] recall 0.955 [1,1,0.95,0.95,0.9,0.9,1,0.95,0.9,1] recall 0.975 [1,1,1,0.95,0.9,1,1,1,1,0.9] recall 0.98 [1,0.95,1,1,1,0.9,0.95,1,1,1] recall 0.97 [0.95,1,0.95,1,0.95,0.95,1,1,0.9,1] recall 0.985 [1,0.95,1,0.95,1,0.95,1,1,1,1] recall 0.97 [0.95,1,1,0.95,0.95,0.95,0.9,1,1,1] relative_absolute_error 0.038954976476543834 relative_absolute_error 0.04121705265133457 relative_absolute_error 0.04114176766299124 relative_absolute_error 0.04073453928598938 relative_absolute_error 0.04919586376547816 relative_absolute_error 0.03275368515881084 relative_absolute_error 0.033924190352051964 relative_absolute_error 0.03437792164116405 relative_absolute_error 0.021230578512666288 relative_absolute_error 0.03573898363193835 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.07495928961980021 root_mean_squared_error 0.07585730759541993 root_mean_squared_error 0.07434904665948079 root_mean_squared_error 0.0746467970953732 root_mean_squared_error 0.08086075789286672 root_mean_squared_error 0.056792577822121125 root_mean_squared_error 0.05911784048117533 root_mean_squared_error 0.07353656705875708 root_mean_squared_error 0.049292921858454776 root_mean_squared_error 0.06964400738343904 root_relative_squared_error 0.2498642987326675 root_relative_squared_error 0.2528576919847333 root_relative_squared_error 0.24783015553160279 root_relative_squared_error 0.24882265698457748 root_relative_squared_error 0.2695358596428892 root_relative_squared_error 0.18930859274040387 root_relative_squared_error 0.19705946827058454 root_relative_squared_error 0.2451218901958571 root_relative_squared_error 0.1643097395281827 root_relative_squared_error 0.23214669127813026 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 92177.23999999998 usercpu_time_millis 89402.59200000037 usercpu_time_millis 94918.51799999995 usercpu_time_millis 81742.09399999972 usercpu_time_millis 78711.26000000004 usercpu_time_millis 78527.57199999997 usercpu_time_millis 79373.90800000002 usercpu_time_millis 80046.34000000032 usercpu_time_millis 94916.04000000007 usercpu_time_millis 99726.27999999985 usercpu_time_millis_testing 199.34599999987768 usercpu_time_millis_testing 140.50400000041918 usercpu_time_millis_testing 155.22999999984677 usercpu_time_millis_testing 145.79000000003361 usercpu_time_millis_testing 151.810000000296 usercpu_time_millis_testing 174.96600000004037 usercpu_time_millis_testing 159.76799999998548 usercpu_time_millis_testing 172.2380000001067 usercpu_time_millis_testing 241.9159999999465 usercpu_time_millis_testing 166.47199999988516 usercpu_time_millis_training 91977.8940000001 usercpu_time_millis_training 89262.08799999995 usercpu_time_millis_training 94763.2880000001 usercpu_time_millis_training 81596.30399999968 usercpu_time_millis_training 78559.44999999975 usercpu_time_millis_training 78352.60599999993 usercpu_time_millis_training 79214.14000000004 usercpu_time_millis_training 79874.10200000022 usercpu_time_millis_training 94674.12400000013 usercpu_time_millis_training 99559.80799999998 wall_clock_time_millis 22134.081602096558 wall_clock_time_millis 20812.029361724854 wall_clock_time_millis 21057.067155838013 wall_clock_time_millis 17891.977310180664 wall_clock_time_millis 16782.99379348755 wall_clock_time_millis 16715.64292907715 wall_clock_time_millis 16815.00768661499 wall_clock_time_millis 16909.436464309692 wall_clock_time_millis 23569.89073753357 wall_clock_time_millis 22881.144762039185 wall_clock_time_millis_testing 30.38167953491211 wall_clock_time_millis_testing 17.762184143066406 wall_clock_time_millis_testing 20.725011825561523 wall_clock_time_millis_testing 19.37413215637207 wall_clock_time_millis_testing 19.938945770263672 wall_clock_time_millis_testing 23.69379997253418 wall_clock_time_millis_testing 21.481990814208984 wall_clock_time_millis_testing 23.14305305480957 wall_clock_time_millis_testing 39.444923400878906 wall_clock_time_millis_testing 22.942066192626953 wall_clock_time_millis_training 22103.699922561646 wall_clock_time_millis_training 20794.267177581787 wall_clock_time_millis_training 21036.34214401245 wall_clock_time_millis_training 17872.603178024292 wall_clock_time_millis_training 16763.054847717285 wall_clock_time_millis_training 16691.949129104614 wall_clock_time_millis_training 16793.52569580078 wall_clock_time_millis_training 16886.293411254883 wall_clock_time_millis_training 23530.44581413269 wall_clock_time_millis_training 22858.202695846558