10362818 8323 Heinrich Peters 37 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8218290 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 20.637991636404358 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7270032659013304 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 3.268409654294397 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 3098 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 21647338 description https://api.openml.org/data/download/21647338/description.xml -1 21647339 predictions https://api.openml.org/data/download/21647339/predictions.arff area_under_roc_curve 0.5025223880597015 [0.502522,0.502522] average_cost 0 f_measure 0.5323896586255343 [0.778047,0.074074] kappa 0.006360796416876982 kb_relative_information_score 0.17985131206741106 mean_absolute_error 0.3580729166666667 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.5569942003795125 [0.652233,0.37931] predictive_accuracy 0.6419270833333333 prior_entropy 0.9331348051619819 recall 0.6419270833333334 [0.964,0.041045] relative_absolute_error 0.7878542088343885 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5983919423477113 root_relative_squared_error 1.255435516150884 total_cost 0 area_under_roc_curve 0.49000000000000005 [0.49,0.49] area_under_roc_curve 0.5085185185185185 [0.508519,0.508519] area_under_roc_curve 0.497037037037037 [0.497037,0.497037] area_under_roc_curve 0.5185185185185185 [0.518519,0.518519] area_under_roc_curve 0.4885185185185186 [0.488519,0.488519] area_under_roc_curve 0.48000000000000004 [0.48,0.48] area_under_roc_curve 0.5270370370370371 [0.527037,0.527037] area_under_roc_curve 0.5070370370370372 [0.507037,0.507037] area_under_roc_curve 0.49000000000000005 [0.49,0.49] area_under_roc_curve 0.5184615384615384 [0.518462,0.518462] 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 0.505050505050505 [0.777778,0] f_measure 0.5332736229287953 [0.784,0.068966] f_measure 0.5362241064720404 [0.760331,0.121212] f_measure 0.5404040404040404 [0.793651,0.071429] f_measure 0.518874254515482 [0.764228,0.064516] f_measure 0.4987012987012987 [0.768,0] f_measure 0.5599497276916632 [0.790323,0.133333] f_measure 0.544150521609538 [0.770492,0.125] f_measure 0.5157894736842106 [0.784,0] f_measure 0.5633016968651137 [0.786885,0.133333] kappa -0.025689819219790785 kappa 0.021647058823529533 kappa -0.007216959855660766 kappa 0.04757373929590858 kappa -0.02855826807922625 kappa -0.0508235294117646 kappa 0.06797020484171326 kappa 0.01731996353691871 kappa -0.02599999999999991 kappa 0.0463320463320465 kb_relative_information_score 0.16846050993892273 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.16846050993892273 kb_relative_information_score 0.18088965275201482 kb_relative_information_score 0.2112270730204588 mean_absolute_error 0.36363636363636365 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.36363636363636365 mean_absolute_error 0.35526315789473684 mean_absolute_error 0.34210526315789475 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 0.41866028708133973 [0.644737,0] precision 0.5995670995670995 [0.653333,0.5] precision 0.5375891713919884 [0.647887,0.333333] precision 0.7778537252221464 [0.657895,1] precision 0.5057374132716599 [0.643836,0.25] precision 0.4155844155844156 [0.64,0] precision 0.6637416637416637 [0.662162,0.666667] precision 0.5641414141414143 [0.652778,0.4] precision 0.4298245614035087 [0.653333,0] precision 0.6096491228070174 [0.666667,0.5] predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6447368421052632 predictive_accuracy 0.6578947368421052 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 0.6363636363636364 [0.98,0] recall 0.6493506493506493 [0.98,0.037037] recall 0.6233766233766234 [0.92,0.074074] recall 0.6623376623376623 [1,0.037037] recall 0.6233766233766234 [0.94,0.037037] recall 0.6233766233766234 [0.96,0] recall 0.6623376623376623 [0.98,0.074074] recall 0.6363636363636364 [0.94,0.074074] recall 0.6447368421052632 [0.98,0] recall 0.6578947368421053 [0.96,0.076923] relative_absolute_error 0.7991993179375014 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.742113652370537 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.742113652370537 relative_absolute_error 0.7991993179375014 relative_absolute_error 0.7852394621544028 relative_absolute_error 0.756156519111647 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 0.6030226891555273 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.6030226891555273 root_mean_squared_error 0.5960395606792697 root_mean_squared_error 0.5848976518656018 root_relative_squared_error 1.2637346268978644 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.2637346268978644 root_relative_squared_error 1.2562218994493952 root_relative_squared_error 1.2327390456645784 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 81.37794799404219 usercpu_time_millis 72.82996599678881 usercpu_time_millis 69.5705140096834 usercpu_time_millis 69.36978200974409 usercpu_time_millis 71.50076600373723 usercpu_time_millis 69.58431900420692 usercpu_time_millis 71.68404798721895 usercpu_time_millis 70.16509099048562 usercpu_time_millis 69.16392299172003 usercpu_time_millis 70.34163799835369 usercpu_time_millis_testing 5.848695000167936 usercpu_time_millis_testing 4.489441009354778 usercpu_time_millis_testing 4.4770600070478395 usercpu_time_millis_testing 4.426125000463799 usercpu_time_millis_testing 4.49655600823462 usercpu_time_millis_testing 4.3621060031000525 usercpu_time_millis_testing 4.591764998622239 usercpu_time_millis_testing 4.5984219905221835 usercpu_time_millis_testing 4.442687990376726 usercpu_time_millis_testing 4.471685999305919 usercpu_time_millis_training 75.52925299387425 usercpu_time_millis_training 68.34052498743404 usercpu_time_millis_training 65.09345400263555 usercpu_time_millis_training 64.94365700928029 usercpu_time_millis_training 67.0042099955026 usercpu_time_millis_training 65.22221300110687 usercpu_time_millis_training 67.09228298859671 usercpu_time_millis_training 65.56666899996344 usercpu_time_millis_training 64.7212350013433 usercpu_time_millis_training 65.86995199904777 wall_clock_time_millis 81.44068717956543 wall_clock_time_millis 72.8456974029541 wall_clock_time_millis 69.58866119384766 wall_clock_time_millis 69.38791275024414 wall_clock_time_millis 71.51508331298828 wall_clock_time_millis 70.2965259552002 wall_clock_time_millis 71.70462608337402 wall_clock_time_millis 70.18136978149414 wall_clock_time_millis 69.18215751647949 wall_clock_time_millis 70.36209106445312 wall_clock_time_millis_testing 5.858182907104492 wall_clock_time_millis_testing 4.499673843383789 wall_clock_time_millis_testing 4.488468170166016 wall_clock_time_millis_testing 4.437446594238281 wall_clock_time_millis_testing 4.507780075073242 wall_clock_time_millis_testing 4.371881484985352 wall_clock_time_millis_testing 4.602909088134766 wall_clock_time_millis_testing 4.607677459716797 wall_clock_time_millis_testing 4.454135894775391 wall_clock_time_millis_testing 4.483699798583984 wall_clock_time_millis_training 75.58250427246094 wall_clock_time_millis_training 68.34602355957031 wall_clock_time_millis_training 65.10019302368164 wall_clock_time_millis_training 64.95046615600586 wall_clock_time_millis_training 67.00730323791504 wall_clock_time_millis_training 65.92464447021484 wall_clock_time_millis_training 67.10171699523926 wall_clock_time_millis_training 65.57369232177734 wall_clock_time_millis_training 64.7280216217041 wall_clock_time_millis_training 65.87839126586914