10367885 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) 8223237 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 341.13570414927165 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.40925841203009883 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0879431242461166 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 31568 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 21657475 description https://api.openml.org/data/download/21657475/description.xml -1 21657476 predictions https://api.openml.org/data/download/21657476/predictions.arff area_under_roc_curve 0.6658507462686568 [0.665851,0.665851] average_cost 0 f_measure 0.697382774665748 [0.768924,0.56391] kappa 0.3328540618260243 kb_relative_information_score 0.3080927432714165 mean_absolute_error 0.3020833333333333 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.696887025012025 [0.765873,0.568182] predictive_accuracy 0.6979166666666667 prior_entropy 0.9331348051619819 recall 0.6979166666666666 [0.772,0.559701] relative_absolute_error 0.6646624598166475 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5496210815947049 root_relative_squared_error 1.15311349874144 total_cost 0 area_under_roc_curve 0.6592592592592592 [0.659259,0.659259] area_under_roc_curve 0.5807407407407408 [0.580741,0.580741] area_under_roc_curve 0.7218518518518519 [0.721852,0.721852] area_under_roc_curve 0.6307407407407407 [0.630741,0.630741] area_under_roc_curve 0.6192592592592593 [0.619259,0.619259] area_under_roc_curve 0.6848148148148149 [0.684815,0.684815] area_under_roc_curve 0.6222222222222222 [0.622222,0.622222] area_under_roc_curve 0.8018518518518518 [0.801852,0.801852] area_under_roc_curve 0.6884615384615383 [0.688462,0.688462] area_under_roc_curve 0.6492307692307694 [0.649231,0.649231] 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 0.6968633878970829 [0.776699,0.54902] f_measure 0.613371322554996 [0.693878,0.464286] f_measure 0.731651934149704 [0.778947,0.644068] f_measure 0.6705036824968293 [0.757282,0.509804] f_measure 0.6507674144037779 [0.727273,0.509091] f_measure 0.7045401695428826 [0.762887,0.596491] f_measure 0.6664899726124217 [0.761905,0.489796] f_measure 0.8286619148983513 [0.873786,0.745098] f_measure 0.722343132146032 [0.792079,0.588235] f_measure 0.6842105263157895 [0.76,0.538462] kappa 0.32687191182060055 kappa 0.15877640203932997 kappa 0.4255772646536413 kappa 0.26833903458760927 kappa 0.23650385604113103 kappa 0.36041892379920554 kappa 0.2553191489361703 kappa 0.619536297985557 kappa 0.3804347826086957 kappa 0.29846153846153856 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.10906483207741705 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.25755402673118133 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.25755402673118133 kb_relative_information_score 0.6139280939002141 kb_relative_information_score 0.3629141743626787 kb_relative_information_score 0.2719019135573468 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.38961038961038963 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.3246753246753247 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.3246753246753247 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.27631578947368424 mean_absolute_error 0.3157894736842105 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 0.6946214163195296 [0.754717,0.583333] precision 0.6171443499029707 [0.708333,0.448276] precision 0.7421085858585859 [0.822222,0.59375] precision 0.6677591276647881 [0.735849,0.541667] precision 0.652398621786377 [0.734694,0.5] precision 0.7098922354241503 [0.787234,0.566667] precision 0.6635182998819362 [0.727273,0.545455] precision 0.8289328595932369 [0.849057,0.791667] precision 0.7212590299277606 [0.784314,0.6] precision 0.6842105263157895 [0.76,0.538462] predictive_accuracy 0.7012987012987013 predictive_accuracy 0.6103896103896104 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.7236842105263157 predictive_accuracy 0.6842105263157895 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 0.7012987012987013 [0.8,0.518519] recall 0.6103896103896104 [0.68,0.481481] recall 0.7272727272727273 [0.74,0.703704] recall 0.6753246753246753 [0.78,0.481481] recall 0.6493506493506493 [0.72,0.518519] recall 0.7012987012987013 [0.74,0.62963] recall 0.6753246753246753 [0.8,0.444444] recall 0.8311688311688312 [0.9,0.703704] recall 0.7236842105263158 [0.8,0.576923] recall 0.6842105263157895 [0.76,0.538462] relative_absolute_error 0.6564851540200902 relative_absolute_error 0.8562849835044658 relative_absolute_error 0.599399488453126 relative_absolute_error 0.7135708195870546 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.7135708195870546 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.6107418038978688 relative_absolute_error 0.6979906330261357 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 0.5465357250000211 root_mean_squared_error 0.6241877839323593 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.5698028822981898 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.5698028822981898 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.5256574830378469 root_mean_squared_error 0.5619514869490163 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.3080896132558644 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.1941169806974095 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.1941169806974095 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.1078835791520962 root_relative_squared_error 1.1843773650342835 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 205.73260700007268 usercpu_time_millis 201.8407919999845 usercpu_time_millis 184.77978700002495 usercpu_time_millis 178.6660299999312 usercpu_time_millis 147.41217100026915 usercpu_time_millis 106.42649999999776 usercpu_time_millis 123.64590499987571 usercpu_time_millis 91.47370700020474 usercpu_time_millis 98.85407700016913 usercpu_time_millis 109.16756999995414 usercpu_time_millis_testing 2.4462080000375863 usercpu_time_millis_testing 2.3927560000629455 usercpu_time_millis_testing 2.449544999990394 usercpu_time_millis_testing 2.3823900000934373 usercpu_time_millis_testing 1.492297000140752 usercpu_time_millis_testing 1.4900999999554188 usercpu_time_millis_testing 1.5316989999973885 usercpu_time_millis_testing 1.4758890001758118 usercpu_time_millis_testing 1.459923000084018 usercpu_time_millis_testing 1.4483360000667744 usercpu_time_millis_training 203.2863990000351 usercpu_time_millis_training 199.44803599992156 usercpu_time_millis_training 182.33024200003456 usercpu_time_millis_training 176.28363999983776 usercpu_time_millis_training 145.9198740001284 usercpu_time_millis_training 104.93640000004234 usercpu_time_millis_training 122.11420599987832 usercpu_time_millis_training 89.99781800002893 usercpu_time_millis_training 97.39415400008511 usercpu_time_millis_training 107.71923399988736 wall_clock_time_millis 205.74235916137695 wall_clock_time_millis 201.86495780944824 wall_clock_time_millis 184.79037284851074 wall_clock_time_millis 178.67612838745117 wall_clock_time_millis 147.4316120147705 wall_clock_time_millis 106.43362998962402 wall_clock_time_millis 123.65460395812988 wall_clock_time_millis 91.48192405700684 wall_clock_time_millis 98.85978698730469 wall_clock_time_millis 109.17472839355469 wall_clock_time_millis_testing 2.448558807373047 wall_clock_time_millis_testing 2.396106719970703 wall_clock_time_millis_testing 2.4521350860595703 wall_clock_time_millis_testing 2.3856163024902344 wall_clock_time_millis_testing 1.4944076538085938 wall_clock_time_millis_testing 1.4925003051757812 wall_clock_time_millis_testing 1.5339851379394531 wall_clock_time_millis_testing 1.4789104461669922 wall_clock_time_millis_testing 1.4624595642089844 wall_clock_time_millis_testing 1.451253890991211 wall_clock_time_millis_training 203.2938003540039 wall_clock_time_millis_training 199.46885108947754 wall_clock_time_millis_training 182.33823776245117 wall_clock_time_millis_training 176.29051208496094 wall_clock_time_millis_training 145.9372043609619 wall_clock_time_millis_training 104.94112968444824 wall_clock_time_millis_training 122.12061882019043 wall_clock_time_millis_training 90.00301361083984 wall_clock_time_millis_training 97.3973274230957 wall_clock_time_millis_training 107.72347450256348