10328757 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) 8184381 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 2.4202862368600835 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.9939108475186176 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 2.5149029218914563 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 33531 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 21579202 description https://api.openml.org/data/download/21579202/description.xml -1 21579203 predictions https://api.openml.org/data/download/21579203/predictions.arff area_under_roc_curve 0.5113134328358209 [0.511313,0.511313] average_cost 0 f_measure 0.5495167114924197 [0.775777,0.127389] kappa 0.028009755376542586 kb_relative_information_score 0.18283367093262048 mean_absolute_error 0.3567708333333333 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.5791361806977396 [0.65651,0.434783] predictive_accuracy 0.6432291666666667 prior_entropy 0.9331348051619819 recall 0.6432291666666666 [0.948,0.074627] relative_absolute_error 0.7849892844386268 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5973029661179771 root_relative_squared_error 1.253150827239986 total_cost 0 area_under_roc_curve 0.5355555555555556 [0.535556,0.535556] area_under_roc_curve 0.5270370370370371 [0.527037,0.527037] area_under_roc_curve 0.497037037037037 [0.497037,0.497037] area_under_roc_curve 0.5355555555555556 [0.535556,0.535556] area_under_roc_curve 0.4885185185185186 [0.488519,0.488519] area_under_roc_curve 0.4785185185185185 [0.478519,0.478519] area_under_roc_curve 0.5170370370370371 [0.517037,0.517037] area_under_roc_curve 0.5255555555555556 [0.525556,0.525556] area_under_roc_curve 0.49923076923076926 [0.499231,0.499231] area_under_roc_curve 0.5084615384615384 [0.508462,0.508462] 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 0.5767111986374281 [0.786885,0.1875] f_measure 0.5599497276916632 [0.790323,0.133333] f_measure 0.5362241064720404 [0.760331,0.121212] f_measure 0.5767111986374281 [0.786885,0.1875] f_measure 0.518874254515482 [0.764228,0.064516] f_measure 0.5115898445816479 [0.754098,0.0625] f_measure 0.5520553404109659 [0.780488,0.129032] f_measure 0.568208650853279 [0.77686,0.181818] f_measure 0.5370722854233987 [0.780488,0.068966] f_measure 0.5552343936353815 [0.77686,0.129032] kappa 0.08751139471285312 kappa 0.06797020484171326 kappa -0.007216959855660766 kappa 0.08751139471285312 kappa -0.02855826807922625 kappa -0.052871467639015686 kappa 0.04237678489175489 kappa 0.06224627875507448 kappa -0.0019531250000001383 kappa 0.020992366412213696 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.10906483207741705 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.18088965275201482 kb_relative_information_score 0.18088965275201482 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.38961038961038963 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.35526315789473684 mean_absolute_error 0.35526315789473684 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 0.6432900432900432 [0.666667,0.6] precision 0.6637416637416637 [0.662162,0.666667] precision 0.5375891713919884 [0.647887,0.333333] precision 0.6432900432900432 [0.666667,0.6] precision 0.5057374132716599 [0.643836,0.25] precision 0.484992784992785 [0.638889,0.2] precision 0.6022949653086639 [0.657534,0.5] precision 0.6051765136272179 [0.661972,0.5] precision 0.546623407834655 [0.657534,0.333333] precision 0.5723498888065234 [0.661972,0.4] predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6103896103896104 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.6447368421052632 predictive_accuracy 0.6447368421052632 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 0.6623376623376623 [0.96,0.111111] recall 0.6623376623376623 [0.98,0.074074] recall 0.6233766233766234 [0.92,0.074074] recall 0.6623376623376623 [0.96,0.111111] recall 0.6233766233766234 [0.94,0.037037] recall 0.6103896103896104 [0.92,0.037037] recall 0.6493506493506493 [0.96,0.074074] recall 0.6493506493506493 [0.94,0.111111] recall 0.6447368421052632 [0.96,0.038462] recall 0.6447368421052632 [0.94,0.076923] relative_absolute_error 0.742113652370537 relative_absolute_error 0.742113652370537 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.742113652370537 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.8562849835044658 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.7852394621544028 relative_absolute_error 0.7852394621544028 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 0.5810872031479765 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.6241877839323593 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.5960395606792697 root_mean_squared_error 0.5960395606792697 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.3080896132558644 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.2562218994493952 root_relative_squared_error 1.2562218994493952 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 48.92710500280373 usercpu_time_millis 50.06916099227965 usercpu_time_millis 50.10748701170087 usercpu_time_millis 48.496432005777024 usercpu_time_millis 48.116808000486344 usercpu_time_millis 48.82329401152674 usercpu_time_millis 48.88538601517212 usercpu_time_millis 48.62614901503548 usercpu_time_millis 50.53774100088049 usercpu_time_millis 49.086150000221096 usercpu_time_millis_testing 3.9050199993653223 usercpu_time_millis_testing 3.797832003328949 usercpu_time_millis_testing 3.8508090074174106 usercpu_time_millis_testing 3.8497269997606054 usercpu_time_millis_testing 3.8713690009899437 usercpu_time_millis_testing 3.870019005262293 usercpu_time_millis_testing 3.862805009703152 usercpu_time_millis_testing 3.878137009451166 usercpu_time_millis_testing 3.8434549933299422 usercpu_time_millis_testing 3.8206280005397275 usercpu_time_millis_training 45.022085003438406 usercpu_time_millis_training 46.2713289889507 usercpu_time_millis_training 46.25667800428346 usercpu_time_millis_training 44.64670500601642 usercpu_time_millis_training 44.2454389994964 usercpu_time_millis_training 44.95327500626445 usercpu_time_millis_training 45.022581005468965 usercpu_time_millis_training 44.748012005584314 usercpu_time_millis_training 46.694286007550545 usercpu_time_millis_training 45.26552199968137 wall_clock_time_millis 72.9665756225586 wall_clock_time_millis 50.440073013305664 wall_clock_time_millis 50.14777183532715 wall_clock_time_millis 48.51651191711426 wall_clock_time_millis 48.15554618835449 wall_clock_time_millis 48.845767974853516 wall_clock_time_millis 48.92587661743164 wall_clock_time_millis 48.64621162414551 wall_clock_time_millis 50.563812255859375 wall_clock_time_millis 49.13902282714844 wall_clock_time_millis_testing 3.916025161743164 wall_clock_time_millis_testing 3.8275718688964844 wall_clock_time_millis_testing 3.860950469970703 wall_clock_time_millis_testing 3.8602352142333984 wall_clock_time_millis_testing 3.88336181640625 wall_clock_time_millis_testing 3.882169723510742 wall_clock_time_millis_testing 3.875255584716797 wall_clock_time_millis_testing 3.888845443725586 wall_clock_time_millis_testing 3.8568973541259766 wall_clock_time_millis_testing 3.8330554962158203 wall_clock_time_millis_training 69.05055046081543 wall_clock_time_millis_training 46.61250114440918 wall_clock_time_millis_training 46.286821365356445 wall_clock_time_millis_training 44.65627670288086 wall_clock_time_millis_training 44.27218437194824 wall_clock_time_millis_training 44.96359825134277 wall_clock_time_millis_training 45.050621032714844 wall_clock_time_millis_training 44.75736618041992 wall_clock_time_millis_training 46.7069149017334 wall_clock_time_millis_training 45.30596733093262