10367349 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) 8222701 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 129.85452509049924 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 1.176591720889096 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 59009 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 21656403 description https://api.openml.org/data/download/21656403/description.xml -1 21656404 predictions https://api.openml.org/data/download/21656404/predictions.arff area_under_roc_curve 0.6088955223880598 [0.608896,0.608896] average_cost 0 f_measure 0.6590844041269327 [0.767658,0.456522] kappa 0.23312883435582807 kb_relative_information_score 0.2544102836976473 mean_absolute_error 0.3255208333333333 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.657642505787037 [0.717014,0.546875] predictive_accuracy 0.6744791666666667 prior_entropy 0.9331348051619819 recall 0.6744791666666666 [0.826,0.391791] relative_absolute_error 0.716231098940353 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.570544330734548 root_relative_squared_error 1.1970107978600983 total_cost 0 area_under_roc_curve 0.6337037037037037 [0.633704,0.633704] area_under_roc_curve 0.5396296296296297 [0.53963,0.53963] area_under_roc_curve 0.6777777777777779 [0.677778,0.677778] area_under_roc_curve 0.6537037037037037 [0.653704,0.653704] area_under_roc_curve 0.5181481481481481 [0.518148,0.518148] area_under_roc_curve 0.5466666666666666 [0.546667,0.546667] area_under_roc_curve 0.5681481481481482 [0.568148,0.568148] area_under_roc_curve 0.6422222222222224 [0.642222,0.642222] area_under_roc_curve 0.6030769230769231 [0.603077,0.603077] area_under_roc_curve 0.7084615384615386 [0.708462,0.708462] 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 0.6837602764208268 [0.788991,0.488889] f_measure 0.5938653845630589 [0.738739,0.325581] f_measure 0.7115923292393881 [0.784314,0.576923] f_measure 0.7059025198560083 [0.810811,0.511628] f_measure 0.5702033815241362 [0.698113,0.333333] f_measure 0.5970656701788778 [0.716981,0.375] f_measure 0.6218746683862963 [0.756757,0.372093] f_measure 0.688825590794173 [0.785047,0.510638] f_measure 0.6609706083390293 [0.781818,0.428571] f_measure 0.7459877154745392 [0.815534,0.612245] kappa 0.2896109105495387 kappa 0.08745402533714755 kappa 0.3617181612660135 kappa 0.33919084593379656 kappa 0.038251366120218455 kappa 0.09836065573770482 kappa 0.1503882304863098 kappa 0.302481291847184 kappa 0.22711864406779664 kappa 0.42879746835443044 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.1387626710081699 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.3763453824541927 kb_relative_information_score 0.04966915421591134 kb_relative_information_score 0.10906483207741705 kb_relative_information_score 0.19815834886967565 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.2719019135573468 kb_relative_information_score 0.42358901489956674 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.4155844155844156 mean_absolute_error 0.38961038961038963 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.3157894736842105 mean_absolute_error 0.25 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 0.687541272287035 [0.728814,0.611111] precision 0.5898578880136257 [0.672131,0.4375] precision 0.70989010989011 [0.769231,0.6] precision 0.7201005961251863 [0.737705,0.6875] precision 0.5626159554730983 [0.660714,0.380952] precision 0.5909090909090909 [0.678571,0.428571] precision 0.6224185650415158 [0.688525,0.5] precision 0.6888585099111415 [0.736842,0.6] precision 0.6639254385964912 [0.716667,0.5625] precision 0.7444626743232158 [0.792453,0.652174] predictive_accuracy 0.7012987012987013 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.5844155844155844 predictive_accuracy 0.6103896103896104 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7012987012987013 predictive_accuracy 0.6842105263157895 predictive_accuracy 0.75 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 [0.86,0.407407] recall 0.6233766233766234 [0.82,0.259259] recall 0.7142857142857143 [0.8,0.555556] recall 0.7272727272727273 [0.9,0.407407] recall 0.5844155844155844 [0.74,0.296296] recall 0.6103896103896104 [0.76,0.333333] recall 0.6493506493506493 [0.84,0.296296] recall 0.7012987012987013 [0.84,0.444444] recall 0.6842105263157895 [0.86,0.346154] recall 0.75 [0.84,0.576923] relative_absolute_error 0.6564851540200902 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.599399488453126 relative_absolute_error 0.9133706490714301 relative_absolute_error 0.8562849835044658 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.6564851540200902 relative_absolute_error 0.6979906330261357 relative_absolute_error 0.5525759178123575 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 0.6136964857512031 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.6446583712203042 root_mean_squared_error 0.6241877839323593 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.5465357250000211 root_mean_squared_error 0.5619514869490163 root_mean_squared_error 0.5 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.3509891433298302 root_relative_squared_error 1.3080896132558644 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.1843773650342835 root_relative_squared_error 1.0538074838671416 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 56.66344000019308 usercpu_time_millis 56.80595700005142 usercpu_time_millis 55.93415700013793 usercpu_time_millis 55.52351300025293 usercpu_time_millis 55.445409000185464 usercpu_time_millis 57.108749000008174 usercpu_time_millis 56.37868499979959 usercpu_time_millis 57.04728399996384 usercpu_time_millis 57.72292399979051 usercpu_time_millis 55.079402999808735 usercpu_time_millis_testing 3.822151000122176 usercpu_time_millis_testing 3.730760000053124 usercpu_time_millis_testing 3.832563000059963 usercpu_time_millis_testing 3.753782000103456 usercpu_time_millis_testing 3.757486000040444 usercpu_time_millis_testing 3.860521999968114 usercpu_time_millis_testing 3.877192999880208 usercpu_time_millis_testing 3.869116000032591 usercpu_time_millis_testing 3.9067839998097043 usercpu_time_millis_testing 3.7087529999553226 usercpu_time_millis_training 52.8412890000709 usercpu_time_millis_training 53.0751969999983 usercpu_time_millis_training 52.10159400007797 usercpu_time_millis_training 51.76973100014948 usercpu_time_millis_training 51.68792300014502 usercpu_time_millis_training 53.24822700004006 usercpu_time_millis_training 52.50149199991938 usercpu_time_millis_training 53.17816799993125 usercpu_time_millis_training 53.816139999980805 usercpu_time_millis_training 51.37064999985341 wall_clock_time_millis 56.67233467102051 wall_clock_time_millis 56.830644607543945 wall_clock_time_millis 55.94158172607422 wall_clock_time_millis 55.532217025756836 wall_clock_time_millis 55.45330047607422 wall_clock_time_millis 57.115793228149414 wall_clock_time_millis 56.38694763183594 wall_clock_time_millis 57.05618858337402 wall_clock_time_millis 57.73115158081055 wall_clock_time_millis 55.088043212890625 wall_clock_time_millis_testing 3.8259029388427734 wall_clock_time_millis_testing 3.734588623046875 wall_clock_time_millis_testing 3.8352012634277344 wall_clock_time_millis_testing 3.7572383880615234 wall_clock_time_millis_testing 3.760814666748047 wall_clock_time_millis_testing 3.8635730743408203 wall_clock_time_millis_testing 3.880023956298828 wall_clock_time_millis_testing 3.872394561767578 wall_clock_time_millis_testing 3.910064697265625 wall_clock_time_millis_testing 3.711700439453125 wall_clock_time_millis_training 52.846431732177734 wall_clock_time_millis_training 53.09605598449707 wall_clock_time_millis_training 52.106380462646484 wall_clock_time_millis_training 51.77497863769531 wall_clock_time_millis_training 51.69248580932617 wall_clock_time_millis_training 53.252220153808594 wall_clock_time_millis_training 52.50692367553711 wall_clock_time_millis_training 53.183794021606445 wall_clock_time_millis_training 53.82108688354492 wall_clock_time_millis_training 51.3763427734375