10362759 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) 8218231 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 87.65741253146723 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.2654108694661843 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.4961303116379301 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 5707 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 21647220 description https://api.openml.org/data/download/21647220/description.xml -1 21647221 predictions https://api.openml.org/data/download/21647221/predictions.arff area_under_roc_curve 0.6505223880597014 [0.650522,0.650522] average_cost 0 f_measure 0.6831764906967651 [0.757727,0.54409] kappa 0.30182862957531503 kb_relative_information_score 0.2752867957541134 mean_absolute_error 0.31640625 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.6827800883378972 [0.755467,0.54717] predictive_accuracy 0.68359375 prior_entropy 0.9331348051619819 recall 0.68359375 [0.76,0.541045] relative_absolute_error 0.6961766281700231 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.5625 root_relative_squared_error 1.1801336680174186 total_cost 0 area_under_roc_curve 0.6507407407407407 [0.650741,0.650741] area_under_roc_curve 0.5822222222222222 [0.582222,0.582222] area_under_roc_curve 0.7118518518518518 [0.711852,0.711852] area_under_roc_curve 0.7433333333333333 [0.743333,0.743333] area_under_roc_curve 0.5922222222222222 [0.592222,0.592222] area_under_roc_curve 0.6377777777777778 [0.637778,0.637778] area_under_roc_curve 0.5737037037037037 [0.573704,0.573704] area_under_roc_curve 0.6877777777777778 [0.687778,0.687778] area_under_roc_curve 0.6592307692307692 [0.659231,0.659231] area_under_roc_curve 0.6676923076923077 [0.667692,0.667692] 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 0.6931707748034278 [0.780952,0.530612] f_measure 0.6216880448152632 [0.712871,0.45283] f_measure 0.719452887537994 [0.765957,0.633333] f_measure 0.7662337662337663 [0.82,0.666667] f_measure 0.6329356917592212 [0.72549,0.461538] f_measure 0.6649218128809966 [0.734694,0.535714] f_measure 0.617784271696322 [0.718447,0.431373] f_measure 0.7232230932973366 [0.796117,0.588235] f_measure 0.6958996209218445 [0.772277,0.54902] f_measure 0.6889097744360901 [0.75,0.571429] kappa 0.3148936170212767 kappa 0.16585730295106466 kappa 0.4031007751937985 kappa 0.48666666666666675 kappa 0.18764129615674444 kappa 0.270939548434086 kappa 0.1512732801216267 kappa 0.3854047890535918 kappa 0.32142857142857123 kappa 0.32344213649851633 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.13876267100816986 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.46543889924645093 kb_relative_information_score 0.1684605099389228 kb_relative_information_score 0.22785618780042838 kb_relative_information_score 0.1387626710081699 kb_relative_information_score 0.37634538245419263 kb_relative_information_score 0.30223933382579077 kb_relative_information_score 0.2719019135573468 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.36363636363636365 mean_absolute_error 0.33766233766233766 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.3026315789473684 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 0.6912632821723731 [0.745455,0.590909] precision 0.6202033260856791 [0.705882,0.461538] precision 0.7331759149940968 [0.818182,0.575758] precision 0.7662337662337663 [0.82,0.666667] precision 0.6303496503496504 [0.711538,0.48] precision 0.6683833407971339 [0.75,0.517241] precision 0.6140345503553051 [0.698113,0.458333] precision 0.7214837049742711 [0.773585,0.625] precision 0.6946749226006192 [0.764706,0.56] precision 0.6973302822273074 [0.782609,0.533333] predictive_accuracy 0.7012987012987013 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6363636363636364 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.6973684210526316 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 [0.82,0.481481] recall 0.6233766233766234 [0.72,0.444444] recall 0.7142857142857143 [0.72,0.703704] recall 0.7662337662337663 [0.82,0.666667] recall 0.6363636363636364 [0.74,0.444444] recall 0.6623376623376623 [0.72,0.555556] recall 0.6233766233766234 [0.74,0.407407] recall 0.7272727272727273 [0.82,0.555556] recall 0.6973684210526315 [0.78,0.538462] recall 0.6842105263157895 [0.72,0.615385] relative_absolute_error 0.6564851540200902 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.7991993179375014 relative_absolute_error 0.742113652370537 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.599399488453126 relative_absolute_error 0.66890768998338 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 0.6136964857512031 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.6030226891555273 root_mean_squared_error 0.5810872031479765 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.5501196042201808 root_mean_squared_error 0.5619514869490163 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.2637346268978644 root_relative_squared_error 1.217765157217718 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.159440311898513 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 69.75979598064441 usercpu_time_millis 64.95326400909107 usercpu_time_millis 67.31735701032449 usercpu_time_millis 64.71515299926978 usercpu_time_millis 71.47481600986794 usercpu_time_millis 65.91977700009011 usercpu_time_millis 64.49471501400694 usercpu_time_millis 67.19370700011496 usercpu_time_millis 66.53946300502867 usercpu_time_millis 64.5669670047937 usercpu_time_millis_testing 3.292722991318442 usercpu_time_millis_testing 3.156455000862479 usercpu_time_millis_testing 3.339488001074642 usercpu_time_millis_testing 3.270594999776222 usercpu_time_millis_testing 3.322315009427257 usercpu_time_millis_testing 3.3135440025944263 usercpu_time_millis_testing 3.207044006558135 usercpu_time_millis_testing 3.3238640025956556 usercpu_time_millis_testing 3.1422009924426675 usercpu_time_millis_testing 3.169048999552615 usercpu_time_millis_training 66.46707298932597 usercpu_time_millis_training 61.79680900822859 usercpu_time_millis_training 63.977869009249844 usercpu_time_millis_training 61.444557999493554 usercpu_time_millis_training 68.15250100044068 usercpu_time_millis_training 62.60623299749568 usercpu_time_millis_training 61.28767100744881 usercpu_time_millis_training 63.8698429975193 usercpu_time_millis_training 63.397262012586 usercpu_time_millis_training 61.39791800524108 wall_clock_time_millis 69.7782039642334 wall_clock_time_millis 64.97406959533691 wall_clock_time_millis 67.33512878417969 wall_clock_time_millis 64.73565101623535 wall_clock_time_millis 71.49171829223633 wall_clock_time_millis 65.93608856201172 wall_clock_time_millis 64.51201438903809 wall_clock_time_millis 67.21091270446777 wall_clock_time_millis 66.5585994720459 wall_clock_time_millis 64.58306312561035 wall_clock_time_millis_testing 3.3032894134521484 wall_clock_time_millis_testing 3.1671524047851562 wall_clock_time_millis_testing 3.3516883850097656 wall_clock_time_millis_testing 3.2825469970703125 wall_clock_time_millis_testing 3.3321380615234375 wall_clock_time_millis_testing 3.3233165740966797 wall_clock_time_millis_testing 3.221273422241211 wall_clock_time_millis_testing 3.3369064331054688 wall_clock_time_millis_testing 3.1549930572509766 wall_clock_time_millis_testing 3.178119659423828 wall_clock_time_millis_training 66.47491455078125 wall_clock_time_millis_training 61.80691719055176 wall_clock_time_millis_training 63.98344039916992 wall_clock_time_millis_training 61.45310401916504 wall_clock_time_millis_training 68.15958023071289 wall_clock_time_millis_training 62.61277198791504 wall_clock_time_millis_training 61.290740966796875 wall_clock_time_millis_training 63.874006271362305 wall_clock_time_millis_training 63.40360641479492 wall_clock_time_millis_training 61.40494346618652