10328861 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) 8184485 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 20782.267317842347 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.3671201161021156 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.10680238302677152 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 57465 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 21579410 description https://api.openml.org/data/download/21579410/description.xml -1 21579411 predictions https://api.openml.org/data/download/21579411/predictions.arff area_under_roc_curve 0.6565820895522388 [0.656582,0.656582] average_cost 0 f_measure 0.6850155758129185 [0.754297,0.555759] kappa 0.31021023684910853 kb_relative_information_score 0.2752867957541129 mean_absolute_error 0.31640625 mean_prior_absolute_error 0.4544913419913401 number_of_instances 768 [500,268] precision 0.6867158352940314 [0.762781,0.544803] predictive_accuracy 0.68359375 prior_entropy 0.9331348051619819 recall 0.68359375 [0.746,0.567164] 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 0.6677777777777778 [0.667778,0.667778] area_under_roc_curve 0.5807407407407408 [0.580741,0.580741] area_under_roc_curve 0.7203703703703704 [0.72037,0.72037] area_under_roc_curve 0.6948148148148148 [0.694815,0.694815] area_under_roc_curve 0.5737037037037037 [0.573704,0.573704] area_under_roc_curve 0.6733333333333333 [0.673333,0.673333] area_under_roc_curve 0.6022222222222221 [0.602222,0.602222] area_under_roc_curve 0.7533333333333333 [0.753333,0.753333] area_under_roc_curve 0.6776923076923078 [0.677692,0.677692] area_under_roc_curve 0.6207692307692307 [0.620769,0.620769] 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 0.6999594838190019 [0.772277,0.566038] f_measure 0.613371322554996 [0.693878,0.464286] f_measure 0.7202965337607694 [0.76087,0.645161] f_measure 0.7164723032069972 [0.77551,0.607143] f_measure 0.617784271696322 [0.718447,0.431373] f_measure 0.6817346235643433 [0.731183,0.590164] f_measure 0.6441439770965756 [0.737864,0.470588] f_measure 0.7782309228227403 [0.831683,0.679245] f_measure 0.7009421397918414 [0.762887,0.581818] f_measure 0.6657733098349202 [0.757282,0.489796] kappa 0.3384385506163617 kappa 0.15877640203932997 kappa 0.41262135922330095 kappa 0.383102694828842 kappa 0.1512732801216267 kappa 0.32715833624606777 kappa 0.20980615735461797 kappa 0.5110197982816587 kappa 0.34580838323353286 kappa 0.24841772151898736 kb_relative_information_score 0.316949704592687 kb_relative_information_score 0.10906483207741706 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.34664754352343985 kb_relative_information_score 0.13876267100816994 kb_relative_information_score 0.25755402673118133 kb_relative_information_score 0.19815834886967554 kb_relative_information_score 0.49513673817720333 kb_relative_information_score 0.30223933382579077 kb_relative_information_score 0.24156449328890278 mean_absolute_error 0.2987012987012987 mean_absolute_error 0.38961038961038963 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.37662337662337664 mean_absolute_error 0.3246753246753247 mean_absolute_error 0.35064935064935066 mean_absolute_error 0.22077922077922077 mean_absolute_error 0.3026315789473684 mean_absolute_error 0.32894736842105265 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 0.6988599635658459 [0.764706,0.576923] precision 0.6171443499029707 [0.708333,0.448276] precision 0.7414965986394558 [0.833333,0.571429] precision 0.7196223316912971 [0.791667,0.586207] precision 0.6140345503553051 [0.698113,0.458333] precision 0.6990779398440138 [0.790698,0.529412] precision 0.6408968390100466 [0.716981,0.5] precision 0.7775166010460127 [0.823529,0.692308] precision 0.7066648646561378 [0.787234,0.551724] precision 0.6626009239670134 [0.735849,0.521739] predictive_accuracy 0.7012987012987013 predictive_accuracy 0.6103896103896104 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7792207792207791 predictive_accuracy 0.6973684210526316 predictive_accuracy 0.6710526315789473 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 [0.78,0.555556] recall 0.6103896103896104 [0.68,0.481481] recall 0.7142857142857143 [0.7,0.740741] recall 0.7142857142857143 [0.76,0.62963] recall 0.6233766233766234 [0.74,0.407407] recall 0.6753246753246753 [0.68,0.666667] recall 0.6493506493506493 [0.76,0.444444] recall 0.7792207792207793 [0.84,0.666667] recall 0.6973684210526315 [0.74,0.615385] recall 0.6710526315789473 [0.78,0.461538] relative_absolute_error 0.6564851540200902 relative_absolute_error 0.8562849835044658 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.6279423212366081 relative_absolute_error 0.8277421507209834 relative_absolute_error 0.7135708195870546 relative_absolute_error 0.7706564851540191 relative_absolute_error 0.4852281573191972 relative_absolute_error 0.66890768998338 relative_absolute_error 0.7270735760688914 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 0.5345224838248488 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.6136964857512031 root_mean_squared_error 0.5698028822981898 root_mean_squared_error 0.592156525463792 root_mean_squared_error 0.4698714938993648 root_mean_squared_error 0.5501196042201808 root_mean_squared_error 0.5735393346764044 root_relative_squared_error 1.1453567717103283 root_relative_squared_error 1.3080896132558644 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.1201810210671799 root_relative_squared_error 1.28610334801068 root_relative_squared_error 1.1941169806974095 root_relative_squared_error 1.2409627684491944 root_relative_squared_error 0.9846940881518128 root_relative_squared_error 1.159440311898513 root_relative_squared_error 1.2088000863483521 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 296.80000300868414 usercpu_time_millis 315.116115991259 usercpu_time_millis 281.1662660096772 usercpu_time_millis 258.995882992167 usercpu_time_millis 335.6485519907437 usercpu_time_millis 303.64774201007094 usercpu_time_millis 302.15988800046034 usercpu_time_millis 322.5964430021122 usercpu_time_millis 286.5408500219928 usercpu_time_millis 254.43938601529226 usercpu_time_millis_testing 2.21732999489177 usercpu_time_millis_testing 2.203051990363747 usercpu_time_millis_testing 2.2007500083418563 usercpu_time_millis_testing 2.2673689963994548 usercpu_time_millis_testing 2.3826690012356266 usercpu_time_millis_testing 2.2086130047682673 usercpu_time_millis_testing 2.2569029970327392 usercpu_time_millis_testing 2.25405499804765 usercpu_time_millis_testing 2.2155010083224624 usercpu_time_millis_testing 2.1845480077899992 usercpu_time_millis_training 294.5826730137924 usercpu_time_millis_training 312.91306400089525 usercpu_time_millis_training 278.96551600133535 usercpu_time_millis_training 256.72851399576757 usercpu_time_millis_training 333.2658829895081 usercpu_time_millis_training 301.4391290053027 usercpu_time_millis_training 299.9029850034276 usercpu_time_millis_training 320.34238800406456 usercpu_time_millis_training 284.32534901367035 usercpu_time_millis_training 252.25483800750226 wall_clock_time_millis 428.8299083709717 wall_clock_time_millis 315.2632713317871 wall_clock_time_millis 281.4304828643799 wall_clock_time_millis 259.0923309326172 wall_clock_time_millis 335.831880569458 wall_clock_time_millis 303.9524555206299 wall_clock_time_millis 302.2639751434326 wall_clock_time_millis 322.8106498718262 wall_clock_time_millis 286.82661056518555 wall_clock_time_millis 254.5454502105713 wall_clock_time_millis_testing 2.2268295288085938 wall_clock_time_millis_testing 2.2132396697998047 wall_clock_time_millis_testing 2.2101402282714844 wall_clock_time_millis_testing 2.277374267578125 wall_clock_time_millis_testing 2.3925304412841797 wall_clock_time_millis_testing 2.214193344116211 wall_clock_time_millis_testing 2.2661685943603516 wall_clock_time_millis_testing 2.2640228271484375 wall_clock_time_millis_testing 2.2246837615966797 wall_clock_time_millis_testing 2.1953582763671875 wall_clock_time_millis_training 426.6030788421631 wall_clock_time_millis_training 313.0500316619873 wall_clock_time_millis_training 279.2203426361084 wall_clock_time_millis_training 256.81495666503906 wall_clock_time_millis_training 333.4393501281738 wall_clock_time_millis_training 301.7382621765137 wall_clock_time_millis_training 299.99780654907227 wall_clock_time_millis_training 320.54662704467773 wall_clock_time_millis_training 284.60192680358887 wall_clock_time_millis_training 252.3500919342041