10327439 8323 Heinrich Peters 16 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183106 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 1.799125831143992 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7926565732345652 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.01858955180141993 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 23649 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. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 21576564 description https://api.openml.org/data/download/21576564/description.xml -1 21576565 predictions https://api.openml.org/data/download/21576565/predictions.arff area_under_roc_curve 0.9883333333333332 [0.996667,0.989167,0.99,0.983333,0.992222,0.976944,0.991667,0.990556,0.989722,0.983056] average_cost 0 f_measure 0.9790467965073355 [0.99005,0.963325,0.989899,0.97,0.98995,0.97201,0.985,0.975248,0.987406,0.967581] kappa 0.9766666666666667 kb_relative_information_score 0.9780390926982265 mean_absolute_error 0.0042000000000000015 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9793103309288935 [0.985149,0.942584,1,0.97,0.994949,0.989637,0.985,0.965686,0.994924,0.965174] predictive_accuracy 0.9790000000000001 prior_entropy 3.3219280948872383 recall 0.979 [0.995,0.985,0.98,0.97,0.985,0.955,0.985,0.985,0.98,0.97] relative_absolute_error 0.023333333333332623 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.06480740698407861 root_relative_squared_error 0.21602468994692536 total_cost 0 area_under_roc_curve 0.9944444444444445 [1,0.994444,1,1,1,0.975,1,1,0.975,1] area_under_roc_curve 0.9861111111111112 [1,0.975,1,0.972222,1,0.972222,0.997222,0.972222,1,0.972222] area_under_roc_curve 0.9916666666666667 [1,0.972222,1,0.975,1,1,1,0.975,1,0.994444] area_under_roc_curve 0.9888888888888888 [0.997222,0.994444,1,0.975,0.975,0.975,1,1,1,0.972222] area_under_roc_curve 0.9805555555555556 [0.994444,0.997222,0.95,0.944444,1,0.975,1,0.994444,0.975,0.975] area_under_roc_curve 0.9888888888888888 [1,0.972222,1,1,0.975,0.975,0.997222,0.997222,1,0.972222] area_under_roc_curve 0.9861111111111112 [0.975,0.997222,0.975,0.994444,1,0.947222,1,0.997222,0.975,1] area_under_roc_curve 0.9888888888888888 [1,0.997222,0.975,1,0.997222,0.975,0.975,0.997222,0.975,0.997222] area_under_roc_curve 0.9888888888888888 [1,0.994444,1,0.972222,1,0.975,1,0.997222,1,0.95] area_under_roc_curve 0.9888888888888888 [1,0.997222,1,1,0.975,1,0.947222,0.975,0.997222,0.997222] 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 0.99010989010989 [1,0.952381,1,1,1,0.974359,1,1,0.974359,1] f_measure 0.9749968730456535 [1,0.974359,1,0.95,1,0.95,0.97561,0.95,1,0.95] f_measure 0.98510989010989 [1,0.95,1,0.974359,1,1,1,0.974359,1,0.952381] f_measure 0.9801067631555437 [0.97561,0.952381,1,0.974359,0.974359,0.974359,1,1,1,0.95] f_measure 0.965081700498902 [0.952381,0.97561,0.947368,0.9,1,0.974359,1,0.952381,0.974359,0.974359] f_measure 0.979993746091307 [1,0.95,1,1,0.974359,0.974359,0.97561,0.97561,1,0.95] f_measure 0.9749754310729919 [0.974359,0.97561,0.974359,0.952381,1,0.923077,1,0.97561,0.974359,1] f_measure 0.9799874921826139 [1,0.97561,0.974359,1,0.97561,0.974359,0.974359,0.97561,0.974359,0.97561] f_measure 0.9799718103890119 [1,0.952381,1,0.95,1,0.974359,1,0.97561,1,0.947368] f_measure 0.9798624140087553 [1,0.97561,1,1,0.974359,1,0.923077,0.974359,0.97561,0.97561] kappa 0.9888888888888889 kappa 0.9722222222222222 kappa 0.9833333333333333 kappa 0.9777777777777777 kappa 0.961111111111111 kappa 0.9777777777777777 kappa 0.9722222222222222 kappa 0.9777777777777777 kappa 0.9777777777777777 kappa 0.9777777777777777 kb_relative_information_score 0.9895424250943934 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9843136376415902 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9790848501887868 kb_relative_information_score 0.9790848501887868 mean_absolute_error 0.002 mean_absolute_error 0.005 mean_absolute_error 0.0030000000000000005 mean_absolute_error 0.004 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.004 mean_absolute_error 0.005 mean_absolute_error 0.004 mean_absolute_error 0.004 mean_absolute_error 0.004 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.990909090909091 [1,0.909091,1,1,1,1,1,1,1,1] precision 0.9752380952380952 [1,1,1,0.95,1,0.95,0.952381,0.95,1,0.95] precision 0.985909090909091 [1,0.95,1,1,1,1,1,1,1,0.909091] precision 0.9811471861471861 [0.952381,0.909091,1,1,1,1,1,1,1,0.95] precision 0.9670562770562771 [0.909091,0.952381,1,0.9,1,1,1,0.909091,1,1] precision 0.9804761904761904 [1,0.95,1,1,1,1,0.952381,0.952381,1,0.95] precision 0.9761221234905445 [1,0.952381,1,0.909091,1,0.947368,1,0.952381,1,1] precision 0.9809523809523809 [1,0.952381,1,1,0.952381,1,1,0.952381,1,0.952381] precision 0.9811471861471861 [1,0.909091,1,0.95,1,1,1,0.952381,1,1] precision 0.9804511278195488 [1,0.952381,1,1,1,1,0.947368,1,0.952381,0.952381] predictive_accuracy 0.99 predictive_accuracy 0.975 predictive_accuracy 0.985 predictive_accuracy 0.98 predictive_accuracy 0.965 predictive_accuracy 0.98 predictive_accuracy 0.975 predictive_accuracy 0.98 predictive_accuracy 0.98 predictive_accuracy 0.98 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.99 [1,1,1,1,1,0.95,1,1,0.95,1] recall 0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95] recall 0.985 [1,0.95,1,0.95,1,1,1,0.95,1,1] recall 0.98 [1,1,1,0.95,0.95,0.95,1,1,1,0.95] recall 0.965 [1,1,0.9,0.9,1,0.95,1,1,0.95,0.95] recall 0.98 [1,0.95,1,1,0.95,0.95,1,1,1,0.95] recall 0.975 [0.95,1,0.95,1,1,0.9,1,1,0.95,1] recall 0.98 [1,1,0.95,1,1,0.95,0.95,1,0.95,1] recall 0.98 [1,1,1,0.95,1,0.95,1,1,1,0.9] recall 0.98 [1,1,1,1,0.95,1,0.9,0.95,1,1] relative_absolute_error 0.011111111111111125 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.016666666666666687 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.02222222222222225 relative_absolute_error 0.02222222222222225 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.044721359549995794 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.05477225575051661 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.06324555320336758 root_mean_squared_error 0.06324555320336758 root_relative_squared_error 0.14907119849998607 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.18257418583505547 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.21081851067789206 root_relative_squared_error 0.21081851067789206 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 326.199381997867 usercpu_time_millis 312.5392229994759 usercpu_time_millis 308.9169459999539 usercpu_time_millis 312.7758610062301 usercpu_time_millis 317.0982020019437 usercpu_time_millis 318.6017229963909 usercpu_time_millis 309.775781002827 usercpu_time_millis 315.13475199608365 usercpu_time_millis 313.40617399837356 usercpu_time_millis 316.9979780068388 usercpu_time_millis_testing 26.5191459984635 usercpu_time_millis_testing 26.16235800087452 usercpu_time_millis_testing 26.287011001841165 usercpu_time_millis_testing 26.54004000214627 usercpu_time_millis_testing 26.549031004833523 usercpu_time_millis_testing 26.922068995190784 usercpu_time_millis_testing 26.252488998579793 usercpu_time_millis_testing 27.17958299763268 usercpu_time_millis_testing 26.518161997955758 usercpu_time_millis_testing 26.255868004227523 usercpu_time_millis_training 299.6802359994035 usercpu_time_millis_training 286.3768649986014 usercpu_time_millis_training 282.62993499811273 usercpu_time_millis_training 286.23582100408385 usercpu_time_millis_training 290.5491709971102 usercpu_time_millis_training 291.6796540012001 usercpu_time_millis_training 283.5232920042472 usercpu_time_millis_training 287.955168998451 usercpu_time_millis_training 286.8880120004178 usercpu_time_millis_training 290.7421100026113 wall_clock_time_millis 422.24764823913574 wall_clock_time_millis 312.5770092010498 wall_clock_time_millis 308.95400047302246 wall_clock_time_millis 352.91552543640137 wall_clock_time_millis 317.17872619628906 wall_clock_time_millis 538.6538505554199 wall_clock_time_millis 309.82494354248047 wall_clock_time_millis 363.1739616394043 wall_clock_time_millis 361.4475727081299 wall_clock_time_millis 365.0383949279785 wall_clock_time_millis_testing 58.53891372680664 wall_clock_time_millis_testing 26.17502212524414 wall_clock_time_millis_testing 26.30019187927246 wall_clock_time_millis_testing 26.622772216796875 wall_clock_time_millis_testing 26.56388282775879 wall_clock_time_millis_testing 26.934146881103516 wall_clock_time_millis_testing 26.265621185302734 wall_clock_time_millis_testing 27.194499969482422 wall_clock_time_millis_testing 26.532649993896484 wall_clock_time_millis_testing 26.270627975463867 wall_clock_time_millis_training 363.7087345123291 wall_clock_time_millis_training 286.40198707580566 wall_clock_time_millis_training 282.65380859375 wall_clock_time_millis_training 326.2927532196045 wall_clock_time_millis_training 290.6148433685303 wall_clock_time_millis_training 511.7197036743164 wall_clock_time_millis_training 283.55932235717773 wall_clock_time_millis_training 335.9794616699219 wall_clock_time_millis_training 334.9149227142334 wall_clock_time_millis_training 338.76776695251465