10327441 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) 8183108 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 17111.743992628886 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6238038855537555 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00044751064678453964 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 47119 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 21576568 description https://api.openml.org/data/download/21576568/description.xml -1 21576569 predictions https://api.openml.org/data/download/21576569/predictions.arff area_under_roc_curve 0.9780555555555555 [0.994722,0.972222,0.986944,0.977222,0.985833,0.965,0.986389,0.976944,0.966111,0.969167] average_cost 0 f_measure 0.9605815413073867 [0.992481,0.931707,0.982368,0.955224,0.972569,0.944444,0.977444,0.952854,0.954082,0.942643] kappa 0.9561111111111111 kb_relative_information_score 0.9586925791228548 mean_absolute_error 0.007899999999999989 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9609041481686295 [0.994975,0.909524,0.989848,0.950495,0.970149,0.954082,0.979899,0.945813,0.973958,0.940299] predictive_accuracy 0.9605 prior_entropy 3.3219280948872383 recall 0.9605 [0.99,0.955,0.975,0.96,0.975,0.935,0.975,0.96,0.935,0.945] relative_absolute_error 0.04388888888888747 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.08888194417315583 root_relative_squared_error 0.29627314724384823 total_cost 0 area_under_roc_curve 0.975 [0.972222,0.963889,1,0.994444,1,0.975,0.975,0.975,0.897222,0.997222] area_under_roc_curve 0.9805555555555557 [1,0.972222,1,0.95,0.975,0.969444,0.994444,0.972222,1,0.972222] area_under_roc_curve 0.9805555555555556 [1,0.95,0.997222,0.991667,1,0.947222,1,0.95,0.975,0.994444] area_under_roc_curve 0.9861111111111112 [1,0.997222,1,0.972222,0.975,0.972222,1,1,0.997222,0.947222] area_under_roc_curve 0.9583333333333335 [1,0.963889,0.95,0.947222,0.994444,0.944444,0.975,0.941667,0.919444,0.947222] area_under_roc_curve 0.9777777777777777 [1,0.944444,0.997222,1,0.95,0.975,0.997222,0.969444,1,0.944444] area_under_roc_curve 0.9722222222222221 [0.975,0.963889,0.975,0.944444,0.997222,0.922222,1,0.994444,0.975,0.975] area_under_roc_curve 0.9777777777777779 [1,0.997222,0.95,1,0.991667,0.972222,0.975,0.997222,0.925,0.969444] area_under_roc_curve 0.9833333333333332 [1,0.972222,1,0.972222,1,0.972222,1,0.994444,0.975,0.947222] 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 0.9549653426652859 [0.95,0.883721,1,0.952381,1,0.974359,0.974359,0.974359,0.864865,0.97561] f_measure 0.9650937616085241 [1,0.95,1,0.947368,0.974359,0.926829,0.952381,0.95,1,0.95] f_measure 0.9650396006159209 [1,0.947368,0.97561,0.930233,1,0.923077,1,0.947368,0.974359,0.952381] f_measure 0.9748655409631019 [1,0.97561,1,0.95,0.974359,0.95,1,1,0.97561,0.923077] f_measure 0.9253826776461639 [1,0.883721,0.947368,0.923077,0.952381,0.9,0.974359,0.878049,0.871795,0.923077] f_measure 0.959977617589941 [1,0.9,0.97561,1,0.947368,0.974359,0.97561,0.926829,1,0.9] f_measure 0.9503884378252231 [0.974359,0.883721,0.974359,0.9,0.97561,0.894737,1,0.952381,0.974359,0.974359] f_measure 0.9598927652957865 [1,0.97561,0.947368,1,0.930233,0.95,0.974359,0.97561,0.918919,0.926829] f_measure 0.9699816849816848 [1,0.95,1,0.95,1,0.95,1,0.952381,0.974359,0.923077] f_measure 0.9798624140087553 [1,0.97561,1,1,0.974359,1,0.923077,0.974359,0.97561,0.97561] kappa 0.95 kappa 0.961111111111111 kappa 0.961111111111111 kappa 0.9722222222222222 kappa 0.9166666666666667 kappa 0.9555555555555555 kappa 0.9444444444444444 kappa 0.9555555555555555 kappa 0.9666666666666667 kappa 0.9777777777777777 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9215681882079505 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9477121254719669 kb_relative_information_score 0.9581697003775735 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9790848501887868 mean_absolute_error 0.009 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.005 mean_absolute_error 0.015000000000000003 mean_absolute_error 0.008 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.008 mean_absolute_error 0.006 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 0.9578735288581836 [0.95,0.826087,1,0.909091,1,1,1,1,0.941176,0.952381] precision 0.9663852813852815 [1,0.95,1,1,1,0.904762,0.909091,0.95,1,0.95] precision 0.9678405499915798 [1,1,0.952381,0.869565,1,0.947368,1,1,1,0.909091] precision 0.9752130325814535 [1,0.952381,1,0.95,1,0.95,1,1,0.952381,0.947368] precision 0.9281794406966032 [1,0.826087,1,0.947368,0.909091,0.9,1,0.857143,0.894737,0.947368] precision 0.960952380952381 [1,0.9,0.952381,1,1,1,0.952381,0.904762,1,0.9] precision 0.9532003262438045 [1,0.826087,1,0.9,0.952381,0.944444,1,0.909091,1,1] precision 0.9629089026915113 [1,0.952381,1,1,0.869565,0.95,1,0.952381,1,0.904762] precision 0.9706459330143541 [1,0.95,1,0.95,1,0.95,1,0.909091,1,0.947368] precision 0.9804511278195488 [1,0.952381,1,1,1,1,0.947368,1,0.952381,0.952381] predictive_accuracy 0.955 predictive_accuracy 0.965 predictive_accuracy 0.965 predictive_accuracy 0.975 predictive_accuracy 0.925 predictive_accuracy 0.96 predictive_accuracy 0.95 predictive_accuracy 0.96 predictive_accuracy 0.97 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 0.955 [0.95,0.95,1,1,1,0.95,0.95,0.95,0.8,1] recall 0.965 [1,0.95,1,0.9,0.95,0.95,1,0.95,1,0.95] recall 0.965 [1,0.9,1,1,1,0.9,1,0.9,0.95,1] recall 0.975 [1,1,1,0.95,0.95,0.95,1,1,1,0.9] recall 0.925 [1,0.95,0.9,0.9,1,0.9,0.95,0.9,0.85,0.9] recall 0.96 [1,0.9,1,1,0.9,0.95,1,0.95,1,0.9] recall 0.95 [0.95,0.95,0.95,0.9,1,0.85,1,1,0.95,0.95] recall 0.96 [1,1,0.9,1,1,0.95,0.95,1,0.85,0.95] recall 0.97 [1,0.95,1,0.95,1,0.95,1,1,0.95,0.9] recall 0.98 [1,1,1,1,0.95,1,0.9,0.95,1,1] relative_absolute_error 0.05000000000000005 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.08333333333333344 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.055555555555555615 relative_absolute_error 0.0444444444444445 relative_absolute_error 0.03333333333333337 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 0.09486832980505137 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.12247448713915891 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.09999999999999999 root_mean_squared_error 0.08944271909999159 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.06324555320336758 root_relative_squared_error 0.31622776601683816 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.40824829046386335 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.3333333333333335 root_relative_squared_error 0.29814239699997214 root_relative_squared_error 0.25819888974716126 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 189.91852800536435 usercpu_time_millis 185.932395994314 usercpu_time_millis 186.90492399036884 usercpu_time_millis 190.01733599725412 usercpu_time_millis 191.6343000048073 usercpu_time_millis 189.14463301189244 usercpu_time_millis 190.90468600188615 usercpu_time_millis 183.9620519967866 usercpu_time_millis 187.83876700035762 usercpu_time_millis 188.02964998758398 usercpu_time_millis_testing 17.759771006240044 usercpu_time_millis_testing 18.247948995849583 usercpu_time_millis_testing 18.01523699396057 usercpu_time_millis_testing 18.150153999158647 usercpu_time_millis_testing 18.19824500125833 usercpu_time_millis_testing 18.274655005370732 usercpu_time_millis_testing 17.864358000224456 usercpu_time_millis_testing 17.579979001311585 usercpu_time_millis_testing 19.948287001170684 usercpu_time_millis_testing 17.760856993845664 usercpu_time_millis_training 172.1587569991243 usercpu_time_millis_training 167.6844469984644 usercpu_time_millis_training 168.88968699640827 usercpu_time_millis_training 171.86718199809548 usercpu_time_millis_training 173.43605500354897 usercpu_time_millis_training 170.8699780065217 usercpu_time_millis_training 173.0403280016617 usercpu_time_millis_training 166.38207299547503 usercpu_time_millis_training 167.89047999918694 usercpu_time_millis_training 170.26879299373832 wall_clock_time_millis 309.9398612976074 wall_clock_time_millis 187.35289573669434 wall_clock_time_millis 230.942964553833 wall_clock_time_millis 190.04583358764648 wall_clock_time_millis 191.73622131347656 wall_clock_time_millis 189.20421600341797 wall_clock_time_millis 190.9787654876709 wall_clock_time_millis 184.0202808380127 wall_clock_time_millis 187.87145614624023 wall_clock_time_millis 260.06364822387695 wall_clock_time_millis_testing 17.772674560546875 wall_clock_time_millis_testing 18.2950496673584 wall_clock_time_millis_testing 18.027544021606445 wall_clock_time_millis_testing 18.161535263061523 wall_clock_time_millis_testing 18.210887908935547 wall_clock_time_millis_testing 18.287181854248047 wall_clock_time_millis_testing 17.877817153930664 wall_clock_time_millis_testing 17.5933837890625 wall_clock_time_millis_testing 19.962549209594727 wall_clock_time_millis_testing 17.774581909179688 wall_clock_time_millis_training 292.16718673706055 wall_clock_time_millis_training 169.05784606933594 wall_clock_time_millis_training 212.91542053222656 wall_clock_time_millis_training 171.88429832458496 wall_clock_time_millis_training 173.52533340454102 wall_clock_time_millis_training 170.91703414916992 wall_clock_time_millis_training 173.10094833374023 wall_clock_time_millis_training 166.4268970489502 wall_clock_time_millis_training 167.9089069366455 wall_clock_time_millis_training 242.28906631469727