10327406 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) 8183073 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 124.42161828703304 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.05946723885505236 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 32588 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 21576498 description https://api.openml.org/data/download/21576498/description.xml -1 21576499 predictions https://api.openml.org/data/download/21576499/predictions.arff area_under_roc_curve 0.9741666666666666 [0.9625,0.986111,0.9775,0.961111,0.9825,0.978056,0.977222,0.972222,0.980556,0.963889] average_cost 0 f_measure 0.9550476693582236 [0.961039,0.975,0.976982,0.948718,0.982188,0.943765,0.97449,0.969231,0.865217,0.953846] kappa 0.9483333333333334 kb_relative_information_score 0.9513722766889304 mean_absolute_error 0.009299999999999984 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9605989679180469 [1,0.975,1,0.973684,1,0.923445,0.994792,0.994737,0.765385,0.978947] predictive_accuracy 0.9534999999999999 prior_entropy 3.3219280948872383 recall 0.9535 [0.925,0.975,0.955,0.925,0.965,0.965,0.955,0.945,0.995,0.93] relative_absolute_error 0.05166666666666498 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.09643650760992946 root_relative_squared_error 0.3214550253664266 total_cost 0 area_under_roc_curve 0.9694444444444446 [0.9,0.994444,1,0.925,1,0.966667,0.975,0.975,0.961111,0.997222] area_under_roc_curve 0.9722222222222223 [0.975,0.95,0.975,1,0.95,0.966667,0.972222,0.975,0.986111,0.972222] area_under_roc_curve 0.9666666666666666 [0.925,0.975,0.975,0.922222,1,0.991667,1,0.925,0.977778,0.975] area_under_roc_curve 0.975 [0.975,0.975,1,0.972222,0.975,0.972222,0.975,0.975,0.980556,0.95] area_under_roc_curve 0.9638888888888889 [0.975,0.997222,0.95,0.944444,0.975,0.975,0.95,0.922222,0.977778,0.972222] area_under_roc_curve 0.9833333333333333 [1,0.997222,1,0.975,0.975,0.969444,0.975,1,0.991667,0.95] area_under_roc_curve 0.9861111111111112 [0.975,1,0.95,1,1,1,1,1,0.986111,0.95] area_under_roc_curve 0.9833333333333333 [0.975,1,0.95,0.95,1,0.994444,1,1,0.988889,0.975] area_under_roc_curve 0.9805555555555554 [0.975,0.972222,1,0.972222,1,0.972222,0.975,1,0.988889,0.95] area_under_roc_curve 0.9611111111111111 [0.95,1,0.975,0.95,0.95,0.972222,0.95,0.95,0.966667,0.947222] 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 0.9452914733402537 [0.888889,0.952381,1,0.918919,1,0.904762,0.974359,0.974359,0.863636,0.97561] f_measure 0.9511464558832979 [0.974359,0.947368,0.974359,1,0.947368,0.904762,0.95,0.974359,0.888889,0.95] f_measure 0.9419217494492892 [0.918919,0.974359,0.974359,0.894737,1,0.930233,1,0.918919,0.833333,0.974359] f_measure 0.9570227122634738 [0.974359,0.974359,1,0.95,0.974359,0.95,0.974359,0.974359,0.851064,0.947368] f_measure 0.9371493696718344 [0.974359,0.97561,0.947368,0.9,0.974359,0.974359,0.947368,0.894737,0.833333,0.95] f_measure 0.9703116926659334 [1,0.97561,1,0.974359,0.974359,0.926829,0.974359,1,0.930233,0.947368] f_measure 0.9757984705353125 [0.974359,1,0.947368,1,1,1,1,1,0.888889,0.947368] f_measure 0.9704926652295073 [0.974359,1,0.947368,0.947368,1,0.952381,1,1,0.909091,0.974359] f_measure 0.965517727886149 [0.974359,0.95,1,0.95,1,0.95,0.974359,1,0.909091,0.947368] f_measure 0.9353508771929825 [0.947368,1,0.974359,0.947368,0.947368,0.95,0.947368,0.947368,0.769231,0.923077] kappa 0.9388888888888889 kappa 0.9444444444444444 kappa 0.9333333333333332 kappa 0.95 kappa 0.9277777777777778 kappa 0.9666666666666667 kappa 0.9722222222222222 kappa 0.9666666666666667 kappa 0.961111111111111 kappa 0.9222222222222223 kb_relative_information_score 0.9424833380191637 kb_relative_information_score 0.9477121254719669 kb_relative_information_score 0.9372545505663603 kb_relative_information_score 0.9529409129247703 kb_relative_information_score 0.9320257631135571 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.9738560627359836 kb_relative_information_score 0.9686272752831802 kb_relative_information_score 0.963398487830377 kb_relative_information_score 0.9267969756607538 mean_absolute_error 0.011 mean_absolute_error 0.009999999999999998 mean_absolute_error 0.012 mean_absolute_error 0.009 mean_absolute_error 0.013000000000000001 mean_absolute_error 0.006 mean_absolute_error 0.005 mean_absolute_error 0.006 mean_absolute_error 0.006999999999999999 mean_absolute_error 0.014000000000000002 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 0.9516774891774893 [1,0.909091,1,1,1,0.863636,1,1,0.791667,0.952381] precision 0.9563636363636364 [1,1,1,1,1,0.863636,0.95,1,0.8,0.95] precision 0.9528295376121463 [1,1,1,0.944444,1,0.869565,1,1,0.714286,1] precision 0.9640740740740741 [1,1,1,0.95,1,0.95,1,1,0.740741,1] precision 0.946111111111111 [1,0.952381,1,0.9,1,1,1,0.944444,0.714286,0.95] precision 0.9726708074534162 [1,0.952381,1,1,1,0.904762,1,1,0.869565,1] precision 0.98 [1,1,1,1,1,1,1,1,0.8,1] precision 0.9742424242424242 [1,1,1,1,1,0.909091,1,1,0.833333,1] precision 0.9683333333333333 [1,0.95,1,0.95,1,0.95,1,1,0.833333,1] precision 0.9522368421052632 [1,1,1,1,1,0.95,1,1,0.625,0.947368] predictive_accuracy 0.945 predictive_accuracy 0.95 predictive_accuracy 0.94 predictive_accuracy 0.955 predictive_accuracy 0.935 predictive_accuracy 0.97 predictive_accuracy 0.975 predictive_accuracy 0.97 predictive_accuracy 0.965 predictive_accuracy 0.93 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 0.945 [0.8,1,1,0.85,1,0.95,0.95,0.95,0.95,1] recall 0.95 [0.95,0.9,0.95,1,0.9,0.95,0.95,0.95,1,0.95] recall 0.94 [0.85,0.95,0.95,0.85,1,1,1,0.85,1,0.95] recall 0.955 [0.95,0.95,1,0.95,0.95,0.95,0.95,0.95,1,0.9] recall 0.935 [0.95,1,0.9,0.9,0.95,0.95,0.9,0.85,1,0.95] recall 0.97 [1,1,1,0.95,0.95,0.95,0.95,1,1,0.9] recall 0.975 [0.95,1,0.9,1,1,1,1,1,1,0.9] recall 0.97 [0.95,1,0.9,0.9,1,1,1,1,1,0.95] recall 0.965 [0.95,0.95,1,0.95,1,0.95,0.95,1,1,0.9] recall 0.93 [0.9,1,0.95,0.9,0.9,0.95,0.9,0.9,1,0.9] relative_absolute_error 0.06111111111111117 relative_absolute_error 0.055555555555555615 relative_absolute_error 0.06666666666666674 relative_absolute_error 0.05000000000000005 relative_absolute_error 0.0722222222222223 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.027777777777777807 relative_absolute_error 0.03333333333333337 relative_absolute_error 0.03888888888888893 relative_absolute_error 0.07777777777777788 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 0.10488088481701516 root_mean_squared_error 0.09999999999999999 root_mean_squared_error 0.10954451150103323 root_mean_squared_error 0.09486832980505137 root_mean_squared_error 0.1140175425099138 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.07071067811865475 root_mean_squared_error 0.07745966692414834 root_mean_squared_error 0.08366600265340755 root_mean_squared_error 0.11832159566199232 root_relative_squared_error 0.34960294939005077 root_relative_squared_error 0.3333333333333335 root_relative_squared_error 0.36514837167011094 root_relative_squared_error 0.31622776601683816 root_relative_squared_error 0.3800584750330463 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.235702260395516 root_relative_squared_error 0.25819888974716126 root_relative_squared_error 0.27888667551135865 root_relative_squared_error 0.394405318873308 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 1047.0710299923667 usercpu_time_millis 1044.6073560015066 usercpu_time_millis 1045.612779998919 usercpu_time_millis 1045.4577519994928 usercpu_time_millis 1046.7089980011224 usercpu_time_millis 1048.0517059913836 usercpu_time_millis 1047.819346000324 usercpu_time_millis 1047.4360009975499 usercpu_time_millis 1055.057218996808 usercpu_time_millis 1048.8092439918546 usercpu_time_millis_testing 52.97490799421212 usercpu_time_millis_testing 52.71317200094927 usercpu_time_millis_testing 53.081584999745246 usercpu_time_millis_testing 52.7248279977357 usercpu_time_millis_testing 52.92191899934551 usercpu_time_millis_testing 52.81443499552552 usercpu_time_millis_testing 53.12125499767717 usercpu_time_millis_testing 55.26525199820753 usercpu_time_millis_testing 53.201261995127425 usercpu_time_millis_testing 53.36688999523176 usercpu_time_millis_training 994.0961219981546 usercpu_time_millis_training 991.8941840005573 usercpu_time_millis_training 992.5311949991737 usercpu_time_millis_training 992.732924001757 usercpu_time_millis_training 993.7870790017769 usercpu_time_millis_training 995.2372709958581 usercpu_time_millis_training 994.6980910026468 usercpu_time_millis_training 992.1707489993423 usercpu_time_millis_training 1001.8559570016805 usercpu_time_millis_training 995.4423539966228 wall_clock_time_millis 1047.1625328063965 wall_clock_time_millis 1212.7058506011963 wall_clock_time_millis 1077.7335166931152 wall_clock_time_millis 1069.6136951446533 wall_clock_time_millis 1078.8943767547607 wall_clock_time_millis 1114.54439163208 wall_clock_time_millis 1111.9558811187744 wall_clock_time_millis 1147.6705074310303 wall_clock_time_millis 1323.1501579284668 wall_clock_time_millis 1120.9280490875244 wall_clock_time_millis_testing 52.99019813537598 wall_clock_time_millis_testing 52.72865295410156 wall_clock_time_millis_testing 53.09581756591797 wall_clock_time_millis_testing 52.74009704589844 wall_clock_time_millis_testing 52.979230880737305 wall_clock_time_millis_testing 52.828311920166016 wall_clock_time_millis_testing 53.14946174621582 wall_clock_time_millis_testing 55.283308029174805 wall_clock_time_millis_testing 69.21529769897461 wall_clock_time_millis_testing 97.37920761108398 wall_clock_time_millis_training 994.1723346710205 wall_clock_time_millis_training 1159.9771976470947 wall_clock_time_millis_training 1024.6376991271973 wall_clock_time_millis_training 1016.8735980987549 wall_clock_time_millis_training 1025.9151458740234 wall_clock_time_millis_training 1061.716079711914 wall_clock_time_millis_training 1058.8064193725586 wall_clock_time_millis_training 1092.3871994018555 wall_clock_time_millis_training 1253.9348602294922 wall_clock_time_millis_training 1023.5488414764404