10372813 8323 Heinrich Peters 14 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8228156 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 100000.0 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00241115807647 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 50428 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. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21667331 description https://api.openml.org/data/download/21667331/description.xml -1 21667332 predictions https://api.openml.org/data/download/21667332/predictions.arff area_under_roc_curve 0.9119444444444446 [0.9975,0.883889,0.968056,0.941667,0.902222,0.951944,0.779444,0.938333,0.986389,0.77] average_cost 0 f_measure 0.8420873754815087 [0.997494,0.779412,0.951899,0.895,0.820896,0.926209,0.59901,0.885572,0.977444,0.58794] kappa 0.8238888888888889 kb_relative_information_score 0.8342474377461392 mean_absolute_error 0.03170000000000018 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8428496467651477 [1,0.764423,0.964103,0.895,0.816832,0.943005,0.593137,0.881188,0.979899,0.590909] predictive_accuracy 0.8415 prior_entropy 3.3219280948872383 recall 0.8415 [0.995,0.795,0.94,0.895,0.825,0.91,0.605,0.89,0.975,0.585] relative_absolute_error 0.1761111111111067 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17804493814764907 root_relative_squared_error 0.5934831271588211 total_cost 0 area_under_roc_curve 0.9166666666666665 [0.975,0.902778,0.997222,0.922222,0.936111,0.975,0.827778,0.872222,0.997222,0.761111] area_under_roc_curve 0.9 [1,0.830556,0.947222,0.891667,0.886111,0.944444,0.777778,0.944444,0.975,0.802778] area_under_roc_curve 0.9083333333333334 [1,0.933333,0.975,0.919444,0.936111,0.944444,0.747222,0.922222,1,0.705556] area_under_roc_curve 0.9444444444444445 [1,0.894444,0.975,0.986111,0.994444,0.925,0.886111,0.947222,0.975,0.861111] area_under_roc_curve 0.8833333333333333 [1,0.852778,0.925,0.941667,0.863889,0.891667,0.630556,0.938889,1,0.788889] area_under_roc_curve 0.9222222222222222 [1,0.886111,0.947222,0.869444,0.891667,0.997222,0.875,0.969444,1,0.786111] area_under_roc_curve 0.9166666666666664 [1,0.894444,0.95,0.966667,0.861111,0.944444,0.830556,0.963889,0.997222,0.758333] area_under_roc_curve 0.9111111111111111 [1,0.863889,0.997222,0.972222,0.861111,0.947222,0.802778,0.916667,0.972222,0.777778] area_under_roc_curve 0.9222222222222222 [1,0.869444,0.997222,0.997222,0.925,0.975,0.683333,0.988889,1,0.786111] area_under_roc_curve 0.8944444444444446 [1,0.911111,0.969444,0.95,0.866667,0.975,0.733333,0.919444,0.947222,0.672222] 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 0.8498550272010581 [0.974359,0.755556,0.97561,0.894737,0.837209,0.974359,0.666667,0.833333,0.97561,0.611111] f_measure 0.8215509693558474 [1,0.682927,0.923077,0.820513,0.780488,0.9,0.6,0.9,0.974359,0.634146] f_measure 0.8332867174620168 [1,0.818182,0.974359,0.871795,0.837209,0.9,0.536585,0.894737,1,0.5] f_measure 0.9004576700019575 [1,0.842105,0.974359,0.888889,0.952381,0.918919,0.780488,0.923077,0.974359,0.75] f_measure 0.7870382319838534 [1,0.697674,0.918919,0.878049,0.769231,0.820513,0.363636,0.857143,1,0.565217] f_measure 0.8597087143428607 [1,0.780488,0.923077,0.810811,0.820513,0.97561,0.711111,0.926829,1,0.648649] f_measure 0.8481087699165438 [1,0.842105,0.947368,0.904762,0.75,0.9,0.682927,0.883721,0.97561,0.594595] f_measure 0.8402063789868669 [1,0.769231,0.97561,0.95,0.75,0.923077,0.634146,0.85,0.95,0.6] f_measure 0.8588178850030553 [1,0.810811,0.97561,0.97561,0.918919,0.974359,0.470588,0.909091,1,0.553191] f_measure 0.8141739453454584 [1,0.809524,0.926829,0.947368,0.789474,0.974359,0.478261,0.871795,0.923077,0.421053] kappa 0.8333333333333333 kappa 0.7999999999999999 kappa 0.8166666666666667 kappa 0.888888888888889 kappa 0.7666666666666667 kappa 0.8444444444444444 kappa 0.8333333333333333 kappa 0.8222222222222222 kappa 0.8444444444444444 kappa 0.788888888888889 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.895424250943934 kb_relative_information_score 0.7803909269822613 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8013060767934745 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.020000000000000004 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.03800000000000002 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 0.8573178681222159 [1,0.68,0.952381,0.944444,0.782609,1,0.636364,0.9375,0.952381,0.6875] precision 0.8237092731829573 [1,0.666667,0.947368,0.842105,0.761905,0.9,0.6,0.9,1,0.619048] precision 0.8358099506011406 [1,0.75,1,0.894737,0.782609,0.9,0.52381,0.944444,1,0.5625] precision 0.9057252980937192 [1,0.888889,1,0.8,0.909091,1,0.761905,0.947368,1,0.75] precision 0.7920615997275036 [1,0.652174,1,0.857143,0.789474,0.842105,0.461538,0.818182,1,0.5] precision 0.8636756597375793 [1,0.761905,0.947368,0.882353,0.842105,0.952381,0.64,0.904762,1,0.705882] precision 0.849471865162402 [1,0.888889,1,0.863636,0.75,0.9,0.666667,0.826087,0.952381,0.647059] precision 0.8408270676691728 [1,0.789474,0.952381,0.95,0.75,0.947368,0.619048,0.85,0.95,0.6] precision 0.867335823218176 [1,0.882353,0.952381,0.952381,1,1,0.571429,0.833333,1,0.481481] precision 0.8220449141501773 [1,0.772727,0.904762,1,0.833333,1,0.423077,0.894737,0.947368,0.444444] predictive_accuracy 0.85 predictive_accuracy 0.82 predictive_accuracy 0.835 predictive_accuracy 0.9 predictive_accuracy 0.79 predictive_accuracy 0.86 predictive_accuracy 0.85 predictive_accuracy 0.84 predictive_accuracy 0.86 predictive_accuracy 0.81 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 0.85 [0.95,0.85,1,0.85,0.9,0.95,0.7,0.75,1,0.55] recall 0.82 [1,0.7,0.9,0.8,0.8,0.9,0.6,0.9,0.95,0.65] recall 0.835 [1,0.9,0.95,0.85,0.9,0.9,0.55,0.85,1,0.45] recall 0.9 [1,0.8,0.95,1,1,0.85,0.8,0.9,0.95,0.75] recall 0.79 [1,0.75,0.85,0.9,0.75,0.8,0.3,0.9,1,0.65] recall 0.86 [1,0.8,0.9,0.75,0.8,1,0.8,0.95,1,0.6] recall 0.85 [1,0.8,0.9,0.95,0.75,0.9,0.7,0.95,1,0.55] recall 0.84 [1,0.75,1,0.95,0.75,0.9,0.65,0.85,0.95,0.6] recall 0.86 [1,0.75,1,1,0.85,0.95,0.4,1,1,0.65] recall 0.81 [1,0.85,0.95,0.9,0.75,0.95,0.55,0.85,0.9,0.4] relative_absolute_error 0.16666666666666693 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.11111111111111127 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.21111111111111147 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 0.17320508075688776 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.14142135623730953 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.19493588689617933 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.47140452079103207 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.6497862896539316 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 440.0487130005786 usercpu_time_millis 427.8116389978095 usercpu_time_millis 428.8580670036026 usercpu_time_millis 435.0979279988678 usercpu_time_millis 430.17827400399256 usercpu_time_millis 432.04964899632614 usercpu_time_millis 430.2249659995141 usercpu_time_millis 434.2544760038436 usercpu_time_millis 430.69454400028917 usercpu_time_millis 425.7344159996137 usercpu_time_millis_testing 46.5184880013112 usercpu_time_millis_testing 46.46309899908374 usercpu_time_millis_testing 45.73172200252884 usercpu_time_millis_testing 46.11323499921127 usercpu_time_millis_testing 46.068162002484314 usercpu_time_millis_testing 45.48004399839556 usercpu_time_millis_testing 46.2122079989058 usercpu_time_millis_testing 46.10974700335646 usercpu_time_millis_testing 46.54613499951665 usercpu_time_millis_testing 45.58621199976187 usercpu_time_millis_training 393.5302249992674 usercpu_time_millis_training 381.34853999872576 usercpu_time_millis_training 383.1263450010738 usercpu_time_millis_training 388.98469299965654 usercpu_time_millis_training 384.11011200150824 usercpu_time_millis_training 386.5696049979306 usercpu_time_millis_training 384.0127580006083 usercpu_time_millis_training 388.14472900048713 usercpu_time_millis_training 384.1484090007725 usercpu_time_millis_training 380.14820399985183 wall_clock_time_millis 440.0646686553955 wall_clock_time_millis 427.83117294311523 wall_clock_time_millis 429.0964603424072 wall_clock_time_millis 435.11509895324707 wall_clock_time_millis 430.203914642334 wall_clock_time_millis 432.0704936981201 wall_clock_time_millis 430.24539947509766 wall_clock_time_millis 434.27324295043945 wall_clock_time_millis 430.9213161468506 wall_clock_time_millis 425.7769584655762 wall_clock_time_millis_testing 46.52595520019531 wall_clock_time_millis_testing 46.47207260131836 wall_clock_time_millis_testing 45.743465423583984 wall_clock_time_millis_testing 46.12374305725098 wall_clock_time_millis_testing 46.07582092285156 wall_clock_time_millis_testing 45.49002647399902 wall_clock_time_millis_testing 46.22340202331543 wall_clock_time_millis_testing 46.11921310424805 wall_clock_time_millis_testing 46.5548038482666 wall_clock_time_millis_testing 45.59636116027832 wall_clock_time_millis_training 393.5387134552002 wall_clock_time_millis_training 381.3591003417969 wall_clock_time_millis_training 383.35299491882324 wall_clock_time_millis_training 388.9913558959961 wall_clock_time_millis_training 384.1280937194824 wall_clock_time_millis_training 386.5804672241211 wall_clock_time_millis_training 384.0219974517822 wall_clock_time_millis_training 388.1540298461914 wall_clock_time_millis_training 384.366512298584 wall_clock_time_millis_training 380.18059730529785