10373016 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) 8228357 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 1.0043634737642537 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6405586442727347 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0011289263826813015 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 35622 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 21667737 description https://api.openml.org/data/download/21667737/description.xml -1 21667738 predictions https://api.openml.org/data/download/21667738/predictions.arff area_under_roc_curve 0.8897222222222223 [0.99,0.853333,0.961944,0.9075,0.851111,0.949167,0.671111,0.949722,0.985,0.778333] average_cost 0 f_measure 0.7986668870522724 [0.989899,0.712919,0.937028,0.861619,0.765957,0.903226,0.449102,0.843537,0.965347,0.558036] kappa 0.7794444444444444 kb_relative_information_score 0.7924171381237141 mean_absolute_error 0.0397000000000003 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8035421897570528 [1,0.683486,0.944162,0.901639,0.818182,0.896552,0.559701,0.771784,0.955882,0.504032] predictive_accuracy 0.8015000000000001 prior_entropy 3.3219280948872383 recall 0.8015 [0.98,0.745,0.93,0.825,0.72,0.91,0.375,0.93,0.975,0.625] relative_absolute_error 0.22055555555555043 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1992485884517135 root_relative_squared_error 0.6641619615057014 total_cost 0 area_under_roc_curve 0.8694444444444442 [0.975,0.913889,0.969444,0.872222,0.872222,0.972222,0.544444,0.888889,0.997222,0.688889] area_under_roc_curve 0.8888888888888888 [1,0.863889,0.969444,0.922222,0.791667,0.936111,0.688889,0.930556,0.969444,0.816667] area_under_roc_curve 0.9055555555555556 [1,0.875,0.95,0.891667,0.916667,0.947222,0.688889,0.941667,1,0.844444] area_under_roc_curve 0.8916666666666667 [0.975,0.813889,0.975,0.966667,0.883333,0.941667,0.713889,0.886111,0.969444,0.791667] area_under_roc_curve 0.8944444444444444 [1,0.788889,0.975,0.916667,0.863889,0.941667,0.708333,0.980556,1,0.769444] area_under_roc_curve 0.8972222222222221 [1,0.886111,0.994444,0.872222,0.886111,0.947222,0.655556,0.991667,1,0.738889] area_under_roc_curve 0.9 [0.975,0.858333,0.925,0.941667,0.819444,0.938889,0.786111,0.980556,0.997222,0.777778] area_under_roc_curve 0.8944444444444443 [0.975,0.852778,0.947222,0.919444,0.822222,0.947222,0.730556,0.933333,0.969444,0.847222] area_under_roc_curve 0.8944444444444443 [1,0.808333,0.997222,0.922222,0.811111,0.944444,0.619444,0.983333,1,0.858333] area_under_roc_curve 0.8611111111111112 [1,0.872222,0.916667,0.85,0.844444,0.975,0.575,0.980556,0.947222,0.65] 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 0.7604389035163784 [0.974359,0.705882,0.926829,0.833333,0.833333,0.95,0.176471,0.8,0.97561,0.428571] f_measure 0.7949245388135178 [1,0.769231,0.926829,0.894737,0.685714,0.837209,0.5,0.8,0.926829,0.608696] f_measure 0.828229196928477 [1,0.711111,0.947368,0.820513,0.85,0.923077,0.5,0.878049,1,0.652174] f_measure 0.8026685494978179 [0.974359,0.702703,0.974359,0.904762,0.761905,0.878049,0.545455,0.780488,0.926829,0.577778] f_measure 0.8061794269700884 [1,0.666667,0.974359,0.85,0.769231,0.878049,0.514286,0.851064,1,0.55814] f_measure 0.8111764082569195 [1,0.780488,0.952381,0.833333,0.780488,0.923077,0.411765,0.930233,1,0.5] f_measure 0.8178356225372312 [0.974359,0.731707,0.918919,0.878049,0.742857,0.857143,0.648649,0.851064,0.97561,0.6] f_measure 0.8106906286946994 [0.974359,0.697674,0.923077,0.871795,0.764706,0.923077,0.540541,0.818182,0.926829,0.666667] f_measure 0.7988610359339112 [1,0.666667,0.97561,0.894737,0.684211,0.9,0.37037,0.869565,1,0.627451] f_measure 0.7485709420059423 [1,0.695652,0.85,0.823529,0.777778,0.974359,0.242424,0.851064,0.923077,0.347826] kappa 0.7388888888888889 kappa 0.7777777777777778 kappa 0.8111111111111111 kappa 0.7833333333333334 kappa 0.788888888888889 kappa 0.7944444444444444 kappa 0.7999999999999999 kappa 0.788888888888889 kappa 0.788888888888889 kappa 0.7222222222222222 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.7385606273598343 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.04999999999999998 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 0.7686164641809803 [1,0.580645,0.904762,0.9375,0.9375,0.95,0.214286,0.8,0.952381,0.409091] precision 0.805117883895916 [1,0.789474,0.904762,0.944444,0.8,0.782609,0.666667,0.72,0.904762,0.538462] precision 0.8380206284943127 [1,0.64,1,0.842105,0.85,0.947368,0.666667,0.857143,1,0.576923] precision 0.8091732189379249 [1,0.764706,1,0.863636,0.727273,0.857143,0.692308,0.761905,0.904762,0.52] precision 0.8109096412528907 [1,0.75,1,0.85,0.789474,0.857143,0.6,0.740741,1,0.521739] precision 0.8145667404677702 [1,0.761905,0.909091,0.9375,0.761905,0.947368,0.5,0.869565,1,0.458333] precision 0.8255281102339925 [1,0.714286,1,0.857143,0.866667,0.818182,0.705882,0.740741,0.952381,0.6] precision 0.8213216224704984 [1,0.652174,0.947368,0.894737,0.928571,0.947368,0.588235,0.75,0.904762,0.6] precision 0.8202903661137956 [1,0.684211,0.952381,0.944444,0.722222,0.9,0.714286,0.769231,1,0.516129] precision 0.7643878392562603 [1,0.615385,0.85,1,0.875,1,0.307692,0.740741,0.947368,0.307692] predictive_accuracy 0.765 predictive_accuracy 0.8 predictive_accuracy 0.83 predictive_accuracy 0.805 predictive_accuracy 0.81 predictive_accuracy 0.815 predictive_accuracy 0.82 predictive_accuracy 0.81 predictive_accuracy 0.81 predictive_accuracy 0.75 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 0.765 [0.95,0.9,0.95,0.75,0.75,0.95,0.15,0.8,1,0.45] recall 0.8 [1,0.75,0.95,0.85,0.6,0.9,0.4,0.9,0.95,0.7] recall 0.83 [1,0.8,0.9,0.8,0.85,0.9,0.4,0.9,1,0.75] recall 0.805 [0.95,0.65,0.95,0.95,0.8,0.9,0.45,0.8,0.95,0.65] recall 0.81 [1,0.6,0.95,0.85,0.75,0.9,0.45,1,1,0.6] recall 0.815 [1,0.8,1,0.75,0.8,0.9,0.35,1,1,0.55] recall 0.82 [0.95,0.75,0.85,0.9,0.65,0.9,0.6,1,1,0.6] recall 0.81 [0.95,0.75,0.9,0.85,0.65,0.9,0.5,0.9,0.95,0.75] recall 0.81 [1,0.65,1,0.85,0.65,0.9,0.25,1,1,0.8] recall 0.75 [1,0.8,0.85,0.7,0.7,0.95,0.2,1,0.9,0.4] relative_absolute_error 0.26111111111111135 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.277777777777778 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 0.21679483388678797 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.22360679774997894 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.7453559924999302 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 572.8275180008495 usercpu_time_millis 585.0174929983041 usercpu_time_millis 574.7634359977383 usercpu_time_millis 579.2927200018312 usercpu_time_millis 587.2165290020348 usercpu_time_millis 593.319645999145 usercpu_time_millis 594.0178669989109 usercpu_time_millis 576.2926529969263 usercpu_time_millis 571.560166998097 usercpu_time_millis 540.8130950017949 usercpu_time_millis_testing 59.89116499767988 usercpu_time_millis_testing 67.08792499921401 usercpu_time_millis_testing 61.55687699720147 usercpu_time_millis_testing 61.92566499885288 usercpu_time_millis_testing 63.948449002054986 usercpu_time_millis_testing 64.22134799868218 usercpu_time_millis_testing 68.87357300001895 usercpu_time_millis_testing 61.64090299716918 usercpu_time_millis_testing 60.3301150003972 usercpu_time_millis_testing 41.8149840006663 usercpu_time_millis_training 512.9363530031696 usercpu_time_millis_training 517.9295679990901 usercpu_time_millis_training 513.2065590005368 usercpu_time_millis_training 517.3670550029783 usercpu_time_millis_training 523.2680799999798 usercpu_time_millis_training 529.0982980004628 usercpu_time_millis_training 525.144293998892 usercpu_time_millis_training 514.6517499997572 usercpu_time_millis_training 511.2300519976998 usercpu_time_millis_training 498.99811100112856 wall_clock_time_millis 572.861909866333 wall_clock_time_millis 585.0489139556885 wall_clock_time_millis 574.8062133789062 wall_clock_time_millis 579.505443572998 wall_clock_time_millis 587.2573852539062 wall_clock_time_millis 593.3687686920166 wall_clock_time_millis 594.0525531768799 wall_clock_time_millis 578.0124664306641 wall_clock_time_millis 571.7053413391113 wall_clock_time_millis 540.8570766448975 wall_clock_time_millis_testing 59.90242958068848 wall_clock_time_millis_testing 67.10124015808105 wall_clock_time_millis_testing 61.566829681396484 wall_clock_time_millis_testing 61.936140060424805 wall_clock_time_millis_testing 63.977956771850586 wall_clock_time_millis_testing 64.23282623291016 wall_clock_time_millis_testing 68.88294219970703 wall_clock_time_millis_testing 61.65289878845215 wall_clock_time_millis_testing 60.343027114868164 wall_clock_time_millis_testing 41.82124137878418 wall_clock_time_millis_training 512.9594802856445 wall_clock_time_millis_training 517.9476737976074 wall_clock_time_millis_training 513.2393836975098 wall_clock_time_millis_training 517.5693035125732 wall_clock_time_millis_training 523.2794284820557 wall_clock_time_millis_training 529.1359424591064 wall_clock_time_millis_training 525.1696109771729 wall_clock_time_millis_training 516.3595676422119 wall_clock_time_millis_training 511.36231422424316 wall_clock_time_millis_training 499.0358352661133