10326835 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) 8182505 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 99.82652811543757 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.6145345149169328 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.15940801509520316 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 40276 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 21575356 description https://api.openml.org/data/download/21575356/description.xml -1 21575357 predictions https://api.openml.org/data/download/21575357/predictions.arff area_under_roc_curve 0.9058333333333334 [1,0.886111,0.963056,0.930556,0.868611,0.941944,0.790278,0.921667,0.984444,0.771667] average_cost 0 f_measure 0.8311249556367691 [1,0.766667,0.946565,0.875,0.759305,0.897243,0.617284,0.872449,0.979798,0.596939] kappa 0.8116666666666666 kb_relative_information_score 0.8227441053499719 mean_absolute_error 0.033900000000000215 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8323292836412666 [1,0.731818,0.963731,0.875,0.753695,0.899497,0.609756,0.890625,0.989796,0.609375] predictive_accuracy 0.8305 prior_entropy 3.3219280948872383 recall 0.8305 [1,0.805,0.93,0.875,0.765,0.895,0.625,0.855,0.97,0.585] relative_absolute_error 0.18833333333332875 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18411952639522028 root_relative_squared_error 0.6137317546507248 total_cost 0 area_under_roc_curve 0.9055555555555557 [1,0.952778,0.972222,0.897222,0.908333,0.95,0.816667,0.897222,1,0.661111] area_under_roc_curve 0.9027777777777777 [1,0.875,0.95,0.894444,0.880556,0.941667,0.713889,0.925,0.975,0.872222] area_under_roc_curve 0.9138888888888889 [1,0.908333,0.972222,0.922222,0.958333,0.944444,0.777778,0.922222,1,0.733333] area_under_roc_curve 0.9277777777777778 [1,0.913889,0.975,0.963889,0.933333,0.922222,0.927778,0.9,0.975,0.766667] area_under_roc_curve 0.8694444444444445 [1,0.875,0.925,0.927778,0.788889,0.886111,0.652778,0.894444,1,0.744444] area_under_roc_curve 0.9138888888888889 [1,0.861111,0.947222,0.897222,0.838889,0.963889,0.877778,0.969444,1,0.783333] area_under_roc_curve 0.9194444444444446 [1,0.861111,0.925,0.994444,0.911111,0.95,0.855556,0.936111,1,0.761111] area_under_roc_curve 0.9 [1,0.863889,0.997222,0.944444,0.813889,0.941667,0.775,0.916667,0.947222,0.8] area_under_roc_curve 0.9138888888888889 [1,0.888889,0.997222,0.991667,0.841667,0.95,0.708333,0.941667,1,0.819444] area_under_roc_curve 0.8916666666666666 [1,0.861111,0.969444,0.872222,0.811111,0.969444,0.797222,0.913889,0.947222,0.775] 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 0.8272502115672751 [1,0.808511,0.95,0.864865,0.790698,0.947368,0.608696,0.864865,1,0.4375] f_measure 0.8257204234966552 [1,0.711111,0.947368,0.842105,0.744186,0.878049,0.545455,0.918919,0.974359,0.695652] f_measure 0.8430171358629132 [1,0.790698,0.95,0.894737,0.844444,0.9,0.6,0.894737,1,0.555556] f_measure 0.8693182239990987 [1,0.829268,0.974359,0.883721,0.818182,0.894737,0.782609,0.888889,0.974359,0.647059] f_measure 0.7625707984194338 [1,0.711111,0.918919,0.782609,0.666667,0.780488,0.4,0.842105,1,0.52381] f_measure 0.8444185766371335 [1,0.75,0.923077,0.864865,0.736842,0.883721,0.727273,0.926829,1,0.631579] f_measure 0.854079822959872 [1,0.75,0.918919,0.952381,0.809524,0.947368,0.714286,0.837209,1,0.611111] f_measure 0.8203082404301917 [1,0.769231,0.97561,0.9,0.702703,0.878049,0.585366,0.85,0.923077,0.619048] f_measure 0.8424524209042227 [1,0.8,0.97561,0.930233,0.756757,0.947368,0.514286,0.878049,1,0.622222] f_measure 0.8063564628443574 [1,0.75,0.926829,0.833333,0.684211,0.926829,0.604651,0.829268,0.923077,0.585366] kappa 0.8111111111111111 kappa 0.8055555555555555 kappa 0.8277777777777777 kappa 0.8555555555555555 kappa 0.7388888888888889 kappa 0.8277777777777777 kappa 0.8388888888888889 kappa 0.7999999999999999 kappa 0.8277777777777777 kappa 0.7833333333333334 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8640515262271141 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.7960772893406711 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.03900000000000002 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 0.8396981951457654 [1,0.703704,0.95,0.941176,0.73913,1,0.538462,0.941176,1,0.583333] precision 0.8389376227637098 [1,0.64,1,0.888889,0.695652,0.857143,0.692308,1,1,0.615385] precision 0.8463019323671497 [1,0.73913,0.95,0.944444,0.76,0.9,0.6,0.944444,1,0.625] precision 0.8808077188511971 [1,0.809524,1,0.826087,0.75,0.944444,0.692308,1,1,0.785714] precision 0.769976800976801 [1,0.64,1,0.692308,0.75,0.761905,0.466667,0.888889,1,0.5] precision 0.8480504864035622 [1,0.75,0.947368,0.941176,0.777778,0.826087,0.666667,0.904762,1,0.666667] precision 0.8583745059288538 [1,0.75,1,0.909091,0.772727,1,0.681818,0.782609,1,0.6875] precision 0.822340945947757 [1,0.789474,0.952381,0.9,0.764706,0.857143,0.571429,0.85,0.947368,0.590909] precision 0.8462618438679819 [1,0.8,0.952381,0.869565,0.823529,1,0.6,0.857143,1,0.56] precision 0.8112784225055392 [1,0.75,0.904762,0.9375,0.722222,0.904762,0.565217,0.809524,0.947368,0.571429] predictive_accuracy 0.83 predictive_accuracy 0.825 predictive_accuracy 0.845 predictive_accuracy 0.87 predictive_accuracy 0.765 predictive_accuracy 0.845 predictive_accuracy 0.855 predictive_accuracy 0.82 predictive_accuracy 0.845 predictive_accuracy 0.805 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 0.83 [1,0.95,0.95,0.8,0.85,0.9,0.7,0.8,1,0.35] recall 0.825 [1,0.8,0.9,0.8,0.8,0.9,0.45,0.85,0.95,0.8] recall 0.845 [1,0.85,0.95,0.85,0.95,0.9,0.6,0.85,1,0.5] recall 0.87 [1,0.85,0.95,0.95,0.9,0.85,0.9,0.8,0.95,0.55] recall 0.765 [1,0.8,0.85,0.9,0.6,0.8,0.35,0.8,1,0.55] recall 0.845 [1,0.75,0.9,0.8,0.7,0.95,0.8,0.95,1,0.6] recall 0.855 [1,0.75,0.85,1,0.85,0.9,0.75,0.9,1,0.55] recall 0.82 [1,0.75,1,0.9,0.65,0.9,0.6,0.85,0.9,0.65] recall 0.845 [1,0.8,1,1,0.7,0.9,0.45,0.9,1,0.7] recall 0.805 [1,0.75,0.95,0.75,0.65,0.95,0.65,0.85,0.9,0.6] relative_absolute_error 0.1888888888888892 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.21666666666666703 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 0.1843908891458578 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.19748417658131504 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6582805886043839 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 1469.0035289968364 usercpu_time_millis 2360.670227004448 usercpu_time_millis 1693.9905119943433 usercpu_time_millis 2733.425719990919 usercpu_time_millis 2147.5015229952987 usercpu_time_millis 1187.4563979945378 usercpu_time_millis 2178.4602440020535 usercpu_time_millis 3014.426829009608 usercpu_time_millis 3392.1414599972195 usercpu_time_millis 1547.7037500022561 usercpu_time_millis_testing 27.202979996218346 usercpu_time_millis_testing 26.31597000436159 usercpu_time_millis_testing 26.621429999067914 usercpu_time_millis_testing 26.9370159949176 usercpu_time_millis_testing 26.67226199992001 usercpu_time_millis_testing 26.859086996410042 usercpu_time_millis_testing 26.588648004690185 usercpu_time_millis_testing 26.09921600378584 usercpu_time_millis_testing 26.173045000177808 usercpu_time_millis_testing 26.417772998684086 usercpu_time_millis_training 1441.800549000618 usercpu_time_millis_training 2334.3542570000864 usercpu_time_millis_training 1667.3690819952753 usercpu_time_millis_training 2706.4887039960013 usercpu_time_millis_training 2120.8292609953787 usercpu_time_millis_training 1160.5973109981278 usercpu_time_millis_training 2151.8715959973633 usercpu_time_millis_training 2988.327613005822 usercpu_time_millis_training 3365.9684149970417 usercpu_time_millis_training 1521.285977003572 wall_clock_time_millis 1517.141580581665 wall_clock_time_millis 2488.945722579956 wall_clock_time_millis 1826.178789138794 wall_clock_time_millis 3077.69513130188 wall_clock_time_millis 2335.6711864471436 wall_clock_time_millis 1287.5733375549316 wall_clock_time_millis 2274.6427059173584 wall_clock_time_millis 3206.850290298462 wall_clock_time_millis 3581.413745880127 wall_clock_time_millis 1674.9107837677002 wall_clock_time_millis_testing 27.21881866455078 wall_clock_time_millis_testing 42.330026626586914 wall_clock_time_millis_testing 26.63588523864746 wall_clock_time_millis_testing 26.95178985595703 wall_clock_time_millis_testing 26.6873836517334 wall_clock_time_millis_testing 26.873350143432617 wall_clock_time_millis_testing 26.60346031188965 wall_clock_time_millis_testing 26.11374855041504 wall_clock_time_millis_testing 26.18718147277832 wall_clock_time_millis_testing 26.432037353515625 wall_clock_time_millis_training 1489.9227619171143 wall_clock_time_millis_training 2446.615695953369 wall_clock_time_millis_training 1799.5429039001465 wall_clock_time_millis_training 3050.743341445923 wall_clock_time_millis_training 2308.98380279541 wall_clock_time_millis_training 1260.699987411499 wall_clock_time_millis_training 2248.0392456054688 wall_clock_time_millis_training 3180.736541748047 wall_clock_time_millis_training 3555.2265644073486 wall_clock_time_millis_training 1648.4787464141846