10326846 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) 8182516 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 0.08310678715769201 13389 cache_size 200 13389 class_weight null 13389 coef0 0.16839646793719543 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.16837265611138993 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 26276 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 21575378 description https://api.openml.org/data/download/21575378/description.xml -1 21575379 predictions https://api.openml.org/data/download/21575379/predictions.arff area_under_roc_curve 0.9005555555555556 [0.995,0.9025,0.973889,0.938333,0.9225,0.936111,0.714167,0.944167,0.981389,0.6975] average_cost 0 f_measure 0.8218721944591082 [0.994975,0.779582,0.964467,0.903061,0.862155,0.921053,0.486216,0.897756,0.953317,0.45614] kappa 0.8011111111111111 kb_relative_information_score 0.8128094091896457 mean_absolute_error 0.03580000000000024 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8242517074617124 [1,0.727273,0.979381,0.921875,0.864322,0.972222,0.487437,0.895522,0.937198,0.457286] predictive_accuracy 0.821 prior_entropy 3.3219280948872383 recall 0.821 [0.99,0.84,0.95,0.885,0.86,0.875,0.485,0.9,0.97,0.455] relative_absolute_error 0.1988888888888841 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18920887928424565 root_relative_squared_error 0.6306962642808093 total_cost 0 area_under_roc_curve 0.9055555555555557 [0.975,0.95,0.975,0.925,0.936111,0.975,0.75,0.847222,0.997222,0.725] area_under_roc_curve 0.902777777777778 [1,0.861111,0.975,0.916667,0.913889,0.947222,0.727778,0.966667,0.972222,0.747222] area_under_roc_curve 0.9055555555555556 [1,0.908333,0.997222,0.925,0.963889,0.975,0.669444,0.947222,1,0.669444] area_under_roc_curve 0.9222222222222222 [1,0.913889,0.975,0.961111,0.991667,0.875,0.827778,0.947222,0.972222,0.758333] area_under_roc_curve 0.8833333333333333 [1,0.852778,0.95,0.919444,0.947222,0.922222,0.594444,0.963889,1,0.683333] area_under_roc_curve 0.9027777777777777 [1,0.911111,0.972222,0.897222,0.894444,0.947222,0.722222,0.994444,0.994444,0.694444] area_under_roc_curve 0.8916666666666667 [0.975,0.905556,0.95,0.941667,0.891667,0.897222,0.744444,0.969444,0.991667,0.65] area_under_roc_curve 0.9027777777777779 [1,0.911111,0.997222,1,0.897222,0.95,0.713889,0.916667,0.969444,0.672222] area_under_roc_curve 0.9194444444444443 [1,0.927778,1,0.972222,0.925,0.925,0.683333,0.997222,1,0.763889] area_under_roc_curve 0.8694444444444446 [1,0.883333,0.947222,0.925,0.863889,0.947222,0.708333,0.891667,0.916667,0.611111] 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 0.8309302079906162 [0.974359,0.791667,0.974359,0.918919,0.837209,0.974359,0.55,0.8,0.97561,0.512821] f_measure 0.8244367250208071 [1,0.75,0.974359,0.85,0.829268,0.923077,0.526316,0.904762,0.95,0.536585] f_measure 0.8286895997616361 [1,0.790698,0.97561,0.918919,0.883721,0.974359,0.410256,0.923077,1,0.410256] f_measure 0.8588977230298841 [1,0.829268,0.974359,0.863636,0.930233,0.857143,0.666667,0.923077,0.95,0.594595] f_measure 0.7905241093735585 [1,0.697674,0.947368,0.871795,0.923077,0.894737,0.277778,0.883721,1,0.409091] f_measure 0.8244332765385397 [1,0.809524,0.95,0.864865,0.842105,0.923077,0.5,0.952381,0.952381,0.45] f_measure 0.8027641373134999 [0.974359,0.772727,0.947368,0.878049,0.820513,0.864865,0.52381,0.926829,0.930233,0.388889] f_measure 0.8260365030480266 [1,0.809524,0.97561,1,0.864865,0.947368,0.465116,0.85,0.926829,0.421053] f_measure 0.8549977858215023 [1,0.782609,1,0.95,0.918919,0.918919,0.470588,0.97561,1,0.533333] f_measure 0.771116556116556 [1,0.761905,0.923077,0.918919,0.769231,0.923077,0.444444,0.820513,0.85,0.3] kappa 0.8111111111111111 kappa 0.8055555555555555 kappa 0.8111111111111111 kappa 0.8444444444444444 kappa 0.7666666666666667 kappa 0.8055555555555555 kappa 0.7833333333333334 kappa 0.8055555555555555 kappa 0.8388888888888889 kappa 0.7388888888888889 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.7803909269822613 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.7542469897182446 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.04699999999999999 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 0.842321019941157 [1,0.678571,1,1,0.782609,1,0.55,0.933333,0.952381,0.526316] precision 0.8249893673577884 [1,0.75,1,0.85,0.809524,0.947368,0.555556,0.863636,0.95,0.52381] precision 0.8307072027895828 [1,0.73913,0.952381,1,0.826087,1,0.421053,0.947368,1,0.421053] precision 0.865154657452746 [1,0.809524,1,0.791667,0.869565,1,0.636364,0.947368,0.95,0.647059] precision 0.7952310577167556 [1,0.652174,1,0.894737,0.947368,0.944444,0.3125,0.826087,1,0.375] precision 0.8268342871438847 [1,0.772727,0.95,0.941176,0.888889,0.947368,0.5,0.909091,0.909091,0.45] precision 0.806058504637553 [1,0.708333,1,0.857143,0.842105,0.941176,0.5,0.904762,0.869565,0.4375] precision 0.8300273653598462 [1,0.772727,0.952381,1,0.941176,1,0.434783,0.85,0.904762,0.444444] precision 0.8646117216117216 [1,0.692308,1,0.95,1,1,0.571429,0.952381,1,0.48] precision 0.7803588516746411 [1,0.727273,0.947368,1,0.789474,0.947368,0.4,0.842105,0.85,0.3] predictive_accuracy 0.83 predictive_accuracy 0.825 predictive_accuracy 0.83 predictive_accuracy 0.86 predictive_accuracy 0.79 predictive_accuracy 0.825 predictive_accuracy 0.805 predictive_accuracy 0.825 predictive_accuracy 0.855 predictive_accuracy 0.765 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 [0.95,0.95,0.95,0.85,0.9,0.95,0.55,0.7,1,0.5] recall 0.825 [1,0.75,0.95,0.85,0.85,0.9,0.5,0.95,0.95,0.55] recall 0.83 [1,0.85,1,0.85,0.95,0.95,0.4,0.9,1,0.4] recall 0.86 [1,0.85,0.95,0.95,1,0.75,0.7,0.9,0.95,0.55] recall 0.79 [1,0.75,0.9,0.85,0.9,0.85,0.25,0.95,1,0.45] recall 0.825 [1,0.85,0.95,0.8,0.8,0.9,0.5,1,1,0.45] recall 0.805 [0.95,0.85,0.9,0.9,0.8,0.8,0.55,0.95,1,0.35] recall 0.825 [1,0.85,1,1,0.8,0.9,0.5,0.85,0.95,0.4] recall 0.855 [1,0.9,1,0.95,0.85,0.85,0.4,1,1,0.6] recall 0.765 [1,0.8,0.9,0.85,0.75,0.9,0.5,0.8,0.85,0.3] relative_absolute_error 0.1888888888888892 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.26111111111111135 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 0.1843908891458578 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.21679483388678797 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.7226494462892937 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 512.0678250023047 usercpu_time_millis 513.0363610005588 usercpu_time_millis 524.5203929953277 usercpu_time_millis 502.03717299882555 usercpu_time_millis 513.2313979993341 usercpu_time_millis 517.4222229979932 usercpu_time_millis 515.0334629943245 usercpu_time_millis 519.080511003267 usercpu_time_millis 554.9689200051944 usercpu_time_millis 569.8243040023954 usercpu_time_millis_testing 35.839158001181204 usercpu_time_millis_testing 35.92153800127562 usercpu_time_millis_testing 36.12355299992487 usercpu_time_millis_testing 36.142425997240935 usercpu_time_millis_testing 37.29497900349088 usercpu_time_millis_testing 36.860316002275795 usercpu_time_millis_testing 38.47564099851297 usercpu_time_millis_testing 38.5988210036885 usercpu_time_millis_testing 52.70799500431167 usercpu_time_millis_testing 39.578891002747696 usercpu_time_millis_training 476.22866700112354 usercpu_time_millis_training 477.1148229992832 usercpu_time_millis_training 488.39683999540284 usercpu_time_millis_training 465.8947470015846 usercpu_time_millis_training 475.93641899584327 usercpu_time_millis_training 480.56190699571744 usercpu_time_millis_training 476.55782199581154 usercpu_time_millis_training 480.4816899995785 usercpu_time_millis_training 502.2609250008827 usercpu_time_millis_training 530.2454129996477 wall_clock_time_millis 578.0689716339111 wall_clock_time_millis 513.2782459259033 wall_clock_time_millis 524.7278213500977 wall_clock_time_millis 502.2435188293457 wall_clock_time_millis 513.4143829345703 wall_clock_time_millis 517.6293849945068 wall_clock_time_millis 515.2292251586914 wall_clock_time_millis 519.3321704864502 wall_clock_time_millis 555.185079574585 wall_clock_time_millis 570.098876953125 wall_clock_time_millis_testing 35.85410118103027 wall_clock_time_millis_testing 35.97545623779297 wall_clock_time_millis_testing 36.13591194152832 wall_clock_time_millis_testing 36.15856170654297 wall_clock_time_millis_testing 37.30940818786621 wall_clock_time_millis_testing 36.87620162963867 wall_clock_time_millis_testing 38.48695755004883 wall_clock_time_millis_testing 38.611412048339844 wall_clock_time_millis_testing 52.72507667541504 wall_clock_time_millis_testing 39.59178924560547 wall_clock_time_millis_training 542.2148704528809 wall_clock_time_millis_training 477.30278968811035 wall_clock_time_millis_training 488.59190940856934 wall_clock_time_millis_training 466.08495712280273 wall_clock_time_millis_training 476.1049747467041 wall_clock_time_millis_training 480.75318336486816 wall_clock_time_millis_training 476.7422676086426 wall_clock_time_millis_training 480.72075843811035 wall_clock_time_millis_training 502.4600028991699 wall_clock_time_millis_training 530.5070877075195