10327076 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) 8182744 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 0.4212172063086123 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.30890982063706174 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.012608109887061762 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 11140 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 21575838 description https://api.openml.org/data/download/21575838/description.xml -1 21575839 predictions https://api.openml.org/data/download/21575839/predictions.arff area_under_roc_curve 0.8977777777777776 [0.941111,0.869444,0.943611,0.865278,0.881111,0.879444,0.937222,0.920278,0.795,0.945278] average_cost 0 f_measure 0.8142974462444278 [0.890547,0.765,0.8933,0.810959,0.836957,0.791878,0.830275,0.800915,0.695402,0.82774] kappa 0.7955555555555555 kb_relative_information_score 0.8075806217368436 mean_absolute_error 0.036800000000000256 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8227499395060646 [0.886139,0.765,0.8867,0.89697,0.916667,0.804124,0.766949,0.738397,0.817568,0.748988] predictive_accuracy 0.816 prior_entropy 3.3219280948872383 recall 0.816 [0.895,0.765,0.9,0.74,0.77,0.78,0.905,0.875,0.605,0.925] relative_absolute_error 0.20444444444443957 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19183326093250944 root_relative_squared_error 0.6394442031083549 total_cost 0 area_under_roc_curve 0.8916666666666667 [0.819444,0.886111,0.944444,0.888889,0.922222,0.888889,0.930556,0.902778,0.744444,0.988889] area_under_roc_curve 0.8805555555555555 [0.938889,0.813889,0.944444,0.744444,0.866667,0.863889,0.930556,0.913889,0.847222,0.941667] area_under_roc_curve 0.913888888888889 [0.969444,0.866667,0.986111,0.9,0.897222,0.883333,0.966667,0.922222,0.788889,0.958333] area_under_roc_curve 0.9055555555555554 [0.891667,0.913889,0.916667,0.875,0.875,0.891667,0.958333,0.936111,0.888889,0.908333] area_under_roc_curve 0.8777777777777779 [0.944444,0.833333,0.938889,0.863889,0.822222,0.816667,0.922222,0.933333,0.772222,0.930556] area_under_roc_curve 0.8833333333333333 [0.994444,0.886111,0.944444,0.825,0.825,0.866667,0.927778,0.911111,0.769444,0.883333] area_under_roc_curve 0.9166666666666667 [0.95,0.833333,0.947222,0.947222,0.913889,0.894444,0.922222,0.958333,0.811111,0.988889] area_under_roc_curve 0.9000000000000001 [0.969444,0.886111,0.947222,0.816667,0.866667,0.911111,0.961111,0.933333,0.747222,0.961111] area_under_roc_curve 0.925 [0.991667,0.866667,0.947222,0.941667,0.95,0.863889,0.969444,0.908333,0.869444,0.941667] area_under_roc_curve 0.8833333333333333 [0.941667,0.908333,0.919444,0.85,0.872222,0.913889,0.883333,0.883333,0.711111,0.95] 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 0.8007728254486919 [0.742857,0.780488,0.9,0.8,0.894737,0.8,0.8,0.755556,0.625,0.909091] f_measure 0.7827481146715837 [0.857143,0.702703,0.9,0.625,0.789474,0.769231,0.8,0.705882,0.8,0.878049] f_measure 0.8431460215028893 [0.926829,0.789474,0.888889,0.888889,0.864865,0.761905,0.904762,0.894737,0.666667,0.844444] f_measure 0.8306931069182911 [0.820513,0.829268,0.85,0.857143,0.857143,0.820513,0.844444,0.837209,0.8,0.790698] f_measure 0.7768983549130607 [0.9,0.7,0.857143,0.769231,0.764706,0.722222,0.75,0.818182,0.6875,0.8] f_measure 0.7910745342915908 [0.952381,0.780488,0.9,0.787879,0.787879,0.789474,0.782609,0.809524,0.666667,0.653846] f_measure 0.8497378545003705 [0.947368,0.7,0.923077,0.923077,0.829268,0.842105,0.894737,0.844444,0.684211,0.909091] f_measure 0.8142229547981339 [0.926829,0.780488,0.923077,0.722222,0.789474,0.809524,0.863636,0.818182,0.645161,0.863636] f_measure 0.8643817670208094 [0.930233,0.789474,0.923077,0.878049,0.947368,0.769231,0.926829,0.790698,0.810811,0.878049] f_measure 0.7871560319664321 [0.878049,0.790698,0.871795,0.823529,0.833333,0.829268,0.761905,0.761905,0.529412,0.791667] kappa 0.7833333333333334 kappa 0.7611111111111112 kappa 0.8277777777777777 kappa 0.8111111111111111 kappa 0.7555555555555555 kappa 0.7666666666666667 kappa 0.8333333333333333 kappa 0.7999999999999999 kappa 0.85 kappa 0.7666666666666667 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.775162139529458 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.7803909269822614 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.8588227387743107 kb_relative_information_score 0.7803909269822614 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.04300000000000001 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.04200000000000001 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 0.8139682539682538 [0.866667,0.761905,0.9,0.8,0.944444,0.8,0.72,0.68,0.833333,0.833333] precision 0.8030149403178466 [0.818182,0.764706,0.9,0.833333,0.833333,0.789474,0.72,0.580645,0.933333,0.857143] precision 0.8524625244037008 [0.904762,0.833333,0.8,1,0.941176,0.727273,0.863636,0.944444,0.75,0.76] precision 0.842547346627438 [0.842105,0.809524,0.85,1,1,0.842105,0.76,0.782609,0.8,0.73913] precision 0.7978250740487582 [0.9,0.7,0.818182,0.789474,0.928571,0.8125,0.642857,0.75,0.916667,0.72] precision 0.8246767815517815 [0.909091,0.761905,0.9,1,1,0.833333,0.692308,0.772727,0.846154,0.53125] precision 0.8553149540517961 [1,0.7,0.947368,0.947368,0.809524,0.888889,0.944444,0.76,0.722222,0.833333] precision 0.8275019936204147 [0.904762,0.761905,0.947368,0.8125,0.833333,0.772727,0.791667,0.75,0.909091,0.791667] precision 0.8680271650994493 [0.869565,0.833333,0.947368,0.857143,1,0.789474,0.904762,0.73913,0.882353,0.857143] precision 0.8014007969528566 [0.857143,0.73913,0.894737,1,0.9375,0.809524,0.727273,0.727273,0.642857,0.678571] predictive_accuracy 0.805 predictive_accuracy 0.785 predictive_accuracy 0.845 predictive_accuracy 0.83 predictive_accuracy 0.78 predictive_accuracy 0.79 predictive_accuracy 0.85 predictive_accuracy 0.82 predictive_accuracy 0.865 predictive_accuracy 0.79 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 0.805 [0.65,0.8,0.9,0.8,0.85,0.8,0.9,0.85,0.5,1] recall 0.785 [0.9,0.65,0.9,0.5,0.75,0.75,0.9,0.9,0.7,0.9] recall 0.845 [0.95,0.75,1,0.8,0.8,0.8,0.95,0.85,0.6,0.95] recall 0.83 [0.8,0.85,0.85,0.75,0.75,0.8,0.95,0.9,0.8,0.85] recall 0.78 [0.9,0.7,0.9,0.75,0.65,0.65,0.9,0.9,0.55,0.9] recall 0.79 [1,0.8,0.9,0.65,0.65,0.75,0.9,0.85,0.55,0.85] recall 0.85 [0.9,0.7,0.9,0.9,0.85,0.8,0.85,0.95,0.65,1] recall 0.82 [0.95,0.8,0.9,0.65,0.75,0.85,0.95,0.9,0.5,0.95] recall 0.865 [1,0.75,0.9,0.9,0.9,0.75,0.95,0.85,0.75,0.9] recall 0.79 [0.9,0.85,0.85,0.7,0.75,0.85,0.8,0.8,0.45,0.95] relative_absolute_error 0.21666666666666703 relative_absolute_error 0.2388888888888892 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.15000000000000024 relative_absolute_error 0.23333333333333364 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 0.19748417658131504 root_mean_squared_error 0.20736441353327723 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.16431676725154987 root_mean_squared_error 0.20493901531919198 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6912147117775912 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.6831300510639737 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 495.24563099839725 usercpu_time_millis 499.5422319989302 usercpu_time_millis 497.3375539993867 usercpu_time_millis 493.58817999018356 usercpu_time_millis 496.4162980031688 usercpu_time_millis 507.16003499837825 usercpu_time_millis 498.74963399634 usercpu_time_millis 504.9276809950243 usercpu_time_millis 518.0146909988252 usercpu_time_millis 519.5899620011915 usercpu_time_millis_testing 42.398015000799205 usercpu_time_millis_testing 43.09259499859763 usercpu_time_millis_testing 43.136808002600446 usercpu_time_millis_testing 42.94815699540777 usercpu_time_millis_testing 43.03169900231296 usercpu_time_millis_testing 43.531850998988375 usercpu_time_millis_testing 42.690021997259464 usercpu_time_millis_testing 44.15245099517051 usercpu_time_millis_testing 44.092402000387665 usercpu_time_millis_testing 43.88172699691495 usercpu_time_millis_training 452.84761599759804 usercpu_time_millis_training 456.4496370003326 usercpu_time_millis_training 454.2007459967863 usercpu_time_millis_training 450.6400229947758 usercpu_time_millis_training 453.3845990008558 usercpu_time_millis_training 463.6281839993899 usercpu_time_millis_training 456.0596119990805 usercpu_time_millis_training 460.77522999985376 usercpu_time_millis_training 473.9222889984376 usercpu_time_millis_training 475.7082350042765 wall_clock_time_millis 511.3525390625 wall_clock_time_millis 499.6049404144287 wall_clock_time_millis 497.4212646484375 wall_clock_time_millis 493.6678409576416 wall_clock_time_millis 496.49548530578613 wall_clock_time_millis 507.21240043640137 wall_clock_time_millis 498.81529808044434 wall_clock_time_millis 504.9939155578613 wall_clock_time_millis 518.1071758270264 wall_clock_time_millis 519.6406841278076 wall_clock_time_millis_testing 42.412757873535156 wall_clock_time_millis_testing 43.105363845825195 wall_clock_time_millis_testing 43.1520938873291 wall_clock_time_millis_testing 42.96302795410156 wall_clock_time_millis_testing 43.04623603820801 wall_clock_time_millis_testing 43.54739189147949 wall_clock_time_millis_testing 42.70529747009277 wall_clock_time_millis_testing 44.16775703430176 wall_clock_time_millis_testing 44.10505294799805 wall_clock_time_millis_testing 43.89548301696777 wall_clock_time_millis_training 468.93978118896484 wall_clock_time_millis_training 456.4995765686035 wall_clock_time_millis_training 454.2691707611084 wall_clock_time_millis_training 450.70481300354004 wall_clock_time_millis_training 453.4492492675781 wall_clock_time_millis_training 463.6650085449219 wall_clock_time_millis_training 456.11000061035156 wall_clock_time_millis_training 460.82615852355957 wall_clock_time_millis_training 474.0021228790283 wall_clock_time_millis_training 475.74520111083984