10328558 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) 8184203 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 86.94814255939787 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5721041651497317 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.038416635182561276 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 37434 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 21578802 description https://api.openml.org/data/download/21578802/description.xml -1 21578803 predictions https://api.openml.org/data/download/21578803/predictions.arff area_under_roc_curve 0.9002777777777778 [0.985,0.882222,0.963889,0.931111,0.918889,0.968889,0.720278,0.937222,0.986389,0.708889] average_cost 0 f_measure 0.8202871458656402 [0.984772,0.796954,0.953846,0.896907,0.834951,0.905213,0.4914,0.876847,0.977444,0.484536] kappa 0.8005555555555556 kb_relative_information_score 0.8122865304443662 mean_absolute_error 0.03590000000000024 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8212507703737438 [1,0.809278,0.978947,0.925532,0.811321,0.86036,0.483092,0.864078,0.979899,0.5] predictive_accuracy 0.8205 prior_entropy 3.3219280948872383 recall 0.8205 [0.97,0.785,0.93,0.87,0.86,0.955,0.5,0.89,0.975,0.47] relative_absolute_error 0.19944444444443962 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1894729532149648 root_relative_squared_error 0.6315765107165396 total_cost 0 area_under_roc_curve 0.886111111111111 [0.975,0.9,0.972222,0.9,0.911111,0.969444,0.625,0.844444,0.997222,0.766667] area_under_roc_curve 0.8916666666666666 [0.975,0.913889,0.975,0.922222,0.883333,0.938889,0.672222,0.916667,0.975,0.744444] area_under_roc_curve 0.9 [0.95,0.861111,0.95,0.922222,0.983333,0.972222,0.716667,0.919444,1,0.725] area_under_roc_curve 0.9222222222222222 [1,0.847222,0.975,0.941667,0.969444,0.963889,0.847222,0.966667,0.975,0.736111] area_under_roc_curve 0.875 [1,0.811111,0.95,0.894444,0.933333,0.991667,0.666667,0.861111,1,0.641667] area_under_roc_curve 0.9166666666666665 [1,0.95,1,0.897222,0.883333,0.966667,0.772222,0.994444,1,0.702778] area_under_roc_curve 0.9083333333333333 [0.95,0.863889,0.95,0.966667,0.897222,0.958333,0.869444,0.988889,0.997222,0.641667] area_under_roc_curve 0.913888888888889 [1,0.891667,0.947222,0.947222,0.922222,0.994444,0.766667,0.941667,0.972222,0.755556] area_under_roc_curve 0.9194444444444444 [1,0.891667,0.975,0.997222,0.941667,0.972222,0.611111,0.997222,1,0.808333] area_under_roc_curve 0.8694444444444447 [1,0.891667,0.944444,0.922222,0.863889,0.961111,0.655556,0.941667,0.947222,0.566667] 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 0.7930430598033991 [0.974359,0.73913,0.95,0.888889,0.809524,0.926829,0.342857,0.777778,0.97561,0.545455] f_measure 0.8060991832301202 [0.974359,0.829268,0.974359,0.894737,0.761905,0.857143,0.421053,0.85,0.974359,0.52381] f_measure 0.8219844762407691 [0.947368,0.75,0.947368,0.894737,0.869565,0.95,0.47619,0.871795,1,0.512821] f_measure 0.8580174070588137 [1,0.8,0.974359,0.878049,0.926829,0.883721,0.666667,0.904762,0.974359,0.571429] f_measure 0.773107294582203 [1,0.684211,0.947368,0.842105,0.818182,0.930233,0.4,0.75,1,0.358974] f_measure 0.8489195962880174 [1,0.947368,1,0.864865,0.761905,0.904762,0.571429,0.952381,1,0.486486] f_measure 0.825738365787378 [0.947368,0.769231,0.947368,0.904762,0.864865,0.844444,0.680851,0.909091,0.97561,0.413793] f_measure 0.8466235155516284 [1,0.820513,0.923077,0.923077,0.894737,0.952381,0.545455,0.878049,0.95,0.578947] f_measure 0.8478901992316626 [1,0.820513,0.974359,0.97561,0.878049,0.95,0.333333,0.97561,1,0.571429] f_measure 0.763510108490853 [1,0.820513,0.9,0.894737,0.769231,0.863636,0.363636,0.878049,0.923077,0.222222] kappa 0.7722222222222223 kappa 0.7833333333333334 kappa 0.7999999999999999 kappa 0.8444444444444444 kappa 0.75 kappa 0.8333333333333333 kappa 0.8166666666666667 kappa 0.8277777777777777 kappa 0.8388888888888889 kappa 0.7388888888888889 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.7647045646238513 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.827450014057491 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.7542469897182446 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.045 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.031000000000000014 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 0.8008716283716284 [1,0.653846,0.95,1,0.772727,0.904762,0.4,0.875,0.952381,0.5] precision 0.8093867243867243 [1,0.809524,1,0.944444,0.727273,0.818182,0.444444,0.85,1,0.5] precision 0.8289273299799614 [1,0.75,1,0.944444,0.769231,0.95,0.454545,0.894737,1,0.526316] precision 0.8651628082062865 [1,0.933333,1,0.857143,0.904762,0.826087,0.6,0.863636,1,0.666667] precision 0.7749097381133996 [1,0.722222,1,0.888889,0.75,0.869565,0.4,0.75,1,0.368421] precision 0.8516042780748664 [1,1,1,0.941176,0.727273,0.863636,0.545455,0.909091,1,0.529412] precision 0.839926006340867 [1,0.789474,1,0.863636,0.941176,0.76,0.592593,0.833333,0.952381,0.666667] precision 0.850863142705248 [1,0.842105,0.947368,0.947368,0.944444,0.909091,0.5,0.857143,0.95,0.611111] precision 0.8536768645752312 [1,0.842105,1,0.952381,0.857143,0.95,0.5,0.952381,1,0.482759] precision 0.7655534670008354 [1,0.842105,0.9,0.944444,0.789474,0.791667,0.333333,0.857143,0.947368,0.25] predictive_accuracy 0.795 predictive_accuracy 0.805 predictive_accuracy 0.82 predictive_accuracy 0.86 predictive_accuracy 0.775 predictive_accuracy 0.85 predictive_accuracy 0.835 predictive_accuracy 0.845 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 0.795 [0.95,0.85,0.95,0.8,0.85,0.95,0.3,0.7,1,0.6] recall 0.805 [0.95,0.85,0.95,0.85,0.8,0.9,0.4,0.85,0.95,0.55] recall 0.82 [0.9,0.75,0.9,0.85,1,0.95,0.5,0.85,1,0.5] recall 0.86 [1,0.7,0.95,0.9,0.95,0.95,0.75,0.95,0.95,0.5] recall 0.775 [1,0.65,0.9,0.8,0.9,1,0.4,0.75,1,0.35] recall 0.85 [1,0.9,1,0.8,0.8,0.95,0.6,1,1,0.45] recall 0.835 [0.9,0.75,0.9,0.95,0.8,0.95,0.8,1,1,0.3] recall 0.845 [1,0.8,0.9,0.9,0.85,1,0.6,0.9,0.95,0.55] recall 0.855 [1,0.8,0.95,1,0.9,0.95,0.25,1,1,0.7] recall 0.765 [1,0.8,0.9,0.85,0.75,0.95,0.4,0.9,0.9,0.2] relative_absolute_error 0.2277777777777781 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.2500000000000003 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.1722222222222225 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 0.20248456731316591 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.21213203435596426 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.21679483388678797 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.707106781186548 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5868938953886341 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 1064.0808550015208 usercpu_time_millis 1075.8313379919855 usercpu_time_millis 1071.8396910015144 usercpu_time_millis 1069.6930999984033 usercpu_time_millis 1076.491353000165 usercpu_time_millis 1068.1687709948164 usercpu_time_millis 1070.7097240010626 usercpu_time_millis 1059.687129993108 usercpu_time_millis 1068.6988559973543 usercpu_time_millis 1061.3027700019302 usercpu_time_millis_testing 55.27185100072529 usercpu_time_millis_testing 55.57736499758903 usercpu_time_millis_testing 57.504270000208635 usercpu_time_millis_testing 55.57631699775811 usercpu_time_millis_testing 56.06177700246917 usercpu_time_millis_testing 56.22516499715857 usercpu_time_millis_testing 55.671176000032574 usercpu_time_millis_testing 55.638883997744415 usercpu_time_millis_testing 56.00061800214462 usercpu_time_millis_testing 55.724997000652365 usercpu_time_millis_training 1008.8090040007955 usercpu_time_millis_training 1020.2539729943965 usercpu_time_millis_training 1014.3354210013058 usercpu_time_millis_training 1014.1167830006452 usercpu_time_millis_training 1020.4295759976958 usercpu_time_millis_training 1011.9436059976579 usercpu_time_millis_training 1015.03854800103 usercpu_time_millis_training 1004.0482459953637 usercpu_time_millis_training 1012.6982379952096 usercpu_time_millis_training 1005.5777730012778 wall_clock_time_millis 1080.1825523376465 wall_clock_time_millis 1107.9556941986084 wall_clock_time_millis 1071.9349384307861 wall_clock_time_millis 1069.7846412658691 wall_clock_time_millis 1076.5976905822754 wall_clock_time_millis 1068.260908126831 wall_clock_time_millis 1070.8045959472656 wall_clock_time_millis 1059.7772598266602 wall_clock_time_millis 1068.8040256500244 wall_clock_time_millis 1061.4101886749268 wall_clock_time_millis_testing 55.28688430786133 wall_clock_time_millis_testing 55.59515953063965 wall_clock_time_millis_testing 57.52134323120117 wall_clock_time_millis_testing 55.591583251953125 wall_clock_time_millis_testing 56.07748031616211 wall_clock_time_millis_testing 56.24103546142578 wall_clock_time_millis_testing 55.68957328796387 wall_clock_time_millis_testing 55.65500259399414 wall_clock_time_millis_testing 56.01787567138672 wall_clock_time_millis_testing 55.742740631103516 wall_clock_time_millis_training 1024.8956680297852 wall_clock_time_millis_training 1052.3605346679688 wall_clock_time_millis_training 1014.413595199585 wall_clock_time_millis_training 1014.193058013916 wall_clock_time_millis_training 1020.5202102661133 wall_clock_time_millis_training 1012.0198726654053 wall_clock_time_millis_training 1015.1150226593018 wall_clock_time_millis_training 1004.122257232666 wall_clock_time_millis_training 1012.7861499786377 wall_clock_time_millis_training 1005.6674480438232