10326861 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) 8182531 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 3.6080862947181074 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5499049407262779 13389 decision_function_shape "ovr" 13389 degree 1 13389 gamma 0.03110141304760934 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 17547 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 21575408 description https://api.openml.org/data/download/21575408/description.xml -1 21575409 predictions https://api.openml.org/data/download/21575409/predictions.arff area_under_roc_curve 0.9047222222222222 [0.9875,0.879444,0.973889,0.942778,0.921389,0.971667,0.728611,0.946667,0.986389,0.708889] average_cost 0 f_measure 0.828012717803539 [0.987342,0.791878,0.964467,0.90404,0.853598,0.927184,0.506143,0.883495,0.977444,0.484536] kappa 0.8094444444444444 kb_relative_information_score 0.8206525903688511 mean_absolute_error 0.03430000000000022 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8280979101970103 [1,0.804124,0.979381,0.913265,0.847291,0.900943,0.497585,0.858491,0.979899,0.5] predictive_accuracy 0.8284999999999999 prior_entropy 3.3219280948872383 recall 0.8285 [0.975,0.78,0.95,0.895,0.86,0.955,0.515,0.91,0.975,0.47] relative_absolute_error 0.19055555555555093 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18520259177452195 root_relative_squared_error 0.6173419725817304 total_cost 0 area_under_roc_curve 0.8944444444444444 [0.975,0.9,0.972222,0.925,0.916667,0.972222,0.672222,0.869444,0.997222,0.744444] area_under_roc_curve 0.8916666666666666 [0.975,0.888889,0.975,0.919444,0.886111,0.941667,0.697222,0.913889,0.975,0.744444] area_under_roc_curve 0.9027777777777779 [0.95,0.858333,1,0.922222,0.961111,0.969444,0.722222,0.919444,1,0.725] area_under_roc_curve 0.9333333333333335 [1,0.847222,0.975,0.963889,0.991667,0.972222,0.877778,0.966667,0.975,0.763889] area_under_roc_curve 0.8888888888888888 [1,0.811111,0.95,0.894444,0.944444,0.991667,0.691667,0.936111,1,0.669444] area_under_roc_curve 0.9138888888888889 [1,0.95,1,0.897222,0.886111,0.966667,0.747222,0.994444,1,0.697222] area_under_roc_curve 0.9111111111111113 [0.975,0.866667,0.95,0.966667,0.894444,0.963889,0.869444,0.986111,0.997222,0.641667] area_under_roc_curve 0.9166666666666665 [1,0.891667,0.972222,0.994444,0.897222,1,0.744444,0.941667,0.972222,0.752778] area_under_roc_curve 0.9222222222222222 [1,0.891667,1,0.997222,0.969444,0.975,0.608333,0.997222,1,0.783333] area_under_roc_curve 0.8722222222222225 [1,0.888889,0.944444,0.947222,0.866667,0.963889,0.655556,0.941667,0.947222,0.566667] 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 0.8113691050357345 [0.974359,0.73913,0.95,0.918919,0.85,0.95,0.421053,0.810811,0.97561,0.52381] f_measure 0.806802465826856 [0.974359,0.8,0.974359,0.871795,0.780488,0.878049,0.461538,0.829268,0.974359,0.52381] f_measure 0.8248893596775495 [0.947368,0.731707,1,0.894737,0.863636,0.926829,0.5,0.871795,1,0.512821] f_measure 0.8773277497696103 [1,0.8,0.974359,0.883721,0.930233,0.95,0.727273,0.904762,0.974359,0.628571] f_measure 0.7990406871491745 [1,0.684211,0.947368,0.842105,0.9,0.930233,0.439024,0.837209,1,0.410256] f_measure 0.8447987775330522 [1,0.947368,1,0.864865,0.780488,0.904762,0.536585,0.952381,1,0.461538] f_measure 0.8300931990039002 [0.974359,0.789474,0.947368,0.904762,0.842105,0.883721,0.680851,0.888889,0.97561,0.413793] f_measure 0.8503719506158529 [1,0.820513,0.95,0.952381,0.864865,1,0.52381,0.878049,0.95,0.564103] f_measure 0.8537167887187558 [1,0.820513,1,0.97561,0.926829,0.974359,0.322581,0.97561,1,0.541667] f_measure 0.768325582694332 [1,0.8,0.9,0.923077,0.789474,0.883721,0.363636,0.878049,0.923077,0.222222] kappa 0.788888888888889 kappa 0.7833333333333334 kappa 0.8055555555555555 kappa 0.8666666666666667 kappa 0.7777777777777778 kappa 0.8277777777777777 kappa 0.8222222222222222 kappa 0.8333333333333333 kappa 0.8444444444444444 kappa 0.7444444444444445 kb_relative_information_score 0.8013060767934745 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8745091011327207 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8326788015102943 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.759475777171048 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.024000000000000007 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.046 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 0.818302449184802 [1,0.653846,0.95,1,0.85,0.95,0.444444,0.882353,0.952381,0.5] precision 0.8096992481203007 [1,0.8,1,0.894737,0.761905,0.857143,0.473684,0.809524,1,0.5] precision 0.8276211361737676 [1,0.714286,1,0.944444,0.791667,0.904762,0.5,0.894737,1,0.526316] precision 0.8842621870882739 [1,0.933333,1,0.826087,0.869565,0.95,0.666667,0.863636,1,0.733333] precision 0.8012909084304967 [1,0.722222,1,0.888889,0.9,0.869565,0.428571,0.782609,1,0.421053] precision 0.8473302239556111 [1,1,1,0.941176,0.761905,0.863636,0.52381,0.909091,1,0.473684] precision 0.8423585754020536 [1,0.833333,1,0.863636,0.888889,0.826087,0.592593,0.8,0.952381,0.666667] precision 0.8528462868400949 [1,0.842105,0.95,0.909091,0.941176,1,0.5,0.857143,0.95,0.578947] precision 0.8570460241512872 [1,0.842105,1,0.952381,0.904762,1,0.454545,0.952381,1,0.464286] precision 0.7694633322436526 [1,0.8,0.9,0.947368,0.833333,0.826087,0.333333,0.857143,0.947368,0.25] predictive_accuracy 0.81 predictive_accuracy 0.805 predictive_accuracy 0.825 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.845 predictive_accuracy 0.84 predictive_accuracy 0.85 predictive_accuracy 0.86 predictive_accuracy 0.77 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 0.81 [0.95,0.85,0.95,0.85,0.85,0.95,0.4,0.75,1,0.55] recall 0.805 [0.95,0.8,0.95,0.85,0.8,0.9,0.45,0.85,0.95,0.55] recall 0.825 [0.9,0.75,1,0.85,0.95,0.95,0.5,0.85,1,0.5] recall 0.88 [1,0.7,0.95,0.95,1,0.95,0.8,0.95,0.95,0.55] recall 0.8 [1,0.65,0.9,0.8,0.9,1,0.45,0.9,1,0.4] recall 0.845 [1,0.9,1,0.8,0.8,0.95,0.55,1,1,0.45] recall 0.84 [0.95,0.75,0.9,0.95,0.8,0.95,0.8,1,1,0.3] recall 0.85 [1,0.8,0.95,1,0.8,1,0.55,0.9,0.95,0.55] recall 0.86 [1,0.8,1,1,0.95,0.95,0.25,1,1,0.65] recall 0.77 [1,0.8,0.9,0.9,0.75,0.95,0.4,0.9,0.9,0.2] relative_absolute_error 0.21111111111111147 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.13333333333333353 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.2555555555555558 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 0.19493588689617933 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.1549193338482967 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.21447610589527216 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5163977794943226 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.714920352984241 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 990.7364879982197 usercpu_time_millis 960.836965998169 usercpu_time_millis 1012.4996650047251 usercpu_time_millis 1007.0564320049016 usercpu_time_millis 982.5469480056199 usercpu_time_millis 981.6616560055991 usercpu_time_millis 988.8453650055453 usercpu_time_millis 972.1805099979974 usercpu_time_millis 976.8763399988529 usercpu_time_millis 979.9385570004233 usercpu_time_millis_testing 54.66847799834795 usercpu_time_millis_testing 54.73910200089449 usercpu_time_millis_testing 56.139246000384446 usercpu_time_millis_testing 55.02988100488437 usercpu_time_millis_testing 54.16621400217991 usercpu_time_millis_testing 56.765936002193484 usercpu_time_millis_testing 54.630662001727615 usercpu_time_millis_testing 54.70368399983272 usercpu_time_millis_testing 54.82563500117976 usercpu_time_millis_testing 54.79561899846885 usercpu_time_millis_training 936.0680099998717 usercpu_time_millis_training 906.0978639972745 usercpu_time_millis_training 956.3604190043407 usercpu_time_millis_training 952.0265510000172 usercpu_time_millis_training 928.38073400344 usercpu_time_millis_training 924.8957200034056 usercpu_time_millis_training 934.2147030038177 usercpu_time_millis_training 917.4768259981647 usercpu_time_millis_training 922.0507049976732 usercpu_time_millis_training 925.1429380019545 wall_clock_time_millis 992.1197891235352 wall_clock_time_millis 961.3900184631348 wall_clock_time_millis 1013.0994319915771 wall_clock_time_millis 1007.6630115509033 wall_clock_time_millis 983.4957122802734 wall_clock_time_millis 982.0592403411865 wall_clock_time_millis 989.2199039459229 wall_clock_time_millis 972.4791049957275 wall_clock_time_millis 1077.0459175109863 wall_clock_time_millis 1100.0306606292725 wall_clock_time_millis_testing 54.70132827758789 wall_clock_time_millis_testing 54.79145050048828 wall_clock_time_millis_testing 56.15425109863281 wall_clock_time_millis_testing 55.045127868652344 wall_clock_time_millis_testing 54.19802665710449 wall_clock_time_millis_testing 56.78296089172363 wall_clock_time_millis_testing 54.685115814208984 wall_clock_time_millis_testing 54.757118225097656 wall_clock_time_millis_testing 74.83792304992676 wall_clock_time_millis_testing 86.81011199951172 wall_clock_time_millis_training 937.4184608459473 wall_clock_time_millis_training 906.5985679626465 wall_clock_time_millis_training 956.9451808929443 wall_clock_time_millis_training 952.617883682251 wall_clock_time_millis_training 929.297685623169 wall_clock_time_millis_training 925.2762794494629 wall_clock_time_millis_training 934.5347881317139 wall_clock_time_millis_training 917.7219867706299 wall_clock_time_millis_training 1002.2079944610596 wall_clock_time_millis_training 1013.2205486297607