10328598 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) 8184241 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 547.0836590063223 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7039368935060544 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.003970623713474363 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 1093 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 21578882 description https://api.openml.org/data/download/21578882/description.xml -1 21578883 predictions https://api.openml.org/data/download/21578883/predictions.arff area_under_roc_curve 0.9125000000000001 [0.9975,0.889444,0.971111,0.948889,0.906944,0.951944,0.763889,0.948056,0.986389,0.760833] average_cost 0 f_measure 0.842917642006524 [0.997494,0.789216,0.959391,0.90099,0.840506,0.926209,0.575,0.894349,0.977444,0.568579] kappa 0.8250000000000001 kb_relative_information_score 0.8352931952366996 mean_absolute_error 0.03150000000000018 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8436000090768483 [1,0.774038,0.974227,0.892157,0.851282,0.943005,0.575,0.879227,0.979899,0.567164] predictive_accuracy 0.8425 prior_entropy 3.3219280948872383 recall 0.8425 [0.995,0.805,0.945,0.91,0.83,0.91,0.575,0.91,0.975,0.57] relative_absolute_error 0.17499999999999563 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.177482393492989 root_relative_squared_error 0.5916079783099542 total_cost 0 area_under_roc_curve 0.925 [0.975,0.908333,0.997222,0.947222,0.938889,0.975,0.827778,0.922222,0.997222,0.761111] area_under_roc_curve 0.8972222222222221 [1,0.858333,0.95,0.894444,0.911111,0.944444,0.702778,0.941667,0.975,0.794444] area_under_roc_curve 0.9055555555555556 [1,0.930556,0.975,0.919444,0.961111,0.947222,0.722222,0.897222,1,0.702778] area_under_roc_curve 0.9416666666666665 [1,0.891667,0.975,0.986111,0.994444,0.925,0.908333,0.947222,0.975,0.813889] area_under_roc_curve 0.8833333333333334 [1,0.833333,0.925,0.938889,0.869444,0.916667,0.625,0.963889,1,0.761111] area_under_roc_curve 0.9166666666666665 [1,0.886111,0.972222,0.894444,0.869444,0.994444,0.825,0.969444,1,0.755556] area_under_roc_curve 0.9138888888888888 [1,0.888889,0.95,0.966667,0.866667,0.944444,0.827778,0.963889,0.997222,0.733333] area_under_roc_curve 0.9222222222222223 [1,0.894444,0.997222,0.972222,0.891667,0.947222,0.802778,0.966667,0.972222,0.777778] area_under_roc_curve 0.9194444444444444 [1,0.891667,1,0.994444,0.925,0.95,0.658333,0.988889,1,0.786111] area_under_roc_curve 0.9 [1,0.911111,0.969444,0.975,0.841667,0.975,0.738889,0.919444,0.947222,0.722222] 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 0.8643369535434496 [0.974359,0.790698,0.97561,0.923077,0.857143,0.974359,0.666667,0.894737,0.97561,0.611111] f_measure 0.8160508143049863 [1,0.731707,0.947368,0.842105,0.809524,0.9,0.486486,0.878049,0.974359,0.590909] f_measure 0.8284218484218485 [1,0.8,0.974359,0.871795,0.863636,0.923077,0.5,0.864865,1,0.486486] f_measure 0.894589682961776 [1,0.820513,0.974359,0.888889,0.952381,0.918919,0.790698,0.923077,0.974359,0.702703] f_measure 0.7885189790397071 [1,0.7,0.918919,0.857143,0.810811,0.85,0.342857,0.883721,1,0.521739] f_measure 0.8492724258639116 [1,0.780488,0.95,0.842105,0.810811,0.952381,0.651163,0.926829,1,0.578947] f_measure 0.8423156918577404 [1,0.8,0.947368,0.904762,0.789474,0.9,0.666667,0.883721,0.97561,0.555556] f_measure 0.860021300907052 [1,0.842105,0.97561,0.95,0.820513,0.923077,0.634146,0.904762,0.95,0.6] f_measure 0.8525705935560359 [1,0.820513,1,0.952381,0.918919,0.947368,0.424242,0.909091,1,0.553191] f_measure 0.8236699578162993 [1,0.809524,0.926829,0.974359,0.756757,0.974359,0.5,0.871795,0.923077,0.5] kappa 0.85 kappa 0.7944444444444444 kappa 0.8111111111111111 kappa 0.8833333333333333 kappa 0.7666666666666667 kappa 0.8333333333333333 kappa 0.8277777777777777 kappa 0.8444444444444444 kappa 0.8388888888888889 kappa 0.7999999999999999 kb_relative_information_score 0.8588227387743107 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.8222212266046877 kb_relative_information_score 0.8901954634911305 kb_relative_information_score 0.7803909269822613 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8535939513215075 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.811763651699081 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.021000000000000005 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.03600000000000002 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 0.8677750659587044 [1,0.73913,0.952381,0.947368,0.818182,1,0.636364,0.944444,0.952381,0.6875] precision 0.8204123164417283 [1,0.714286,1,0.888889,0.772727,0.9,0.529412,0.857143,1,0.541667] precision 0.8324360165118679 [1,0.72,1,0.894737,0.791667,0.947368,0.5,0.941176,1,0.529412] precision 0.9002400910436985 [1,0.842105,1,0.8,0.909091,1,0.73913,0.947368,1,0.764706] precision 0.7938160177418488 [1,0.7,1,0.818182,0.882353,0.85,0.4,0.826087,1,0.461538] precision 0.851680616910796 [1,0.761905,0.95,0.888889,0.882353,0.909091,0.608696,0.904762,1,0.611111] precision 0.8436801242236025 [1,0.8,1,0.863636,0.833333,0.9,0.636364,0.826087,0.952381,0.625] precision 0.861342750816435 [1,0.888889,0.952381,0.95,0.842105,0.947368,0.619048,0.863636,0.95,0.6] precision 0.8604472525525156 [1,0.842105,1,0.909091,1,1,0.538462,0.833333,1,0.481481] precision 0.8301457185745111 [1,0.772727,0.904762,1,0.823529,1,0.458333,0.894737,0.947368,0.5] predictive_accuracy 0.865 predictive_accuracy 0.815 predictive_accuracy 0.83 predictive_accuracy 0.895 predictive_accuracy 0.79 predictive_accuracy 0.85 predictive_accuracy 0.845 predictive_accuracy 0.86 predictive_accuracy 0.855 predictive_accuracy 0.82 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 0.865 [0.95,0.85,1,0.9,0.9,0.95,0.7,0.85,1,0.55] recall 0.815 [1,0.75,0.9,0.8,0.85,0.9,0.45,0.9,0.95,0.65] recall 0.83 [1,0.9,0.95,0.85,0.95,0.9,0.5,0.8,1,0.45] recall 0.895 [1,0.8,0.95,1,1,0.85,0.85,0.9,0.95,0.65] recall 0.79 [1,0.7,0.85,0.9,0.75,0.85,0.3,0.95,1,0.6] recall 0.85 [1,0.8,0.95,0.8,0.75,1,0.7,0.95,1,0.55] recall 0.845 [1,0.8,0.9,0.95,0.75,0.9,0.7,0.95,1,0.5] recall 0.86 [1,0.8,1,0.95,0.8,0.9,0.65,0.95,0.95,0.6] recall 0.855 [1,0.8,1,1,0.85,0.9,0.35,1,1,0.65] recall 0.82 [1,0.85,0.95,0.95,0.7,0.95,0.55,0.85,0.9,0.5] relative_absolute_error 0.15000000000000024 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.11666666666666682 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.20000000000000032 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 0.16431676725154987 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.1449137674618944 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.1897366596101028 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.48304589153964833 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6324555320336763 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 332.6046310030506 usercpu_time_millis 331.04498499596957 usercpu_time_millis 325.6857379965368 usercpu_time_millis 330.39197500329465 usercpu_time_millis 315.27966399880825 usercpu_time_millis 312.8336779991514 usercpu_time_millis 313.6544600056368 usercpu_time_millis 321.81446900358424 usercpu_time_millis 323.6271819914691 usercpu_time_millis 324.38413300405955 usercpu_time_millis_testing 33.882907999213785 usercpu_time_millis_testing 33.90607999608619 usercpu_time_millis_testing 33.83550199941965 usercpu_time_millis_testing 34.84839700104203 usercpu_time_millis_testing 31.716202000097837 usercpu_time_millis_testing 31.7969039970194 usercpu_time_millis_testing 32.3821800047881 usercpu_time_millis_testing 32.10473299986916 usercpu_time_millis_testing 33.65515299810795 usercpu_time_millis_testing 33.347827004035935 usercpu_time_millis_training 298.7217230038368 usercpu_time_millis_training 297.1389049998834 usercpu_time_millis_training 291.8502359971171 usercpu_time_millis_training 295.5435780022526 usercpu_time_millis_training 283.5634619987104 usercpu_time_millis_training 281.036774002132 usercpu_time_millis_training 281.2722800008487 usercpu_time_millis_training 289.7097360037151 usercpu_time_millis_training 289.97202899336116 usercpu_time_millis_training 291.0363060000236 wall_clock_time_millis 332.64660835266113 wall_clock_time_millis 331.0849666595459 wall_clock_time_millis 373.80123138427734 wall_clock_time_millis 330.4901123046875 wall_clock_time_millis 347.3048210144043 wall_clock_time_millis 312.87145614624023 wall_clock_time_millis 313.69709968566895 wall_clock_time_millis 321.8553066253662 wall_clock_time_millis 359.68685150146484 wall_clock_time_millis 324.4669437408447 wall_clock_time_millis_testing 33.89716148376465 wall_clock_time_millis_testing 33.92195701599121 wall_clock_time_millis_testing 65.84763526916504 wall_clock_time_millis_testing 34.862518310546875 wall_clock_time_millis_testing 31.731367111206055 wall_clock_time_millis_testing 31.810760498046875 wall_clock_time_millis_testing 32.398223876953125 wall_clock_time_millis_testing 32.1192741394043 wall_clock_time_millis_testing 33.67114067077637 wall_clock_time_millis_testing 33.36167335510254 wall_clock_time_millis_training 298.7494468688965 wall_clock_time_millis_training 297.1630096435547 wall_clock_time_millis_training 307.9535961151123 wall_clock_time_millis_training 295.6275939941406 wall_clock_time_millis_training 315.57345390319824 wall_clock_time_millis_training 281.06069564819336 wall_clock_time_millis_training 281.2988758087158 wall_clock_time_millis_training 289.7360324859619 wall_clock_time_millis_training 326.0157108306885 wall_clock_time_millis_training 291.1052703857422