10328593 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) 8184236 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 35.67606386717542 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.534873271170256 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 9.633796731664586e-06 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 2562 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 21578872 description https://api.openml.org/data/download/21578872/description.xml -1 21578873 predictions https://api.openml.org/data/download/21578873/predictions.arff area_under_roc_curve 0.8688888888888889 [0.98,0.850556,0.940278,0.87,0.814444,0.941944,0.655278,0.895,0.9825,0.758889] average_cost 0 f_measure 0.763775541653961 [0.979592,0.674107,0.901266,0.815217,0.72067,0.880196,0.410557,0.79902,0.94431,0.512821] kappa 0.7377777777777778 kb_relative_information_score 0.7532012322276909 mean_absolute_error 0.0472000000000004 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7735610237400276 [1,0.608871,0.912821,0.892857,0.816456,0.861244,0.496454,0.783654,0.915493,0.447761] predictive_accuracy 0.764 prior_entropy 3.3219280948872383 recall 0.764 [0.96,0.755,0.89,0.75,0.645,0.9,0.35,0.815,0.975,0.6] relative_absolute_error 0.26222222222221636 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.21725560982400524 root_relative_squared_error 0.7241853660800064 total_cost 0 area_under_roc_curve 0.8444444444444444 [0.95,0.891667,0.911111,0.872222,0.869444,0.972222,0.544444,0.813889,0.991667,0.627778] area_under_roc_curve 0.8694444444444445 [1,0.852778,0.941667,0.872222,0.772222,0.936111,0.702778,0.863889,0.969444,0.783333] area_under_roc_curve 0.8694444444444446 [0.95,0.883333,0.925,0.816667,0.886111,0.95,0.661111,0.866667,0.994444,0.761111] area_under_roc_curve 0.8916666666666666 [0.975,0.830556,0.975,0.919444,0.891667,0.966667,0.702778,0.863889,0.969444,0.822222] area_under_roc_curve 0.8583333333333333 [1,0.772222,0.897222,0.891667,0.763889,0.927778,0.658333,0.908333,1,0.763889] area_under_roc_curve 0.8777777777777775 [1,0.858333,0.994444,0.847222,0.813889,0.941667,0.652778,0.938889,0.997222,0.733333] area_under_roc_curve 0.886111111111111 [0.975,0.833333,0.922222,0.938889,0.769444,0.888889,0.741667,0.952778,0.994444,0.844444] area_under_roc_curve 0.8833333333333333 [0.975,0.875,0.919444,0.869444,0.769444,0.941667,0.730556,0.938889,0.994444,0.819444] area_under_roc_curve 0.8694444444444442 [0.975,0.844444,1,0.847222,0.791667,0.919444,0.588889,0.913889,0.994444,0.819444] area_under_roc_curve 0.8388888888888889 [1,0.863889,0.916667,0.825,0.816667,0.975,0.569444,0.888889,0.919444,0.613889] 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 0.7172501593000343 [0.947368,0.693878,0.809524,0.833333,0.810811,0.95,0.176471,0.702703,0.930233,0.318182] f_measure 0.7657979025427977 [1,0.697674,0.878049,0.833333,0.6875,0.837209,0.486486,0.769231,0.926829,0.541667] f_measure 0.7671305708996868 [0.947368,0.653846,0.918919,0.722222,0.780488,0.947368,0.4375,0.789474,0.952381,0.521739] f_measure 0.8047624535429412 [0.974359,0.682927,0.974359,0.871795,0.820513,0.904762,0.486486,0.769231,0.926829,0.636364] f_measure 0.741625981302422 [1,0.571429,0.864865,0.820513,0.628571,0.782609,0.424242,0.790698,1,0.533333] f_measure 0.7775853235450265 [1,0.731707,0.952381,0.8,0.702703,0.878049,0.4,0.857143,0.97561,0.478261] f_measure 0.791203145005667 [0.974359,0.7,0.894737,0.857143,0.666667,0.8,0.606061,0.808511,0.952381,0.652174] f_measure 0.7885077787516812 [0.974359,0.711111,0.871795,0.810811,0.666667,0.878049,0.540541,0.857143,0.952381,0.622222] f_measure 0.759686012114432 [0.974359,0.652174,1,0.8,0.685714,0.871795,0.285714,0.829268,0.952381,0.545455] f_measure 0.7173601795030368 [1,0.653061,0.85,0.787879,0.722222,0.974359,0.228571,0.8,0.871795,0.285714] kappa 0.6888888888888889 kappa 0.7388888888888889 kappa 0.7388888888888889 kappa 0.7833333333333334 kappa 0.7166666666666667 kappa 0.7555555555555555 kappa 0.7722222222222223 kappa 0.7666666666666667 kappa 0.7388888888888889 kappa 0.6777777777777777 kb_relative_information_score 0.707187902643014 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.7333318399070311 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.7803909269822613 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.6967303277374072 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.057999999999999954 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 0.7269010591152096 [1,0.586207,0.772727,0.9375,0.882353,0.95,0.214286,0.764706,0.869565,0.291667] precision 0.7834025200469203 [1,0.652174,0.857143,0.9375,0.916667,0.782609,0.529412,0.789474,0.904762,0.464286] precision 0.78929507992008 [1,0.53125,1,0.8125,0.761905,1,0.583333,0.833333,0.909091,0.461538] precision 0.8074125822577833 [1,0.666667,1,0.894737,0.842105,0.863636,0.529412,0.789474,0.904762,0.583333] precision 0.7511969278085847 [1,0.545455,0.941176,0.842105,0.733333,0.692308,0.538462,0.73913,1,0.48] precision 0.7838865056512114 [1,0.714286,0.909091,0.933333,0.764706,0.857143,0.466667,0.818182,0.952381,0.423077] precision 0.8067728567728568 [1,0.7,0.944444,0.818182,0.846154,0.8,0.769231,0.703704,0.909091,0.576923] precision 0.799589450796881 [1,0.64,0.894737,0.882353,0.846154,0.857143,0.588235,0.818182,0.909091,0.56] precision 0.7852179399547821 [1,0.576923,1,0.933333,0.8,0.894737,0.5,0.809524,0.909091,0.428571] precision 0.7417006957047793 [1,0.551724,0.85,1,0.8125,1,0.266667,0.8,0.894737,0.241379] predictive_accuracy 0.72 predictive_accuracy 0.765 predictive_accuracy 0.765 predictive_accuracy 0.805 predictive_accuracy 0.745 predictive_accuracy 0.78 predictive_accuracy 0.795 predictive_accuracy 0.79 predictive_accuracy 0.765 predictive_accuracy 0.71 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 0.72 [0.9,0.85,0.85,0.75,0.75,0.95,0.15,0.65,1,0.35] recall 0.765 [1,0.75,0.9,0.75,0.55,0.9,0.45,0.75,0.95,0.65] recall 0.765 [0.9,0.85,0.85,0.65,0.8,0.9,0.35,0.75,1,0.6] recall 0.805 [0.95,0.7,0.95,0.85,0.8,0.95,0.45,0.75,0.95,0.7] recall 0.745 [1,0.6,0.8,0.8,0.55,0.9,0.35,0.85,1,0.6] recall 0.78 [1,0.75,1,0.7,0.65,0.9,0.35,0.9,1,0.55] recall 0.795 [0.95,0.7,0.85,0.9,0.55,0.8,0.5,0.95,1,0.75] recall 0.79 [0.95,0.8,0.85,0.75,0.55,0.9,0.5,0.9,1,0.7] recall 0.765 [0.95,0.75,1,0.7,0.6,0.85,0.2,0.85,1,0.75] recall 0.71 [1,0.8,0.85,0.65,0.65,0.95,0.2,0.8,0.85,0.35] relative_absolute_error 0.3111111111111112 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.32222222222222235 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 0.23664319132398456 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.2408318915758458 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.8027729719194865 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 729.5078600000124 usercpu_time_millis 741.4654260064708 usercpu_time_millis 736.1229550006101 usercpu_time_millis 743.1100719913957 usercpu_time_millis 729.8212870009593 usercpu_time_millis 735.3036880012951 usercpu_time_millis 738.567240005068 usercpu_time_millis 739.6606690017506 usercpu_time_millis 734.7316169980331 usercpu_time_millis 743.0907410016516 usercpu_time_millis_testing 61.36991800303804 usercpu_time_millis_testing 60.438937005528715 usercpu_time_millis_testing 60.34054900374031 usercpu_time_millis_testing 63.7739289959427 usercpu_time_millis_testing 59.61121399741387 usercpu_time_millis_testing 59.17144100385485 usercpu_time_millis_testing 59.41567700210726 usercpu_time_millis_testing 59.162355995795224 usercpu_time_millis_testing 58.91519800206879 usercpu_time_millis_testing 61.91451899940148 usercpu_time_millis_training 668.1379419969744 usercpu_time_millis_training 681.0264890009421 usercpu_time_millis_training 675.7824059968698 usercpu_time_millis_training 679.336142995453 usercpu_time_millis_training 670.2100730035454 usercpu_time_millis_training 676.1322469974402 usercpu_time_millis_training 679.1515630029608 usercpu_time_millis_training 680.4983130059554 usercpu_time_millis_training 675.8164189959643 usercpu_time_millis_training 681.1762220022501 wall_clock_time_millis 813.6391639709473 wall_clock_time_millis 953.5582065582275 wall_clock_time_millis 836.2414836883545 wall_clock_time_millis 743.1790828704834 wall_clock_time_millis 773.9028930664062 wall_clock_time_millis 1051.368236541748 wall_clock_time_millis 750.6768703460693 wall_clock_time_millis 907.7873229980469 wall_clock_time_millis 890.8021450042725 wall_clock_time_millis 807.1739673614502 wall_clock_time_millis_testing 61.387062072753906 wall_clock_time_millis_testing 108.44779014587402 wall_clock_time_millis_testing 108.36100578308105 wall_clock_time_millis_testing 63.790321350097656 wall_clock_time_millis_testing 103.62815856933594 wall_clock_time_millis_testing 59.18741226196289 wall_clock_time_millis_testing 59.4327449798584 wall_clock_time_millis_testing 59.17716026306152 wall_clock_time_millis_testing 58.93135070800781 wall_clock_time_millis_testing 61.930179595947266 wall_clock_time_millis_training 752.2521018981934 wall_clock_time_millis_training 845.1104164123535 wall_clock_time_millis_training 727.8804779052734 wall_clock_time_millis_training 679.3887615203857 wall_clock_time_millis_training 670.2747344970703 wall_clock_time_millis_training 992.1808242797852 wall_clock_time_millis_training 691.2441253662109 wall_clock_time_millis_training 848.6101627349854 wall_clock_time_millis_training 831.8707942962646 wall_clock_time_millis_training 745.2437877655029