10326858 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) 8182528 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 29.39864396838416 13389 cache_size 200 13389 class_weight null 13389 coef0 0.15746518290620926 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.013790382282982875 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 9464 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 21575402 description https://api.openml.org/data/download/21575402/description.xml -1 21575403 predictions https://api.openml.org/data/download/21575403/predictions.arff area_under_roc_curve 0.9133333333333333 [0.9975,0.894722,0.978333,0.955,0.916944,0.971944,0.734167,0.957778,0.988889,0.738056] average_cost 0 f_measure 0.8439193022897336 [0.997494,0.81203,0.964824,0.915423,0.868895,0.947631,0.523929,0.902913,0.98,0.526055] kappa 0.8266666666666667 kb_relative_information_score 0.8368618314725405 mean_absolute_error 0.031200000000000172 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8441556696562023 [1,0.81407,0.969697,0.910891,0.89418,0.945274,0.527919,0.877358,0.98,0.522167] predictive_accuracy 0.8440000000000001 prior_entropy 3.3219280948872383 recall 0.844 [0.995,0.81,0.96,0.92,0.845,0.95,0.52,0.93,0.98,0.53] relative_absolute_error 0.17333333333332895 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17663521732655743 root_relative_squared_error 0.5887840577551824 total_cost 0 area_under_roc_curve 0.9166666666666665 [0.975,0.930556,0.997222,0.95,0.941667,0.975,0.727778,0.894444,0.997222,0.777778] area_under_roc_curve 0.9027777777777777 [1,0.891667,0.975,0.941667,0.891667,0.947222,0.697222,0.963889,0.975,0.744444] area_under_roc_curve 0.9166666666666667 [1,0.936111,1,0.922222,0.963889,0.972222,0.747222,0.922222,1,0.702778] area_under_roc_curve 0.95 [1,0.919444,0.975,0.991667,0.997222,0.975,0.883333,0.947222,0.975,0.836111] area_under_roc_curve 0.8888888888888888 [1,0.833333,0.95,0.916667,0.897222,0.966667,0.647222,0.963889,1,0.713889] area_under_roc_curve 0.9194444444444443 [1,0.919444,0.972222,0.919444,0.894444,0.994444,0.772222,0.994444,1,0.727778] area_under_roc_curve 0.913888888888889 [1,0.866667,0.95,0.966667,0.894444,0.969444,0.8,0.988889,0.997222,0.705556] area_under_roc_curve 0.9277777777777777 [1,0.897222,0.997222,0.994444,0.894444,0.975,0.777778,0.966667,0.997222,0.777778] area_under_roc_curve 0.9194444444444443 [1,0.894444,1,0.997222,0.947222,0.975,0.608333,0.994444,1,0.777778] area_under_roc_curve 0.8777777777777779 [1,0.858333,0.966667,0.95,0.847222,0.969444,0.680556,0.941667,0.947222,0.616667] 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 0.8493775715085086 [0.974359,0.8,0.97561,0.947368,0.878049,0.974359,0.526316,0.842105,0.97561,0.6] f_measure 0.8259938208888862 [1,0.820513,0.974359,0.878049,0.820513,0.923077,0.461538,0.883721,0.974359,0.52381] f_measure 0.8483475769108811 [1,0.837209,1,0.894737,0.883721,0.95,0.536585,0.894737,1,0.486486] f_measure 0.9103644512039293 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.761905,0.923077,0.974359,0.717949] f_measure 0.7994210778360105 [1,0.7,0.947368,0.85,0.864865,0.904762,0.378378,0.883721,1,0.465116] f_measure 0.8538201272411798 [1,0.871795,0.95,0.871795,0.842105,0.952381,0.571429,0.952381,1,0.526316] f_measure 0.8414286825711729 [1,0.789474,0.947368,0.904762,0.842105,0.926829,0.619048,0.909091,0.97561,0.5] f_measure 0.8689691471719712 [1,0.864865,0.97561,0.952381,0.842105,0.974359,0.6,0.904762,0.97561,0.6] f_measure 0.8510112514233596 [1,0.842105,1,0.97561,0.923077,0.974359,0.322581,0.952381,1,0.52] f_measure 0.7827582088429328 [1,0.731707,0.904762,0.947368,0.8,0.926829,0.4,0.878049,0.923077,0.315789] kappa 0.8333333333333333 kappa 0.8055555555555555 kappa 0.8333333333333333 kappa 0.9 kappa 0.7777777777777778 kappa 0.8388888888888889 kappa 0.8277777777777777 kappa 0.8555555555555555 kappa 0.8388888888888889 kappa 0.7555555555555555 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.9058818258495406 kb_relative_information_score 0.7908485018878679 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.8379075889630976 kb_relative_information_score 0.8640515262271141 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.7699333520766547 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.018000000000000006 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.02600000000000001 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.044000000000000004 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 0.8526349206349205 [1,0.72,0.952381,1,0.857143,1,0.555556,0.888889,0.952381,0.6] precision 0.8288492971559333 [1,0.842105,1,0.857143,0.842105,0.947368,0.473684,0.826087,1,0.5] precision 0.850080582957821 [1,0.782609,1,0.944444,0.826087,0.95,0.52381,0.944444,1,0.529412] precision 0.9128166265466037 [1,0.894737,1,0.869565,0.952381,1,0.727273,0.947368,1,0.736842] precision 0.8027447105324343 [1,0.7,1,0.85,0.941176,0.863636,0.411765,0.826087,1,0.434783] precision 0.8547554492291334 [1,0.894737,0.95,0.894737,0.888889,0.909091,0.545455,0.909091,1,0.555556] precision 0.8429743867243866 [1,0.833333,1,0.863636,0.888889,0.904762,0.590909,0.833333,0.952381,0.5625] precision 0.8707554536966302 [1,0.941176,0.952381,0.909091,0.888889,1,0.6,0.863636,0.952381,0.6] precision 0.8585607959292169 [1,0.888889,1,0.952381,0.947368,1,0.454545,0.909091,1,0.433333] precision 0.7913861927546137 [1,0.714286,0.863636,1,0.933333,0.904762,0.36,0.857143,0.947368,0.333333] predictive_accuracy 0.85 predictive_accuracy 0.825 predictive_accuracy 0.85 predictive_accuracy 0.91 predictive_accuracy 0.8 predictive_accuracy 0.855 predictive_accuracy 0.845 predictive_accuracy 0.87 predictive_accuracy 0.855 predictive_accuracy 0.78 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 0.85 [0.95,0.9,1,0.9,0.9,0.95,0.5,0.8,1,0.6] recall 0.825 [1,0.8,0.95,0.9,0.8,0.9,0.45,0.95,0.95,0.55] recall 0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.85,1,0.45] recall 0.91 [1,0.85,0.95,1,1,0.95,0.8,0.9,0.95,0.7] recall 0.8 [1,0.7,0.9,0.85,0.8,0.95,0.35,0.95,1,0.5] recall 0.855 [1,0.85,0.95,0.85,0.8,1,0.6,1,1,0.5] recall 0.845 [1,0.75,0.9,0.95,0.8,0.95,0.65,1,1,0.45] recall 0.87 [1,0.8,1,1,0.8,0.95,0.6,0.95,1,0.6] recall 0.855 [1,0.8,1,1,0.9,0.95,0.25,1,1,0.65] recall 0.78 [1,0.75,0.95,0.9,0.7,0.95,0.45,0.9,0.9,0.3] relative_absolute_error 0.16666666666666693 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.10000000000000014 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.14444444444444465 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.24444444444444474 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 0.17320508075688776 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.1341640786499874 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.20976176963403032 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.44721359549995826 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5374838498865704 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6992058987801015 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 653.7755760000437 usercpu_time_millis 665.2064200025052 usercpu_time_millis 649.2975069995737 usercpu_time_millis 702.4839130026521 usercpu_time_millis 653.6425759913982 usercpu_time_millis 663.5903999995207 usercpu_time_millis 649.5720379971317 usercpu_time_millis 652.3299959953874 usercpu_time_millis 643.5954560001846 usercpu_time_millis 649.2567890018108 usercpu_time_millis_testing 49.95223299920326 usercpu_time_millis_testing 49.56783400120912 usercpu_time_millis_testing 48.87198399956105 usercpu_time_millis_testing 75.15947800129652 usercpu_time_millis_testing 49.74815999594284 usercpu_time_millis_testing 49.4265279994579 usercpu_time_millis_testing 49.017145996913314 usercpu_time_millis_testing 48.29281099955551 usercpu_time_millis_testing 48.18197400163626 usercpu_time_millis_testing 48.62357200181577 usercpu_time_millis_training 603.8233430008404 usercpu_time_millis_training 615.6385860012961 usercpu_time_millis_training 600.4255230000126 usercpu_time_millis_training 627.3244350013556 usercpu_time_millis_training 603.8944159954553 usercpu_time_millis_training 614.1638720000628 usercpu_time_millis_training 600.5548920002184 usercpu_time_millis_training 604.0371849958319 usercpu_time_millis_training 595.4134819985484 usercpu_time_millis_training 600.633216999995 wall_clock_time_millis 749.8490810394287 wall_clock_time_millis 745.2731132507324 wall_clock_time_millis 865.4248714447021 wall_clock_time_millis 758.636474609375 wall_clock_time_millis 733.7067127227783 wall_clock_time_millis 664.7462844848633 wall_clock_time_millis 681.6480159759521 wall_clock_time_millis 652.3926258087158 wall_clock_time_millis 643.6817646026611 wall_clock_time_millis 697.3202228546143 wall_clock_time_millis_testing 49.965858459472656 wall_clock_time_millis_testing 49.58486557006836 wall_clock_time_millis_testing 48.8886833190918 wall_clock_time_millis_testing 91.18080139160156 wall_clock_time_millis_testing 49.76248741149902 wall_clock_time_millis_testing 49.442291259765625 wall_clock_time_millis_testing 49.03411865234375 wall_clock_time_millis_testing 48.30765724182129 wall_clock_time_millis_testing 48.195600509643555 wall_clock_time_millis_testing 48.639774322509766 wall_clock_time_millis_training 699.883222579956 wall_clock_time_millis_training 695.6882476806641 wall_clock_time_millis_training 816.5361881256104 wall_clock_time_millis_training 667.4556732177734 wall_clock_time_millis_training 683.9442253112793 wall_clock_time_millis_training 615.3039932250977 wall_clock_time_millis_training 632.6138973236084 wall_clock_time_millis_training 604.0849685668945 wall_clock_time_millis_training 595.4861640930176 wall_clock_time_millis_training 648.6804485321045