10372981 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) 8228323 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 10488.294804194422 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.009425411398948558 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 58857 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 21667667 description https://api.openml.org/data/download/21667667/description.xml -1 21667668 predictions https://api.openml.org/data/download/21667668/predictions.arff area_under_roc_curve 0.9138888888888888 [0.9975,0.893056,0.978333,0.950278,0.913889,0.967222,0.750556,0.949722,0.986389,0.751944] average_cost 0 f_measure 0.8452447499697654 [0.997494,0.8,0.964824,0.912281,0.861538,0.944724,0.552764,0.890511,0.977444,0.550868] kappa 0.8277777777777777 kb_relative_information_score 0.8379075889631011 mean_absolute_error 0.03100000000000017 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8457770873067036 [1,0.790244,0.969697,0.914573,0.884211,0.949495,0.555556,0.867299,0.979899,0.546798] predictive_accuracy 0.845 prior_entropy 3.3219280948872383 recall 0.845 [0.995,0.81,0.96,0.91,0.84,0.94,0.55,0.915,0.975,0.555] relative_absolute_error 0.17222222222221784 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17606816861659058 root_relative_squared_error 0.5868938953886262 total_cost 0 area_under_roc_curve 0.9249999999999998 [0.975,0.930556,0.997222,0.95,0.938889,0.975,0.783333,0.894444,0.997222,0.808333] area_under_roc_curve 0.9000000000000001 [1,0.861111,0.975,0.891667,0.888889,0.947222,0.725,0.963889,0.975,0.772222] area_under_roc_curve 0.9166666666666667 [1,0.933333,1,0.919444,0.963889,0.972222,0.75,0.897222,1,0.730556] area_under_roc_curve 0.9472222222222223 [1,0.919444,0.975,0.991667,0.997222,0.975,0.880556,0.947222,0.975,0.811111] area_under_roc_curve 0.8916666666666667 [1,0.836111,0.95,0.941667,0.894444,0.916667,0.672222,0.963889,1,0.741667] area_under_roc_curve 0.9166666666666665 [1,0.916667,0.972222,0.894444,0.897222,0.994444,0.772222,0.994444,1,0.725] area_under_roc_curve 0.9166666666666667 [1,0.891667,0.95,0.966667,0.894444,0.969444,0.822222,0.991667,0.997222,0.683333] area_under_roc_curve 0.9277777777777777 [1,0.891667,0.997222,1,0.894444,0.975,0.783333,0.938889,0.972222,0.825] area_under_roc_curve 0.9194444444444444 [1,0.894444,1,0.997222,0.925,0.975,0.633333,0.988889,1,0.780556] area_under_roc_curve 0.8777777777777779 [1,0.855556,0.966667,0.95,0.844444,0.972222,0.683333,0.916667,0.947222,0.641667] 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 0.8644799616301542 [0.974359,0.8,0.97561,0.947368,0.857143,0.974359,0.631579,0.842105,0.97561,0.666667] f_measure 0.8210277706789334 [1,0.75,0.974359,0.820513,0.8,0.923077,0.512821,0.883721,0.974359,0.571429] f_measure 0.8479103025614654 [1,0.818182,1,0.871795,0.883721,0.95,0.55,0.864865,1,0.540541] f_measure 0.9052187605013231 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.744186,0.923077,0.974359,0.684211] f_measure 0.8051872651435299 [1,0.717949,0.947368,0.878049,0.842105,0.85,0.421053,0.883721,1,0.511628] f_measure 0.8495981117033747 [1,0.85,0.95,0.842105,0.864865,0.952381,0.571429,0.952381,1,0.512821] f_measure 0.8454371863672783 [1,0.820513,0.947368,0.904762,0.842105,0.926829,0.636364,0.930233,0.97561,0.470588] f_measure 0.8702471409336203 [1,0.820513,0.97561,1,0.842105,0.974359,0.631579,0.857143,0.95,0.651163] f_measure 0.8525696066522217 [1,0.842105,1,0.97561,0.918919,0.974359,0.375,0.909091,1,0.530612] f_measure 0.7835336009020218 [1,0.714286,0.904762,0.947368,0.777778,0.95,0.409091,0.85,0.923077,0.358974] kappa 0.85 kappa 0.7999999999999999 kappa 0.8333333333333333 kappa 0.8944444444444445 kappa 0.7833333333333334 kappa 0.8333333333333333 kappa 0.8333333333333333 kappa 0.8555555555555555 kappa 0.8388888888888889 kappa 0.7555555555555555 kb_relative_information_score 0.8588227387743107 kb_relative_information_score 0.811763651699081 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.9006530383967372 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8640515262271141 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.7699333520766547 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.019000000000000006 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.030000000000000013 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 0.8682709804815066 [1,0.72,0.952381,1,0.818182,1,0.666667,0.888889,0.952381,0.684211] precision 0.8237330975660494 [1,0.75,1,0.842105,0.8,0.947368,0.526316,0.826087,1,0.545455] precision 0.8500235563332885 [1,0.75,1,0.894737,0.826087,0.95,0.55,0.941176,1,0.588235] precision 0.9081925829065418 [1,0.894737,1,0.869565,0.952381,1,0.695652,0.947368,1,0.722222] precision 0.8081666121826305 [1,0.736842,1,0.857143,0.888889,0.85,0.444444,0.826087,1,0.478261] precision 0.8520017512587171 [1,0.85,0.95,0.888889,0.941176,0.909091,0.545455,0.909091,1,0.526316] precision 0.8476100494979213 [1,0.842105,1,0.863636,0.888889,0.904762,0.583333,0.869565,0.952381,0.571429] precision 0.8726919241450133 [1,0.842105,0.952381,1,0.888889,1,0.666667,0.818182,0.95,0.608696] precision 0.862287903667214 [1,0.888889,1,0.952381,1,1,0.5,0.833333,1,0.448276] precision 0.7911244019138757 [1,0.681818,0.863636,1,0.875,0.95,0.375,0.85,0.947368,0.368421] predictive_accuracy 0.865 predictive_accuracy 0.82 predictive_accuracy 0.85 predictive_accuracy 0.905 predictive_accuracy 0.805 predictive_accuracy 0.85 predictive_accuracy 0.85 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 0.865 [0.95,0.9,1,0.9,0.9,0.95,0.6,0.8,1,0.65] recall 0.82 [1,0.75,0.95,0.8,0.8,0.9,0.5,0.95,0.95,0.6] recall 0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.8,1,0.5] recall 0.905 [1,0.85,0.95,1,1,0.95,0.8,0.9,0.95,0.65] recall 0.805 [1,0.7,0.9,0.9,0.8,0.85,0.4,0.95,1,0.55] recall 0.85 [1,0.85,0.95,0.8,0.8,1,0.6,1,1,0.5] recall 0.85 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.4] recall 0.87 [1,0.8,1,1,0.8,0.95,0.6,0.9,0.95,0.7] recall 0.855 [1,0.8,1,1,0.85,0.95,0.3,1,1,0.65] recall 0.78 [1,0.75,0.95,0.9,0.7,0.95,0.45,0.85,0.9,0.35] relative_absolute_error 0.15000000000000024 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.10555555555555571 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.16666666666666693 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 0.16431676725154987 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.13784048752090225 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.16124515496597103 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.20976176963403032 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.4594682917363411 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.5773502691896262 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 570.3164719998313 usercpu_time_millis 561.9628329986881 usercpu_time_millis 564.868239001953 usercpu_time_millis 575.9390479979629 usercpu_time_millis 552.8067109989934 usercpu_time_millis 566.4821550017223 usercpu_time_millis 573.5306559981836 usercpu_time_millis 568.0954199997359 usercpu_time_millis 405.3497969980526 usercpu_time_millis 401.5347259955888 usercpu_time_millis_testing 55.196571000124095 usercpu_time_millis_testing 55.169355000543874 usercpu_time_millis_testing 55.841984001745004 usercpu_time_millis_testing 54.96484899776988 usercpu_time_millis_testing 54.672285998094594 usercpu_time_millis_testing 55.21490500177606 usercpu_time_millis_testing 55.59265799820423 usercpu_time_millis_testing 53.66473100002622 usercpu_time_millis_testing 36.08550299759372 usercpu_time_millis_testing 36.42631099864957 usercpu_time_millis_training 515.1199009997072 usercpu_time_millis_training 506.7934779981442 usercpu_time_millis_training 509.02625500020804 usercpu_time_millis_training 520.974199000193 usercpu_time_millis_training 498.1344250008988 usercpu_time_millis_training 511.2672499999462 usercpu_time_millis_training 517.9379979999794 usercpu_time_millis_training 514.4306889997097 usercpu_time_millis_training 369.2642940004589 usercpu_time_millis_training 365.10841499693925 wall_clock_time_millis 570.3556537628174 wall_clock_time_millis 562.0071887969971 wall_clock_time_millis 564.9673938751221 wall_clock_time_millis 575.9749412536621 wall_clock_time_millis 553.0390739440918 wall_clock_time_millis 566.6770935058594 wall_clock_time_millis 573.7173557281494 wall_clock_time_millis 568.3455467224121 wall_clock_time_millis 405.3645133972168 wall_clock_time_millis 401.5514850616455 wall_clock_time_millis_testing 55.207252502441406 wall_clock_time_millis_testing 55.18007278442383 wall_clock_time_millis_testing 55.92918395996094 wall_clock_time_millis_testing 54.97550964355469 wall_clock_time_millis_testing 54.682016372680664 wall_clock_time_millis_testing 55.22489547729492 wall_clock_time_millis_testing 55.60111999511719 wall_clock_time_millis_testing 53.67422103881836 wall_clock_time_millis_testing 36.09156608581543 wall_clock_time_millis_testing 36.432743072509766 wall_clock_time_millis_training 515.148401260376 wall_clock_time_millis_training 506.82711601257324 wall_clock_time_millis_training 509.03820991516113 wall_clock_time_millis_training 520.9994316101074 wall_clock_time_millis_training 498.35705757141113 wall_clock_time_millis_training 511.45219802856445 wall_clock_time_millis_training 518.1162357330322 wall_clock_time_millis_training 514.6713256835938 wall_clock_time_millis_training 369.27294731140137 wall_clock_time_millis_training 365.11874198913574