10326757 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) 8182427 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 1678.2157612503731 13389 cache_size 200 13389 class_weight null 13389 coef0 0.576914940889014 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.009054249724169287 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 20800 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 21575200 description https://api.openml.org/data/download/21575200/description.xml -1 21575201 predictions https://api.openml.org/data/download/21575201/predictions.arff area_under_roc_curve 0.9141666666666667 [0.9975,0.893056,0.978333,0.950278,0.913889,0.967222,0.750833,0.949722,0.986389,0.754444] average_cost 0 f_measure 0.845742681107901 [0.997494,0.8,0.964824,0.912281,0.861538,0.944724,0.554156,0.890511,0.977444,0.554455] kappa 0.8283333333333334 kb_relative_information_score 0.8384304677083813 mean_absolute_error 0.03090000000000017 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8462812530315733 [1,0.790244,0.969697,0.914573,0.884211,0.949495,0.558376,0.867299,0.979899,0.54902] predictive_accuracy 0.8454999999999999 prior_entropy 3.3219280948872383 recall 0.8455 [0.995,0.81,0.96,0.91,0.84,0.94,0.55,0.915,0.975,0.56] relative_absolute_error 0.17166666666666233 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17578395831246993 root_relative_squared_error 0.5859465277082241 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 0.8972222222222223 [1,0.861111,0.975,0.891667,0.888889,0.947222,0.7,0.963889,0.975,0.769444] 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 0.9194444444444444 [1,0.916667,0.972222,0.894444,0.897222,0.994444,0.775,0.994444,1,0.75] 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 0.9305555555555555 [1,0.891667,0.997222,1,0.894444,0.975,0.808333,0.938889,0.972222,0.827778] 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 0.8157852367950287 [1,0.75,0.974359,0.820513,0.8,0.923077,0.473684,0.883721,0.974359,0.55814] 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 0.85470978864432 [1,0.85,0.95,0.842105,0.864865,0.952381,0.585366,0.952381,1,0.55] 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 0.8753063004603442 [1,0.820513,0.97561,1,0.842105,0.974359,0.666667,0.857143,0.95,0.666667] 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 0.7944444444444444 kappa 0.8333333333333333 kappa 0.8944444444444445 kappa 0.7833333333333334 kappa 0.8388888888888889 kappa 0.8333333333333333 kappa 0.8611111111111112 kappa 0.8388888888888889 kappa 0.7555555555555555 kb_relative_information_score 0.8588227387743107 kb_relative_information_score 0.8065348642462777 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.9006530383967372 kb_relative_information_score 0.7960772893406711 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.8431363764159009 kb_relative_information_score 0.8692803136799173 kb_relative_information_score 0.8483651638687042 kb_relative_information_score 0.7699333520766547 mean_absolute_error 0.02700000000000001 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.019000000000000006 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.02500000000000001 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 0.8187299771167048 [1,0.75,1,0.842105,0.8,0.947368,0.5,0.826087,1,0.521739] 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 0.8569675749087513 [1,0.85,0.95,0.888889,0.941176,0.909091,0.571429,0.909091,1,0.55] precision 0.8476100494979213 [1,0.842105,1,0.863636,0.888889,0.904762,0.583333,0.869565,0.952381,0.571429] precision 0.877213108528898 [1,0.842105,0.952381,1,0.888889,1,0.684211,0.818182,0.95,0.636364] 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 0.815 predictive_accuracy 0.85 predictive_accuracy 0.905 predictive_accuracy 0.805 predictive_accuracy 0.855 predictive_accuracy 0.85 predictive_accuracy 0.875 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 0.815 [1,0.75,0.95,0.8,0.8,0.9,0.45,0.95,0.95,0.6] 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 0.855 [1,0.85,0.95,0.8,0.8,1,0.6,1,1,0.55] recall 0.85 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.4] recall 0.875 [1,0.8,1,1,0.8,0.95,0.65,0.9,0.95,0.7] 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 0.20555555555555588 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.10555555555555571 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.1388888888888891 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 0.19235384061671348 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.13784048752090225 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.158113883008419 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.20976176963403032 root_relative_squared_error 0.5477225575051665 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.4594682917363411 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.5270462766947304 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 490.74129200016614 usercpu_time_millis 498.5441499884473 usercpu_time_millis 490.18707699724473 usercpu_time_millis 491.8738010019297 usercpu_time_millis 498.52519600244705 usercpu_time_millis 497.4857159977546 usercpu_time_millis 500.51330200221855 usercpu_time_millis 497.41778199677356 usercpu_time_millis 499.64694699883694 usercpu_time_millis 491.2285689933924 usercpu_time_millis_testing 45.882831000199076 usercpu_time_millis_testing 46.15254499367438 usercpu_time_millis_testing 46.110747003694996 usercpu_time_millis_testing 45.68783200375037 usercpu_time_millis_testing 45.66268000053242 usercpu_time_millis_testing 46.215228001528885 usercpu_time_millis_testing 46.43327699886868 usercpu_time_millis_testing 45.58107299817493 usercpu_time_millis_testing 45.733136001217645 usercpu_time_millis_testing 46.02645900013158 usercpu_time_millis_training 444.85846099996706 usercpu_time_millis_training 452.39160499477293 usercpu_time_millis_training 444.07632999354973 usercpu_time_millis_training 446.1859689981793 usercpu_time_millis_training 452.8625160019146 usercpu_time_millis_training 451.2704879962257 usercpu_time_millis_training 454.0800250033499 usercpu_time_millis_training 451.8367089985986 usercpu_time_millis_training 453.9138109976193 usercpu_time_millis_training 445.2021099932608 wall_clock_time_millis 491.5728569030762 wall_clock_time_millis 529.6406745910645 wall_clock_time_millis 490.386962890625 wall_clock_time_millis 492.1135902404785 wall_clock_time_millis 498.7452030181885 wall_clock_time_millis 497.71666526794434 wall_clock_time_millis 500.72407722473145 wall_clock_time_millis 497.65658378601074 wall_clock_time_millis 499.8452663421631 wall_clock_time_millis 491.4686679840088 wall_clock_time_millis_testing 45.91798782348633 wall_clock_time_millis_testing 46.49782180786133 wall_clock_time_millis_testing 46.124935150146484 wall_clock_time_millis_testing 45.72939872741699 wall_clock_time_millis_testing 45.69602012634277 wall_clock_time_millis_testing 46.29182815551758 wall_clock_time_millis_testing 46.4475154876709 wall_clock_time_millis_testing 45.595645904541016 wall_clock_time_millis_testing 45.74847221374512 wall_clock_time_millis_testing 46.06175422668457 wall_clock_time_millis_training 445.65486907958984 wall_clock_time_millis_training 483.1428527832031 wall_clock_time_millis_training 444.2620277404785 wall_clock_time_millis_training 446.3841915130615 wall_clock_time_millis_training 453.0491828918457 wall_clock_time_millis_training 451.42483711242676 wall_clock_time_millis_training 454.27656173706055 wall_clock_time_millis_training 452.0609378814697 wall_clock_time_millis_training 454.09679412841797 wall_clock_time_millis_training 445.4069137573242