10326814 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) 8182484 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 8543.388130486903 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.8306449462396814 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 53589 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 21575314 description https://api.openml.org/data/download/21575314/description.xml -1 21575315 predictions https://api.openml.org/data/download/21575315/predictions.arff area_under_roc_curve 0.5272222222222221 [0.6225,0.539444,0.525833,0.506111,0.506111,0.51,0.51,0.5125,0.5325,0.507222] average_cost 0 f_measure 0.12799820931258984 [0.393574,0.146789,0.184113,0.138408,0.138408,0.039216,0.039216,0.04878,0.122066,0.029412] kappa 0.05444444444444443 kb_relative_information_score 0.1100603755328701 mean_absolute_error 0.1701999999999946 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6958637208637208 [1,0.888889,0.108108,0.10582,0.10582,1,1,1,1,0.75] predictive_accuracy 0.149 prior_entropy 3.3219280948872383 recall 0.149 [0.245,0.08,0.62,0.2,0.2,0.02,0.02,0.025,0.065,0.015] relative_absolute_error 0.9455555555554964 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.41255302689471884 root_relative_squared_error 1.3751767563157082 total_cost 0 area_under_roc_curve 0.5277777777777778 [0.6,0.547222,0.530556,0.5,0.5,0.525,0.525,0.5,0.55,0.5] area_under_roc_curve 0.5194444444444444 [0.575,0.5,0.519444,0.5,0.5,0.5,0.525,0.55,0.525,0.5] area_under_roc_curve 0.5222222222222223 [0.575,0.597222,0.525,0.5,0.5,0.525,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5277777777777778 [0.65,0.525,0.5,0.5,0.530556,0.525,0.5,0.525,0.5,0.522222] area_under_roc_curve 0.5277777777777778 [0.575,0.575,0.5,0.527778,0.5,0.525,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5305555555555556 [0.675,0.55,0.55,0.5,0.530556,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5277777777777778 [0.6,0.55,0.527778,0.5,0.5,0.5,0.5,0.525,0.525,0.55] area_under_roc_curve 0.5277777777777778 [0.65,0.525,0.527778,0.5,0.5,0.5,0.525,0.525,0.525,0.5] area_under_roc_curve 0.5333333333333333 [0.65,0.525,0.55,0.533333,0.5,0.5,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5277777777777778 [0.675,0.5,0.527778,0.5,0.5,0.5,0.525,0.5,0.55,0.5] 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 kappa 0.05555555555555554 kappa 0.03888888888888889 kappa 0.04444444444444445 kappa 0.05555555555555554 kappa 0.05555555555555554 kappa 0.0611111111111111 kappa 0.05555555555555554 kappa 0.05555555555555554 kappa 0.06666666666666667 kappa 0.05555555555555554 kb_relative_information_score 0.1111061330234275 kb_relative_information_score 0.09541977066501633 kb_relative_information_score 0.10064855811782072 kb_relative_information_score 0.1111061330234268 kb_relative_information_score 0.11110613302342703 kb_relative_information_score 0.11633492047623023 kb_relative_information_score 0.11110613302342737 kb_relative_information_score 0.11110613302342737 kb_relative_information_score 0.12156370792903383 kb_relative_information_score 0.11110613302342723 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.17299999999999977 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.16799999999999968 mean_absolute_error 0.1699999999999997 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] predictive_accuracy 0.15 predictive_accuracy 0.135 predictive_accuracy 0.14 predictive_accuracy 0.15 predictive_accuracy 0.15 predictive_accuracy 0.155 predictive_accuracy 0.15 predictive_accuracy 0.15 predictive_accuracy 0.16 predictive_accuracy 0.15 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 0.15 [0.2,0.1,1,0,0,0.05,0.05,0,0.1,0] recall 0.135 [0.15,0,1,0,0,0,0.05,0.1,0.05,0] recall 0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0] recall 0.15 [0.3,0.05,0,0,1,0.05,0,0.05,0,0.05] recall 0.15 [0.15,0.15,0,1,0,0.05,0,0,0.15,0] recall 0.155 [0.35,0.1,0.1,0,1,0,0,0,0,0] recall 0.15 [0.2,0.1,1,0,0,0,0,0.05,0.05,0.1] recall 0.15 [0.3,0.05,1,0,0,0,0.05,0.05,0.05,0] recall 0.16 [0.3,0.05,0.1,1,0,0,0,0,0.15,0] recall 0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0] relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9611111111111108 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9333333333333326 relative_absolute_error 0.9444444444444439 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 0.4123105625617657 root_mean_squared_error 0.41593268686170815 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.4098780306383835 root_mean_squared_error 0.4123105625617657 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.386442289539028 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.3662601021279457 root_relative_squared_error 1.374368541872553 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 1191.324639999948 usercpu_time_millis 1156.330910998804 usercpu_time_millis 1173.1805809977232 usercpu_time_millis 1155.3892489973805 usercpu_time_millis 1172.6911720033968 usercpu_time_millis 1178.853909004829 usercpu_time_millis 1156.79725100199 usercpu_time_millis 1164.9951969957328 usercpu_time_millis 1181.6933119989699 usercpu_time_millis 1162.5479499998619 usercpu_time_millis_testing 65.18771900300635 usercpu_time_millis_testing 64.73696100147208 usercpu_time_millis_testing 64.24899600096978 usercpu_time_millis_testing 64.3802170015988 usercpu_time_millis_testing 65.05215499782935 usercpu_time_millis_testing 64.46120000327937 usercpu_time_millis_testing 64.35735800187103 usercpu_time_millis_testing 63.88222999521531 usercpu_time_millis_testing 64.7637579968432 usercpu_time_millis_testing 64.3057549968944 usercpu_time_millis_training 1126.1369209969416 usercpu_time_millis_training 1091.593949997332 usercpu_time_millis_training 1108.9315849967534 usercpu_time_millis_training 1091.0090319957817 usercpu_time_millis_training 1107.6390170055674 usercpu_time_millis_training 1114.3927090015495 usercpu_time_millis_training 1092.439893000119 usercpu_time_millis_training 1101.1129670005175 usercpu_time_millis_training 1116.9295540021267 usercpu_time_millis_training 1098.2421950029675 wall_clock_time_millis 1215.440034866333 wall_clock_time_millis 1332.5111865997314 wall_clock_time_millis 1269.299030303955 wall_clock_time_millis 1299.621343612671 wall_clock_time_millis 1292.8142547607422 wall_clock_time_millis 1327.0797729492188 wall_clock_time_millis 1201.2534141540527 wall_clock_time_millis 1313.3325576782227 wall_clock_time_millis 1405.8985710144043 wall_clock_time_millis 1238.7864589691162 wall_clock_time_millis_testing 65.21987915039062 wall_clock_time_millis_testing 128.74984741210938 wall_clock_time_millis_testing 64.26548957824707 wall_clock_time_millis_testing 64.39566612243652 wall_clock_time_millis_testing 65.06824493408203 wall_clock_time_millis_testing 64.47696685791016 wall_clock_time_millis_testing 64.39208984375 wall_clock_time_millis_testing 63.91310691833496 wall_clock_time_millis_testing 80.78169822692871 wall_clock_time_millis_testing 64.36038017272949 wall_clock_time_millis_training 1150.2201557159424 wall_clock_time_millis_training 1203.761339187622 wall_clock_time_millis_training 1205.033540725708 wall_clock_time_millis_training 1235.2256774902344 wall_clock_time_millis_training 1227.7460098266602 wall_clock_time_millis_training 1262.6028060913086 wall_clock_time_millis_training 1136.8613243103027 wall_clock_time_millis_training 1249.4194507598877 wall_clock_time_millis_training 1325.1168727874756 wall_clock_time_millis_training 1174.4260787963867