10327008 8323 Heinrich Peters 16 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182676 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 117.86696136619535 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.4928250097564246 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.21199007562798622 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 32227 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. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 21575702 description https://api.openml.org/data/download/21575702/description.xml -1 21575703 predictions https://api.openml.org/data/download/21575703/predictions.arff area_under_roc_curve 0.6744444444444443 [0.7675,0.6625,0.6775,0.625,0.72,0.545,0.63,0.75,0.674722,0.692222] average_cost 0 f_measure 0.47758052161558623 [0.697068,0.490566,0.523985,0.4,0.611111,0.165138,0.412698,0.666667,0.254615,0.553957] kappa 0.3488888888888888 kb_relative_information_score 0.38718611053145424 mean_absolute_error 0.11719999999999761 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9133058407675476 [1,1,1,1,1,1,1,1,0.145879,0.987179] predictive_accuracy 0.414 prior_entropy 3.3219280948872383 recall 0.414 [0.535,0.325,0.355,0.25,0.44,0.09,0.26,0.5,1,0.385] relative_absolute_error 0.6511111111110778 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3423448553724703 root_relative_squared_error 1.1411495179082167 total_cost 0 area_under_roc_curve 0.6805555555555556 [0.75,0.7,0.65,0.6,0.875,0.575,0.575,0.725,0.680556,0.675] area_under_roc_curve 0.6972222222222223 [0.775,0.625,0.775,0.625,0.675,0.5,0.8,0.775,0.697222,0.725] area_under_roc_curve 0.6583333333333334 [0.7,0.6,0.75,0.55,0.75,0.575,0.65,0.675,0.658333,0.675] area_under_roc_curve 0.6833333333333335 [0.825,0.675,0.65,0.575,0.675,0.575,0.675,0.8,0.683333,0.7] area_under_roc_curve 0.6833333333333335 [0.775,0.7,0.65,0.75,0.7,0.65,0.575,0.7,0.683333,0.65] area_under_roc_curve 0.65 [0.8,0.775,0.6,0.625,0.625,0.525,0.575,0.725,0.65,0.6] area_under_roc_curve 0.675 [0.725,0.675,0.65,0.625,0.7,0.525,0.55,0.85,0.675,0.775] area_under_roc_curve 0.7027777777777778 [0.75,0.675,0.75,0.575,0.75,0.525,0.725,0.825,0.705556,0.747222] area_under_roc_curve 0.65 [0.8,0.55,0.625,0.725,0.65,0.5,0.575,0.725,0.65,0.7] area_under_roc_curve 0.6638888888888889 [0.775,0.65,0.675,0.6,0.8,0.5,0.6,0.7,0.663889,0.675] 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 0.48091217103646366 [0.666667,0.571429,0.461538,0.333333,0.857143,0.26087,0.26087,0.62069,0.258065,0.518519] f_measure 0.44247572567124444 [0.571429,0.333333,0.666667,0.181818,0.666667,0.26087,0.461538,0.518519,0.245399,0.518519] f_measure 0.4907880766576419 [0.787879,0.518519,0.461538,0.26087,0.518519,0.26087,0.518519,0.75,0.25974,0.571429] f_measure 0.49958550098802557 [0.709677,0.571429,0.461538,0.666667,0.571429,0.461538,0.26087,0.571429,0.25974,0.461538] f_measure 0.4144105257071093 [0.75,0.709677,0.333333,0.4,0.4,0.095238,0.26087,0.62069,0.240964,0.333333] f_measure 0.46372153848974806 [0.62069,0.518519,0.461538,0.4,0.571429,0.095238,0.181818,0.823529,0.254777,0.709677] f_measure 0.5202328515087514 [0.666667,0.518519,0.666667,0.26087,0.666667,0.095238,0.62069,0.787879,0.273973,0.645161] kappa 0.36111111111111105 kappa 0.39444444444444443 kappa 0.3166666666666667 kappa 0.36666666666666664 kappa 0.36666666666666664 kappa 0.3 kappa 0.3499999999999999 kappa 0.40555555555555556 kappa 0.3 kappa 0.32777777777777783 kb_relative_information_score 0.3986894429276137 kb_relative_information_score 0.4300621676444338 kb_relative_information_score 0.35685914330518637 kb_relative_information_score 0.403918230380417 kb_relative_information_score 0.4039182303804171 kb_relative_information_score 0.3411727809467764 kb_relative_information_score 0.3882318680220068 kb_relative_information_score 0.44051974255004067 kb_relative_information_score 0.3411727809467762 kb_relative_information_score 0.36731671821079326 mean_absolute_error 0.11499999999999976 mean_absolute_error 0.10899999999999978 mean_absolute_error 0.12299999999999972 mean_absolute_error 0.11399999999999975 mean_absolute_error 0.11399999999999975 mean_absolute_error 0.12599999999999972 mean_absolute_error 0.11699999999999974 mean_absolute_error 0.10699999999999978 mean_absolute_error 0.12599999999999972 mean_absolute_error 0.12099999999999973 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 0.9148148148148149 [1,1,1,1,1,1,1,1,0.148148,1] precision 0.913986013986014 [1,1,1,1,1,1,1,1,0.13986,1] precision 0.9149253731343283 [1,1,1,1,1,1,1,1,0.149254,1] precision 0.9149253731343283 [1,1,1,1,1,1,1,1,0.149254,1] precision 0.9136986301369864 [1,1,1,1,1,1,1,1,0.136986,1] precision 0.9145985401459853 [1,1,1,1,1,1,1,1,0.145985,1] precision 0.9067821067821068 [1,1,1,1,1,1,1,1,0.15873,0.909091] predictive_accuracy 0.425 predictive_accuracy 0.455 predictive_accuracy 0.385 predictive_accuracy 0.43 predictive_accuracy 0.43 predictive_accuracy 0.37 predictive_accuracy 0.415 predictive_accuracy 0.465 predictive_accuracy 0.37 predictive_accuracy 0.395 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 0.425 [0.5,0.4,0.3,0.2,0.75,0.15,0.15,0.45,1,0.35] recall 0.455 [0.55,0.25,0.55,0.25,0.35,0,0.6,0.55,1,0.45] recall 0.385 [0.4,0.2,0.5,0.1,0.5,0.15,0.3,0.35,1,0.35] recall 0.43 [0.65,0.35,0.3,0.15,0.35,0.15,0.35,0.6,1,0.4] recall 0.43 [0.55,0.4,0.3,0.5,0.4,0.3,0.15,0.4,1,0.3] recall 0.37 [0.6,0.55,0.2,0.25,0.25,0.05,0.15,0.45,1,0.2] recall 0.415 [0.45,0.35,0.3,0.25,0.4,0.05,0.1,0.7,1,0.55] recall 0.465 [0.5,0.35,0.5,0.15,0.5,0.05,0.45,0.65,1,0.5] recall 0.37 [0.6,0.1,0.25,0.45,0.3,0,0.15,0.45,1,0.4] recall 0.395 [0.55,0.3,0.35,0.2,0.6,0,0.2,0.4,1,0.35] relative_absolute_error 0.6388888888888882 relative_absolute_error 0.605555555555555 relative_absolute_error 0.6833333333333326 relative_absolute_error 0.6333333333333326 relative_absolute_error 0.6333333333333326 relative_absolute_error 0.6999999999999993 relative_absolute_error 0.6499999999999992 relative_absolute_error 0.5944444444444439 relative_absolute_error 0.6999999999999993 relative_absolute_error 0.6722222222222214 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 0.3391164991562631 root_mean_squared_error 0.33015148038438324 root_mean_squared_error 0.35071355833500323 root_mean_squared_error 0.33763886032268225 root_mean_squared_error 0.33763886032268225 root_mean_squared_error 0.35496478698597655 root_mean_squared_error 0.342052627529741 root_mean_squared_error 0.32710854467592215 root_mean_squared_error 0.35496478698597655 root_mean_squared_error 0.34785054261852133 root_relative_squared_error 1.1303883305208775 root_relative_squared_error 1.1005049346146116 root_relative_squared_error 1.1690451944500113 root_relative_squared_error 1.1254628677422749 root_relative_squared_error 1.1254628677422749 root_relative_squared_error 1.1832159566199225 root_relative_squared_error 1.1401754250991374 root_relative_squared_error 1.0903618155864079 root_relative_squared_error 1.1832159566199225 root_relative_squared_error 1.159501808728405 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 1052.9695579971303 usercpu_time_millis 1046.5227559980121 usercpu_time_millis 1046.5822509941063 usercpu_time_millis 1052.8484809983638 usercpu_time_millis 1066.8224479959463 usercpu_time_millis 1058.0772969988175 usercpu_time_millis 1062.7204670017818 usercpu_time_millis 1055.681291007204 usercpu_time_millis 1055.5860360036604 usercpu_time_millis 1061.0333900040132 usercpu_time_millis_testing 56.35787500068545 usercpu_time_millis_testing 56.369480000284966 usercpu_time_millis_testing 56.33104499429464 usercpu_time_millis_testing 58.50667600316228 usercpu_time_millis_testing 56.91949199535884 usercpu_time_millis_testing 56.4082929995493 usercpu_time_millis_testing 58.45741499797441 usercpu_time_millis_testing 56.2511500029359 usercpu_time_millis_testing 56.39108800096437 usercpu_time_millis_testing 57.526839002093766 usercpu_time_millis_training 996.6116829964449 usercpu_time_millis_training 990.1532759977272 usercpu_time_millis_training 990.2512059998116 usercpu_time_millis_training 994.3418049952015 usercpu_time_millis_training 1009.9029560005874 usercpu_time_millis_training 1001.6690039992682 usercpu_time_millis_training 1004.2630520038074 usercpu_time_millis_training 999.4301410042681 usercpu_time_millis_training 999.194948002696 usercpu_time_millis_training 1003.5065510019194 wall_clock_time_millis 1301.077127456665 wall_clock_time_millis 1046.6101169586182 wall_clock_time_millis 1058.6762428283691 wall_clock_time_millis 1165.0707721710205 wall_clock_time_millis 1302.9539585113525 wall_clock_time_millis 1334.212303161621 wall_clock_time_millis 1218.9455032348633 wall_clock_time_millis 1303.8678169250488 wall_clock_time_millis 1071.75612449646 wall_clock_time_millis 1325.1619338989258 wall_clock_time_millis_testing 56.372880935668945 wall_clock_time_millis_testing 56.38384819030762 wall_clock_time_millis_testing 56.34784698486328 wall_clock_time_millis_testing 94.52652931213379 wall_clock_time_millis_testing 72.93987274169922 wall_clock_time_millis_testing 56.421518325805664 wall_clock_time_millis_testing 58.47334861755371 wall_clock_time_millis_testing 56.26654624938965 wall_clock_time_millis_testing 56.40530586242676 wall_clock_time_millis_testing 57.55352973937988 wall_clock_time_millis_training 1244.704246520996 wall_clock_time_millis_training 990.2262687683105 wall_clock_time_millis_training 1002.3283958435059 wall_clock_time_millis_training 1070.5442428588867 wall_clock_time_millis_training 1230.0140857696533 wall_clock_time_millis_training 1277.7907848358154 wall_clock_time_millis_training 1160.4721546173096 wall_clock_time_millis_training 1247.6012706756592 wall_clock_time_millis_training 1015.3508186340332 wall_clock_time_millis_training 1267.608404159546