10328510 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) 8184157 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 42.03453601523461 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8118391608567521 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.21044312628672723 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 39371 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 21578706 description https://api.openml.org/data/download/21578706/description.xml -1 21578707 predictions https://api.openml.org/data/download/21578707/predictions.arff area_under_roc_curve 0.6544444444444445 [0.8275,0.623333,0.7625,0.556667,0.655556,0.5325,0.562778,0.719722,0.74,0.563889] average_cost 0 f_measure 0.41376986984990954 [0.791541,0.390625,0.688525,0.201613,0.255814,0.122066,0.220472,0.595318,0.648649,0.223077] kappa 0.30888888888888894 kb_relative_information_score 0.3495388408712696 mean_absolute_error 0.12439999999999721 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7113993959406804 [1,0.892857,1,0.168919,0.151376,1,0.518519,0.89899,1,0.483333] predictive_accuracy 0.37799999999999995 prior_entropy 3.3219280948872383 recall 0.378 [0.655,0.25,0.525,0.25,0.825,0.065,0.14,0.445,0.48,0.145] relative_absolute_error 0.6911111111110744 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.352703841770964 root_relative_squared_error 1.1756794725698618 total_cost 0 area_under_roc_curve 0.65 [0.825,0.691667,0.75,0.55,0.663889,0.55,0.622222,0.675,0.65,0.522222] area_under_roc_curve 0.6861111111111111 [0.825,0.647222,0.825,0.522222,0.725,0.525,0.580556,0.797222,0.825,0.588889] area_under_roc_curve 0.6638888888888889 [0.775,0.722222,0.725,0.525,0.686111,0.525,0.569444,0.722222,0.825,0.563889] area_under_roc_curve 0.6583333333333333 [0.825,0.55,0.725,0.525,0.669444,0.625,0.622222,0.672222,0.775,0.594444] area_under_roc_curve 0.6361111111111111 [0.8,0.65,0.725,0.658333,0.597222,0.55,0.494444,0.666667,0.7,0.519444] area_under_roc_curve 0.65 [0.85,0.6,0.75,0.525,0.663889,0.525,0.541667,0.775,0.75,0.519444] area_under_roc_curve 0.6694444444444444 [0.85,0.65,0.825,0.55,0.691667,0.5,0.541667,0.694444,0.775,0.616667] area_under_roc_curve 0.6555555555555556 [0.825,0.65,0.75,0.547222,0.630556,0.5,0.613889,0.819444,0.625,0.594444] area_under_roc_curve 0.6444444444444444 [0.825,0.575,0.775,0.663889,0.569444,0.5,0.522222,0.675,0.775,0.563889] area_under_roc_curve 0.6305555555555555 [0.875,0.497222,0.775,0.5,0.658333,0.525,0.519444,0.7,0.7,0.555556] 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 0.40383395109902814 [0.787879,0.516129,0.666667,0.181818,0.248447,0.181818,0.384615,0.518519,0.461538,0.090909] f_measure 0.4553049307516703 [0.787879,0.444444,0.787879,0.090909,0.28777,0.095238,0.258065,0.727273,0.787879,0.285714] f_measure 0.4232382183601186 [0.709677,0.6,0.62069,0.095238,0.261438,0.095238,0.24,0.6,0.787879,0.222222] f_measure 0.4239182158814036 [0.787879,0.181818,0.62069,0.095238,0.251572,0.4,0.384615,0.5,0.709677,0.307692] f_measure 0.37044968313695614 [0.75,0.461538,0.62069,0.245399,0.32,0.181818,0,0.466667,0.571429,0.086957] f_measure 0.38857534149704764 [0.823529,0.333333,0.666667,0.095238,0.248447,0.095238,0.16,0.709677,0.666667,0.086957] kappa 0.3 kappa 0.3722222222222222 kappa 0.32777777777777783 kappa 0.3166666666666667 kappa 0.2722222222222222 kappa 0.3 kappa 0.33888888888888896 kappa 0.3111111111111111 kappa 0.2888888888888889 kappa 0.2611111111111111 kb_relative_information_score 0.3411727809467762 kb_relative_information_score 0.40914701783322033 kb_relative_information_score 0.3673167182107933 kb_relative_information_score 0.35685914330518637 kb_relative_information_score 0.3150288436827593 kb_relative_information_score 0.3411727809467762 kb_relative_information_score 0.37777429311639993 kb_relative_information_score 0.3516303558523831 kb_relative_information_score 0.3307152060411695 kb_relative_information_score 0.3045712687771524 mean_absolute_error 0.12599999999999972 mean_absolute_error 0.11299999999999975 mean_absolute_error 0.12099999999999973 mean_absolute_error 0.12299999999999972 mean_absolute_error 0.1309999999999997 mean_absolute_error 0.12599999999999972 mean_absolute_error 0.11899999999999973 mean_absolute_error 0.12399999999999972 mean_absolute_error 0.1279999999999997 mean_absolute_error 0.13299999999999967 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 0.8202450032237266 [1,0.727273,1,1,0.141844,1,0.833333,1,1,0.5] precision 0.7311923370746899 [1,0.857143,1,0.5,0.168067,1,0.363636,0.923077,1,0.5] precision 0.7978947368421053 [1,0.9,1,1,0.150376,1,0.6,0.9,1,0.428571] precision 0.8518884892086332 [1,1,1,1,0.143885,1,0.833333,0.875,1,0.666667] precision 0.6973193473193473 [1,1,1,0.13986,0.8,1,0,0.7,1,0.333333] precision 0.7875177304964539 [1,1,1,1,0.141844,1,0.4,1,1,0.333333] predictive_accuracy 0.37 predictive_accuracy 0.435 predictive_accuracy 0.395 predictive_accuracy 0.385 predictive_accuracy 0.345 predictive_accuracy 0.37 predictive_accuracy 0.405 predictive_accuracy 0.38 predictive_accuracy 0.36 predictive_accuracy 0.335 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 0.37 [0.65,0.4,0.5,0.1,1,0.1,0.25,0.35,0.3,0.05] recall 0.435 [0.65,0.3,0.65,0.05,1,0.05,0.2,0.6,0.65,0.2] recall 0.395 [0.55,0.45,0.45,0.05,1,0.05,0.15,0.45,0.65,0.15] recall 0.385 [0.65,0.1,0.45,0.05,1,0.25,0.25,0.35,0.55,0.2] recall 0.345 [0.6,0.3,0.45,1,0.2,0.1,0,0.35,0.4,0.05] recall 0.37 [0.7,0.2,0.5,0.05,1,0.05,0.1,0.55,0.5,0.05] recall 0.405 [0.7,0.3,0.65,0.1,1,0,0.1,0.4,0.55,0.25] recall 0.38 [0.65,0.3,0.5,0.1,0.9,0,0.25,0.65,0.25,0.2] recall 0.36 [0.65,0.15,0.55,1,0.15,0,0.05,0.35,0.55,0.15] recall 0.335 [0.75,0,0.55,0,1,0.05,0.05,0.4,0.4,0.15] relative_absolute_error 0.6999999999999993 relative_absolute_error 0.6277777777777771 relative_absolute_error 0.6722222222222214 relative_absolute_error 0.6833333333333326 relative_absolute_error 0.7277777777777769 relative_absolute_error 0.6999999999999993 relative_absolute_error 0.6611111111111104 relative_absolute_error 0.6888888888888881 relative_absolute_error 0.7111111111111103 relative_absolute_error 0.7388888888888878 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 0.35496478698597655 root_mean_squared_error 0.3361547262794319 root_mean_squared_error 0.34785054261852133 root_mean_squared_error 0.35071355833500323 root_mean_squared_error 0.36193922141707674 root_mean_squared_error 0.35496478698597655 root_mean_squared_error 0.3449637662132064 root_mean_squared_error 0.3521363372331798 root_mean_squared_error 0.3577708763999659 root_mean_squared_error 0.36469165057620895 root_relative_squared_error 1.1832159566199225 root_relative_squared_error 1.1205157542647737 root_relative_squared_error 1.159501808728405 root_relative_squared_error 1.1690451944500113 root_relative_squared_error 1.2064640713902566 root_relative_squared_error 1.1832159566199225 root_relative_squared_error 1.1498792207106887 root_relative_squared_error 1.1737877907772667 root_relative_squared_error 1.1925695879998872 root_relative_squared_error 1.2156388352540304 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 1195.619671001623 usercpu_time_millis 1190.9089150067302 usercpu_time_millis 1199.2010739995749 usercpu_time_millis 1218.3689090015832 usercpu_time_millis 1189.1055800078902 usercpu_time_millis 1194.9290219927207 usercpu_time_millis 1208.5239769949112 usercpu_time_millis 1210.095028996875 usercpu_time_millis 1197.334589996899 usercpu_time_millis 1188.6307079985272 usercpu_time_millis_testing 65.76183599827345 usercpu_time_millis_testing 64.53696600510739 usercpu_time_millis_testing 66.43673600046895 usercpu_time_millis_testing 63.91625499963993 usercpu_time_millis_testing 64.01450800331077 usercpu_time_millis_testing 65.13299099606229 usercpu_time_millis_testing 65.0373859971296 usercpu_time_millis_testing 65.10467999760294 usercpu_time_millis_testing 63.816591995419 usercpu_time_millis_testing 65.59687199478503 usercpu_time_millis_training 1129.8578350033495 usercpu_time_millis_training 1126.3719490016229 usercpu_time_millis_training 1132.764337999106 usercpu_time_millis_training 1154.4526540019433 usercpu_time_millis_training 1125.0910720045795 usercpu_time_millis_training 1129.7960309966584 usercpu_time_millis_training 1143.4865909977816 usercpu_time_millis_training 1144.990348999272 usercpu_time_millis_training 1133.51799800148 usercpu_time_millis_training 1123.0338360037422 wall_clock_time_millis 1403.8372039794922 wall_clock_time_millis 1219.1734313964844 wall_clock_time_millis 1379.4159889221191 wall_clock_time_millis 1378.509521484375 wall_clock_time_millis 1301.2607097625732 wall_clock_time_millis 1239.3097877502441 wall_clock_time_millis 1224.6429920196533 wall_clock_time_millis 1226.226568222046 wall_clock_time_millis 1425.492286682129 wall_clock_time_millis 1220.7372188568115 wall_clock_time_millis_testing 65.77849388122559 wall_clock_time_millis_testing 64.55278396606445 wall_clock_time_millis_testing 66.45417213439941 wall_clock_time_millis_testing 63.933610916137695 wall_clock_time_millis_testing 80.02972602844238 wall_clock_time_millis_testing 65.15049934387207 wall_clock_time_millis_testing 65.05274772644043 wall_clock_time_millis_testing 65.12212753295898 wall_clock_time_millis_testing 63.832759857177734 wall_clock_time_millis_testing 65.61422348022461 wall_clock_time_millis_training 1338.0587100982666 wall_clock_time_millis_training 1154.62064743042 wall_clock_time_millis_training 1312.9618167877197 wall_clock_time_millis_training 1314.5759105682373 wall_clock_time_millis_training 1221.2309837341309 wall_clock_time_millis_training 1174.159288406372 wall_clock_time_millis_training 1159.590244293213 wall_clock_time_millis_training 1161.104440689087 wall_clock_time_millis_training 1361.6595268249512 wall_clock_time_millis_training 1155.122995376587