10327093 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) 8182761 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 2919.7665961619327 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 6.688334308406325 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 4466 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 21575872 description https://api.openml.org/data/download/21575872/description.xml -1 21575873 predictions https://api.openml.org/data/download/21575873/predictions.arff area_under_roc_curve 0.5366666666666667 [0.550278,0.51,0.579167,0.5275,0.505,0.51,0.51,0.51,0.634444,0.530278] average_cost 0 f_measure 0.11324242309701613 [0.190931,0.039216,0.255738,0.135048,0.019802,0.039216,0.039216,0.039216,0.234508,0.139535] kappa 0.07333333333333333 kb_relative_information_score 0.1278382528724017 mean_absolute_error 0.1667999999999948 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6084658600443231 [0.182648,1,0.371429,0.189189,1,1,1,1,0.133472,0.207921] predictive_accuracy 0.166 prior_entropy 3.3219280948872383 recall 0.166 [0.2,0.02,0.195,0.105,0.01,0.02,0.02,0.02,0.965,0.105] relative_absolute_error 0.9266666666666094 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4084115571332364 root_relative_squared_error 1.3613718571107671 total_cost 0 area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.5,0.5,0.5,0.525,0.525,0.5,0.508333,0.5] area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.5,0.5,0.5,0.5,0.525,0.525,0.508333,0.5] area_under_roc_curve 0.5583333333333333 [0.5,0.5,0.877778,0.5,0.525,0.525,0.5,0.5,0.655556,0.5] area_under_roc_curve 0.5638888888888889 [0.772222,0.5,0.5,0.5,0.5,0.525,0.5,0.525,0.791667,0.525] area_under_roc_curve 0.5472222222222222 [0.730556,0.5,0.5,0.525,0.5,0.525,0.5,0.5,0.691667,0.5] area_under_roc_curve 0.5027777777777778 [0.5,0.525,0.5,0.5,0.5,0.5,0.5,0.5,0.502778,0.5] area_under_roc_curve 0.5583333333333333 [0.5,0.525,0.5,0.5,0.5,0.5,0.5,0.525,0.755556,0.777778] area_under_roc_curve 0.5611111111111111 [0.5,0.5,0.913889,0.5,0.525,0.5,0.525,0.525,0.622222,0.5] area_under_roc_curve 0.5555555555555556 [0.5,0.5,0.5,0.75,0.5,0.5,0.5,0.5,0.805556,0.5] area_under_roc_curve 0.5027777777777778 [0.5,0.5,0.5,0.5,0.5,0.5,0.525,0.5,0.502778,0.5] 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 0.016666666666666666 kappa 0.016666666666666666 kappa 0.11666666666666664 kappa 0.12777777777777777 kappa 0.09444444444444443 kappa 0.005555555555555545 kappa 0.11666666666666664 kappa 0.1222222222222222 kappa 0.11111111111111112 kappa 0.005555555555555545 kb_relative_information_score 0.07450462085380231 kb_relative_information_score 0.07450462085380233 kb_relative_information_score 0.16862279500426391 kb_relative_information_score 0.179080369909871 kb_relative_information_score 0.14770764519305063 kb_relative_information_score 0.06404704594819556 kb_relative_information_score 0.168622795004264 kb_relative_information_score 0.17385158245706747 kb_relative_information_score 0.1633940075514609 kb_relative_information_score 0.06404704594819556 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.15899999999999959 mean_absolute_error 0.1569999999999996 mean_absolute_error 0.16299999999999962 mean_absolute_error 0.17899999999999985 mean_absolute_error 0.15899999999999959 mean_absolute_error 0.15799999999999959 mean_absolute_error 0.1599999999999996 mean_absolute_error 0.17899999999999985 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 0.115 predictive_accuracy 0.115 predictive_accuracy 0.205 predictive_accuracy 0.215 predictive_accuracy 0.185 predictive_accuracy 0.105 predictive_accuracy 0.205 predictive_accuracy 0.21 predictive_accuracy 0.2 predictive_accuracy 0.105 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 0.115 [0,0.05,0,0,0,0.05,0.05,0,1,0] recall 0.115 [0,0.05,0,0,0,0,0.05,0.05,1,0] recall 0.205 [0,0,0.95,0,0.05,0.05,0,0,1,0] recall 0.215 [1,0,0,0,0,0.05,0,0.05,1,0.05] recall 0.185 [1,0,0,0.05,0,0.05,0,0,0.75,0] recall 0.105 [0,0.05,0,0,0,0,0,0,1,0] recall 0.205 [0,0.05,0,0,0,0,0,0.05,0.95,1] recall 0.21 [0,0,1,0,0.05,0,0.05,0.05,0.95,0] recall 0.2 [0,0,0,1,0,0,0,0,1,0] recall 0.105 [0,0,0,0,0,0,0.05,0,1,0] relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.883333333333332 relative_absolute_error 0.8722222222222211 relative_absolute_error 0.9055555555555544 relative_absolute_error 0.9944444444444447 relative_absolute_error 0.883333333333332 relative_absolute_error 0.8777777777777764 relative_absolute_error 0.8888888888888876 relative_absolute_error 0.9944444444444447 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 0.42071367935925236 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.3987480407475372 root_mean_squared_error 0.3962322551231785 root_mean_squared_error 0.40373258476372653 root_mean_squared_error 0.42308391602612344 root_mean_squared_error 0.3987480407475372 root_mean_squared_error 0.3974921382870353 root_mean_squared_error 0.39999999999999947 root_mean_squared_error 0.42308391602612344 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.329160135825125 root_relative_squared_error 1.3207741837439293 root_relative_squared_error 1.3457752825457558 root_relative_squared_error 1.4102797200870791 root_relative_squared_error 1.329160135825125 root_relative_squared_error 1.3249737942901183 root_relative_squared_error 1.3333333333333324 root_relative_squared_error 1.4102797200870791 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 1101.5800340028363 usercpu_time_millis 1099.1942260079668 usercpu_time_millis 1102.887405999354 usercpu_time_millis 1079.9005340013537 usercpu_time_millis 1088.5676459947717 usercpu_time_millis 1116.2821010002517 usercpu_time_millis 1112.0874140033266 usercpu_time_millis 1191.2697540101362 usercpu_time_millis 1167.3188589993515 usercpu_time_millis 1081.0352839980624 usercpu_time_millis_testing 72.88026800233638 usercpu_time_millis_testing 71.41832200431963 usercpu_time_millis_testing 69.19884600210935 usercpu_time_millis_testing 71.06223799928557 usercpu_time_millis_testing 70.24012699548621 usercpu_time_millis_testing 72.86639499943703 usercpu_time_millis_testing 70.72414499998558 usercpu_time_millis_testing 77.89117200445617 usercpu_time_millis_testing 68.75083799968706 usercpu_time_millis_testing 69.26311599818291 usercpu_time_millis_training 1028.6997660005 usercpu_time_millis_training 1027.7759040036472 usercpu_time_millis_training 1033.6885599972447 usercpu_time_millis_training 1008.8382960020681 usercpu_time_millis_training 1018.3275189992855 usercpu_time_millis_training 1043.4157060008147 usercpu_time_millis_training 1041.363269003341 usercpu_time_millis_training 1113.37858200568 usercpu_time_millis_training 1098.5680209996644 usercpu_time_millis_training 1011.7721679998795 wall_clock_time_millis 1213.670253753662 wall_clock_time_millis 1099.3025302886963 wall_clock_time_millis 1230.9985160827637 wall_clock_time_millis 1228.0488014221191 wall_clock_time_millis 1168.6811447143555 wall_clock_time_millis 1204.866647720337 wall_clock_time_millis 1176.4638423919678 wall_clock_time_millis 1191.3714408874512 wall_clock_time_millis 1167.4368381500244 wall_clock_time_millis 1265.1383876800537 wall_clock_time_millis_testing 152.86898612976074 wall_clock_time_millis_testing 71.43473625183105 wall_clock_time_millis_testing 69.2138671875 wall_clock_time_millis_testing 111.083984375 wall_clock_time_millis_testing 78.25684547424316 wall_clock_time_millis_testing 72.9212760925293 wall_clock_time_millis_testing 70.74117660522461 wall_clock_time_millis_testing 77.90899276733398 wall_clock_time_millis_testing 68.76659393310547 wall_clock_time_millis_testing 109.28106307983398 wall_clock_time_millis_training 1060.8012676239014 wall_clock_time_millis_training 1027.8677940368652 wall_clock_time_millis_training 1161.7846488952637 wall_clock_time_millis_training 1116.9648170471191 wall_clock_time_millis_training 1090.4242992401123 wall_clock_time_millis_training 1131.9453716278076 wall_clock_time_millis_training 1105.7226657867432 wall_clock_time_millis_training 1113.4624481201172 wall_clock_time_millis_training 1098.670244216919 wall_clock_time_millis_training 1155.8573246002197