10327013 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) 8182681 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 2579.7977095992815 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.44052506445029493 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.12147277677876417 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 52847 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 21575712 description https://api.openml.org/data/download/21575712/description.xml -1 21575713 predictions https://api.openml.org/data/download/21575713/predictions.arff area_under_roc_curve 0.8527777777777779 [0.8525,0.8225,0.8625,0.857222,0.8775,0.901111,0.8,0.865,0.854722,0.834722] average_cost 0 f_measure 0.7850629424454272 [0.826979,0.784195,0.84058,0.831395,0.860399,0.879781,0.75,0.843931,0.433369,0.8] kappa 0.7055555555555556 kb_relative_information_score 0.7228742650014328 mean_absolute_error 0.053000000000000484 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.923215283911117 [1,1,1,0.993056,1,0.96988,1,1,0.276625,0.992593] predictive_accuracy 0.735 prior_entropy 3.3219280948872383 recall 0.735 [0.705,0.645,0.725,0.715,0.755,0.805,0.6,0.73,1,0.67] relative_absolute_error 0.29444444444443807 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2302172886644278 root_relative_squared_error 0.7673909622147477 total_cost 0 area_under_roc_curve 0.8444444444444444 [0.875,0.75,0.9,0.775,0.925,0.975,0.75,0.775,0.844444,0.875] area_under_roc_curve 0.8583333333333334 [0.825,0.775,0.825,0.9,0.85,0.872222,0.925,0.9,0.861111,0.85] area_under_roc_curve 0.85 [0.725,0.825,0.85,0.825,0.925,0.944444,0.825,0.85,0.855556,0.875] area_under_roc_curve 0.8611111111111112 [0.85,0.85,0.9,0.85,0.85,0.85,0.875,0.875,0.861111,0.85] area_under_roc_curve 0.8416666666666667 [0.85,0.825,0.85,0.875,0.875,0.969444,0.775,0.775,0.85,0.772222] area_under_roc_curve 0.8305555555555556 [0.875,0.95,0.9,0.8,0.75,0.875,0.7,0.875,0.830556,0.75] area_under_roc_curve 0.825 [0.875,0.75,0.775,0.875,0.85,0.8,0.775,0.875,0.825,0.85] area_under_roc_curve 0.9027777777777777 [0.85,0.875,0.875,0.925,0.95,0.9,0.875,0.975,0.902778,0.9] area_under_roc_curve 0.8694444444444446 [0.9,0.775,0.875,0.922222,0.875,0.9,0.775,0.95,0.872222,0.85] area_under_roc_curve 0.8444444444444444 [0.9,0.85,0.875,0.825,0.925,0.925,0.725,0.8,0.844444,0.775] 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 0.7665807335162174 [0.857143,0.666667,0.888889,0.709677,0.918919,0.974359,0.666667,0.709677,0.416667,0.857143] f_measure 0.79069682931163 [0.787879,0.709677,0.787879,0.888889,0.823529,0.833333,0.918919,0.888889,0.444444,0.823529] f_measure 0.7742229227095617 [0.62069,0.787879,0.823529,0.787879,0.918919,0.9,0.787879,0.823529,0.434783,0.857143] f_measure 0.7988795518207281 [0.823529,0.823529,0.888889,0.823529,0.823529,0.823529,0.857143,0.857143,0.444444,0.823529] f_measure 0.760843934758989 [0.823529,0.787879,0.823529,0.857143,0.857143,0.926829,0.709677,0.709677,0.425532,0.6875] f_measure 0.7458487390092392 [0.857143,0.947368,0.888889,0.75,0.666667,0.857143,0.571429,0.857143,0.39604,0.666667] f_measure 0.7442858414897434 [0.857143,0.666667,0.709677,0.857143,0.823529,0.75,0.709677,0.857143,0.38835,0.823529] f_measure 0.8546715408634911 [0.823529,0.857143,0.857143,0.918919,0.947368,0.888889,0.857143,0.974359,0.533333,0.888889] f_measure 0.8042169284765537 [0.888889,0.709677,0.857143,0.894737,0.857143,0.888889,0.709677,0.947368,0.465116,0.823529] f_measure 0.7692311524706997 [0.888889,0.823529,0.857143,0.787879,0.918919,0.918919,0.62069,0.75,0.416667,0.709677] kappa 0.6888888888888889 kappa 0.7166666666666667 kappa 0.7 kappa 0.7222222222222222 kappa 0.6833333333333333 kappa 0.6611111111111111 kappa 0.65 kappa 0.8055555555555555 kappa 0.7388888888888889 kappa 0.6888888888888889 kb_relative_information_score 0.707187902643014 kb_relative_information_score 0.7333318399070309 kb_relative_information_score 0.7176454775486207 kb_relative_information_score 0.7385606273598343 kb_relative_information_score 0.7019591151902105 kb_relative_information_score 0.6810439653789969 kb_relative_information_score 0.6705863904733903 kb_relative_information_score 0.8169924391518844 kb_relative_information_score 0.7542469897182446 kb_relative_information_score 0.707187902643014 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.053999999999999965 mean_absolute_error 0.04999999999999998 mean_absolute_error 0.05699999999999996 mean_absolute_error 0.06099999999999994 mean_absolute_error 0.06299999999999993 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.05599999999999996 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 0.9263157894736842 [1,1,1,1,1,1,1,1,0.263158,1] precision 0.9223214285714286 [1,1,1,1,1,0.9375,1,1,0.285714,1] precision 0.9177777777777777 [1,1,1,1,1,0.9,1,1,0.277778,1] precision 0.9285714285714286 [1,1,1,1,1,1,1,1,0.285714,1] precision 0.9091698841698843 [1,1,1,1,1,0.904762,1,1,0.27027,0.916667] precision 0.9246913580246914 [1,1,1,1,1,1,1,1,0.246914,1] precision 0.9240963855421687 [1,1,1,1,1,1,1,1,0.240964,1] precision 0.9363636363636364 [1,1,1,1,1,1,1,1,0.363636,1] precision 0.9247474747474748 [1,1,1,0.944444,1,1,1,1,0.30303,1] precision 0.9263157894736842 [1,1,1,1,1,1,1,1,0.263158,1] predictive_accuracy 0.72 predictive_accuracy 0.745 predictive_accuracy 0.73 predictive_accuracy 0.75 predictive_accuracy 0.715 predictive_accuracy 0.695 predictive_accuracy 0.685 predictive_accuracy 0.825 predictive_accuracy 0.765 predictive_accuracy 0.72 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 0.72 [0.75,0.5,0.8,0.55,0.85,0.95,0.5,0.55,1,0.75] recall 0.745 [0.65,0.55,0.65,0.8,0.7,0.75,0.85,0.8,1,0.7] recall 0.73 [0.45,0.65,0.7,0.65,0.85,0.9,0.65,0.7,1,0.75] recall 0.75 [0.7,0.7,0.8,0.7,0.7,0.7,0.75,0.75,1,0.7] recall 0.715 [0.7,0.65,0.7,0.75,0.75,0.95,0.55,0.55,1,0.55] recall 0.695 [0.75,0.9,0.8,0.6,0.5,0.75,0.4,0.75,1,0.5] recall 0.685 [0.75,0.5,0.55,0.75,0.7,0.6,0.55,0.75,1,0.7] recall 0.825 [0.7,0.75,0.75,0.85,0.9,0.8,0.75,0.95,1,0.8] recall 0.765 [0.8,0.55,0.75,0.85,0.75,0.8,0.55,0.9,1,0.7] recall 0.72 [0.8,0.7,0.75,0.65,0.85,0.85,0.45,0.6,1,0.55] relative_absolute_error 0.3111111111111112 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.30000000000000016 relative_absolute_error 0.277777777777778 relative_absolute_error 0.31666666666666676 relative_absolute_error 0.3388888888888889 relative_absolute_error 0.35 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.3111111111111112 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 0.23664319132398456 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.23237900077244494 root_mean_squared_error 0.22360679774997894 root_mean_squared_error 0.23874672772626634 root_mean_squared_error 0.24698178070456928 root_mean_squared_error 0.25099800796022254 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.23664319132398456 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.7745966692414835 root_relative_squared_error 0.7453559924999302 root_relative_squared_error 0.7958224257542216 root_relative_squared_error 0.8232726023485647 root_relative_squared_error 0.8366600265340756 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.7888106377466158 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 1070.1662810024573 usercpu_time_millis 1064.7486329980893 usercpu_time_millis 1064.0878580015851 usercpu_time_millis 1067.9919059984968 usercpu_time_millis 1071.4622189989313 usercpu_time_millis 1067.1797349932604 usercpu_time_millis 1069.8666730022524 usercpu_time_millis 1068.790794997767 usercpu_time_millis 1067.0197080034995 usercpu_time_millis 1076.4103670007898 usercpu_time_millis_testing 56.52898600237677 usercpu_time_millis_testing 56.52971899689874 usercpu_time_millis_testing 56.158859995775856 usercpu_time_millis_testing 56.525558000430465 usercpu_time_millis_testing 56.78789500234416 usercpu_time_millis_testing 56.422992995067034 usercpu_time_millis_testing 55.95422199985478 usercpu_time_millis_testing 59.07794099766761 usercpu_time_millis_testing 56.1903470006655 usercpu_time_millis_testing 56.46204499498708 usercpu_time_millis_training 1013.6372950000805 usercpu_time_millis_training 1008.2189140011906 usercpu_time_millis_training 1007.9289980058093 usercpu_time_millis_training 1011.4663479980663 usercpu_time_millis_training 1014.6743239965872 usercpu_time_millis_training 1010.7567419981933 usercpu_time_millis_training 1013.9124510023976 usercpu_time_millis_training 1009.7128540000995 usercpu_time_millis_training 1010.829361002834 usercpu_time_millis_training 1019.9483220058028 wall_clock_time_millis 1378.2875537872314 wall_clock_time_millis 1064.9676322937012 wall_clock_time_millis 1128.204345703125 wall_clock_time_millis 1240.0908470153809 wall_clock_time_millis 1175.7097244262695 wall_clock_time_millis 1067.2717094421387 wall_clock_time_millis 1272.5229263305664 wall_clock_time_millis 1168.907880783081 wall_clock_time_millis 1267.1313285827637 wall_clock_time_millis 1248.4972476959229 wall_clock_time_millis_testing 56.54406547546387 wall_clock_time_millis_testing 56.54501914978027 wall_clock_time_millis_testing 56.17213249206543 wall_clock_time_millis_testing 100.53563117980957 wall_clock_time_millis_testing 72.80278205871582 wall_clock_time_millis_testing 56.43868446350098 wall_clock_time_millis_testing 55.96780776977539 wall_clock_time_millis_testing 91.09330177307129 wall_clock_time_millis_testing 56.20551109313965 wall_clock_time_millis_testing 80.47890663146973 wall_clock_time_millis_training 1321.7434883117676 wall_clock_time_millis_training 1008.4226131439209 wall_clock_time_millis_training 1072.0322132110596 wall_clock_time_millis_training 1139.5552158355713 wall_clock_time_millis_training 1102.9069423675537 wall_clock_time_millis_training 1010.8330249786377 wall_clock_time_millis_training 1216.555118560791 wall_clock_time_millis_training 1077.8145790100098 wall_clock_time_millis_training 1210.925817489624 wall_clock_time_millis_training 1168.0183410644531