10326890 8323 Heinrich Peters 9981 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182560 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 501.5744284574111 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6985159993759883 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.18598884343194927 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 37354 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. 1468 cnae-9 https://www.openml.org/data/download/1586233/phpmcGu2X -1 21575466 description https://api.openml.org/data/download/21575466/description.xml -1 21575467 predictions https://api.openml.org/data/download/21575467/predictions.arff area_under_roc_curve 0.6046875 [0.629167,0.610938,0.55,0.586979,0.632812,0.573438,0.613542,0.666146,0.579167] average_cost 0 f_measure 0.3265424246099687 [0.410596,0.243161,0.181818,0.295775,0.418301,0.255319,0.363636,0.496894,0.273381] kappa 0.209375 kb_relative_information_score 0.25954955966769494 mean_absolute_error 0.15617283950617541 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.8576591948606463 [1,0.138408,1,0.954545,0.969697,0.857143,0.823529,0.97561,1] predictive_accuracy 0.2972222222222222 prior_entropy 3.1699250014422624 recall 0.2972222222222222 [0.258333,1,0.1,0.175,0.266667,0.15,0.233333,0.333333,0.158333] relative_absolute_error 0.7906250000000326 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.3951870943061975 root_relative_squared_error 1.257477633995955 total_cost 0 area_under_roc_curve 0.625 [0.583333,0.640625,0.541667,0.583333,0.75,0.619792,0.65625,0.666667,0.583333] area_under_roc_curve 0.578125 [0.625,0.583333,0.583333,0.5,0.583333,0.541667,0.536458,0.708333,0.541667] area_under_roc_curve 0.59375 [0.541667,0.59375,0.541667,0.541667,0.666667,0.583333,0.541667,0.75,0.583333] area_under_roc_curve 0.6197916666666666 [0.583333,0.619792,0.541667,0.583333,0.75,0.541667,0.666667,0.708333,0.583333] area_under_roc_curve 0.5989583333333334 [0.625,0.604167,0.5,0.583333,0.661458,0.5,0.666667,0.708333,0.541667] area_under_roc_curve 0.609375 [0.708333,0.619792,0.583333,0.536458,0.583333,0.619792,0.625,0.625,0.583333] area_under_roc_curve 0.6145833333333334 [0.625,0.614583,0.541667,0.708333,0.541667,0.583333,0.666667,0.625,0.625] area_under_roc_curve 0.578125 [0.666667,0.588542,0.541667,0.625,0.625,0.536458,0.541667,0.536458,0.541667] area_under_roc_curve 0.6197916666666666 [0.75,0.630208,0.541667,0.625,0.625,0.583333,0.572917,0.625,0.625] area_under_roc_curve 0.609375 [0.583333,0.614583,0.583333,0.583333,0.541667,0.625,0.661458,0.708333,0.583333] 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 0.36168495980323945 [0.285714,0.258065,0.153846,0.285714,0.666667,0.375,0.444444,0.5,0.285714] f_measure 0.2876415523474347 [0.153846,0.235294,0.153846,0.153846,0.5,0.285714,0.153846,0.666667,0.285714] f_measure 0.35190664511465 [0.285714,0.247423,0.153846,0.285714,0.666667,0.153846,0.5,0.588235,0.285714] f_measure 0.3345175527255576 [0.588235,0.247423,0.285714,0.142857,0.285714,0.375,0.4,0.4,0.285714] f_measure 0.34739331630087933 [0.4,0.244898,0.153846,0.588235,0.153846,0.285714,0.5,0.4,0.4] f_measure 0.253362495110068 [0.5,0.23301,0.153846,0.4,0.4,0.142857,0.153846,0.142857,0.153846] f_measure 0.3565398539082749 [0.666667,0.252632,0.153846,0.4,0.4,0.285714,0.25,0.4,0.4] f_measure 0.33338053169985954 [0.285714,0.244898,0.285714,0.285714,0.153846,0.4,0.470588,0.588235,0.285714] kappa 0.25 kappa 0.15625000000000003 kappa 0.18750000000000003 kappa 0.23958333333333334 kappa 0.19791666666666669 kappa 0.21875000000000006 kappa 0.22916666666666669 kappa 0.15625000000000003 kappa 0.23958333333333334 kappa 0.21875000000000006 kb_relative_information_score 0.2975964202381232 kb_relative_information_score 0.20979597276788925 kb_relative_information_score 0.2390627885913006 kb_relative_information_score 0.2878408149636527 kb_relative_information_score 0.24881839386577093 kb_relative_information_score 0.2683296044147119 kb_relative_information_score 0.2780852096891822 kb_relative_information_score 0.2097959727678893 kb_relative_information_score 0.28784081496365277 kb_relative_information_score 0.2683296044147116 mean_absolute_error 0.1481481481481479 mean_absolute_error 0.16666666666666638 mean_absolute_error 0.16049382716049354 mean_absolute_error 0.1502057613168722 mean_absolute_error 0.15843621399176927 mean_absolute_error 0.15432098765432073 mean_absolute_error 0.15226337448559646 mean_absolute_error 0.16666666666666638 mean_absolute_error 0.1502057613168722 mean_absolute_error 0.15432098765432073 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] precision 0.8405349794238682 [1,0.148148,1,1,1,0.75,0.666667,1,1] precision 0.9037037037037037 [1,0.133333,1,1,1,1,1,1,1] precision 0.9045751633986927 [1,0.141176,1,1,1,1,1,1,1] precision 0.8212418300653594 [1,0.141176,1,0.5,1,0.75,1,1,1] precision 0.9043927648578811 [1,0.139535,1,1,1,1,1,1,1] precision 0.7924297924297924 [1,0.131868,1,1,1,0.5,1,0.5,1] precision 0.8493975903614457 [1,0.144578,1,1,1,1,0.5,1,1] precision 0.882170542635659 [1,0.139535,1,1,1,1,0.8,1,1] predictive_accuracy 0.33333333333333337 predictive_accuracy 0.25 predictive_accuracy 0.2777777777777778 predictive_accuracy 0.32407407407407407 predictive_accuracy 0.28703703703703703 predictive_accuracy 0.3055555555555556 predictive_accuracy 0.3148148148148148 predictive_accuracy 0.25 predictive_accuracy 0.32407407407407407 predictive_accuracy 0.3055555555555556 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 recall 0.3333333333333333 [0.166667,1,0.083333,0.166667,0.5,0.25,0.333333,0.333333,0.166667] recall 0.25 [0.25,1,0.166667,0,0.166667,0.083333,0.083333,0.416667,0.083333] recall 0.2777777777777778 [0.083333,1,0.083333,0.083333,0.333333,0.166667,0.083333,0.5,0.166667] recall 0.32407407407407407 [0.166667,1,0.083333,0.166667,0.5,0.083333,0.333333,0.416667,0.166667] recall 0.28703703703703703 [0.25,1,0,0.166667,0.333333,0,0.333333,0.416667,0.083333] recall 0.3055555555555556 [0.416667,1,0.166667,0.083333,0.166667,0.25,0.25,0.25,0.166667] recall 0.3148148148148148 [0.25,1,0.083333,0.416667,0.083333,0.166667,0.333333,0.25,0.25] recall 0.25 [0.333333,1,0.083333,0.25,0.25,0.083333,0.083333,0.083333,0.083333] recall 0.32407407407407407 [0.5,1,0.083333,0.25,0.25,0.166667,0.166667,0.25,0.25] recall 0.3055555555555556 [0.166667,1,0.166667,0.166667,0.083333,0.25,0.333333,0.416667,0.166667] relative_absolute_error 0.7499999999999966 relative_absolute_error 0.8437499999999963 relative_absolute_error 0.8124999999999963 relative_absolute_error 0.7604166666666634 relative_absolute_error 0.8020833333333297 relative_absolute_error 0.7812499999999966 relative_absolute_error 0.7708333333333299 relative_absolute_error 0.8437499999999963 relative_absolute_error 0.7604166666666634 relative_absolute_error 0.7812499999999966 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_squared_error 0.3849001794597502 root_mean_squared_error 0.4082482904638627 root_mean_squared_error 0.40061680838488734 root_mean_squared_error 0.3875638803047469 root_mean_squared_error 0.39804046778156776 root_mean_squared_error 0.39283710065919275 root_mean_squared_error 0.39020939825380485 root_mean_squared_error 0.4082482904638627 root_mean_squared_error 0.3875638803047469 root_mean_squared_error 0.39283710065919275 root_relative_squared_error 1.2247448713915865 root_relative_squared_error 1.2990381056766551 root_relative_squared_error 1.2747548783981935 root_relative_squared_error 1.233220715579059 root_relative_squared_error 1.2665570127975525 root_relative_squared_error 1.2499999999999973 root_relative_squared_error 1.2416387021459423 root_relative_squared_error 1.2990381056766551 root_relative_squared_error 1.233220715579059 root_relative_squared_error 1.2499999999999973 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 2722.2981230079313 usercpu_time_millis 2732.015722998767 usercpu_time_millis 2742.3208949985565 usercpu_time_millis 2733.5544879970257 usercpu_time_millis 2740.61772999994 usercpu_time_millis 2743.027700998937 usercpu_time_millis 2740.9790870078723 usercpu_time_millis 2759.0108970034635 usercpu_time_millis 2762.3319960039225 usercpu_time_millis 2726.938121006242 usercpu_time_millis_testing 158.0923710062052 usercpu_time_millis_testing 154.99404600268463 usercpu_time_millis_testing 158.28628199960804 usercpu_time_millis_testing 163.7093109966372 usercpu_time_millis_testing 164.83082299964735 usercpu_time_millis_testing 159.07089599932078 usercpu_time_millis_testing 157.11670600285288 usercpu_time_millis_testing 156.0951150022447 usercpu_time_millis_testing 163.21480899932794 usercpu_time_millis_testing 154.2663740037824 usercpu_time_millis_training 2564.205752001726 usercpu_time_millis_training 2577.0216769960825 usercpu_time_millis_training 2584.0346129989484 usercpu_time_millis_training 2569.8451770003885 usercpu_time_millis_training 2575.7869070002926 usercpu_time_millis_training 2583.956804999616 usercpu_time_millis_training 2583.8623810050194 usercpu_time_millis_training 2602.9157820012188 usercpu_time_millis_training 2599.1171870045946 usercpu_time_millis_training 2572.6717470024596 wall_clock_time_millis 2870.5666065216064 wall_clock_time_millis 2796.79274559021 wall_clock_time_millis 2838.58060836792 wall_clock_time_millis 2877.791404724121 wall_clock_time_millis 2868.840217590332 wall_clock_time_millis 2839.308977127075 wall_clock_time_millis 2773.1993198394775 wall_clock_time_millis 2855.295419692993 wall_clock_time_millis 2772.0487117767334 wall_clock_time_millis 2871.4263439178467 wall_clock_time_millis_testing 158.11395645141602 wall_clock_time_millis_testing 155.01713752746582 wall_clock_time_millis_testing 158.30731391906738 wall_clock_time_millis_testing 179.74567413330078 wall_clock_time_millis_testing 164.8538112640381 wall_clock_time_millis_testing 159.09123420715332 wall_clock_time_millis_testing 157.13930130004883 wall_clock_time_millis_testing 172.11413383483887 wall_clock_time_millis_testing 163.2378101348877 wall_clock_time_millis_testing 154.30164337158203 wall_clock_time_millis_training 2712.4526500701904 wall_clock_time_millis_training 2641.775608062744 wall_clock_time_millis_training 2680.2732944488525 wall_clock_time_millis_training 2698.0457305908203 wall_clock_time_millis_training 2703.986406326294 wall_clock_time_millis_training 2680.217742919922 wall_clock_time_millis_training 2616.0600185394287 wall_clock_time_millis_training 2683.1812858581543 wall_clock_time_millis_training 2608.8109016418457 wall_clock_time_millis_training 2717.1247005462646