10326538 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) 8182211 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 8.973055290432324 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5701344387842959 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.007654592599531776 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 14397 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 21574762 description https://api.openml.org/data/download/21574762/description.xml -1 21574763 predictions https://api.openml.org/data/download/21574763/predictions.arff area_under_roc_curve 0.8203125 [0.857812,0.829167,0.823438,0.778125,0.891146,0.771875,0.778646,0.894271,0.758333] average_cost 0 f_measure 0.7233286381396431 [0.830918,0.432532,0.776119,0.686869,0.874419,0.6875,0.690355,0.87156,0.659686] kappa 0.640625 kb_relative_information_score 0.6634316180307784 mean_absolute_error 0.0709876543209878 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.8607935837066333 [0.988506,0.27791,0.962963,0.871795,0.989474,0.916667,0.883117,0.969388,0.887324] predictive_accuracy 0.6805555555555556 prior_entropy 3.1699250014422624 recall 0.6805555555555556 [0.716667,0.975,0.65,0.566667,0.783333,0.55,0.566667,0.791667,0.525] relative_absolute_error 0.3593750000000096 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.2664350846284847 root_relative_squared_error 0.8477912478906698 total_cost 0 area_under_roc_curve 0.8385416666666666 [0.875,0.848958,0.791667,0.916667,0.958333,0.791667,0.739583,0.916667,0.708333] area_under_roc_curve 0.7604166666666666 [0.833333,0.786458,0.75,0.817708,0.791667,0.828125,0.708333,0.75,0.578125] area_under_roc_curve 0.8072916666666666 [0.791667,0.776042,0.875,0.744792,0.875,0.791667,0.75,0.911458,0.75] area_under_roc_curve 0.8645833333333334 [0.875,0.869792,0.916667,0.75,0.958333,0.744792,0.916667,0.916667,0.833333] area_under_roc_curve 0.828125 [0.833333,0.859375,0.791667,0.828125,0.958333,0.708333,0.822917,0.911458,0.739583] area_under_roc_curve 0.8333333333333334 [0.875,0.84375,0.911458,0.708333,0.875,0.75,0.833333,0.911458,0.791667] area_under_roc_curve 0.828125 [0.875,0.817708,0.90625,0.78125,0.875,0.75,0.786458,0.916667,0.744792] area_under_roc_curve 0.8385416666666666 [0.994792,0.864583,0.791667,0.78125,0.916667,0.786458,0.75,0.833333,0.828125] area_under_roc_curve 0.7708333333333334 [0.791667,0.807292,0.791667,0.75,0.791667,0.744792,0.609375,0.916667,0.734375] area_under_roc_curve 0.8333333333333334 [0.833333,0.817708,0.708333,0.703125,0.911458,0.822917,0.869792,0.958333,0.875] 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 0.7496217897531465 [0.857143,0.45283,0.736842,0.909091,0.956522,0.736842,0.6,0.909091,0.588235] f_measure 0.6168739004921533 [0.8,0.369231,0.666667,0.695652,0.736842,0.761905,0.588235,0.666667,0.266667] f_measure 0.7113064186369639 [0.736842,0.37931,0.857143,0.631579,0.857143,0.736842,0.666667,0.869565,0.666667] f_measure 0.7921087617720504 [0.857143,0.489796,0.909091,0.666667,0.956522,0.631579,0.909091,0.909091,0.8] f_measure 0.7234366755971279 [0.8,0.470588,0.736842,0.761905,0.956522,0.588235,0.727273,0.869565,0.6] f_measure 0.7432894066178043 [0.857143,0.444444,0.869565,0.588235,0.857143,0.666667,0.8,0.869565,0.736842] f_measure 0.7290691374901902 [0.857143,0.44,0.833333,0.666667,0.857143,0.666667,0.7,0.909091,0.631579] f_measure 0.7423523455102402 [0.96,0.48,0.736842,0.666667,0.909091,0.7,0.666667,0.8,0.761905] f_measure 0.6351185962920217 [0.736842,0.393443,0.736842,0.666667,0.736842,0.631579,0.333333,0.909091,0.571429] f_measure 0.7347194676435939 [0.8,0.44,0.588235,0.555556,0.869565,0.727273,0.818182,0.956522,0.857143] kappa 0.6770833333333334 kappa 0.5208333333333334 kappa 0.6145833333333334 kappa 0.7291666666666667 kappa 0.65625 kappa 0.6666666666666666 kappa 0.65625 kappa 0.6770833333333334 kappa 0.5416666666666666 kappa 0.6666666666666666 kb_relative_information_score 0.697576236491414 kb_relative_information_score 0.5512421573743562 kb_relative_information_score 0.639042604844591 kb_relative_information_score 0.7463542628637663 kb_relative_information_score 0.6780650259424728 kb_relative_information_score 0.6878206312169434 kb_relative_information_score 0.6780650259424728 kb_relative_information_score 0.697576236491414 kb_relative_information_score 0.5707533679232973 kb_relative_information_score 0.6878206312169434 mean_absolute_error 0.06378600823045269 mean_absolute_error 0.09465020576131682 mean_absolute_error 0.07613168724279837 mean_absolute_error 0.05349794238683129 mean_absolute_error 0.06790123456790126 mean_absolute_error 0.06584362139917697 mean_absolute_error 0.06790123456790126 mean_absolute_error 0.06378600823045269 mean_absolute_error 0.09053497942386828 mean_absolute_error 0.06584362139917697 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 0.8936314363143631 [1,0.292683,1,1,1,1,0.75,1,1] precision 0.8343603752408784 [1,0.226415,1,0.727273,1,0.888889,1,1,0.666667] precision 0.8894849112240416 [1,0.23913,1,0.857143,1,1,1,0.909091,1] precision 0.909051909051909 [1,0.324324,1,1,1,0.857143,1,1,1] precision 0.8506302339635673 [1,0.307692,1,0.888889,1,1,0.8,0.909091,0.75] precision 0.9004329004329004 [1,0.285714,0.909091,1,1,1,1,0.909091,1] precision 0.8480808502738326 [1,0.289474,0.833333,0.777778,1,1,0.875,1,0.857143] precision 0.8645036737142 [0.923077,0.315789,1,0.777778,1,0.875,1,1,0.888889] precision 0.807634164777022 [1,0.244898,1,1,1,0.857143,0.5,1,0.666667] precision 0.8590997696260855 [1,0.289474,1,0.833333,0.909091,0.8,0.9,1,1] predictive_accuracy 0.7129629629629629 predictive_accuracy 0.5740740740740741 predictive_accuracy 0.6574074074074074 predictive_accuracy 0.7592592592592592 predictive_accuracy 0.6944444444444444 predictive_accuracy 0.7037037037037037 predictive_accuracy 0.6944444444444444 predictive_accuracy 0.7129629629629629 predictive_accuracy 0.5925925925925926 predictive_accuracy 0.7037037037037037 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 0.7129629629629629 [0.75,1,0.583333,0.833333,0.916667,0.583333,0.5,0.833333,0.416667] recall 0.5740740740740741 [0.666667,1,0.5,0.666667,0.583333,0.666667,0.416667,0.5,0.166667] recall 0.6574074074074074 [0.583333,0.916667,0.75,0.5,0.75,0.583333,0.5,0.833333,0.5] recall 0.7592592592592593 [0.75,1,0.833333,0.5,0.916667,0.5,0.833333,0.833333,0.666667] recall 0.6944444444444444 [0.666667,1,0.583333,0.666667,0.916667,0.416667,0.666667,0.833333,0.5] recall 0.7037037037037037 [0.75,1,0.833333,0.416667,0.75,0.5,0.666667,0.833333,0.583333] recall 0.6944444444444444 [0.75,0.916667,0.833333,0.583333,0.75,0.5,0.583333,0.833333,0.5] recall 0.7129629629629629 [1,1,0.583333,0.583333,0.833333,0.583333,0.5,0.666667,0.666667] recall 0.5925925925925926 [0.583333,1,0.583333,0.5,0.583333,0.5,0.25,0.833333,0.5] recall 0.7037037037037037 [0.666667,0.916667,0.416667,0.416667,0.833333,0.666667,0.75,0.916667,0.75] relative_absolute_error 0.32291666666666585 relative_absolute_error 0.4791666666666651 relative_absolute_error 0.38541666666666563 relative_absolute_error 0.27083333333333265 relative_absolute_error 0.3437499999999992 relative_absolute_error 0.3333333333333325 relative_absolute_error 0.3437499999999992 relative_absolute_error 0.32291666666666585 relative_absolute_error 0.4583333333333319 relative_absolute_error 0.3333333333333325 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 0.2525589203145529 root_mean_squared_error 0.3076527356636323 root_mean_squared_error 0.2759197115879878 root_mean_squared_error 0.23129622216290366 root_mean_squared_error 0.2605786533235239 root_mean_squared_error 0.2566001196398337 root_mean_squared_error 0.2605786533235239 root_mean_squared_error 0.2525589203145529 root_mean_squared_error 0.3008903112828133 root_mean_squared_error 0.2566001196398337 root_relative_squared_error 0.8036375634160785 root_relative_squared_error 0.9789450103725593 root_relative_squared_error 0.8779711460710604 root_relative_squared_error 0.7359800721939862 root_relative_squared_error 0.8291561975888491 root_relative_squared_error 0.8164965809277249 root_relative_squared_error 0.8291561975888491 root_relative_squared_error 0.8036375634160785 root_relative_squared_error 0.9574271077563367 root_relative_squared_error 0.8164965809277249 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 2615.77929899795 usercpu_time_millis 2622.6372309974977 usercpu_time_millis 2603.0025479922188 usercpu_time_millis 2568.184145995474 usercpu_time_millis 2566.1079669953324 usercpu_time_millis 2598.0173269999796 usercpu_time_millis 2634.9814310015063 usercpu_time_millis 2613.6768880023737 usercpu_time_millis 2592.0682470023166 usercpu_time_millis 2576.2376630009385 usercpu_time_millis_testing 129.39773799735121 usercpu_time_millis_testing 133.10097700014012 usercpu_time_millis_testing 126.25194399879547 usercpu_time_millis_testing 128.5965259958175 usercpu_time_millis_testing 130.34953799797222 usercpu_time_millis_testing 132.59519200073555 usercpu_time_millis_testing 134.09692700224696 usercpu_time_millis_testing 130.91665400133934 usercpu_time_millis_testing 127.47516899980837 usercpu_time_millis_testing 137.25069200154394 usercpu_time_millis_training 2486.3815610005986 usercpu_time_millis_training 2489.5362539973576 usercpu_time_millis_training 2476.7506039934233 usercpu_time_millis_training 2439.5876199996565 usercpu_time_millis_training 2435.75842899736 usercpu_time_millis_training 2465.422134999244 usercpu_time_millis_training 2500.8845039992593 usercpu_time_millis_training 2482.7602340010344 usercpu_time_millis_training 2464.5930780025083 usercpu_time_millis_training 2438.9869709993945 wall_clock_time_millis 2683.961868286133 wall_clock_time_millis 2622.849225997925 wall_clock_time_millis 2867.1844005584717 wall_clock_time_millis 2808.411121368408 wall_clock_time_millis 2758.314371109009 wall_clock_time_millis 2934.234619140625 wall_clock_time_millis 2731.393814086914 wall_clock_time_millis 2877.948045730591 wall_clock_time_millis 2816.359519958496 wall_clock_time_millis 2696.6044902801514 wall_clock_time_millis_testing 129.41741943359375 wall_clock_time_millis_testing 133.12196731567383 wall_clock_time_millis_testing 126.27315521240234 wall_clock_time_millis_testing 128.62777709960938 wall_clock_time_millis_testing 130.3718090057373 wall_clock_time_millis_testing 132.615327835083 wall_clock_time_millis_testing 134.11903381347656 wall_clock_time_millis_testing 130.9375762939453 wall_clock_time_millis_testing 127.55656242370605 wall_clock_time_millis_testing 161.26179695129395 wall_clock_time_millis_training 2554.544448852539 wall_clock_time_millis_training 2489.727258682251 wall_clock_time_millis_training 2740.9112453460693 wall_clock_time_millis_training 2679.783344268799 wall_clock_time_millis_training 2627.9425621032715 wall_clock_time_millis_training 2801.619291305542 wall_clock_time_millis_training 2597.2747802734375 wall_clock_time_millis_training 2747.0104694366455 wall_clock_time_millis_training 2688.80295753479 wall_clock_time_millis_training 2535.3426933288574