10326857 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) 8182527 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 1.5027812857125642 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6143697206439183 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.17254155143241814 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 47014 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 21575400 description https://api.openml.org/data/download/21575400/description.xml -1 21575401 predictions https://api.openml.org/data/download/21575401/predictions.arff area_under_roc_curve 0.8604166666666667 [0.907813,0.828646,0.796875,0.813021,0.9375,0.873437,0.86875,0.902604,0.815104] average_cost 0 f_measure 0.7788389385670775 [0.894977,0.79,0.727273,0.748768,0.933333,0.75502,0.514541,0.881818,0.763819] kappa 0.7208333333333334 kb_relative_information_score 0.7385497786442007 mean_absolute_error 0.05514403292181053 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.8698364453070222 [0.989899,0.9875,0.923077,0.915663,1,0.728682,0.351682,0.97,0.962025] predictive_accuracy 0.7518518518518519 prior_entropy 3.1699250014422624 recall 0.7518518518518519 [0.816667,0.658333,0.6,0.633333,0.875,0.783333,0.958333,0.808333,0.633333] relative_absolute_error 0.2791666666666727 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.23482766643181235 root_relative_squared_error 0.7472170590486712 total_cost 0 area_under_roc_curve 0.84375 [0.708333,0.833333,0.75,0.75,1,0.911458,0.848958,0.875,0.916667] area_under_roc_curve 0.8385416666666666 [0.958333,0.833333,0.791667,0.828125,0.833333,0.901042,0.859375,0.875,0.666667] area_under_roc_curve 0.8697916666666666 [0.911458,0.791667,0.78125,0.828125,1,0.916667,0.895833,0.911458,0.791667] area_under_roc_curve 0.8229166666666666 [0.916667,0.833333,0.708333,0.744792,0.916667,0.734375,0.802083,1,0.75] area_under_roc_curve 0.859375 [0.916667,0.869792,0.75,0.875,0.916667,0.864583,0.875,0.833333,0.833333] area_under_roc_curve 0.8802083333333334 [0.958333,0.791667,0.822917,0.828125,0.958333,0.90625,0.916667,0.828125,0.911458] area_under_roc_curve 0.8645833333333334 [0.958333,0.875,0.833333,0.78125,0.916667,0.822917,0.802083,0.958333,0.833333] area_under_roc_curve 0.8697916666666666 [0.958333,0.875,0.786458,0.744792,0.958333,0.901042,0.895833,0.916667,0.791667] area_under_roc_curve 0.875 [0.833333,0.791667,0.916667,0.875,0.916667,0.864583,0.895833,0.875,0.90625] area_under_roc_curve 0.8802083333333334 [0.958333,0.791667,0.828125,0.875,0.958333,0.911458,0.895833,0.953125,0.75] 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 0.7566886444172551 [0.588235,0.8,0.666667,0.666667,1,0.869565,0.45283,0.857143,0.909091] f_measure 0.7425555220817033 [0.956522,0.8,0.736842,0.761905,0.8,0.8,0.470588,0.857143,0.5] f_measure 0.7884368364917563 [0.869565,0.736842,0.666667,0.761905,1,0.909091,0.545455,0.869565,0.736842] f_measure 0.7212428485984185 [0.909091,0.8,0.588235,0.631579,0.909091,0.571429,0.415094,1,0.666667] f_measure 0.7825313173139258 [0.909091,0.818182,0.666667,0.857143,0.909091,0.782609,0.5,0.8,0.8] f_measure 0.805672503613007 [0.956522,0.736842,0.727273,0.761905,0.956522,0.571429,0.909091,0.761905,0.869565] f_measure 0.7919735658866095 [0.956522,0.857143,0.8,0.666667,0.909091,0.727273,0.454545,0.956522,0.8] f_measure 0.7881280936200844 [0.956522,0.857143,0.7,0.631579,0.956522,0.8,0.545455,0.909091,0.736842] f_measure 0.8034118013523047 [0.8,0.736842,0.909091,0.857143,0.909091,0.782609,0.545455,0.857143,0.833333] f_measure 0.8074762554167589 [0.956522,0.736842,0.761905,0.857143,0.956522,0.869565,0.545455,0.916667,0.666667] kappa 0.6875000000000001 kappa 0.6770833333333334 kappa 0.7395833333333334 kappa 0.6458333333333335 kappa 0.71875 kappa 0.7604166666666669 kappa 0.7291666666666667 kappa 0.7395833333333334 kappa 0.7500000000000001 kappa 0.7604166666666669 kb_relative_information_score 0.7073318417658843 kb_relative_information_score 0.697576236491414 kb_relative_information_score 0.7561098681382369 kb_relative_information_score 0.6683094206680021 kb_relative_information_score 0.7365986575892957 kb_relative_information_score 0.7756210786871782 kb_relative_information_score 0.7463542628637663 kb_relative_information_score 0.756109868138237 kb_relative_information_score 0.7658654734127072 kb_relative_information_score 0.7756210786871779 mean_absolute_error 0.06172839506172841 mean_absolute_error 0.06378600823045269 mean_absolute_error 0.05144032921810701 mean_absolute_error 0.06995884773662554 mean_absolute_error 0.05555555555555557 mean_absolute_error 0.04732510288065845 mean_absolute_error 0.05349794238683129 mean_absolute_error 0.05144032921810701 mean_absolute_error 0.04938271604938273 mean_absolute_error 0.04732510288065845 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 0.9113082039911308 [1,1,1,1,1,0.909091,0.292683,1,1] precision 0.8850902184235517 [1,1,1,0.888889,1,0.769231,0.307692,1,1] precision 0.8733164983164983 [0.909091,1,0.777778,0.888889,1,1,0.375,0.909091,1] precision 0.8657891340818169 [1,1,1,0.857143,1,0.666667,0.268293,1,1] precision 0.8946127946127945 [1,0.9,1,1,1,0.818182,0.333333,1,1] precision 0.8763187429854097 [1,1,0.8,0.888889,1,0.4,1,0.888889,0.909091] precision 0.8766975308641975 [1,1,1,0.777778,1,0.8,0.3125,1,1] precision 0.8751526251526252 [1,1,0.875,0.857143,1,0.769231,0.375,1,1] precision 0.8918350168350168 [1,1,1,1,1,0.818182,0.375,1,0.833333] precision 0.8988496071829405 [1,1,0.888889,1,1,0.909091,0.375,0.916667,1] predictive_accuracy 0.7222222222222223 predictive_accuracy 0.7129629629629629 predictive_accuracy 0.7685185185185185 predictive_accuracy 0.6851851851851852 predictive_accuracy 0.75 predictive_accuracy 0.7870370370370371 predictive_accuracy 0.7592592592592592 predictive_accuracy 0.7685185185185185 predictive_accuracy 0.7777777777777777 predictive_accuracy 0.7870370370370371 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 0.7222222222222222 [0.416667,0.666667,0.5,0.5,1,0.833333,1,0.75,0.833333] recall 0.7129629629629629 [0.916667,0.666667,0.583333,0.666667,0.666667,0.833333,1,0.75,0.333333] recall 0.7685185185185185 [0.833333,0.583333,0.583333,0.666667,1,0.833333,1,0.833333,0.583333] recall 0.6851851851851852 [0.833333,0.666667,0.416667,0.5,0.833333,0.5,0.916667,1,0.5] recall 0.75 [0.833333,0.75,0.5,0.75,0.833333,0.75,1,0.666667,0.666667] recall 0.7870370370370371 [0.916667,0.583333,0.666667,0.666667,0.916667,1,0.833333,0.666667,0.833333] recall 0.7592592592592593 [0.916667,0.75,0.666667,0.583333,0.833333,0.666667,0.833333,0.916667,0.666667] recall 0.7685185185185185 [0.916667,0.75,0.583333,0.5,0.916667,0.833333,1,0.833333,0.583333] recall 0.7777777777777778 [0.666667,0.583333,0.833333,0.75,0.833333,0.75,1,0.75,0.833333] recall 0.7870370370370371 [0.916667,0.583333,0.666667,0.75,0.916667,0.833333,1,0.916667,0.5] relative_absolute_error 0.3124999999999992 relative_absolute_error 0.32291666666666585 relative_absolute_error 0.260416666666666 relative_absolute_error 0.35416666666666585 relative_absolute_error 0.2812499999999993 relative_absolute_error 0.23958333333333276 relative_absolute_error 0.27083333333333265 relative_absolute_error 0.260416666666666 relative_absolute_error 0.2499999999999994 relative_absolute_error 0.23958333333333276 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 0.24845199749997668 root_mean_squared_error 0.2525589203145529 root_mean_squared_error 0.22680460581325726 root_mean_squared_error 0.2644973492052908 root_mean_squared_error 0.23570226039551587 root_mean_squared_error 0.2175433356383469 root_mean_squared_error 0.23129622216290366 root_mean_squared_error 0.22680460581325726 root_mean_squared_error 0.22222222222222224 root_mean_squared_error 0.2175433356383469 root_relative_squared_error 0.7905694150420939 root_relative_squared_error 0.8036375634160785 root_relative_squared_error 0.7216878364870313 root_relative_squared_error 0.8416254115301721 root_relative_squared_error 0.749999999999999 root_relative_squared_error 0.692218655243172 root_relative_squared_error 0.7359800721939862 root_relative_squared_error 0.7216878364870313 root_relative_squared_error 0.7071067811865467 root_relative_squared_error 0.692218655243172 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 2321.2581280022277 usercpu_time_millis 2352.583289000904 usercpu_time_millis 2321.329958002025 usercpu_time_millis 2349.446665000869 usercpu_time_millis 2368.9435999986017 usercpu_time_millis 2402.948799994192 usercpu_time_millis 2402.038733998779 usercpu_time_millis 2345.951117000368 usercpu_time_millis 2348.473465994175 usercpu_time_millis 2373.54620500264 usercpu_time_millis_testing 108.98283999995328 usercpu_time_millis_testing 105.93630500079598 usercpu_time_millis_testing 106.30280400073389 usercpu_time_millis_testing 108.79109900270123 usercpu_time_millis_testing 104.98333800205728 usercpu_time_millis_testing 104.83824499533512 usercpu_time_millis_testing 116.06872799893608 usercpu_time_millis_testing 104.8728640016634 usercpu_time_millis_testing 109.20546899433248 usercpu_time_millis_testing 112.93668999860529 usercpu_time_millis_training 2212.2752880022745 usercpu_time_millis_training 2246.646984000108 usercpu_time_millis_training 2215.027154001291 usercpu_time_millis_training 2240.6555659981677 usercpu_time_millis_training 2263.9602619965444 usercpu_time_millis_training 2298.110554998857 usercpu_time_millis_training 2285.970005999843 usercpu_time_millis_training 2241.0782529987046 usercpu_time_millis_training 2239.2679969998426 usercpu_time_millis_training 2260.6095150040346 wall_clock_time_millis 2335.181474685669 wall_clock_time_millis 2681.2691688537598 wall_clock_time_millis 2357.5832843780518 wall_clock_time_millis 2549.213409423828 wall_clock_time_millis 2529.106616973877 wall_clock_time_millis 2481.884002685547 wall_clock_time_millis 2522.4835872650146 wall_clock_time_millis 2694.3013668060303 wall_clock_time_millis 2588.712692260742 wall_clock_time_millis 2723.7260341644287 wall_clock_time_millis_testing 122.72930145263672 wall_clock_time_millis_testing 105.9567928314209 wall_clock_time_millis_testing 106.32205009460449 wall_clock_time_millis_testing 108.8099479675293 wall_clock_time_millis_testing 105.00311851501465 wall_clock_time_millis_testing 104.86960411071777 wall_clock_time_millis_testing 156.080961227417 wall_clock_time_millis_testing 104.89368438720703 wall_clock_time_millis_testing 185.22167205810547 wall_clock_time_millis_testing 140.9597396850586 wall_clock_time_millis_training 2212.452173233032 wall_clock_time_millis_training 2575.312376022339 wall_clock_time_millis_training 2251.2612342834473 wall_clock_time_millis_training 2440.403461456299 wall_clock_time_millis_training 2424.1034984588623 wall_clock_time_millis_training 2377.014398574829 wall_clock_time_millis_training 2366.4026260375977 wall_clock_time_millis_training 2589.4076824188232 wall_clock_time_millis_training 2403.4910202026367 wall_clock_time_millis_training 2582.76629447937