10558346 8323 Heinrich Peters 9981 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275911 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 100 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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": "logisticregression", "step_name": "logisticregression"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 1468 cnae-9 https://www.openml.org/data/download/1586233/phpmcGu2X -1 22041655 description https://api.openml.org/data/download/22041655/description.xml -1 22041656 predictions https://api.openml.org/data/download/22041656/predictions.arff area_under_roc_curve 0.9914207175925925 [0.999323,0.999549,0.986806,0.968976,0.999948,0.996641,0.997483,0.998984,0.975078] average_cost 0 f_measure 0.9284540125658671 [0.958678,0.966102,0.923077,0.861925,0.987552,0.900398,0.928,0.983193,0.847162] kappa 0.9197916666666668 kb_relative_information_score 0.9264089268926728 mean_absolute_error 0.01824152483385123 mean_prior_absolute_error 0.197530864197526 weighted_recall 0.9287037037037037 [0.966667,0.95,0.9,0.858333,0.991667,0.941667,0.966667,0.975,0.808333] number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.9295889777228404 [0.95082,0.982759,0.947368,0.865546,0.983471,0.862595,0.892308,0.991525,0.889908] predictive_accuracy 0.9287037037037037 prior_entropy 3.1699250014422624 relative_absolute_error 0.09234771947137413 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.11504509810782622 root_relative_squared_error 0.3660712605644245 total_cost 0 unweighted_recall 0.9287037037037036 [0.966667,0.95,0.9,0.858333,0.991667,0.941667,0.966667,0.975,0.808333] area_under_roc_curve 0.9953703703703703 [1,1,0.993056,0.977431,1,0.996528,0.997396,0.996528,0.997396] area_under_roc_curve 0.9845679012345678 [0.999132,1,0.977431,0.992188,1,0.997396,0.997396,1,0.897569] area_under_roc_curve 0.995949074074074 [1,0.998264,0.990451,0.987847,1,0.999132,0.997396,0.999132,0.991319] area_under_roc_curve 0.9931520061728394 [1,1,0.974826,0.977431,1,0.989583,0.996528,1,1] area_under_roc_curve 0.9854359567901234 [1,1,0.949653,0.927951,1,0.998264,0.999132,1,0.993924] area_under_roc_curve 0.9976851851851852 [1,1,0.999132,0.985243,1,1,1,1,0.994792] area_under_roc_curve 0.9850501543209877 [0.998264,1,0.997396,0.972222,1,0.99566,0.99566,1,0.90625] area_under_roc_curve 0.9975887345679013 [1,1,1,0.988715,1,0.997396,1,1,0.992188] area_under_roc_curve 0.9929591049382716 [0.997396,0.999132,1,0.959201,1,0.997396,0.994792,1,0.988715] area_under_roc_curve 0.9891010802469137 [1,0.999132,0.991319,0.923611,1,0.997396,0.998264,1,0.992188] 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 0.9267481579075783 [1,1,0.869565,0.8,1,0.916667,0.888889,0.956522,0.909091] f_measure 0.8941775905896477 [0.96,1,0.909091,0.827586,0.956522,0.846154,0.916667,1,0.631579] f_measure 0.9452988825452594 [1,0.956522,0.916667,0.88,1,0.956522,0.888889,1,0.909091] f_measure 0.9361222030787248 [1,1,0.88,0.833333,1,0.846154,0.956522,1,0.909091] f_measure 0.9251935021500239 [1,0.96,0.857143,0.916667,1,0.88,0.923077,0.956522,0.833333] f_measure 0.9331169742763946 [0.96,1,0.923077,0.8,1,0.888889,0.956522,1,0.869565] f_measure 0.9167847557702631 [0.869565,0.956522,0.956522,0.869565,0.96,0.888889,0.916667,1,0.833333] f_measure 0.944689706428837 [0.96,0.956522,0.956522,0.88,1,0.923077,1,0.956522,0.869565] f_measure 0.9353250453250453 [0.88,0.909091,1,0.909091,1,0.916667,0.923077,1,0.88] f_measure 0.9264888573584226 [0.956522,0.916667,0.956522,0.909091,0.96,0.956522,0.923077,0.96,0.8] kappa 0.9166666666666667 kappa 0.8854166666666666 kappa 0.9375 kappa 0.9270833333333335 kappa 0.9166666666666667 kappa 0.9270833333333335 kappa 0.9062500000000001 kappa 0.9375 kappa 0.9270833333333335 kappa 0.9166666666666667 kb_relative_information_score 0.9158393393723255 kb_relative_information_score 0.8990416067138163 kb_relative_information_score 0.9319440230004343 kb_relative_information_score 0.9343255156226971 kb_relative_information_score 0.9292342861540205 kb_relative_information_score 0.9312038262154071 kb_relative_information_score 0.9178868479591331 kb_relative_information_score 0.9479399187120384 kb_relative_information_score 0.9348850701437642 kb_relative_information_score 0.9217888350329256 mean_absolute_error 0.02105286277916867 mean_absolute_error 0.02444284685770653 mean_absolute_error 0.01688863651643891 mean_absolute_error 0.0163326455929104 mean_absolute_error 0.01659763030738934 mean_absolute_error 0.016968101402335938 mean_absolute_error 0.019840297484088717 mean_absolute_error 0.014564494278896674 mean_absolute_error 0.0165346922960191 mean_absolute_error 0.019193040823558168 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 0.9327764827764826 [1,1,0.909091,0.769231,1,0.916667,0.8,1,1] precision 0.9098314539491009 [0.923077,1,1,0.705882,1,0.785714,0.916667,1,0.857143] precision 0.9514245014245014 [1,1,0.916667,0.846154,1,1,0.8,1,1] precision 0.9405779405779405 [1,1,0.846154,0.833333,1,0.785714,1,1,1] precision 0.9307081807081806 [1,0.923077,1,0.916667,1,0.846154,0.857143,1,0.833333] precision 0.9432567432567432 [0.923077,1,0.857143,1,1,0.8,1,1,0.909091] precision 0.9212509712509713 [0.909091,1,1,0.909091,0.923077,0.8,0.916667,1,0.833333] precision 0.9483849483849484 [0.923077,1,1,0.846154,1,0.857143,1,1,0.909091] precision 0.9406796906796907 [0.846154,1,1,1,1,0.916667,0.857143,1,0.846154] precision 0.9321326821326822 [1,0.916667,1,1,0.923077,1,0.857143,0.923077,0.769231] predictive_accuracy 0.9259259259259259 predictive_accuracy 0.8981481481481481 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9351851851851852 predictive_accuracy 0.9259259259259259 predictive_accuracy 0.9351851851851852 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9444444444444444 predictive_accuracy 0.9351851851851852 predictive_accuracy 0.9259259259259259 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 relative_absolute_error 0.10658011781954109 relative_absolute_error 0.12374191221713898 relative_absolute_error 0.08549872236447176 relative_absolute_error 0.08268401831410868 relative_absolute_error 0.0840255034311583 relative_absolute_error 0.08590101334932544 relative_absolute_error 0.10044150601319884 relative_absolute_error 0.07373275228691421 relative_absolute_error 0.08370687974859647 relative_absolute_error 0.09716476916926295 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 0.12517392062014662 root_mean_squared_error 0.13767441656693133 root_mean_squared_error 0.11140441699036302 root_mean_squared_error 0.11066816561716245 root_mean_squared_error 0.11253139605970253 root_mean_squared_error 0.107176702301266 root_mean_squared_error 0.12229175263599236 root_mean_squared_error 0.09669774029820508 root_mean_squared_error 0.1071117519959761 root_mean_squared_error 0.11464636857471855 root_relative_squared_error 0.3983009764419548 root_relative_squared_error 0.4380773109767036 root_relative_squared_error 0.3544866841860873 root_relative_squared_error 0.35214394666217125 root_relative_squared_error 0.3580727096259211 root_relative_squared_error 0.3410341784209663 root_relative_squared_error 0.38912997407444067 root_relative_squared_error 0.3076903255062438 root_relative_squared_error 0.34082750781506843 root_relative_squared_error 0.3648025109591806 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 unweighted_recall 0.925925925925926 [1,1,0.833333,0.833333,1,0.916667,1,0.916667,0.833333] unweighted_recall 0.8981481481481483 [1,1,0.833333,1,0.916667,0.916667,0.916667,1,0.5] unweighted_recall 0.9444444444444444 [1,0.916667,0.916667,0.916667,1,0.916667,1,1,0.833333] unweighted_recall 0.9351851851851853 [1,1,0.916667,0.833333,1,0.916667,0.916667,1,0.833333] unweighted_recall 0.925925925925926 [1,1,0.75,0.916667,1,0.916667,1,0.916667,0.833333] unweighted_recall 0.9351851851851851 [1,1,1,0.666667,1,1,0.916667,1,0.833333] unweighted_recall 0.9166666666666666 [0.833333,0.916667,0.916667,0.833333,1,1,0.916667,1,0.833333] unweighted_recall 0.9444444444444444 [1,0.916667,0.916667,0.916667,1,1,1,0.916667,0.833333] unweighted_recall 0.9351851851851853 [0.916667,0.833333,1,0.833333,1,0.916667,1,1,0.916667] unweighted_recall 0.925925925925926 [0.916667,0.916667,0.916667,0.833333,1,0.916667,1,1,0.833333] usercpu_time_millis 2339.110000000801 usercpu_time_millis 2375.23799999326 usercpu_time_millis 2568.4820000024047 usercpu_time_millis 2569.6099999986473 usercpu_time_millis 2070.822000001499 usercpu_time_millis 2439.333999995142 usercpu_time_millis 2069.517999996606 usercpu_time_millis 2504.741999990074 usercpu_time_millis 1981.6159999973024 usercpu_time_millis 2506.5900000045076 usercpu_time_millis_testing 7.929999999760184 usercpu_time_millis_testing 4.825999996683095 usercpu_time_millis_testing 8.368000002519693 usercpu_time_millis_testing 6.59799999993993 usercpu_time_millis_testing 7.0800000030430965 usercpu_time_millis_testing 8.591999998316169 usercpu_time_millis_testing 5.787999994936399 usercpu_time_millis_testing 4.755999994813465 usercpu_time_millis_testing 7.296000003407244 usercpu_time_millis_testing 6.584000002476387 usercpu_time_millis_training 2331.1800000010408 usercpu_time_millis_training 2370.411999996577 usercpu_time_millis_training 2560.113999999885 usercpu_time_millis_training 2563.0119999987073 usercpu_time_millis_training 2063.741999998456 usercpu_time_millis_training 2430.741999996826 usercpu_time_millis_training 2063.7300000016694 usercpu_time_millis_training 2499.9859999952605 usercpu_time_millis_training 1974.3199999938952 usercpu_time_millis_training 2500.006000002031 wall_clock_time_millis 1538.064956665039 wall_clock_time_millis 1730.7689189910889 wall_clock_time_millis 1816.3652420043945 wall_clock_time_millis 1857.1970462799072 wall_clock_time_millis 1850.4981994628906 wall_clock_time_millis 1948.030948638916 wall_clock_time_millis 1438.1439685821533 wall_clock_time_millis 2082.317113876343 wall_clock_time_millis 1756.805181503296 wall_clock_time_millis 2240.9021854400635 wall_clock_time_millis_testing 3.2567977905273438 wall_clock_time_millis_testing 3.2279491424560547 wall_clock_time_millis_testing 5.557060241699219 wall_clock_time_millis_testing 3.898143768310547 wall_clock_time_millis_testing 3.6759376525878906 wall_clock_time_millis_testing 3.0088424682617188 wall_clock_time_millis_testing 2.546072006225586 wall_clock_time_millis_testing 2.5870800018310547 wall_clock_time_millis_testing 6.259918212890625 wall_clock_time_millis_testing 2.8171539306640625 wall_clock_time_millis_training 1534.8081588745117 wall_clock_time_millis_training 1727.5409698486328 wall_clock_time_millis_training 1810.8081817626953 wall_clock_time_millis_training 1853.2989025115967 wall_clock_time_millis_training 1846.8222618103027 wall_clock_time_millis_training 1945.0221061706543 wall_clock_time_millis_training 1435.5978965759277 wall_clock_time_millis_training 2079.7300338745117 wall_clock_time_millis_training 1750.5452632904053 wall_clock_time_millis_training 2238.0850315093994 weighted_recall 0.9259259259259259 [1,1,0.833333,0.833333,1,0.916667,1,0.916667,0.833333] weighted_recall 0.8981481481481481 [1,1,0.833333,1,0.916667,0.916667,0.916667,1,0.5] weighted_recall 0.9444444444444444 [1,0.916667,0.916667,0.916667,1,0.916667,1,1,0.833333] weighted_recall 0.9351851851851852 [1,1,0.916667,0.833333,1,0.916667,0.916667,1,0.833333] weighted_recall 0.9259259259259259 [1,1,0.75,0.916667,1,0.916667,1,0.916667,0.833333] weighted_recall 0.9351851851851852 [1,1,1,0.666667,1,1,0.916667,1,0.833333] weighted_recall 0.9166666666666666 [0.833333,0.916667,0.916667,0.833333,1,1,0.916667,1,0.833333] weighted_recall 0.9444444444444444 [1,0.916667,0.916667,0.916667,1,1,1,0.916667,0.833333] weighted_recall 0.9351851851851852 [0.916667,0.833333,1,0.833333,1,0.916667,1,1,0.916667] weighted_recall 0.9259259259259259 [0.916667,0.916667,0.916667,0.833333,1,0.916667,1,1,0.833333]