10550392 8323 Heinrich Peters 3903 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275616 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 10 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 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"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 1050 pc3 https://www.openml.org/data/download/53933/pc3.arff -1 22025739 description https://api.openml.org/data/download/22025739/description.xml -1 22025740 predictions https://api.openml.org/data/download/22025740/predictions.arff area_under_roc_curve 0.8174714896650036 [0.817471,0.817471] average_cost 0 f_measure 0.8738989167585287 [0.945455,0.246445] kappa 0.207214018432209 kb_relative_information_score -0.07582637154982919 mean_absolute_error 0.15104092347260736 mean_prior_absolute_error 0.1841804999396983 weighted_recall 0.8982725527831094 [0.982181,0.1625] number_of_instances 1563 [1403,160] precision 0.8702678697127532 [0.911376,0.509804] predictive_accuracy 0.8982725527831095 prior_entropy 0.47645699262891783 relative_absolute_error 0.8200701134053768 root_mean_prior_squared_error 0.30313107457396465 root_mean_squared_error 0.2814008612412802 root_relative_squared_error 0.9283141348565959 total_cost 0 unweighted_recall 0.5723405203136137 [0.982181,0.1625] area_under_roc_curve 0.7225177304964537 [0.722518,0.722518] area_under_roc_curve 0.8962765957446808 [0.896277,0.896277] area_under_roc_curve 0.886081560283688 [0.886082,0.886082] area_under_roc_curve 0.8227678571428572 [0.822768,0.822768] area_under_roc_curve 0.7857142857142857 [0.785714,0.785714] area_under_roc_curve 0.7993303571428572 [0.79933,0.79933] area_under_roc_curve 0.8165178571428572 [0.816518,0.816518] area_under_roc_curve 0.8330357142857142 [0.833036,0.833036] area_under_roc_curve 0.840625 [0.840625,0.840625] area_under_roc_curve 0.8310267857142858 [0.831027,0.831027] 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 0.8531371257046636 [0.931034,0.166667] f_measure 0.8653931953860217 [0.94198,0.190476] f_measure 0.8872431602177767 [0.948454,0.347826] f_measure 0.9069206655413552 [0.958621,0.454545] f_measure 0.8774928774928773 [0.952381,0.222222] f_measure 0.8687741482262029 [0.945205,0.2] f_measure 0.8730845228060965 [0.948805,0.210526] f_measure 0.8804803443978704 [0.948454,0.285714] f_measure 0.864544390317586 [0.941581,0.190476] f_measure 0.8603809983120326 [0.937931,0.181818] kappa 0.1059225512528477 kappa 0.14918712145361815 kappa 0.3046944198405672 kappa 0.42222222222222267 kappa 0.20408163265306098 kappa 0.16577540106951896 kappa 0.18410041841004185 kappa 0.24903722721437752 kappa 0.14890885750962818 kappa 0.13333333333333316 kb_relative_information_score -0.3632384980160066 kb_relative_information_score -0.12305902976519086 kb_relative_information_score -0.03631992744470134 kb_relative_information_score 0.046636454648439976 kb_relative_information_score 0.015910863947299243 kb_relative_information_score 0.04709132064412926 kb_relative_information_score -0.03784054666637523 kb_relative_information_score -0.03308378671069665 kb_relative_information_score -0.09691830544692571 kb_relative_information_score -0.17682115787888203 mean_absolute_error 0.1764287529227831 mean_absolute_error 0.16048017842594178 mean_absolute_error 0.14683544666631546 mean_absolute_error 0.1338223504189604 mean_absolute_error 0.14382634257048024 mean_absolute_error 0.13963270792057797 mean_absolute_error 0.14568345696924226 mean_absolute_error 0.15004144050689844 mean_absolute_error 0.15046397729074915 mean_absolute_error 0.16299828867773117 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] precision 0.8391826614799299 [0.90604,0.25] precision 0.8561347636607443 [0.907895,0.4] precision 0.884476797088262 [0.92,0.571429] precision 0.917094017094017 [0.926667,0.833333] precision 0.9184149184149183 [0.909091,1] precision 0.8660593792172739 [0.907895,0.5] precision 0.8836936483995308 [0.908497,0.666667] precision 0.8817116658176261 [0.913907,0.6] precision 0.8552555612158261 [0.907285,0.4] precision 0.8478632478632477 [0.906667,0.333333] predictive_accuracy 0.8726114649681529 predictive_accuracy 0.89171974522293 predictive_accuracy 0.9044585987261147 predictive_accuracy 0.923076923076923 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.891025641025641 predictive_accuracy 0.8846153846153847 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 relative_absolute_error 0.9598013226368307 relative_absolute_error 0.8730384643008096 relative_absolute_error 0.7988088879253199 relative_absolute_error 0.7259663281327221 relative_absolute_error 0.7802364962038282 relative_absolute_error 0.7574866525582157 relative_absolute_error 0.7903110653379887 relative_absolute_error 0.8139524772321175 relative_absolute_error 0.8162446763790671 relative_absolute_error 0.8842414495996205 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_squared_error 0.310784776595102 root_mean_squared_error 0.27559700980615354 root_mean_squared_error 0.2637357525057674 root_mean_squared_error 0.25628906269884333 root_mean_squared_error 0.28191330532231246 root_mean_squared_error 0.27934533592350974 root_mean_squared_error 0.27999661343010773 root_mean_squared_error 0.2750572172348912 root_mean_squared_error 0.28816781045181944 root_mean_squared_error 0.2990813350954868 root_relative_squared_error 1.027277165460826 root_relative_squared_error 0.9109664834452086 root_relative_squared_error 0.8717599337813656 root_relative_squared_error 0.8447543432599273 root_relative_squared_error 0.9292144057416314 root_relative_squared_error 0.9207501221699743 root_relative_squared_error 0.9228967978672226 root_relative_squared_error 0.9066160547678038 root_relative_squared_error 0.9498298792130881 root_relative_squared_error 0.9858019462452481 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 0.5412234042553192 [0.957447,0.125] unweighted_recall 0.5518617021276595 [0.978723,0.125] unweighted_recall 0.6143617021276595 [0.978723,0.25] unweighted_recall 0.6526785714285714 [0.992857,0.3125] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.5553571428571429 [0.985714,0.125] unweighted_recall 0.5589285714285714 [0.992857,0.125] unweighted_recall 0.5866071428571429 [0.985714,0.1875] unweighted_recall 0.5517857142857143 [0.978571,0.125] unweighted_recall 0.5482142857142858 [0.971429,0.125] usercpu_time_millis 88.06724095484242 usercpu_time_millis 70.62765303999186 usercpu_time_millis 71.58148306189105 usercpu_time_millis 68.99889797205105 usercpu_time_millis 82.94371201191097 usercpu_time_millis 80.52911097183824 usercpu_time_millis 83.47704808693379 usercpu_time_millis 77.75007898453623 usercpu_time_millis 78.54066300205886 usercpu_time_millis 84.55656096339226 usercpu_time_millis_testing 0.5472949706017971 usercpu_time_millis_testing 0.5588530329987407 usercpu_time_millis_testing 0.537614047061652 usercpu_time_millis_testing 0.5560260033234954 usercpu_time_millis_testing 0.565266003832221 usercpu_time_millis_testing 0.5756759783253074 usercpu_time_millis_testing 0.530816032551229 usercpu_time_millis_testing 0.5593710229732096 usercpu_time_millis_testing 0.606329005677253 usercpu_time_millis_testing 0.537831976544112 usercpu_time_millis_training 87.51994598424062 usercpu_time_millis_training 70.06880000699311 usercpu_time_millis_training 71.0438690148294 usercpu_time_millis_training 68.44287196872756 usercpu_time_millis_training 82.37844600807875 usercpu_time_millis_training 79.95343499351293 usercpu_time_millis_training 82.94623205438256 usercpu_time_millis_training 77.19070796156302 usercpu_time_millis_training 77.93433399638161 usercpu_time_millis_training 84.01872898684815 wall_clock_time_millis 88.10973167419434 wall_clock_time_millis 70.64318656921387 wall_clock_time_millis 71.58374786376953 wall_clock_time_millis 69.00501251220703 wall_clock_time_millis 82.94558525085449 wall_clock_time_millis 80.53350448608398 wall_clock_time_millis 83.47964286804199 wall_clock_time_millis 77.75449752807617 wall_clock_time_millis 78.54604721069336 wall_clock_time_millis 84.56087112426758 wall_clock_time_millis_testing 0.5497932434082031 wall_clock_time_millis_testing 0.5621910095214844 wall_clock_time_millis_testing 0.5404949188232422 wall_clock_time_millis_testing 0.5590915679931641 wall_clock_time_millis_testing 0.5686283111572266 wall_clock_time_millis_testing 0.5784034729003906 wall_clock_time_millis_testing 0.5335807800292969 wall_clock_time_millis_testing 0.5619525909423828 wall_clock_time_millis_testing 0.6098747253417969 wall_clock_time_millis_testing 0.5402565002441406 wall_clock_time_millis_training 87.55993843078613 wall_clock_time_millis_training 70.08099555969238 wall_clock_time_millis_training 71.04325294494629 wall_clock_time_millis_training 68.44592094421387 wall_clock_time_millis_training 82.37695693969727 wall_clock_time_millis_training 79.9551010131836 wall_clock_time_millis_training 82.9460620880127 wall_clock_time_millis_training 77.19254493713379 wall_clock_time_millis_training 77.93617248535156 wall_clock_time_millis_training 84.02061462402344 weighted_recall 0.8726114649681529 [0.957447,0.125] weighted_recall 0.89171974522293 [0.978723,0.125] weighted_recall 0.9044585987261147 [0.978723,0.25] weighted_recall 0.9230769230769231 [0.992857,0.3125] weighted_recall 0.9102564102564102 [1,0.125] weighted_recall 0.8974358974358975 [0.985714,0.125] weighted_recall 0.9038461538461539 [0.992857,0.125] weighted_recall 0.9038461538461539 [0.985714,0.1875] weighted_recall 0.8910256410256411 [0.978571,0.125] weighted_recall 0.8846153846153846 [0.971429,0.125]