10558773 8323 Heinrich Peters 9976 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275905 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 1 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 "auto" 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. 1485 madelon https://www.openml.org/data/download/1590986/phpfLuQE4 -1 22042510 description https://api.openml.org/data/download/22042510/description.xml -1 22042511 predictions https://api.openml.org/data/download/22042511/predictions.arff area_under_roc_curve 0.5843147928994082 [0.584315,0.584315] average_cost 0 f_measure 0.5665368584942991 [0.56737,0.565703] kappa 0.1330769230769231 kb_relative_information_score 0.08884879538142157 mean_absolute_error 0.45934867176218747 mean_prior_absolute_error 0.5 weighted_recall 0.5665384615384615 [0.568462,0.564615] number_of_instances 2600 [1300,1300] precision 0.5665394458497907 [0.566284,0.566795] predictive_accuracy 0.5665384615384615 prior_entropy 1 relative_absolute_error 0.9186973435243749 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5356581482306604 root_relative_squared_error 1.0713162964613208 total_cost 0 unweighted_recall 0.5665384615384615 [0.568462,0.564615] area_under_roc_curve 0.6055621301775148 [0.605562,0.605562] area_under_roc_curve 0.5957396449704142 [0.59574,0.59574] area_under_roc_curve 0.5094674556213018 [0.509467,0.509467] area_under_roc_curve 0.572603550295858 [0.572604,0.572604] area_under_roc_curve 0.6500591715976332 [0.650059,0.650059] area_under_roc_curve 0.5761538461538461 [0.576154,0.576154] area_under_roc_curve 0.5360946745562131 [0.536095,0.536095] area_under_roc_curve 0.5926627218934911 [0.592663,0.592663] area_under_roc_curve 0.5893491124260355 [0.589349,0.589349] area_under_roc_curve 0.6243195266272189 [0.62432,0.62432] 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 0.5884554505244161 [0.590038,0.586873] f_measure 0.5417586160932478 [0.557621,0.525896] f_measure 0.5229640151515151 [0.515625,0.530303] f_measure 0.5730200766374222 [0.568093,0.577947] f_measure 0.6574440052700922 [0.648221,0.666667] f_measure 0.5346085001257415 [0.532819,0.536398] f_measure 0.5192236571546917 [0.517375,0.521073] f_measure 0.5608888888888889 [0.544,0.577778] f_measure 0.5804651300498882 [0.59176,0.56917] f_measure 0.5834075129072458 [0.605839,0.560976] kappa 0.17692307692307696 kappa 0.08461538461538454 kappa 0.04615384615384621 kappa 0.14615384615384608 kappa 0.3153846153846154 kappa 0.0692307692307692 kappa 0.03846153846153855 kappa 0.12307692307692308 kappa 0.16153846153846163 kappa 0.1692307692307693 kb_relative_information_score 0.11319988570040368 kb_relative_information_score 0.09069521477758354 kb_relative_information_score 0.011853660607225487 kb_relative_information_score 0.0748559904258235 kb_relative_information_score 0.16167988077640102 kb_relative_information_score 0.08184786942950219 kb_relative_information_score 0.03522458626779973 kb_relative_information_score 0.09883339115947395 kb_relative_information_score 0.09278507257979424 kb_relative_information_score 0.1275124020902102 mean_absolute_error 0.4486072782503261 mean_absolute_error 0.4566492298470059 mean_absolute_error 0.4953390379006928 mean_absolute_error 0.4658732737603075 mean_absolute_error 0.4285745396072697 mean_absolute_error 0.46162279872251266 mean_absolute_error 0.48378124661387756 mean_absolute_error 0.4537394505391648 mean_absolute_error 0.4586554257551622 mean_absolute_error 0.44064443662554764 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] number_of_instances 260 [130,130] precision 0.5884667731818451 [0.587786,0.589147] precision 0.5425114453891432 [0.539568,0.545455] precision 0.5230987917555082 [0.52381,0.522388] precision 0.5731158605174353 [0.574803,0.571429] precision 0.6581508515815084 [0.666667,0.649635] precision 0.5346174329842003 [0.534884,0.534351] precision 0.5192319072134446 [0.51938,0.519084] precision 0.5619047619047619 [0.566667,0.557143] precision 0.5810040947124799 [0.576642,0.585366] precision 0.5856082375478927 [0.576389,0.594828] predictive_accuracy 0.5884615384615385 predictive_accuracy 0.5423076923076924 predictive_accuracy 0.5230769230769231 predictive_accuracy 0.573076923076923 predictive_accuracy 0.6576923076923077 predictive_accuracy 0.5346153846153846 predictive_accuracy 0.5192307692307692 predictive_accuracy 0.5615384615384615 predictive_accuracy 0.5807692307692308 predictive_accuracy 0.5846153846153846 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 relative_absolute_error 0.8972145565006522 relative_absolute_error 0.9132984596940118 relative_absolute_error 0.9906780758013854 relative_absolute_error 0.931746547520615 relative_absolute_error 0.8571490792145394 relative_absolute_error 0.9232455974450253 relative_absolute_error 0.9675624932277551 relative_absolute_error 0.9074789010783296 relative_absolute_error 0.9173108515103244 relative_absolute_error 0.8812888732510953 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5248174835118042 root_mean_squared_error 0.5320824778486414 root_mean_squared_error 0.5728041342830033 root_mean_squared_error 0.5413363017437143 root_mean_squared_error 0.5068364304026027 root_mean_squared_error 0.5425937463458911 root_mean_squared_error 0.5521136292228822 root_mean_squared_error 0.5350542943047314 root_mean_squared_error 0.527735015325192 root_mean_squared_error 0.5183568761034472 root_relative_squared_error 1.0496349670236085 root_relative_squared_error 1.0641649556972828 root_relative_squared_error 1.1456082685660065 root_relative_squared_error 1.0826726034874286 root_relative_squared_error 1.0136728608052055 root_relative_squared_error 1.0851874926917822 root_relative_squared_error 1.1042272584457644 root_relative_squared_error 1.0701085886094628 root_relative_squared_error 1.055470030650384 root_relative_squared_error 1.0367137522068943 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 0.5884615384615385 [0.592308,0.584615] unweighted_recall 0.5423076923076923 [0.576923,0.507692] unweighted_recall 0.523076923076923 [0.507692,0.538462] unweighted_recall 0.573076923076923 [0.561538,0.584615] unweighted_recall 0.6576923076923077 [0.630769,0.684615] unweighted_recall 0.5346153846153846 [0.530769,0.538462] unweighted_recall 0.5192307692307692 [0.515385,0.523077] unweighted_recall 0.5615384615384615 [0.523077,0.6] unweighted_recall 0.5807692307692307 [0.607692,0.553846] unweighted_recall 0.5846153846153845 [0.638462,0.530769] usercpu_time_millis 463.3399999984249 usercpu_time_millis 482.0959999997285 usercpu_time_millis 517.4280000010185 usercpu_time_millis 470.96200000123645 usercpu_time_millis 527.5820000006206 usercpu_time_millis 504.3659999992087 usercpu_time_millis 486.75400000138325 usercpu_time_millis 460.46600000045146 usercpu_time_millis 626.53599999976 usercpu_time_millis 494.52799999926356 usercpu_time_millis_testing 8.045999999012565 usercpu_time_millis_testing 6.6079999996873084 usercpu_time_millis_testing 7.472000001143897 usercpu_time_millis_testing 8.84800000130781 usercpu_time_millis_testing 8.885999999620253 usercpu_time_millis_testing 8.021999999982654 usercpu_time_millis_testing 7.5800000013259705 usercpu_time_millis_testing 8.066000000326312 usercpu_time_millis_testing 12.380000000121072 usercpu_time_millis_testing 7.525999999415944 usercpu_time_millis_training 455.29399999941234 usercpu_time_millis_training 475.4880000000412 usercpu_time_millis_training 509.9559999998746 usercpu_time_millis_training 462.11399999992864 usercpu_time_millis_training 518.6960000010004 usercpu_time_millis_training 496.34399999922607 usercpu_time_millis_training 479.1740000000573 usercpu_time_millis_training 452.40000000012515 usercpu_time_millis_training 614.1559999996389 usercpu_time_millis_training 487.0019999998476 wall_clock_time_millis 230.26108741760254 wall_clock_time_millis 236.44375801086426 wall_clock_time_millis 274.5058536529541 wall_clock_time_millis 241.43409729003906 wall_clock_time_millis 287.7168655395508 wall_clock_time_millis 238.60502243041992 wall_clock_time_millis 262.44592666625977 wall_clock_time_millis 220.170259475708 wall_clock_time_millis 355.67402839660645 wall_clock_time_millis 232.83028602600098 wall_clock_time_millis_testing 3.443002700805664 wall_clock_time_millis_testing 1.7237663269042969 wall_clock_time_millis_testing 2.785921096801758 wall_clock_time_millis_testing 2.6731491088867188 wall_clock_time_millis_testing 2.240896224975586 wall_clock_time_millis_testing 2.196073532104492 wall_clock_time_millis_testing 2.376079559326172 wall_clock_time_millis_testing 5.398035049438477 wall_clock_time_millis_testing 3.173828125 wall_clock_time_millis_testing 2.2110939025878906 wall_clock_time_millis_training 226.81808471679688 wall_clock_time_millis_training 234.71999168395996 wall_clock_time_millis_training 271.71993255615234 wall_clock_time_millis_training 238.76094818115234 wall_clock_time_millis_training 285.4759693145752 wall_clock_time_millis_training 236.40894889831543 wall_clock_time_millis_training 260.0698471069336 wall_clock_time_millis_training 214.77222442626953 wall_clock_time_millis_training 352.50020027160645 wall_clock_time_millis_training 230.6191921234131 weighted_recall 0.5884615384615385 [0.592308,0.584615] weighted_recall 0.5423076923076923 [0.576923,0.507692] weighted_recall 0.5230769230769231 [0.507692,0.538462] weighted_recall 0.573076923076923 [0.561538,0.584615] weighted_recall 0.6576923076923077 [0.630769,0.684615] weighted_recall 0.5346153846153846 [0.530769,0.538462] weighted_recall 0.5192307692307693 [0.515385,0.523077] weighted_recall 0.5615384615384615 [0.523077,0.6] weighted_recall 0.5807692307692308 [0.607692,0.553846] weighted_recall 0.5846153846153846 [0.638462,0.530769]