10548563 8323 Heinrich Peters 9976 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275615 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 0.01 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. 1485 madelon https://www.openml.org/data/download/1590986/phpfLuQE4 -1 22022081 description https://api.openml.org/data/download/22022081/description.xml -1 22022082 predictions https://api.openml.org/data/download/22022082/predictions.arff area_under_roc_curve 0.5914443786982249 [0.591444,0.591444] average_cost 0 f_measure 0.5711507376310864 [0.572305,0.569996] kappa 0.14230769230769225 kb_relative_information_score 0.08039557996480332 mean_absolute_error 0.4646042928338849 mean_prior_absolute_error 0.5 weighted_recall 0.5711538461538461 [0.573846,0.568462] number_of_instances 2600 [1300,1300] precision 0.5711559092541737 [0.570773,0.571539] predictive_accuracy 0.5711538461538461 prior_entropy 1 relative_absolute_error 0.9292085856677698 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5145987186845686 root_relative_squared_error 1.0291974373691373 total_cost 0 unweighted_recall 0.5711538461538461 [0.573846,0.568462] area_under_roc_curve 0.6234319526627219 [0.623432,0.623432] area_under_roc_curve 0.6063905325443787 [0.606391,0.606391] area_under_roc_curve 0.5172189349112426 [0.517219,0.517219] area_under_roc_curve 0.568698224852071 [0.568698,0.568698] area_under_roc_curve 0.6603550295857988 [0.660355,0.660355] area_under_roc_curve 0.5918934911242604 [0.591893,0.591893] area_under_roc_curve 0.5417751479289941 [0.541775,0.541775] area_under_roc_curve 0.5898224852071006 [0.589822,0.589822] area_under_roc_curve 0.5865088757396449 [0.586509,0.586509] area_under_roc_curve 0.6291715976331361 [0.629172,0.629172] 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 0.6230769230769231 [0.623077,0.623077] f_measure 0.5671561924014509 [0.597122,0.53719] f_measure 0.5183686776626804 [0.497992,0.538745] f_measure 0.5692052784188414 [0.565891,0.572519] f_measure 0.6495801181889541 [0.63745,0.66171] f_measure 0.5268600849225488 [0.532319,0.521401] f_measure 0.5230769230769231 [0.523077,0.523077] f_measure 0.5753148016155857 [0.54918,0.601449] f_measure 0.5762962962962963 [0.592593,0.56] f_measure 0.5756928372203429 [0.59854,0.552846] kappa 0.24615384615384617 kappa 0.1384615384615384 kappa 0.03846153846153855 kappa 0.1384615384615384 kappa 0.30000000000000004 kappa 0.05384615384615388 kappa 0.04615384615384621 kappa 0.15384615384615374 kappa 0.15384615384615374 kappa 0.15384615384615374 kb_relative_information_score 0.11310962911987987 kb_relative_information_score 0.08980134408923114 kb_relative_information_score 0.01517101321834008 kb_relative_information_score 0.06398052534965257 kb_relative_information_score 0.13792515848524028 kb_relative_information_score 0.08060414760795548 kb_relative_information_score 0.03284372504505036 kb_relative_information_score 0.0835803633507434 kb_relative_information_score 0.07418646412554585 kb_relative_information_score 0.11275342925639296 mean_absolute_error 0.4511283480837694 mean_absolute_error 0.4596118853851914 mean_absolute_error 0.49337215498056175 mean_absolute_error 0.4720699221248398 mean_absolute_error 0.44117300639700385 mean_absolute_error 0.4632613814996248 mean_absolute_error 0.4850294331079617 mean_absolute_error 0.46249342488551853 mean_absolute_error 0.46808914341592955 mean_absolute_error 0.4498142284584568 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 0.6230769230769231 [0.623077,0.623077] precision 0.5705839768339769 [0.560811,0.580357] precision 0.5193694499076226 [0.521008,0.51773] precision 0.5692471590909092 [0.570312,0.568182] precision 0.6507223972887806 [0.661157,0.640288] precision 0.5269374222958972 [0.526316,0.527559] precision 0.5230769230769231 [0.523077,0.523077] precision 0.5781062244652728 [0.587719,0.568493] precision 0.5773809523809524 [0.571429,0.583333] precision 0.5778256704980842 [0.569444,0.586207] predictive_accuracy 0.6230769230769231 predictive_accuracy 0.5692307692307692 predictive_accuracy 0.5192307692307692 predictive_accuracy 0.5692307692307692 predictive_accuracy 0.65 predictive_accuracy 0.5269230769230769 predictive_accuracy 0.5230769230769231 predictive_accuracy 0.576923076923077 predictive_accuracy 0.576923076923077 predictive_accuracy 0.576923076923077 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 0.9022566961675388 relative_absolute_error 0.9192237707703828 relative_absolute_error 0.9867443099611235 relative_absolute_error 0.9441398442496794 relative_absolute_error 0.8823460127940078 relative_absolute_error 0.9265227629992496 relative_absolute_error 0.9700588662159234 relative_absolute_error 0.9249868497710371 relative_absolute_error 0.9361782868318591 relative_absolute_error 0.8996284569169135 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 0.5020764541907475 root_mean_squared_error 0.5090371372649977 root_mean_squared_error 0.5444443001647482 root_mean_squared_error 0.5234142800404765 root_mean_squared_error 0.4906615691327017 root_mean_squared_error 0.5138322747389095 root_mean_squared_error 0.5317681687624322 root_mean_squared_error 0.5145446822554174 root_mean_squared_error 0.5133998154666704 root_mean_squared_error 0.5006509436358877 root_relative_squared_error 1.004152908381495 root_relative_squared_error 1.0180742745299953 root_relative_squared_error 1.0888886003294964 root_relative_squared_error 1.046828560080953 root_relative_squared_error 0.9813231382654034 root_relative_squared_error 1.027664549477819 root_relative_squared_error 1.0635363375248643 root_relative_squared_error 1.0290893645108348 root_relative_squared_error 1.0267996309333407 root_relative_squared_error 1.0013018872717754 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 0.6230769230769231 [0.623077,0.623077] unweighted_recall 0.5692307692307692 [0.638462,0.5] unweighted_recall 0.5192307692307693 [0.476923,0.561538] unweighted_recall 0.5692307692307692 [0.561538,0.576923] unweighted_recall 0.65 [0.615385,0.684615] unweighted_recall 0.5269230769230768 [0.538462,0.515385] unweighted_recall 0.5230769230769231 [0.523077,0.523077] unweighted_recall 0.5769230769230769 [0.515385,0.638462] unweighted_recall 0.5769230769230769 [0.615385,0.538462] unweighted_recall 0.5769230769230769 [0.630769,0.523077] usercpu_time_millis 321.16742996731773 usercpu_time_millis 276.96013607783243 usercpu_time_millis 246.99938495177776 usercpu_time_millis 221.28658305155113 usercpu_time_millis 231.91615706309676 usercpu_time_millis 228.8659139885567 usercpu_time_millis 230.19055498298258 usercpu_time_millis 228.51566801546142 usercpu_time_millis 222.1824710140936 usercpu_time_millis 222.83204598352313 usercpu_time_millis_testing 3.3075339742936194 usercpu_time_millis_testing 3.324914025142789 usercpu_time_millis_testing 2.613173972349614 usercpu_time_millis_testing 2.5092310388572514 usercpu_time_millis_testing 2.6419780333526433 usercpu_time_millis_testing 2.604710985906422 usercpu_time_millis_testing 2.50850897282362 usercpu_time_millis_testing 2.5339379790239036 usercpu_time_millis_testing 2.556049032136798 usercpu_time_millis_testing 2.4796610232442617 usercpu_time_millis_training 317.8598959930241 usercpu_time_millis_training 273.63522205268964 usercpu_time_millis_training 244.38621097942814 usercpu_time_millis_training 218.77735201269388 usercpu_time_millis_training 229.27417902974412 usercpu_time_millis_training 226.2612030026503 usercpu_time_millis_training 227.68204601015896 usercpu_time_millis_training 225.9817300364375 usercpu_time_millis_training 219.6264219819568 usercpu_time_millis_training 220.35238496027887 wall_clock_time_millis 321.18964195251465 wall_clock_time_millis 277.0121097564697 wall_clock_time_millis 247.35784530639648 wall_clock_time_millis 221.31752967834473 wall_clock_time_millis 231.92858695983887 wall_clock_time_millis 228.96528244018555 wall_clock_time_millis 230.24392127990723 wall_clock_time_millis 228.8339138031006 wall_clock_time_millis 222.2425937652588 wall_clock_time_millis 222.86558151245117 wall_clock_time_millis_testing 3.31878662109375 wall_clock_time_millis_testing 3.3359527587890625 wall_clock_time_millis_testing 2.625703811645508 wall_clock_time_millis_testing 2.517223358154297 wall_clock_time_millis_testing 2.6514530181884766 wall_clock_time_millis_testing 2.6144981384277344 wall_clock_time_millis_testing 2.5167465209960938 wall_clock_time_millis_testing 2.5415420532226562 wall_clock_time_millis_testing 2.5649070739746094 wall_clock_time_millis_testing 2.4917125701904297 wall_clock_time_millis_training 317.8708553314209 wall_clock_time_millis_training 273.67615699768066 wall_clock_time_millis_training 244.73214149475098 wall_clock_time_millis_training 218.80030632019043 wall_clock_time_millis_training 229.2771339416504 wall_clock_time_millis_training 226.3507843017578 wall_clock_time_millis_training 227.72717475891113 wall_clock_time_millis_training 226.29237174987793 wall_clock_time_millis_training 219.67768669128418 wall_clock_time_millis_training 220.37386894226074 weighted_recall 0.6230769230769231 [0.623077,0.623077] weighted_recall 0.5692307692307692 [0.638462,0.5] weighted_recall 0.5192307692307693 [0.476923,0.561538] weighted_recall 0.5692307692307692 [0.561538,0.576923] weighted_recall 0.65 [0.615385,0.684615] weighted_recall 0.5269230769230769 [0.538462,0.515385] weighted_recall 0.5230769230769231 [0.523077,0.523077] weighted_recall 0.5769230769230769 [0.515385,0.638462] weighted_recall 0.5769230769230769 [0.615385,0.538462] weighted_recall 0.5769230769230769 [0.630769,0.523077]