10558069 8323 Heinrich Peters 3904 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275913 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 1.0229391816 17462 class_weight null 17462 dual true 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 309 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 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. 1053 jm1 https://www.openml.org/data/download/53936/jm1.arff -1 22041098 description https://api.openml.org/data/download/22041098/description.xml -1 22041099 predictions https://api.openml.org/data/download/22041099/predictions.arff area_under_roc_curve 0.7134585393119015 [0.713459,0.713459] average_cost 0 f_measure 0.7570268628574408 [0.89392,0.18638] kappa 0.1322200272180515 kb_relative_information_score 0.05180768262235403 mean_absolute_error 0.27945174362841946 mean_prior_absolute_error 0.31212214303703906 weighted_recall 0.8123105190629306 [0.980522,0.111111] number_of_instances 10885 [8779,2106] precision 0.7742437067608271 [0.821374,0.577778] predictive_accuracy 0.8123105190629306 prior_entropy 0.7086892261862012 relative_absolute_error 0.8953281587434742 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.3742989438185499 root_relative_squared_error 0.9475351348016504 total_cost 0 unweighted_recall 0.5458164053106529 [0.980522,0.111111] area_under_roc_curve 0.7127924300165175 [0.712792,0.712792] area_under_roc_curve 0.7426345960768226 [0.742635,0.742635] area_under_roc_curve 0.7158017467531766 [0.715802,0.715802] area_under_roc_curve 0.6958916753932353 [0.695892,0.695892] area_under_roc_curve 0.715933994753263 [0.715934,0.715934] area_under_roc_curve 0.7292629352424341 [0.729263,0.729263] area_under_roc_curve 0.7106220848248183 [0.710622,0.710622] area_under_roc_curve 0.6891663954875799 [0.689166,0.689166] area_under_roc_curve 0.7088784032975377 [0.708878,0.708878] area_under_roc_curve 0.7191578355769075 [0.719158,0.719158] 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 0.7658179753845716 [0.895833,0.224806] f_measure 0.761883109105531 [0.895584,0.205534] f_measure 0.7673908412371938 [0.899482,0.217742] f_measure 0.75480048429275 [0.893727,0.176707] f_measure 0.755928325611391 [0.892356,0.188235] f_measure 0.746164993082051 [0.891304,0.139344] f_measure 0.757649136816819 [0.895909,0.179592] f_measure 0.7668607843455316 [0.8963,0.225681] f_measure 0.7552428110439253 [0.893617,0.176707] f_measure 0.7379585252580063 [0.885075,0.126482] kappa 0.16592628902300774 kappa 0.1509117780544857 kappa 0.16974117536096334 kappa 0.12495835374816222 kappa 0.13006749586110283 kappa 0.09041689225771514 kappa 0.13170809179703027 kappa 0.16686419677076778 kappa 0.12372511118444805 kappa 0.06636638968703888 kb_relative_information_score 0.05225183000326702 kb_relative_information_score 0.06844230237371163 kb_relative_information_score 0.07118484482767165 kb_relative_information_score 0.04995202705338156 kb_relative_information_score 0.04310559151555248 kb_relative_information_score 0.052750044082886444 kb_relative_information_score 0.07060544604510388 kb_relative_information_score 0.04286739514325362 kb_relative_information_score 0.03495618461247093 kb_relative_information_score 0.03193461253827552 mean_absolute_error 0.27761534545291394 mean_absolute_error 0.27738930651459626 mean_absolute_error 0.27613119968963545 mean_absolute_error 0.2805651970718897 mean_absolute_error 0.28119603758661305 mean_absolute_error 0.27893018333823166 mean_absolute_error 0.27652349195272263 mean_absolute_error 0.27991323307544963 mean_absolute_error 0.2827450495820095 mean_absolute_error 0.28351240087291235 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.312292830692591 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3118386270187333 mean_prior_absolute_error 0.3124019844228689 number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1089 [878,211] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [878,210] number_of_instances 1088 [877,211] precision 0.7849737401187707 [0.825336,0.617021] precision 0.7837287021970533 [0.823305,0.619048] precision 0.8066174775473081 [0.825095,0.72973] precision 0.7734327509752145 [0.820171,0.578947] precision 0.7676539206769741 [0.821053,0.545455] precision 0.7557239926331064 [0.816888,0.5] precision 0.7842316770012848 [0.821462,0.628571] precision 0.785767910236018 [0.826129,0.617021] precision 0.7712388495399627 [0.820782,0.564103] precision 0.7296752651825549 [0.813576,0.380952] predictive_accuracy 0.8163452708907255 predictive_accuracy 0.815426997245179 predictive_accuracy 0.8218549127640037 predictive_accuracy 0.8117539026629936 predictive_accuracy 0.8099173553719008 predictive_accuracy 0.8069852941176471 predictive_accuracy 0.8152573529411765 predictive_accuracy 0.817095588235294 predictive_accuracy 0.8115808823529411 predictive_accuracy 0.796875 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7092626186985694 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7077368083817637 prior_entropy 0.7096292997655923 relative_absolute_error 0.8889584331386325 relative_absolute_error 0.8882346286958075 relative_absolute_error 0.8842060161203262 relative_absolute_error 0.8984042203263617 relative_absolute_error 0.900424249134978 relative_absolute_error 0.8944696364426825 relative_absolute_error 0.8867518902208059 relative_absolute_error 0.8976220673862645 relative_absolute_error 0.9067030992444178 relative_absolute_error 0.907524327659675 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.395239803273359 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.39466479247293623 root_mean_prior_squared_error 0.3953778646078222 root_mean_squared_error 0.37133752588985586 root_mean_squared_error 0.36952039979103346 root_mean_squared_error 0.3704134274483875 root_mean_squared_error 0.37729957344751947 root_mean_squared_error 0.3765633659199074 root_mean_squared_error 0.3749510421990065 root_mean_squared_error 0.37128494866964684 root_mean_squared_error 0.37559644045812673 root_mean_squared_error 0.37659226791658534 root_mean_squared_error 0.379299573440386 root_relative_squared_error 0.9395246197737538 root_relative_squared_error 0.9349270916812564 root_relative_squared_error 0.9371865494837298 root_relative_squared_error 0.9546092532248541 root_relative_squared_error 0.952746567529955 root_relative_squared_error 0.950049382032775 root_relative_squared_error 0.9407602495860011 root_relative_squared_error 0.9516846894415668 root_relative_squared_error 0.9542079128895437 root_relative_squared_error 0.9593343669267261 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 0.5584698096708375 [0.979499,0.137441] unweighted_recall 0.55249975709551 [0.981777,0.123223] unweighted_recall 0.5582862818339829 [0.98861,0.127962] unweighted_recall 0.543021084109728 [0.981777,0.104265] unweighted_recall 0.5454825162746009 [0.977221,0.113744] unweighted_recall 0.530795097082113 [0.980638,0.080952] unweighted_recall 0.5449777633148931 [0.985194,0.104762] unweighted_recall 0.5587970495715371 [0.979499,0.138095] unweighted_recall 0.5426998589868749 [0.980638,0.104762] unweighted_recall 0.5230914308256821 [0.970353,0.075829] usercpu_time_millis 856.2100000017381 usercpu_time_millis 1127.2700000008626 usercpu_time_millis 1116.2420000000566 usercpu_time_millis 1093.698000000586 usercpu_time_millis 1123.7199999995937 usercpu_time_millis 1192.4079999989772 usercpu_time_millis 1098.3140000025742 usercpu_time_millis 1105.4799999983516 usercpu_time_millis 1095.9919999986596 usercpu_time_millis 1089.4680000019434 usercpu_time_millis_testing 2.0760000006703194 usercpu_time_millis_testing 2.0100000001548324 usercpu_time_millis_testing 1.9160000010742806 usercpu_time_millis_testing 1.445999998395564 usercpu_time_millis_testing 5.425999999715714 usercpu_time_millis_testing 1.883999997517094 usercpu_time_millis_testing 1.9380000012461096 usercpu_time_millis_testing 2.153999997972278 usercpu_time_millis_testing 1.7759999973350205 usercpu_time_millis_testing 1.8760000020847656 usercpu_time_millis_training 854.1340000010678 usercpu_time_millis_training 1125.2600000007078 usercpu_time_millis_training 1114.3259999989823 usercpu_time_millis_training 1092.2520000021905 usercpu_time_millis_training 1118.293999999878 usercpu_time_millis_training 1190.52400000146 usercpu_time_millis_training 1096.376000001328 usercpu_time_millis_training 1103.3260000003793 usercpu_time_millis_training 1094.2160000013246 usercpu_time_millis_training 1087.5919999998587 wall_clock_time_millis 445.2090263366699 wall_clock_time_millis 428.7071228027344 wall_clock_time_millis 433.5780143737793 wall_clock_time_millis 433.7952136993408 wall_clock_time_millis 436.2759590148926 wall_clock_time_millis 483.4620952606201 wall_clock_time_millis 436.19489669799805 wall_clock_time_millis 461.5952968597412 wall_clock_time_millis 443.5403347015381 wall_clock_time_millis 441.087007522583 wall_clock_time_millis_testing 1.0390281677246094 wall_clock_time_millis_testing 1.0170936584472656 wall_clock_time_millis_testing 0.9758472442626953 wall_clock_time_millis_testing 0.6899833679199219 wall_clock_time_millis_testing 3.7980079650878906 wall_clock_time_millis_testing 0.9601116180419922 wall_clock_time_millis_testing 0.9970664978027344 wall_clock_time_millis_testing 1.0771751403808594 wall_clock_time_millis_testing 0.8802413940429688 wall_clock_time_millis_testing 0.9639263153076172 wall_clock_time_millis_training 444.1699981689453 wall_clock_time_millis_training 427.6900291442871 wall_clock_time_millis_training 432.6021671295166 wall_clock_time_millis_training 433.1052303314209 wall_clock_time_millis_training 432.4779510498047 wall_clock_time_millis_training 482.5019836425781 wall_clock_time_millis_training 435.1978302001953 wall_clock_time_millis_training 460.51812171936035 wall_clock_time_millis_training 442.6600933074951 wall_clock_time_millis_training 440.1230812072754 weighted_recall 0.8163452708907254 [0.979499,0.137441] weighted_recall 0.8154269972451791 [0.981777,0.123223] weighted_recall 0.8218549127640037 [0.98861,0.127962] weighted_recall 0.8117539026629935 [0.981777,0.104265] weighted_recall 0.8099173553719008 [0.977221,0.113744] weighted_recall 0.8069852941176471 [0.980638,0.080952] weighted_recall 0.8152573529411765 [0.985194,0.104762] weighted_recall 0.8170955882352942 [0.979499,0.138095] weighted_recall 0.8115808823529411 [0.980638,0.104762] weighted_recall 0.796875 [0.970353,0.075829]