10547036 8323 Heinrich Peters 3904 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275631 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 25.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 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. 1053 jm1 https://www.openml.org/data/download/53936/jm1.arff -1 22019027 description https://api.openml.org/data/download/22019027/description.xml -1 22019028 predictions https://api.openml.org/data/download/22019028/predictions.arff area_under_roc_curve 0.713469843590966 [0.71347,0.71347] average_cost 0 f_measure 0.7588469065368195 [0.894316,0.194136] kappa 0.1389576000177966 kb_relative_information_score 0.05285143599641174 mean_absolute_error 0.2787981413446422 mean_prior_absolute_error 0.31212214303703906 weighted_recall 0.8131373449701425 [0.980294,0.116334] number_of_instances 10885 [8779,2106] precision 0.7765272515451899 [0.822203,0.586124] predictive_accuracy 0.8131373449701423 prior_entropy 0.7086892261862012 relative_absolute_error 0.8932340994197187 root_mean_prior_squared_error 0.3950238150239175 root_mean_squared_error 0.37418377847648565 root_relative_squared_error 0.9472435945509513 total_cost 0 unweighted_recall 0.5483140830655734 [0.980294,0.116334] area_under_roc_curve 0.7136452946701357 [0.713645,0.713645] area_under_roc_curve 0.7439408824450227 [0.743941,0.743941] area_under_roc_curve 0.7128814949961675 [0.712881,0.712881] area_under_roc_curve 0.6955785984950718 [0.695579,0.695579] area_under_roc_curve 0.7147734510790357 [0.714773,0.714773] area_under_roc_curve 0.7269687601692157 [0.726969,0.726969] area_under_roc_curve 0.7107414036229526 [0.710741,0.710741] area_under_roc_curve 0.6909290595509274 [0.690929,0.690929] area_under_roc_curve 0.7103915826011498 [0.710392,0.710392] area_under_roc_curve 0.7198225315730599 [0.719823,0.719823] 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 0.7679357469227355 [0.895616,0.236641] f_measure 0.763627251100408 [0.89605,0.212598] f_measure 0.7691536266756134 [0.899948,0.2249] f_measure 0.7565873141067407 [0.894191,0.184] f_measure 0.7565360686334202 [0.892931,0.188976] f_measure 0.7492459987943016 [0.891654,0.153846] f_measure 0.7612437978950528 [0.896838,0.194332] f_measure 0.7685652982972175 [0.896767,0.232558] f_measure 0.7552428110439253 [0.893617,0.176707] f_measure 0.7397601827936102 [0.885536,0.133858] kappa 0.17436200700541293 kappa 0.1573164125976937 kappa 0.17618030377266003 kappa 0.13149746669168705 kappa 0.13203590497562476 kappa 0.10191314238771546 kappa 0.1448838054313658 kappa 0.17317612380250555 kappa 0.12372511118444805 kappa 0.0729882342005997 kb_relative_information_score 0.052939592624381276 kb_relative_information_score 0.07014132816406456 kb_relative_information_score 0.07138890464057789 kb_relative_information_score 0.05115459237324069 kb_relative_information_score 0.04372477444963391 kb_relative_information_score 0.04743205600702144 kb_relative_information_score 0.07518262714076925 kb_relative_information_score 0.04534102352390781 kb_relative_information_score 0.03770799454211025 kb_relative_information_score 0.03347606819854799 mean_absolute_error 0.2771084970290261 mean_absolute_error 0.27653348737382916 mean_absolute_error 0.2756139800535704 mean_absolute_error 0.27995189476409 mean_absolute_error 0.28055220487167787 mean_absolute_error 0.27957401950218047 mean_absolute_error 0.2751985028534703 mean_absolute_error 0.2789240850506442 mean_absolute_error 0.2817399015251548 mean_absolute_error 0.28278872888107554 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 0.7842062136828913 [0.82659,0.607843] precision 0.786079846974264 [0.824092,0.627907] precision 0.8086284889420658 [0.82588,0.736842] precision 0.7761543506998053 [0.820952,0.589744] precision 0.7702496406670972 [0.821224,0.55814] precision 0.7594461573427683 [0.818268,0.513514] precision 0.789368356505047 [0.823026,0.648649] precision 0.7879489536199095 [0.826923,0.625] precision 0.7712388495399627 [0.820782,0.564103] precision 0.7330947806962999 [0.814354,0.395349] predictive_accuracy 0.8163452708907255 predictive_accuracy 0.8163452708907255 predictive_accuracy 0.82277318640955 predictive_accuracy 0.8126721763085399 predictive_accuracy 0.8108356290174471 predictive_accuracy 0.807904411764706 predictive_accuracy 0.817095588235294 predictive_accuracy 0.8180147058823529 predictive_accuracy 0.8115808823529411 predictive_accuracy 0.7977941176470589 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 0.8873354422337062 relative_absolute_error 0.8854941906944961 relative_absolute_error 0.8825498153202055 relative_absolute_error 0.8964403510103753 relative_absolute_error 0.8983626177055681 relative_absolute_error 0.8965342817693505 relative_absolute_error 0.8825029326368157 relative_absolute_error 0.8944500805344046 relative_absolute_error 0.9034798037006161 relative_absolute_error 0.9052078507231609 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 0.37138181207213655 root_mean_squared_error 0.36932339236025064 root_mean_squared_error 0.3706044391388315 root_mean_squared_error 0.37739053222514707 root_mean_squared_error 0.3765738054781281 root_mean_squared_error 0.37641994223393044 root_mean_squared_error 0.3700595293351723 root_mean_squared_error 0.3752607182884037 root_mean_squared_error 0.3758146581811123 root_mean_squared_error 0.3788696641225697 root_relative_squared_error 0.9396366686663853 root_relative_squared_error 0.9344286412996117 root_relative_squared_error 0.9376698299854961 root_relative_squared_error 0.9548393888966014 root_relative_squared_error 0.9527729807558856 root_relative_squared_error 0.9537712747957954 root_relative_squared_error 0.9376552872031239 root_relative_squared_error 0.9508340380124908 root_relative_squared_error 0.9522376085951053 root_relative_squared_error 0.9582470290752694 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 0.5620701939997194 [0.977221,0.146919] unweighted_recall 0.5548694253419555 [0.981777,0.127962] unweighted_recall 0.5606559500804283 [0.98861,0.132701] unweighted_recall 0.5453907523561735 [0.981777,0.109005] unweighted_recall 0.5460519923566054 [0.97836,0.113744] unweighted_recall 0.5349875257620132 [0.979499,0.090476] unweighted_recall 0.5497396680767979 [0.985194,0.114286] unweighted_recall 0.5611780019524895 [0.979499,0.142857] unweighted_recall 0.5426998589868749 [0.980638,0.104762] unweighted_recall 0.5254610990721276 [0.970353,0.080569] usercpu_time_millis 260.4775539948605 usercpu_time_millis 245.63846801174805 usercpu_time_millis 179.14438294246793 usercpu_time_millis 181.25025898916647 usercpu_time_millis 177.0629419479519 usercpu_time_millis 193.30874300794676 usercpu_time_millis 182.65795102342963 usercpu_time_millis 167.13543300284073 usercpu_time_millis 193.46643995959312 usercpu_time_millis 179.3669960461557 usercpu_time_millis_testing 1.2658220366574824 usercpu_time_millis_testing 1.1931239860132337 usercpu_time_millis_testing 1.1472109472379088 usercpu_time_millis_testing 1.1960080009885132 usercpu_time_millis_testing 1.1286769877187908 usercpu_time_millis_testing 1.1263799970038235 usercpu_time_millis_testing 1.1627750354819 usercpu_time_millis_testing 1.2460110010579228 usercpu_time_millis_testing 1.1418379726819694 usercpu_time_millis_testing 1.0736460098996758 usercpu_time_millis_training 259.211731958203 usercpu_time_millis_training 244.4453440257348 usercpu_time_millis_training 177.99717199523002 usercpu_time_millis_training 180.05425098817796 usercpu_time_millis_training 175.93426496023312 usercpu_time_millis_training 192.18236301094294 usercpu_time_millis_training 181.49517598794773 usercpu_time_millis_training 165.8894220017828 usercpu_time_millis_training 192.32460198691115 usercpu_time_millis_training 178.29335003625602 wall_clock_time_millis 260.49041748046875 wall_clock_time_millis 245.652437210083 wall_clock_time_millis 179.1524887084961 wall_clock_time_millis 181.26296997070312 wall_clock_time_millis 177.07276344299316 wall_clock_time_millis 193.4070587158203 wall_clock_time_millis 182.67297744750977 wall_clock_time_millis 167.1602725982666 wall_clock_time_millis 193.47763061523438 wall_clock_time_millis 179.37850952148438 wall_clock_time_millis_testing 1.276254653930664 wall_clock_time_millis_testing 1.2021064758300781 wall_clock_time_millis_testing 1.1544227600097656 wall_clock_time_millis_testing 1.2018680572509766 wall_clock_time_millis_testing 1.1370182037353516 wall_clock_time_millis_testing 1.1360645294189453 wall_clock_time_millis_testing 1.1708736419677734 wall_clock_time_millis_testing 1.2514591217041016 wall_clock_time_millis_testing 1.150369644165039 wall_clock_time_millis_testing 1.0790824890136719 wall_clock_time_millis_training 259.2141628265381 wall_clock_time_millis_training 244.45033073425293 wall_clock_time_millis_training 177.99806594848633 wall_clock_time_millis_training 180.06110191345215 wall_clock_time_millis_training 175.9357452392578 wall_clock_time_millis_training 192.27099418640137 wall_clock_time_millis_training 181.502103805542 wall_clock_time_millis_training 165.9088134765625 wall_clock_time_millis_training 192.32726097106934 wall_clock_time_millis_training 178.2994270324707 weighted_recall 0.8163452708907254 [0.977221,0.146919] weighted_recall 0.8163452708907254 [0.981777,0.127962] weighted_recall 0.82277318640955 [0.98861,0.132701] weighted_recall 0.8126721763085399 [0.981777,0.109005] weighted_recall 0.8108356290174472 [0.97836,0.113744] weighted_recall 0.8079044117647058 [0.979499,0.090476] weighted_recall 0.8170955882352942 [0.985194,0.114286] weighted_recall 0.8180147058823529 [0.979499,0.142857] weighted_recall 0.8115808823529411 [0.980638,0.104762] weighted_recall 0.7977941176470589 [0.970353,0.080569]