10557885 8323 Heinrich Peters 43 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275910 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 100000.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 67 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. 44 spambase https://www.openml.org/data/download/44/dataset_44_spambase.arff -1 22040730 description https://api.openml.org/data/download/22040730/description.xml -1 22040731 predictions https://api.openml.org/data/download/22040731/predictions.arff area_under_roc_curve 0.9719986214657255 [0.971999,0.971999] average_cost 0 f_measure 0.9278090368442123 [0.941343,0.906996] kappa 0.848373495601288 kb_relative_information_score 0.7666773796614127 mean_absolute_error 0.11909700067274741 mean_prior_absolute_error 0.4775567355102225 weighted_recall 0.9280591175831341 [0.952654,0.890237] number_of_instances 4601 [2788,1813] precision 0.9279732146149066 [0.930298,0.924399] predictive_accuracy 0.9280591175831341 prior_entropy 0.9673602435836202 relative_absolute_error 0.2493881706966272 root_mean_prior_squared_error 0.48864454562025317 root_mean_squared_error 0.2416089888990635 root_relative_squared_error 0.4944473259030876 total_cost 0 unweighted_recall 0.9214457041880695 [0.952654,0.890237] area_under_roc_curve 0.975205797786443 [0.975206,0.975206] area_under_roc_curve 0.973792394655704 [0.973792,0.973792] area_under_roc_curve 0.9792869001502096 [0.979287,0.979287] area_under_roc_curve 0.9862373512346779 [0.986237,0.986237] area_under_roc_curve 0.9648507891245371 [0.964851,0.964851] area_under_roc_curve 0.9731875878730272 [0.973188,0.973188] area_under_roc_curve 0.9606724885641299 [0.960672,0.960672] area_under_roc_curve 0.9756232796689044 [0.975623,0.975623] area_under_roc_curve 0.9741579041169132 [0.974158,0.974158] area_under_roc_curve 0.9614051763401256 [0.961405,0.961405] 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 0.9193592987183162 [0.934744,0.895775] f_measure 0.9347826086956522 [0.946043,0.917582] f_measure 0.9390096618357489 [0.95,0.922222] f_measure 0.9519714988286536 [0.961131,0.937853] f_measure 0.8992122819709026 [0.91958,0.867816] f_measure 0.9282256752683523 [0.940966,0.908587] f_measure 0.9304347826086956 [0.942652,0.911602] f_measure 0.9213163864610588 [0.93662,0.897727] f_measure 0.9324360186579844 [0.944938,0.913165] f_measure 0.9210203743871352 [0.937282,0.895954] kappa 0.8305870901741108 kappa 0.8636255830500436 kappa 0.8722323625109119 kappa 0.899016105534157 kappa 0.7876056451127216 kappa 0.8495540138751239 kappa 0.8542545396938552 kappa 0.8344298026355257 kappa 0.8581207466072351 kappa 0.8334506688122297 kb_relative_information_score 0.7572855294939715 kb_relative_information_score 0.7750443077886483 kb_relative_information_score 0.7973629301838575 kb_relative_information_score 0.7974939511140989 kb_relative_information_score 0.7290675130984277 kb_relative_information_score 0.7698292388308664 kb_relative_information_score 0.7618751409710662 kb_relative_information_score 0.7532348884086092 kb_relative_information_score 0.7662201446837245 kb_relative_information_score 0.7593340340231385 mean_absolute_error 0.12359933288560802 mean_absolute_error 0.11622383023908237 mean_absolute_error 0.10478105756973523 mean_absolute_error 0.10538291302266847 mean_absolute_error 0.13349733779925854 mean_absolute_error 0.11781674456274856 mean_absolute_error 0.12075279748264357 mean_absolute_error 0.1258081247913982 mean_absolute_error 0.12052666827970315 mean_absolute_error 0.12257141241590785 mean_prior_absolute_error 0.47771541996330835 mean_prior_absolute_error 0.4778972125929219 mean_prior_absolute_error 0.4778972125929219 mean_prior_absolute_error 0.4774367378552744 mean_prior_absolute_error 0.4774367378552744 mean_prior_absolute_error 0.4774367378552744 mean_prior_absolute_error 0.4774367378552744 mean_prior_absolute_error 0.4774367378552744 mean_prior_absolute_error 0.4774367378552744 mean_prior_absolute_error 0.4774367378552744 number_of_instances 461 [279,182] number_of_instances 460 [278,182] number_of_instances 460 [278,182] number_of_instances 460 [279,181] number_of_instances 460 [279,181] number_of_instances 460 [279,181] number_of_instances 460 [279,181] number_of_instances 460 [279,181] number_of_instances 460 [279,181] number_of_instances 460 [279,181] precision 0.9197189290684991 [0.920139,0.919075] precision 0.9347826086956522 [0.946043,0.917582] precision 0.9390375813766557 [0.943262,0.932584] precision 0.9523791718368122 [0.947735,0.959538] precision 0.9002002820297971 [0.897611,0.904192] precision 0.9281996204278813 [0.939286,0.911111] precision 0.9304347826086956 [0.942652,0.911602] precision 0.9218165518102964 [0.920415,0.923977] precision 0.9324947461448533 [0.93662,0.926136] precision 0.9226966793952792 [0.911864,0.939394] predictive_accuracy 0.9197396963123644 predictive_accuracy 0.9347826086956522 predictive_accuracy 0.9391304347826087 predictive_accuracy 0.9521739130434783 predictive_accuracy 0.9 predictive_accuracy 0.9282608695652174 predictive_accuracy 0.9304347826086956 predictive_accuracy 0.9217391304347826 predictive_accuracy 0.9326086956521739 predictive_accuracy 0.9217391304347826 prior_entropy 0.9678251482974407 prior_entropy 0.9683577540367926 prior_entropy 0.9683577540367926 prior_entropy 0.9670086812574452 prior_entropy 0.9670086812574452 prior_entropy 0.9670086812574452 prior_entropy 0.9670086812574452 prior_entropy 0.9670086812574452 prior_entropy 0.9670086812574452 prior_entropy 0.9670086812574452 relative_absolute_error 0.2587300466355079 relative_absolute_error 0.24319838487545875 relative_absolute_error 0.2192543810858945 relative_absolute_error 0.22072644324788687 relative_absolute_error 0.27961262134738707 relative_absolute_error 0.2467693313505807 relative_absolute_error 0.2529189480162028 relative_absolute_error 0.2635074237406809 relative_absolute_error 0.2524453162551526 relative_absolute_error 0.25672807033350453 root_mean_prior_squared_error 0.48880689072220973 root_mean_prior_squared_error 0.48899281083378704 root_mean_prior_squared_error 0.48899281083378704 root_mean_prior_squared_error 0.488521743947473 root_mean_prior_squared_error 0.488521743947473 root_mean_prior_squared_error 0.488521743947473 root_mean_prior_squared_error 0.488521743947473 root_mean_prior_squared_error 0.488521743947473 root_mean_prior_squared_error 0.488521743947473 root_mean_prior_squared_error 0.488521743947473 root_mean_squared_error 0.24487545823312587 root_mean_squared_error 0.2301380066425602 root_mean_squared_error 0.22097403669004492 root_mean_squared_error 0.21110490993528258 root_mean_squared_error 0.2711285861155021 root_mean_squared_error 0.23925455151650998 root_mean_squared_error 0.2549389880606202 root_mean_squared_error 0.2429612049708265 root_mean_squared_error 0.23720122220545306 root_mean_squared_error 0.25764583325916435 root_relative_squared_error 0.5009656428356065 root_relative_squared_error 0.47063678962917543 root_relative_squared_error 0.45189628925885367 root_relative_squared_error 0.4321300178564439 root_relative_squared_error 0.5549979903139266 root_relative_squared_error 0.489752103116694 root_relative_squared_error 0.5218580159822566 root_relative_squared_error 0.4973395923129068 root_relative_squared_error 0.4855489548709986 root_relative_squared_error 0.5273989058854809 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 0.9117235810784198 [0.949821,0.873626] unweighted_recall 0.9318127915250217 [0.946043,0.917582] unweighted_recall 0.9344612222310065 [0.956835,0.912088] unweighted_recall 0.9460187330442187 [0.97491,0.917127] unweighted_recall 0.8884532366977564 [0.942652,0.834254] unweighted_recall 0.9243648389077012 [0.942652,0.906077] unweighted_recall 0.9271272698469277 [0.942652,0.911602] unweighted_recall 0.9131665973583636 [0.953405,0.872928] unweighted_recall 0.9269787520544961 [0.953405,0.900552] unweighted_recall 0.9102556486267055 [0.964158,0.856354] usercpu_time_millis 585.8319999988453 usercpu_time_millis 717.6939999990282 usercpu_time_millis 1122.6859999997032 usercpu_time_millis 1028.6180000002787 usercpu_time_millis 797.7779999991981 usercpu_time_millis 952.9759999986709 usercpu_time_millis 1177.0660000001953 usercpu_time_millis 1129.6140000004016 usercpu_time_millis 762.2480000009091 usercpu_time_millis 791.9780000001992 usercpu_time_millis_testing 1.3499999995474354 usercpu_time_millis_testing 2.2139999991850345 usercpu_time_millis_testing 1.3339999995878316 usercpu_time_millis_testing 1.3399999998000567 usercpu_time_millis_testing 1.3739999994868413 usercpu_time_millis_testing 1.3039999994362006 usercpu_time_millis_testing 1.336000000264903 usercpu_time_millis_testing 1.4680000003863825 usercpu_time_millis_testing 1.3260000005175243 usercpu_time_millis_testing 1.352000000224507 usercpu_time_millis_training 584.4819999992978 usercpu_time_millis_training 715.4799999998431 usercpu_time_millis_training 1121.3520000001154 usercpu_time_millis_training 1027.2780000004786 usercpu_time_millis_training 796.4039999997112 usercpu_time_millis_training 951.6719999992347 usercpu_time_millis_training 1175.7299999999304 usercpu_time_millis_training 1128.1460000000152 usercpu_time_millis_training 760.9220000003916 usercpu_time_millis_training 790.6259999999747 wall_clock_time_millis 296.8630790710449 wall_clock_time_millis 199.4009017944336 wall_clock_time_millis 399.4929790496826 wall_clock_time_millis 357.48887062072754 wall_clock_time_millis 242.07806587219238 wall_clock_time_millis 322.4799633026123 wall_clock_time_millis 430.1419258117676 wall_clock_time_millis 407.9091548919678 wall_clock_time_millis 219.79808807373047 wall_clock_time_millis 234.33303833007812 wall_clock_time_millis_testing 0.6501674652099609 wall_clock_time_millis_testing 1.0378360748291016 wall_clock_time_millis_testing 0.6439685821533203 wall_clock_time_millis_testing 0.6477832794189453 wall_clock_time_millis_testing 0.6630420684814453 wall_clock_time_millis_testing 0.6270408630371094 wall_clock_time_millis_testing 0.6568431854248047 wall_clock_time_millis_testing 0.7121562957763672 wall_clock_time_millis_testing 0.6411075592041016 wall_clock_time_millis_testing 0.6520748138427734 wall_clock_time_millis_training 296.21291160583496 wall_clock_time_millis_training 198.3630657196045 wall_clock_time_millis_training 398.8490104675293 wall_clock_time_millis_training 356.8410873413086 wall_clock_time_millis_training 241.41502380371094 wall_clock_time_millis_training 321.8529224395752 wall_clock_time_millis_training 429.4850826263428 wall_clock_time_millis_training 407.1969985961914 wall_clock_time_millis_training 219.15698051452637 wall_clock_time_millis_training 233.68096351623535 weighted_recall 0.9197396963123644 [0.949821,0.873626] weighted_recall 0.9347826086956522 [0.946043,0.917582] weighted_recall 0.9391304347826087 [0.956835,0.912088] weighted_recall 0.9521739130434783 [0.97491,0.917127] weighted_recall 0.9 [0.942652,0.834254] weighted_recall 0.9282608695652174 [0.942652,0.906077] weighted_recall 0.9304347826086956 [0.942652,0.911602] weighted_recall 0.9217391304347826 [0.953405,0.872928] weighted_recall 0.9326086956521739 [0.953405,0.900552] weighted_recall 0.9217391304347826 [0.964158,0.856354]