10558876 8323 Heinrich Peters 14970 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275575 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 0.01 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 "warn" 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. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 22042716 description https://api.openml.org/data/download/22042716/description.xml -1 22042717 predictions https://api.openml.org/data/download/22042717/predictions.arff area_under_roc_curve 0.9984972620416259 [0.99991,0.999704,0.999942,0.995581,0.996367,0.999998] average_cost 0 f_measure 0.9721013847551596 [0.992743,0.99095,0.991806,0.929339,0.936894,0.998203] kappa 0.9664764230757059 kb_relative_information_score 0.935838472475997 mean_absolute_error 0.03064945740137699 mean_prior_absolute_error 0.27709458719152297 weighted_recall 0.9721332168171667 [0.993031,0.992876,0.990043,0.925155,0.938615,1] number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9720804983065734 [0.992455,0.989032,0.993576,0.93356,0.93518,0.996412] predictive_accuracy 0.9721332168171668 prior_entropy 2.575922879508845 relative_absolute_error 0.11061009062653619 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.09434011462603305 root_relative_squared_error 0.2534531469966695 total_cost 0 unweighted_recall 0.9732865560544682 [0.993031,0.992876,0.990043,0.925155,0.938615,1] area_under_roc_curve 0.9992674004143247 [1,1,0.999992,0.997903,0.998009,1] area_under_roc_curve 0.9986982048099382 [0.999986,0.999993,1,0.996129,0.99663,0.999975] area_under_roc_curve 0.9979720355061371 [0.999648,0.998606,0.999936,0.9952,0.995033,1] area_under_roc_curve 0.9986203508921 [0.999986,0.999875,1,0.995971,0.99641,1] area_under_roc_curve 0.9977341613128489 [0.999865,0.999325,0.999968,0.992397,0.995533,1] area_under_roc_curve 0.9990409226019563 [0.999919,0.999733,0.99988,0.997349,0.997663,1] area_under_roc_curve 0.9986555859549343 [0.999973,0.999896,0.999992,0.996209,0.996378,1] area_under_roc_curve 0.9986280494180841 [0.999966,0.999993,0.999992,0.995887,0.996456,1] area_under_roc_curve 0.9983704907489168 [0.999912,0.999956,0.999928,0.995244,0.995794,0.999994] area_under_roc_curve 0.9980065506224403 [0.999939,0.999837,0.999896,0.993475,0.99557,1] 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 0.9785977293921935 [0.997085,1,0.996441,0.940171,0.948187,0.997429] f_measure 0.9688464826590399 [0.994186,0.990415,0.98917,0.920455,0.932292,0.994872] f_measure 0.9689281662870876 [0.991354,0.986928,0.996441,0.922222,0.925926,1] f_measure 0.969863634512853 [0.994186,0.996764,0.996466,0.916427,0.92545,1] f_measure 0.9708522344741604 [0.991254,0.974684,0.989247,0.932203,0.944591,0.997429] f_measure 0.977670731239153 [0.988304,0.993506,0.986014,0.949153,0.95288,1] f_measure 0.9757012487064749 [0.99422,0.990291,0.989247,0.941176,0.94709,0.997442] f_measure 0.9718524688835704 [0.991304,0.996764,0.992857,0.927778,0.930851,1] f_measure 0.9679035722725992 [0.991304,0.990291,0.992857,0.916905,0.927461,0.997442] f_measure 0.9708113068028964 [0.99422,0.990164,0.989324,0.926554,0.934383,0.997442] kappa 0.9743041365123932 kappa 0.9626213586727861 kappa 0.9626264023603422 kappa 0.9637939167430173 kappa 0.9649666219206908 kappa 0.9731423557181046 kappa 0.9707997577797384 kappa 0.9661308684195009 kappa 0.9614523581086138 kappa 0.9649236433051541 kb_relative_information_score 0.9423531569005661 kb_relative_information_score 0.9379793950429993 kb_relative_information_score 0.9314788579866122 kb_relative_information_score 0.9366867756315296 kb_relative_information_score 0.9279887736813731 kb_relative_information_score 0.9397403254873717 kb_relative_information_score 0.9392275951889603 kb_relative_information_score 0.9348717558338225 kb_relative_information_score 0.9352625470332732 kb_relative_information_score 0.9327923956510794 mean_absolute_error 0.02842142353963818 mean_absolute_error 0.02958647709422035 mean_absolute_error 0.032120450171235215 mean_absolute_error 0.030473802321343144 mean_absolute_error 0.03386449679695532 mean_absolute_error 0.029234006789271235 mean_absolute_error 0.02902924819534893 mean_absolute_error 0.03139755334235981 mean_absolute_error 0.030657578894340974 mean_absolute_error 0.03171056707262125 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.2771076974290587 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27709513558158777 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.27708065643484137 number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [172,154,141,178,190,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1029 [172,154,140,177,191,195] precision 0.9786671459971177 [1,1,0.992908,0.953757,0.938462,0.994872] precision 0.9688801804270132 [0.994186,0.981013,1,0.931034,0.927461,0.989796] precision 0.9690810530385241 [0.982857,1,0.992908,0.912088,0.935829,1] precision 0.9702269848128495 [0.994186,1,0.992958,0.940828,0.904523,1] precision 0.9710895921171002 [1,0.950617,1,0.9375,0.94709,0.994872] precision 0.9777899052459648 [1,0.993506,0.972414,0.954545,0.947917,1] precision 0.9757346617528985 [0.988506,0.987097,1,0.938547,0.952128,0.994898] precision 0.9720565807244222 [0.988439,0.993548,1,0.912568,0.945946,1] precision 0.9679698387176381 [0.988439,0.987097,1,0.930233,0.917949,0.994898] precision 0.9708251866365304 [0.988506,1,0.985816,0.926554,0.936842,0.994898] predictive_accuracy 0.9786407766990292 predictive_accuracy 0.9689320388349515 predictive_accuracy 0.9689320388349515 predictive_accuracy 0.9699029126213593 predictive_accuracy 0.970873786407767 predictive_accuracy 0.9776699029126213 predictive_accuracy 0.9757281553398058 predictive_accuracy 0.9718446601941747 predictive_accuracy 0.9679611650485437 predictive_accuracy 0.9708454810495627 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.57626843373114 prior_entropy 2.5761156998831467 prior_entropy 2.5761156998831467 prior_entropy 2.575945945073779 prior_entropy 2.575847838744184 prior_entropy 2.575847838744184 prior_entropy 2.5755594010061413 relative_absolute_error 0.10257035223034304 relative_absolute_error 0.10677492535082889 relative_absolute_error 0.11591980546878408 relative_absolute_error 0.10997097014652445 relative_absolute_error 0.12220945237065312 relative_absolute_error 0.1054990417172832 relative_absolute_error 0.10476274920676681 relative_absolute_error 0.11331130848889658 relative_absolute_error 0.11064079871894451 relative_absolute_error 0.1144452574951884 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.3722367592572026 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722198854102689 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.3722004351798735 root_mean_squared_error 0.08491981699101042 root_mean_squared_error 0.09326957158144426 root_mean_squared_error 0.09979027216894858 root_mean_squared_error 0.09309247464772676 root_mean_squared_error 0.10227236842188575 root_mean_squared_error 0.08930439315437735 root_mean_squared_error 0.0912415187721096 root_mean_squared_error 0.09520973709333273 root_mean_squared_error 0.09546075457071541 root_mean_squared_error 0.09761511479046406 root_relative_squared_error 0.22814680992463657 root_relative_squared_error 0.2505793815075773 root_relative_squared_error 0.2680979901224581 root_relative_squared_error 0.2500894184483352 root_relative_squared_error 0.27475639887869313 root_relative_squared_error 0.23991772016001306 root_relative_squared_error 0.24512800725716524 root_relative_squared_error 0.2557926990032387 root_relative_squared_error 0.25646708840916427 root_relative_squared_error 0.26226491310599775 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 0.9798779203154222 [0.994186,1,1,0.926966,0.958115,1] unweighted_recall 0.970007101583788 [0.994186,1,0.978571,0.910112,0.937173,1] unweighted_recall 0.9705013640903607 [1,0.974194,1,0.932584,0.91623,1] unweighted_recall 0.9713935469378877 [0.994186,0.993548,1,0.893258,0.947368,1] unweighted_recall 0.971742319847603 [0.982659,1,0.978723,0.926966,0.942105,1] unweighted_recall 0.9786833446307438 [0.976879,0.993506,1,0.94382,0.957895,1] unweighted_recall 0.9763592309398014 [1,0.993506,0.978723,0.94382,0.942105,1] unweighted_recall 0.9732891401165684 [0.994186,1,0.985816,0.943503,0.91623,1] unweighted_recall 0.9691059533306663 [0.994186,0.993506,0.985816,0.903955,0.937173,1] unweighted_recall 0.9719779114113128 [1,0.980519,0.992857,0.926554,0.931937,1] usercpu_time_millis 11826.195999999982 usercpu_time_millis 11858.132000001206 usercpu_time_millis 11527.910000000702 usercpu_time_millis 11781.247999999323 usercpu_time_millis 9391.558000001169 usercpu_time_millis 10597.298000000592 usercpu_time_millis 11036.802000000534 usercpu_time_millis 10036.98600000098 usercpu_time_millis 8863.413999999466 usercpu_time_millis 8901.496000000407 usercpu_time_millis_testing 29.613999999128282 usercpu_time_millis_testing 32.25600000041595 usercpu_time_millis_testing 36.34600000077626 usercpu_time_millis_testing 31.30599999894912 usercpu_time_millis_testing 41.07600000133971 usercpu_time_millis_testing 38.350000000718865 usercpu_time_millis_testing 41.016000001036446 usercpu_time_millis_testing 39.724000000205706 usercpu_time_millis_testing 40.415999999822816 usercpu_time_millis_testing 38.44600000047649 usercpu_time_millis_training 11796.582000000853 usercpu_time_millis_training 11825.87600000079 usercpu_time_millis_training 11491.563999999926 usercpu_time_millis_training 11749.942000000374 usercpu_time_millis_training 9350.481999999829 usercpu_time_millis_training 10558.947999999873 usercpu_time_millis_training 10995.785999999498 usercpu_time_millis_training 9997.262000000774 usercpu_time_millis_training 8822.997999999643 usercpu_time_millis_training 8863.04999999993 wall_clock_time_millis 11249.68695640564 wall_clock_time_millis 11322.983980178833 wall_clock_time_millis 12995.258808135986 wall_clock_time_millis 8574.239015579224 wall_clock_time_millis 3663.849353790283 wall_clock_time_millis 4973.501920700073 wall_clock_time_millis 5261.616230010986 wall_clock_time_millis 3296.705484390259 wall_clock_time_millis 2812.922239303589 wall_clock_time_millis 2905.008554458618 wall_clock_time_millis_testing 22.20892906188965 wall_clock_time_millis_testing 30.601978302001953 wall_clock_time_millis_testing 25.601863861083984 wall_clock_time_millis_testing 18.91922950744629 wall_clock_time_millis_testing 13.086318969726562 wall_clock_time_millis_testing 27.601003646850586 wall_clock_time_millis_testing 11.326313018798828 wall_clock_time_millis_testing 11.385202407836914 wall_clock_time_millis_testing 11.216163635253906 wall_clock_time_millis_testing 10.724782943725586 wall_clock_time_millis_training 11227.47802734375 wall_clock_time_millis_training 11292.382001876831 wall_clock_time_millis_training 12969.656944274902 wall_clock_time_millis_training 8555.319786071777 wall_clock_time_millis_training 3650.7630348205566 wall_clock_time_millis_training 4945.900917053223 wall_clock_time_millis_training 5250.2899169921875 wall_clock_time_millis_training 3285.320281982422 wall_clock_time_millis_training 2801.706075668335 wall_clock_time_millis_training 2894.2837715148926 weighted_recall 0.9786407766990292 [0.994186,1,1,0.926966,0.958115,1] weighted_recall 0.9689320388349515 [0.994186,1,0.978571,0.910112,0.937173,1] weighted_recall 0.9689320388349515 [1,0.974194,1,0.932584,0.91623,1] weighted_recall 0.9699029126213592 [0.994186,0.993548,1,0.893258,0.947368,1] weighted_recall 0.970873786407767 [0.982659,1,0.978723,0.926966,0.942105,1] weighted_recall 0.9776699029126213 [0.976879,0.993506,1,0.94382,0.957895,1] weighted_recall 0.9757281553398058 [1,0.993506,0.978723,0.94382,0.942105,1] weighted_recall 0.9718446601941747 [0.994186,1,0.985816,0.943503,0.91623,1] weighted_recall 0.9679611650485437 [0.994186,0.993506,0.985816,0.903955,0.937173,1] weighted_recall 0.9708454810495627 [1,0.980519,0.992857,0.926554,0.931937,1]