10435744 10963 Nelly Palacios 14970 Supervised Classification 17488 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1) 8259290 add_indicator false 17407 copy true 17407 fill_value -1 17407 missing_values NaN 17407 strategy "constant" 17407 verbose 0 17407 memory null 17488 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 17488 verbose false 17488 base_score 0.5 17489 booster "gbtree" 17489 colsample_bylevel 1 17489 colsample_bynode 1 17489 colsample_bytree 1 17489 gamma 0 17489 learning_rate 0.1 17489 max_delta_step 0 17489 max_depth 3 17489 min_child_weight 1 17489 missing null 17489 n_estimators 100 17489 n_jobs 1 17489 nthread null 17489 objective "multi:softprob" 17489 random_state 42 17489 reg_alpha 0 17489 reg_lambda 1 17489 scale_pos_weight 1 17489 seed null 17489 silent null 17489 subsample 1 17489 verbosity 1 17489 openml-python Sklearn_0.21.2. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 21794392 description https://api.openml.org/data/download/21794392/description.xml -1 21794393 predictions https://api.openml.org/data/download/21794393/predictions.arff area_under_roc_curve 0.9996725686327567 [0.999976,0.999959,0.999946,0.9991,0.999178,0.999988] average_cost 0 f_measure 0.9851425220228491 [0.994478,0.990636,0.991812,0.966469,0.969856,0.999743] kappa 0.9821291689456296 kb_relative_information_score 0.9709309499040087 mean_absolute_error 0.013558581706165076 mean_prior_absolute_error 0.27709458719152297 weighted_recall 0.9851441887561899 [0.993612,0.993523,0.990754,0.96511,0.970619,0.999486] number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9851448343135414 [0.995346,0.987766,0.992872,0.967833,0.969094,1] predictive_accuracy 0.9851441887561898 prior_entropy 2.575922879508845 relative_absolute_error 0.04893123984696828 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.0638574281918603 root_relative_squared_error 0.171558686339296 total_cost 0 unweighted_recall 0.985517289441721 [0.993612,0.993523,0.990754,0.96511,0.970619,0.999486] area_under_roc_curve 0.9998478129022337 [1,0.999934,0.999968,0.999618,0.999613,1] area_under_roc_curve 0.9995855601004326 [0.999966,1,0.999992,0.998839,0.998883,1] area_under_roc_curve 0.9997535196127788 [0.999986,0.999978,0.999968,0.999308,0.99937,1] area_under_roc_curve 0.999689170435745 [0.99998,0.999978,1,0.999116,0.999179,1] area_under_roc_curve 0.9993898364226625 [1,0.999792,0.999856,0.998154,0.998697,1] area_under_roc_curve 0.9997525546237066 [0.99996,0.999926,1,0.999354,0.999361,1] area_under_roc_curve 0.9998416848464843 [1,1,0.999984,0.999571,0.999555,1] area_under_roc_curve 0.9997774306919678 [1,1,0.999976,0.999397,0.999376,1] area_under_roc_curve 0.999474890314491 [0.999898,0.999978,0.999761,0.998728,0.998739,0.999896] area_under_roc_curve 0.9996021213573717 [1,1,1,0.998826,0.998944,1] 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 0.9863982329800759 [0.997101,0.983819,0.985714,0.974504,0.976623,1] f_measure 0.987377362095064 [0.994186,0.996785,0.996416,0.969014,0.971279,1] f_measure 0.9883505212451751 [0.991304,0.990291,0.985714,0.980501,0.98153,1] f_measure 0.9844449033553092 [0.991254,0.990291,0.992958,0.965318,0.969231,1] f_measure 0.9776780277298158 [0.991254,0.971429,0.985714,0.954286,0.963542,1] f_measure 0.9873788047064224 [0.997101,0.996764,1,0.966292,0.968421,1] f_measure 0.9893241286552823 [0.994152,0.990354,0.989324,0.980392,0.98153,1] f_measure 0.9864117242038992 [0.997101,0.996743,0.992908,0.966667,0.968085,1] f_measure 0.9806048380403942 [0.991304,0.993506,0.989324,0.955056,0.96063,0.997429] f_measure 0.9834678237218171 [1,0.996764,1,0.952381,0.957672,1] kappa 0.9836477160100427 kappa 0.9848162184105903 kappa 0.9859849962354521 kappa 0.9813133918801699 kappa 0.9731401327686978 kappa 0.9848181293531663 kappa 0.9871533939191219 kappa 0.9836498667724929 kappa 0.9766409452479632 kappa 0.9801257690144685 kb_relative_information_score 0.9748494808587604 kb_relative_information_score 0.9698859571304682 kb_relative_information_score 0.9719181175777319 kb_relative_information_score 0.9691915894428428 kb_relative_information_score 0.9646349625724514 kb_relative_information_score 0.9722500413890266 kb_relative_information_score 0.9757636327084144 kb_relative_information_score 0.9729748154214648 kb_relative_information_score 0.9669717894718646 kb_relative_information_score 0.9708696715703478 mean_absolute_error 0.012142448375117656 mean_absolute_error 0.014017426411245319 mean_absolute_error 0.013440448814095632 mean_absolute_error 0.014092540867805994 mean_absolute_error 0.015401100119474282 mean_absolute_error 0.01340253415148156 mean_absolute_error 0.011779805369139492 mean_absolute_error 0.013001966419776708 mean_absolute_error 0.014817204108711004 mean_absolute_error 0.01349027610868935 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 0.9864409206481164 [0.99422,0.987013,0.985714,0.982857,0.969072,1] precision 0.9873877783192618 [0.994186,0.99359,1,0.971751,0.96875,1] precision 0.9884039079822408 [0.988439,0.993506,0.985714,0.972376,0.989362,1] precision 0.9849573852026585 [0.994152,0.993506,0.986014,0.994048,0.945,1] precision 0.9780044524304913 [1,0.950311,0.992806,0.97093,0.953608,1] precision 0.9873849044785468 [1,0.993548,1,0.966292,0.968421,1] precision 0.9893753935305472 [1,0.980892,0.992857,0.977654,0.984127,1] precision 0.9866054029288706 [0.99422,1,0.992908,0.95082,0.983784,1] precision 0.9806486741654888 [0.988439,0.993506,0.992857,0.949721,0.963158,1] precision 0.9835226200520705 [1,0.993548,1,0.944444,0.967914,1] predictive_accuracy 0.9864077669902913 predictive_accuracy 0.987378640776699 predictive_accuracy 0.9883495145631067 predictive_accuracy 0.9844660194174757 predictive_accuracy 0.9776699029126213 predictive_accuracy 0.987378640776699 predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9805825242718447 predictive_accuracy 0.9834791059280854 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 0.0438210002056227 relative_absolute_error 0.05058762670205961 relative_absolute_error 0.04850536663207671 relative_absolute_error 0.05085582608694503 relative_absolute_error 0.05557915190033985 relative_absolute_error 0.0483667709239016 relative_absolute_error 0.04251177251601753 relative_absolute_error 0.04692307747323547 relative_absolute_error 0.053474127980537405 relative_absolute_error 0.048687181134428055 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 0.056609181157222084 root_mean_squared_error 0.06573656823883825 root_mean_squared_error 0.061564997864845886 root_mean_squared_error 0.06823733517843565 root_mean_squared_error 0.07371417658812725 root_mean_squared_error 0.059875569266374835 root_mean_squared_error 0.05521841819955587 root_mean_squared_error 0.05932998938595295 root_mean_squared_error 0.07112948196950687 root_mean_squared_error 0.06448195344994377 root_relative_squared_error 0.15208704576969664 root_relative_squared_error 0.1766088160631784 root_relative_squared_error 0.1654014146941525 root_relative_squared_error 0.18331702466624486 root_relative_squared_error 0.1980343470888837 root_relative_squared_error 0.16085670104536695 root_relative_squared_error 0.1483489205276954 root_relative_squared_error 0.15939733245969812 root_relative_squared_error 0.19109812427952252 root_relative_squared_error 0.1732452392721721 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 0.9861574625922245 [1,0.980645,0.985714,0.966292,0.984293,1] unweighted_recall 0.9878595522881713 [0.994186,1,0.992857,0.966292,0.973822,1] unweighted_recall 0.9882638568153462 [0.994186,0.987097,0.985714,0.988764,0.973822,1] unweighted_recall 0.9847346594188465 [0.988372,0.987097,1,0.938202,0.994737,1] unweighted_recall 0.9777958858361187 [0.982659,0.993506,0.978723,0.938202,0.973684,1] unweighted_recall 0.9881554734403718 [0.99422,1,1,0.966292,0.968421,1] unweighted_recall 0.9893801886161531 [0.988372,1,0.985816,0.983146,0.978947,1] unweighted_recall 0.9870574539223989 [1,0.993506,0.992908,0.983051,0.95288,1] unweighted_recall 0.9811578497289997 [0.994186,0.993506,0.985816,0.960452,0.958115,0.994872] unweighted_recall 0.9846826594097869 [1,1,1,0.960452,0.947644,1] usercpu_time_millis 119049.65337700014 usercpu_time_millis 119243.97509799928 usercpu_time_millis 119252.51033300083 usercpu_time_millis 118966.49256700039 usercpu_time_millis 119291.12021199944 usercpu_time_millis 119444.96378099939 usercpu_time_millis 119130.70143999903 usercpu_time_millis 119618.63500500112 usercpu_time_millis 119132.99495300089 usercpu_time_millis 119394.3257580031 usercpu_time_millis_testing 30.91910200055281 usercpu_time_millis_testing 31.239672000083374 usercpu_time_millis_testing 31.487704000028316 usercpu_time_millis_testing 32.00562500023807 usercpu_time_millis_testing 30.957947999922908 usercpu_time_millis_testing 31.104793000849895 usercpu_time_millis_testing 30.895161000444205 usercpu_time_millis_testing 31.479016000957927 usercpu_time_millis_testing 31.15602400066564 usercpu_time_millis_testing 30.971144002251094 usercpu_time_millis_training 119018.73427499959 usercpu_time_millis_training 119212.7354259992 usercpu_time_millis_training 119221.0226290008 usercpu_time_millis_training 118934.48694200015 usercpu_time_millis_training 119260.16226399952 usercpu_time_millis_training 119413.85898799854 usercpu_time_millis_training 119099.80627899859 usercpu_time_millis_training 119587.15598900017 usercpu_time_millis_training 119101.83892900022 usercpu_time_millis_training 119363.35461400085 wall_clock_time_millis 119078.40514183044 wall_clock_time_millis 119290.4634475708 wall_clock_time_millis 119258.5084438324 wall_clock_time_millis 118984.69567298889 wall_clock_time_millis 119303.71856689453 wall_clock_time_millis 119461.50755882263 wall_clock_time_millis 119154.26278114319 wall_clock_time_millis 119644.31810379028 wall_clock_time_millis 119173.69508743286 wall_clock_time_millis 119413.27667236328 wall_clock_time_millis_testing 30.922889709472656 wall_clock_time_millis_testing 31.243085861206055 wall_clock_time_millis_testing 31.490564346313477 wall_clock_time_millis_testing 32.04059600830078 wall_clock_time_millis_testing 30.96151351928711 wall_clock_time_millis_testing 31.10790252685547 wall_clock_time_millis_testing 30.898571014404297 wall_clock_time_millis_testing 31.487464904785156 wall_clock_time_millis_testing 31.158924102783203 wall_clock_time_millis_testing 30.9751033782959 wall_clock_time_millis_training 119047.48225212097 wall_clock_time_millis_training 119259.2203617096 wall_clock_time_millis_training 119227.01787948608 wall_clock_time_millis_training 118952.65507698059 wall_clock_time_millis_training 119272.75705337524 wall_clock_time_millis_training 119430.39965629578 wall_clock_time_millis_training 119123.36421012878 wall_clock_time_millis_training 119612.8306388855 wall_clock_time_millis_training 119142.53616333008 wall_clock_time_millis_training 119382.30156898499 weighted_recall 0.9864077669902913 [1,0.980645,0.985714,0.966292,0.984293,1] weighted_recall 0.987378640776699 [0.994186,1,0.992857,0.966292,0.973822,1] weighted_recall 0.9883495145631068 [0.994186,0.987097,0.985714,0.988764,0.973822,1] weighted_recall 0.9844660194174757 [0.988372,0.987097,1,0.938202,0.994737,1] weighted_recall 0.9776699029126213 [0.982659,0.993506,0.978723,0.938202,0.973684,1] weighted_recall 0.987378640776699 [0.99422,1,1,0.966292,0.968421,1] weighted_recall 0.9893203883495145 [0.988372,1,0.985816,0.983146,0.978947,1] weighted_recall 0.9864077669902913 [1,0.993506,0.992908,0.983051,0.95288,1] weighted_recall 0.9805825242718447 [0.994186,0.993506,0.985816,0.960452,0.958115,0.994872] weighted_recall 0.9834791059280855 [1,1,1,0.960452,0.947644,1]