10330428 8323 Heinrich Peters 3573 Supervised Classification 12736 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,histgradientboostingclassifier=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8155121 l2_regularization 1e-06 12677 learning_rate 0.1 12677 loss "auto" 12677 max_bins 64 12677 max_depth 6 12677 max_iter 500 12677 max_leaf_nodes 4 12677 min_samples_leaf 13 12677 n_iter_no_change null 12677 random_state 41170 12677 scoring null 12677 tol 1e-07 12677 validation_fraction 0.2 12677 verbose 0 12677 memory null 12736 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "histgradientboostingclassifier", "step_name": "histgradientboostingclassifier"}}] 12736 verbose false 12736 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 openml-python Sklearn_0.21.2. 554 mnist_784 https://www.openml.org/data/download/52667/mnist_784.arff -1 21582553 description https://api.openml.org/data/download/21582553/description.xml -1 21582554 predictions https://api.openml.org/data/download/21582554/predictions.arff area_under_roc_curve 0.9794292888992306 [0.978981,0.994768,0.955997,0.967295,0.981497,0.977171,0.979241,0.986249,0.981318,0.989709] average_cost 0 f_measure 0.9389645047229523 [0.955241,0.974398,0.912893,0.917423,0.939274,0.924941,0.952256,0.945192,0.930233,0.932324] kappa 0.9322312896163925 kb_relative_information_score 0.9269483332172208 mean_absolute_error 0.018928441177664727 mean_prior_absolute_error 0.1799414337543242 number_of_instances 70000 [6903,7877,6990,7141,6824,6313,6876,7293,6825,6958] precision 0.9389583802331428 [0.952079,0.968049,0.917244,0.929691,0.937902,0.924648,0.953089,0.946883,0.928603,0.926241] predictive_accuracy 0.9390285714285714 prior_entropy 3.319837025446073 recall 0.9390285714285714 [0.958424,0.98083,0.908584,0.905475,0.940651,0.925234,0.951425,0.943507,0.931868,0.938488] relative_absolute_error 0.1051922327322784 root_mean_prior_squared_error 0.2999511838524139 root_mean_squared_error 0.10112676192307868 root_relative_squared_error 0.3371440666586482 total_cost 0 area_under_roc_curve 0.9807409801755322 [0.981588,0.994931,0.97605,0.959364,0.980927,0.981963,0.98989,0.960697,0.990544,0.991579] area_under_roc_curve 0.9813943197720035 [0.980976,0.995482,0.937988,0.984915,0.986903,0.984483,0.975098,0.994681,0.980773,0.990581] area_under_roc_curve 0.97965265784217 [0.976543,0.991554,0.961091,0.97463,0.98502,0.980826,0.963161,0.994167,0.974722,0.992671] area_under_roc_curve 0.9986115885901186 [0.999802,0.999421,0.998642,0.997216,0.998284,0.998871,0.999639,0.998473,0.999206,0.996549] area_under_roc_curve 0.9800488311523932 [0.981171,0.996934,0.961123,0.965939,0.985885,0.976775,0.981211,0.981792,0.975986,0.991564] area_under_roc_curve 0.9780887761054082 [0.97407,0.994487,0.956505,0.959279,0.975076,0.984551,0.983931,0.979957,0.980294,0.991685] area_under_roc_curve 0.9776869427481699 [0.977862,0.994758,0.961926,0.951792,0.979672,0.968286,0.982309,0.989237,0.98256,0.985713] area_under_roc_curve 0.9746266656880973 [0.968407,0.995753,0.944894,0.962224,0.976582,0.96018,0.971934,0.987659,0.985548,0.989002] area_under_roc_curve 0.9719756799090283 [0.974351,0.994142,0.931981,0.966985,0.972241,0.96713,0.96802,0.988524,0.974885,0.977656] area_under_roc_curve 0.9726878053376802 [0.978729,0.991468,0.93177,0.951947,0.976421,0.970037,0.977899,0.98533,0.969879,0.990923] 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 0.9392383724805516 [0.963017,0.977186,0.916844,0.909348,0.943918,0.9271,0.966618,0.922438,0.935578,0.926481] f_measure 0.9443413742500549 [0.958273,0.981037,0.905523,0.934659,0.952802,0.929936,0.948137,0.958419,0.931109,0.937191] f_measure 0.9353472811209119 [0.940159,0.964442,0.921316,0.928471,0.931287,0.923323,0.940746,0.949897,0.919881,0.928264] f_measure 0.9675723671951042 [0.982684,0.985378,0.956584,0.952717,0.970717,0.958036,0.982482,0.966323,0.95684,0.961373] f_measure 0.9394795140101136 [0.960403,0.969887,0.914327,0.916312,0.940407,0.937997,0.951825,0.938187,0.924763,0.937365] f_measure 0.9369820709736392 [0.952933,0.975207,0.913917,0.904225,0.92598,0.931116,0.957277,0.941741,0.931567,0.931034] f_measure 0.9366387398652041 [0.953069,0.977834,0.911175,0.910663,0.925524,0.915873,0.947216,0.94962,0.932945,0.935231] f_measure 0.930161458669205 [0.937771,0.970384,0.899709,0.905579,0.944363,0.90694,0.938182,0.935262,0.926865,0.930035] f_measure 0.9308895238194861 [0.951833,0.973075,0.895225,0.904286,0.924444,0.910658,0.943066,0.954141,0.928152,0.916427] f_measure 0.9288873083456457 [0.952243,0.969849,0.893431,0.907551,0.933432,0.908805,0.946986,0.935616,0.914536,0.919801] kappa 0.9325186914151663 kappa 0.938232720870195 kappa 0.9282251785755968 kappa 0.963956999725311 kappa 0.9328332278309162 kappa 0.9299780566154746 kappa 0.9296611987945549 kappa 0.9225151860935263 kappa 0.9233067933100387 kappa 0.9210840560055046 kb_relative_information_score 0.9262441157041681 kb_relative_information_score 0.9312460298441411 kb_relative_information_score 0.9235241414430143 kb_relative_information_score 0.9589436337610533 kb_relative_information_score 0.9252328153955021 kb_relative_information_score 0.9261611405127294 kb_relative_information_score 0.924215741557571 kb_relative_information_score 0.9202136339586714 kb_relative_information_score 0.9185897431309036 kb_relative_information_score 0.915112460809247 mean_absolute_error 0.019422867982365748 mean_absolute_error 0.018010836987530133 mean_absolute_error 0.01957816924469192 mean_absolute_error 0.011664535788951148 mean_absolute_error 0.019398033497876707 mean_absolute_error 0.01905539622722771 mean_absolute_error 0.019327178705474526 mean_absolute_error 0.02004354640209403 mean_absolute_error 0.021114139234900027 mean_absolute_error 0.021669707705531855 mean_prior_absolute_error 0.17994152998551463 mean_prior_absolute_error 0.17994170016528485 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.17994130267104935 mean_prior_absolute_error 0.1799413030791543 mean_prior_absolute_error 0.1799413030791543 mean_prior_absolute_error 0.1799414581590409 mean_prior_absolute_error 0.17994139612708626 mean_prior_absolute_error 0.17994173893525653 number_of_instances 7000 [691,787,699,714,682,631,687,730,683,696] number_of_instances 7000 [691,787,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,682,631,688,729,683,696] number_of_instances 7000 [690,788,699,714,683,631,688,729,682,696] number_of_instances 7000 [690,788,699,714,683,631,688,729,682,696] number_of_instances 7000 [690,788,699,715,683,632,687,729,682,695] number_of_instances 7000 [690,788,699,714,683,632,687,730,682,695] number_of_instances 7000 [691,787,699,714,682,632,687,730,682,696] precision 0.9392653865036633 [0.965116,0.974716,0.911017,0.919771,0.937771,0.9271,0.963821,0.932773,0.935578,0.920567] precision 0.9444476588768748 [0.95279,0.976101,0.920236,0.948127,0.958457,0.9344,0.95301,0.952575,0.922414,0.920943] precision 0.9353853778616388 [0.935438,0.948466,0.921316,0.929775,0.928571,0.930757,0.946981,0.950549,0.932331,0.926934] precision 0.967602893808342 [0.978448,0.987261,0.951841,0.960171,0.969298,0.957278,0.986804,0.96832,0.95614,0.957265] precision 0.9394828736872424 [0.95422,0.959057,0.92029,0.928161,0.932277,0.940989,0.956012,0.939477,0.922741,0.939394] precision 0.9369912222620107 [0.952243,0.97707,0.916547,0.909348,0.917986,0.93038,0.953824,0.941096,0.935007,0.931034] precision 0.936783440890313 [0.94964,0.97598,0.912482,0.937685,0.914286,0.917329,0.942446,0.955556,0.927536,0.926657] precision 0.9302811017257955 [0.936416,0.963705,0.914328,0.926794,0.944363,0.904088,0.9375,0.939142,0.915594,0.913889] precision 0.9309466989446765 [0.944365,0.960445,0.892045,0.922741,0.935532,0.902174,0.945827,0.953488,0.928152,0.917749] precision 0.9289389309145705 [0.952243,0.959006,0.912072,0.914651,0.941791,0.903125,0.944928,0.935616,0.911208,0.908836] predictive_accuracy 0.9392857142857143 predictive_accuracy 0.9444285714285714 predictive_accuracy 0.9354285714285715 predictive_accuracy 0.9675714285714285 predictive_accuracy 0.9395714285714285 predictive_accuracy 0.937 predictive_accuracy 0.9367142857142858 predictive_accuracy 0.9302857142857143 predictive_accuracy 0.9309999999999999 predictive_accuracy 0.929 prior_entropy 3.319842722993559 prior_entropy 3.3198548559727135 prior_entropy 3.3198276564080795 prior_entropy 3.3198276564080795 prior_entropy 3.3198276564080795 prior_entropy 3.319827686603566 prior_entropy 3.319827686603566 prior_entropy 3.3198399404547705 prior_entropy 3.319835600159663 prior_entropy 3.3198587924440996 recall 0.9392857142857143 [0.960926,0.97967,0.922747,0.89916,0.950147,0.9271,0.969432,0.912329,0.935578,0.932471] recall 0.9444285714285714 [0.963821,0.986023,0.891273,0.921569,0.947214,0.925515,0.943314,0.964335,0.939971,0.954023] recall 0.9354285714285714 [0.944928,0.980964,0.921316,0.927171,0.934018,0.916006,0.934593,0.949246,0.90776,0.929598] recall 0.9675714285714285 [0.986957,0.983503,0.961373,0.945378,0.972141,0.958796,0.978198,0.964335,0.95754,0.965517] recall 0.9395714285714286 [0.966667,0.980964,0.908441,0.904762,0.94868,0.935024,0.947674,0.9369,0.926794,0.935345] recall 0.937 [0.953623,0.97335,0.911302,0.89916,0.934114,0.931854,0.960756,0.942387,0.928152,0.931034] recall 0.9367142857142857 [0.956522,0.979695,0.909871,0.885154,0.937042,0.914422,0.952035,0.943759,0.938416,0.943966] recall 0.9302857142857143 [0.93913,0.977157,0.885551,0.885315,0.944363,0.90981,0.938865,0.931413,0.938416,0.946763] recall 0.931 [0.95942,0.986041,0.898426,0.886555,0.913616,0.919304,0.94032,0.954795,0.928152,0.915108] recall 0.929 [0.952243,0.98094,0.875536,0.90056,0.92522,0.914557,0.949054,0.935616,0.917889,0.931034] relative_absolute_error 0.10793988460545653 relative_absolute_error 0.10009262428323361 relative_absolute_error 0.10880308719606617 relative_absolute_error 0.06482411550768354 relative_absolute_error 0.10780200659844198 relative_absolute_error 0.1058978450258607 relative_absolute_error 0.1074082402136029 relative_absolute_error 0.1113892629700632 relative_absolute_error 0.11733897640756247 relative_absolute_error 0.12042624370396168 root_mean_prior_squared_error 0.2999513442637286 root_mean_prior_squared_error 0.29995162794255353 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096534459187 root_mean_prior_squared_error 0.29995096602487803 root_mean_prior_squared_error 0.29995096602487803 root_mean_prior_squared_error 0.29995122453349654 root_mean_prior_squared_error 0.2999511211300758 root_mean_prior_squared_error 0.2999516925695864 root_mean_squared_error 0.10082725407255207 root_mean_squared_error 0.09739738150266085 root_mean_squared_error 0.10335566480280627 root_mean_squared_error 0.07156192226099164 root_mean_squared_error 0.10187979382187622 root_mean_squared_error 0.10251563348502672 root_mean_squared_error 0.1042161614250823 root_mean_squared_error 0.10776147478423158 root_mean_squared_error 0.10685471190206268 root_mean_squared_error 0.10968095465949061 root_relative_squared_error 0.3361453649092532 root_relative_squared_error 0.3247102946922972 root_relative_squared_error 0.3445752030971744 root_relative_squared_error 0.23857873629037785 root_relative_squared_error 0.3396548289312352 root_relative_squared_error 0.3417746401807689 root_relative_squared_error 0.34744399328401765 root_relative_squared_error 0.35926332673530226 root_relative_squared_error 0.3562404151032475 root_relative_squared_error 0.3656620628471549 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 usercpu_time_millis 1052270.6993239988 usercpu_time_millis 1069067.5347679935 usercpu_time_millis 1074019.300767992 usercpu_time_millis 1148147.4922469934 usercpu_time_millis 1074103.4178940172 usercpu_time_millis 1084899.1497470124 usercpu_time_millis 1087419.8743869928 usercpu_time_millis 1108548.277502996 usercpu_time_millis 1031536.2313160003 usercpu_time_millis 1057247.009300001 usercpu_time_millis_testing 1396.5118570049526 usercpu_time_millis_testing 1356.841266999254 usercpu_time_millis_testing 1383.1642869918142 usercpu_time_millis_testing 1510.176394993323 usercpu_time_millis_testing 1373.9685970067512 usercpu_time_millis_testing 1393.69772200007 usercpu_time_millis_testing 1881.4201889908873 usercpu_time_millis_testing 1389.0775339968968 usercpu_time_millis_testing 1170.067340004607 usercpu_time_millis_testing 1178.3307300065644 usercpu_time_millis_training 1050874.187466994 usercpu_time_millis_training 1067710.6935009942 usercpu_time_millis_training 1072636.136481 usercpu_time_millis_training 1146637.315852 usercpu_time_millis_training 1072729.4492970104 usercpu_time_millis_training 1083505.4520250123 usercpu_time_millis_training 1085538.454198002 usercpu_time_millis_training 1107159.199968999 usercpu_time_millis_training 1030366.1639759957 usercpu_time_millis_training 1056068.6785699944 wall_clock_time_millis 1052306.4103126526 wall_clock_time_millis 1069174.1755008698 wall_clock_time_millis 1074205.5022716522 wall_clock_time_millis 1148918.9128875732 wall_clock_time_millis 1074129.0726661682 wall_clock_time_millis 1085273.9140987396 wall_clock_time_millis 1087633.4805488586 wall_clock_time_millis 1108692.2760009766 wall_clock_time_millis 1031563.7364387512 wall_clock_time_millis 1057310.068845749 wall_clock_time_millis_testing 1396.6944217681885 wall_clock_time_millis_testing 1356.8663597106934 wall_clock_time_millis_testing 1383.509874343872 wall_clock_time_millis_testing 1510.2126598358154 wall_clock_time_millis_testing 1373.9948272705078 wall_clock_time_millis_testing 1393.8844203948975 wall_clock_time_millis_testing 1882.1449279785156 wall_clock_time_millis_testing 1389.1324996948242 wall_clock_time_millis_testing 1170.12357711792 wall_clock_time_millis_testing 1178.3876419067383 wall_clock_time_millis_training 1050909.7158908844 wall_clock_time_millis_training 1067817.309141159 wall_clock_time_millis_training 1072821.9923973083 wall_clock_time_millis_training 1147408.7002277374 wall_clock_time_millis_training 1072755.0778388977 wall_clock_time_millis_training 1083880.0296783447 wall_clock_time_millis_training 1085751.3356208801 wall_clock_time_millis_training 1107303.1435012817 wall_clock_time_millis_training 1030393.6128616333 wall_clock_time_millis_training 1056131.6812038422