449573 2 Joaquin Vanschoren 4291 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 1576679 description https://api.openml.org/data/download/1576679/weka_generated_run8517645044509430427.xml -1 1576682 model_readable https://api.openml.org/data/download/1576682/WekaModel_weka.classifiers.functions.LibSVM6498811846421605315.model -1 1576681 model_serialized https://api.openml.org/data/download/1576681/WekaSerialized_weka.classifiers.functions.LibSVM895253157736138516.model -1 1576680 predictions https://api.openml.org/data/download/1576680/weka_generated_predictions2168468707403796388.arff area_under_roc_curve 0.753914 [0.753914,0.753914] average_cost 0 f_measure 0.751465 [0.729067,0.774024] kappa 0.507485 kb_relative_information_score 21183.616988 mean_absolute_error 0.246421 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.763042 [0.813164,0.712559] predictive_accuracy 0.753579 prior_entropy 0.999991 recall 0.753579 [0.660735,0.847093] relative_absolute_error 0.492848 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.496408 root_relative_squared_error 0.992822 scimark_benchmark 906.097889 [555.4906311231572, 1013.6533323510344, 483.0147548568529, 905.8189936379142, 1572.5117349124107] total_cost 0 usercpu_time_millis 3920 usercpu_time_millis_testing 1120 usercpu_time_millis_training 2800 area_under_roc_curve 0.772727 [0.772727,0.772727] area_under_roc_curve 0.737431 [0.737431,0.737431] area_under_roc_curve 0.705742 [0.705742,0.705742] area_under_roc_curve 0.749199 [0.749199,0.749199] area_under_roc_curve 0.760766 [0.760766,0.760766] area_under_roc_curve 0.751196 [0.751196,0.751196] area_under_roc_curve 0.779904 [0.779904,0.779904] area_under_roc_curve 0.766049 [0.766049,0.766049] area_under_roc_curve 0.739234 [0.739234,0.739234] area_under_roc_curve 0.748804 [0.748804,0.748804] area_under_roc_curve 0.739744 [0.739744,0.739744] area_under_roc_curve 0.751625 [0.751625,0.751625] area_under_roc_curve 0.725321 [0.725321,0.725321] area_under_roc_curve 0.777862 [0.777862,0.777862] area_under_roc_curve 0.753961 [0.753961,0.753961] area_under_roc_curve 0.749107 [0.749107,0.749107] area_under_roc_curve 0.732486 [0.732486,0.732486] area_under_roc_curve 0.74217 [0.74217,0.74217] area_under_roc_curve 0.763782 [0.763782,0.763782] area_under_roc_curve 0.737317 [0.737317,0.737317] area_under_roc_curve 0.792193 [0.792193,0.792193] area_under_roc_curve 0.775641 [0.775641,0.775641] area_under_roc_curve 0.758654 [0.758654,0.758654] area_under_roc_curve 0.768338 [0.768338,0.768338] area_under_roc_curve 0.727885 [0.727885,0.727885] area_under_roc_curve 0.718223 [0.718223,0.718223] area_under_roc_curve 0.818521 [0.818521,0.818521] area_under_roc_curve 0.732601 [0.732601,0.732601] area_under_roc_curve 0.756433 [0.756433,0.756433] area_under_roc_curve 0.737363 [0.737363,0.737363] area_under_roc_curve 0.713553 [0.713553,0.713553] area_under_roc_curve 0.754006 [0.754006,0.754006] area_under_roc_curve 0.758997 [0.758997,0.758997] area_under_roc_curve 0.74446 [0.74446,0.74446] area_under_roc_curve 0.773237 [0.773237,0.773237] area_under_roc_curve 0.74217 [0.74217,0.74217] area_under_roc_curve 0.741873 [0.741873,0.741873] area_under_roc_curve 0.76598 [0.76598,0.76598] area_under_roc_curve 0.74929 [0.74929,0.74929] area_under_roc_curve 0.773214 [0.773214,0.773214] area_under_roc_curve 0.715865 [0.715865,0.715865] area_under_roc_curve 0.749153 [0.749153,0.749153] area_under_roc_curve 0.77065 [0.77065,0.77065] area_under_roc_curve 0.711103 [0.711103,0.711103] area_under_roc_curve 0.739629 [0.739629,0.739629] area_under_roc_curve 0.746886 [0.746886,0.746886] area_under_roc_curve 0.775641 [0.775641,0.775641] area_under_roc_curve 0.746772 [0.746772,0.746772] area_under_roc_curve 0.763576 [0.763576,0.763576] area_under_roc_curve 0.76353 [0.76353,0.76353] area_under_roc_curve 0.744505 [0.744505,0.744505] area_under_roc_curve 0.77065 [0.77065,0.77065] area_under_roc_curve 0.766003 [0.766003,0.766003] area_under_roc_curve 0.756479 [0.756479,0.756479] area_under_roc_curve 0.756548 [0.756548,0.756548] area_under_roc_curve 0.768315 [0.768315,0.768315] area_under_roc_curve 0.730105 [0.730105,0.730105] area_under_roc_curve 0.744528 [0.744528,0.744528] area_under_roc_curve 0.758768 [0.758768,0.758768] area_under_roc_curve 0.75886 [0.75886,0.75886] area_under_roc_curve 0.756181 [0.756181,0.756181] area_under_roc_curve 0.729665 [0.729665,0.729665] area_under_roc_curve 0.782692 [0.782692,0.782692] area_under_roc_curve 0.744019 [0.744019,0.744019] area_under_roc_curve 0.787317 [0.787317,0.787317] area_under_roc_curve 0.787386 [0.787386,0.787386] area_under_roc_curve 0.73734 [0.73734,0.73734] area_under_roc_curve 0.753589 [0.753589,0.753589] area_under_roc_curve 0.723123 [0.723123,0.723123] area_under_roc_curve 0.734799 [0.734799,0.734799] area_under_roc_curve 0.750805 [0.750805,0.750805] area_under_roc_curve 0.750851 [0.750851,0.750851] area_under_roc_curve 0.774798 [0.774798,0.774798] area_under_roc_curve 0.765125 [0.765125,0.765125] area_under_roc_curve 0.748459 [0.748459,0.748459] area_under_roc_curve 0.746135 [0.746135,0.746135] area_under_roc_curve 0.748424 [0.748424,0.748424] area_under_roc_curve 0.784436 [0.784436,0.784436] area_under_roc_curve 0.753174 [0.753174,0.753174] area_under_roc_curve 0.76754 [0.76754,0.76754] area_under_roc_curve 0.796306 [0.796306,0.796306] area_under_roc_curve 0.781986 [0.781986,0.781986] area_under_roc_curve 0.750759 [0.750759,0.750759] area_under_roc_curve 0.762801 [0.762801,0.762801] area_under_roc_curve 0.734013 [0.734013,0.734013] area_under_roc_curve 0.755682 [0.755682,0.755682] area_under_roc_curve 0.738843 [0.738843,0.738843] area_under_roc_curve 0.741201 [0.741201,0.741201] area_under_roc_curve 0.743628 [0.743628,0.743628] area_under_roc_curve 0.753232 [0.753232,0.753232] area_under_roc_curve 0.750863 [0.750863,0.750863] area_under_roc_curve 0.748378 [0.748378,0.748378] area_under_roc_curve 0.736474 [0.736474,0.736474] area_under_roc_curve 0.753289 [0.753289,0.753289] area_under_roc_curve 0.760409 [0.760409,0.760409] area_under_roc_curve 0.772325 [0.772325,0.772325] area_under_roc_curve 0.743686 [0.743686,0.743686] area_under_roc_curve 0.769944 [0.769944,0.769944] area_under_roc_curve 0.786748 [0.786748,0.786748] area_under_roc_curve 0.760421 [0.760421,0.760421] 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 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 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 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 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 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 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 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 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 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 0.770062 [0.745308,0.794816] f_measure 0.732869 [0.701087,0.764957] f_measure 0.701295 [0.66485,0.73774] f_measure 0.747133 [0.727273,0.767184] f_measure 0.758326 [0.734043,0.782609] f_measure 0.749123 [0.726316,0.77193] f_measure 0.77766 [0.755319,0.8] f_measure 0.763045 [0.739362,0.786957] f_measure 0.737792 [0.718346,0.757238] f_measure 0.745587 [0.716981,0.774194] f_measure 0.736316 [0.709333,0.763557] f_measure 0.749234 [0.727749,0.770925] f_measure 0.72259 [0.698163,0.747253] f_measure 0.776362 [0.760925,0.791946] f_measure 0.752138 [0.73385,0.770601] f_measure 0.74783 [0.732824,0.76298] f_measure 0.729944 [0.706806,0.753304] f_measure 0.738322 [0.709677,0.767241] f_measure 0.759142 [0.728767,0.789809] f_measure 0.734288 [0.708995,0.759825] f_measure 0.790929 [0.777494,0.804494] f_measure 0.772485 [0.748663,0.796537] f_measure 0.757576 [0.744304,0.770975] f_measure 0.766399 [0.748052,0.784922] f_measure 0.722821 [0.688525,0.757447] f_measure 0.714397 [0.684492,0.744589] f_measure 0.817304 [0.805128,0.829596] f_measure 0.72863 [0.698925,0.758621] f_measure 0.75384 [0.731579,0.776316] f_measure 0.73376 [0.705882,0.761905] f_measure 0.707866 [0.67033,0.745763] f_measure 0.751749 [0.73107,0.772627] f_measure 0.754276 [0.723288,0.785563] f_measure 0.741888 [0.71916,0.764835] f_measure 0.770183 [0.746667,0.793926] f_measure 0.738322 [0.709677,0.767241] f_measure 0.740975 [0.728643,0.753425] f_measure 0.763701 [0.743455,0.784141] f_measure 0.746245 [0.721485,0.771242] f_measure 0.770412 [0.748011,0.793028] f_measure 0.711511 [0.679245,0.744086] f_measure 0.747505 [0.730077,0.765101] f_measure 0.769374 [0.755102,0.783784] f_measure 0.706328 [0.672087,0.740899] f_measure 0.7375 [0.716883,0.758315] f_measure 0.743951 [0.719577,0.768559] f_measure 0.772485 [0.748663,0.796537] f_measure 0.745011 [0.726804,0.763393] f_measure 0.76139 [0.741514,0.781457] f_measure 0.761764 [0.744186,0.77951] f_measure 0.741411 [0.71618,0.766885] f_measure 0.769374 [0.755102,0.783784] f_measure 0.763494 [0.742105,0.785088] f_measure 0.753374 [0.728723,0.778261] f_measure 0.752584 [0.724324,0.781116] f_measure 0.766576 [0.749354,0.783964] f_measure 0.727415 [0.703412,0.751648] f_measure 0.741154 [0.714667,0.767896] f_measure 0.756766 [0.737662,0.776053] f_measure 0.755911 [0.732095,0.779956] f_measure 0.755578 [0.746269,0.764977] f_measure 0.725898 [0.693767,0.75803] f_measure 0.780849 [0.763636,0.798226] f_measure 0.741281 [0.714667,0.767896] f_measure 0.786594 [0.776942,0.796339] f_measure 0.786256 [0.773537,0.799097] f_measure 0.73403 [0.707447,0.76087] f_measure 0.752043 [0.732468,0.771619] f_measure 0.717604 [0.681319,0.754237] f_measure 0.733077 [0.714653,0.751678] f_measure 0.74878 [0.727749,0.769912] f_measure 0.747857 [0.721925,0.773913] f_measure 0.772743 [0.752632,0.792952] f_measure 0.76424 [0.751269,0.777273] f_measure 0.745302 [0.718499,0.772234] f_measure 0.740879 [0.705556,0.776371] f_measure 0.746037 [0.722955,0.769231] f_measure 0.781573 [0.758065,0.805195] f_measure 0.75167 [0.73385,0.769575] f_measure 0.766443 [0.751918,0.781038] f_measure 0.795457 [0.783715,0.807256] f_measure 0.78009 [0.761155,0.799117] f_measure 0.749511 [0.733333,0.765766] f_measure 0.760758 [0.740157,0.781457] f_measure 0.731979 [0.710183,0.75388] f_measure 0.751901 [0.722826,0.781116] f_measure 0.736121 [0.710875,0.761488] f_measure 0.739326 [0.71875,0.76] f_measure 0.7412 [0.717678,0.764835] f_measure 0.750646 [0.72679,0.774617] f_measure 0.747596 [0.72043,0.774892] f_measure 0.746848 [0.728682,0.765101] f_measure 0.733034 [0.704301,0.761905] f_measure 0.749323 [0.719346,0.779443] f_measure 0.758237 [0.736842,0.779736] f_measure 0.771394 [0.75827,0.78458] f_measure 0.739888 [0.710027,0.769892] f_measure 0.768779 [0.753846,0.783784] f_measure 0.785423 [0.770026,0.800895] f_measure 0.758021 [0.73545,0.780702] kappa 0.545455 kappa 0.474298 kappa 0.411483 kappa 0.497998 kappa 0.521531 kappa 0.502392 kappa 0.559809 kappa 0.531562 kappa 0.478469 kappa 0.497608 kappa 0.478994 kappa 0.502813 kappa 0.450239 kappa 0.555329 kappa 0.507538 kappa 0.497907 kappa 0.464568 kappa 0.483809 kappa 0.526901 kappa 0.474178 kappa 0.583999 kappa 0.550702 kappa 0.517012 kappa 0.536246 kappa 0.455206 kappa 0.435988 kappa 0.636605 kappa 0.464691 kappa 0.512397 kappa 0.474226 kappa 0.426559 kappa 0.507583 kappa 0.517343 kappa 0.488483 kappa 0.545912 kappa 0.483809 kappa 0.483502 kappa 0.531497 kappa 0.49809 kappa 0.545891 kappa 0.431247 kappa 0.497952 kappa 0.540954 kappa 0.421715 kappa 0.478875 kappa 0.493299 kappa 0.550702 kappa 0.493183 kappa 0.526706 kappa 0.526663 kappa 0.48853 kappa 0.540954 kappa 0.531519 kappa 0.512442 kappa 0.512509 kappa 0.536225 kappa 0.4598 kappa 0.488553 kappa 0.517122 kappa 0.517211 kappa 0.512152 kappa 0.45933 kappa 0.564932 kappa 0.488038 kappa 0.574358 kappa 0.574416 kappa 0.474202 kappa 0.507177 kappa 0.445674 kappa 0.469264 kappa 0.501403 kappa 0.501448 kappa 0.549355 kappa 0.530103 kappa 0.49666 kappa 0.491943 kappa 0.496626 kappa 0.568571 kappa 0.506168 kappa 0.534914 kappa 0.592441 kappa 0.563732 kappa 0.501357 kappa 0.525379 kappa 0.467837 kappa 0.51107 kappa 0.477462 kappa 0.482214 kappa 0.487038 kappa 0.506225 kappa 0.50146 kappa 0.496579 kappa 0.472698 kappa 0.506282 kappa 0.52059 kappa 0.544493 kappa 0.487097 kappa 0.539714 kappa 0.573291 kappa 0.520601 kb_relative_information_score 228.004238 kb_relative_information_score 197.993323 kb_relative_information_score 172.003197 kb_relative_information_score 207.993509 kb_relative_information_score 218.004052 kb_relative_information_score 210.003903 kb_relative_information_score 234.004349 kb_relative_information_score 221.99377 kb_relative_information_score 200.003717 kb_relative_information_score 208.003866 kb_relative_information_score 199.993361 kb_relative_information_score 209.993546 kb_relative_information_score 187.993138 kb_relative_information_score 231.993955 kb_relative_information_score 211.993584 kb_relative_information_score 207.993509 kb_relative_information_score 193.993249 kb_relative_information_score 201.993398 kb_relative_information_score 219.993732 kb_relative_information_score 197.993323 kb_relative_information_score 243.994178 kb_relative_information_score 229.993918 kb_relative_information_score 215.993658 kb_relative_information_score 223.993807 kb_relative_information_score 189.993175 kb_relative_information_score 181.993026 kb_relative_information_score 265.994587 kb_relative_information_score 193.993249 kb_relative_information_score 213.993621 kb_relative_information_score 197.993323 kb_relative_information_score 177.992952 kb_relative_information_score 211.993584 kb_relative_information_score 215.993658 kb_relative_information_score 203.993435 kb_relative_information_score 227.993881 kb_relative_information_score 201.993398 kb_relative_information_score 201.993398 kb_relative_information_score 221.99377 kb_relative_information_score 207.993509 kb_relative_information_score 227.993881 kb_relative_information_score 179.992989 kb_relative_information_score 207.993509 kb_relative_information_score 225.993844 kb_relative_information_score 175.992914 kb_relative_information_score 199.993361 kb_relative_information_score 205.993472 kb_relative_information_score 229.993918 kb_relative_information_score 205.993472 kb_relative_information_score 219.993732 kb_relative_information_score 219.993732 kb_relative_information_score 203.993435 kb_relative_information_score 225.993844 kb_relative_information_score 221.99377 kb_relative_information_score 213.993621 kb_relative_information_score 213.993621 kb_relative_information_score 223.993807 kb_relative_information_score 191.993212 kb_relative_information_score 203.993435 kb_relative_information_score 215.993658 kb_relative_information_score 215.993658 kb_relative_information_score 213.993621 kb_relative_information_score 192.003569 kb_relative_information_score 235.99403 kb_relative_information_score 204.003792 kb_relative_information_score 239.994104 kb_relative_information_score 239.994104 kb_relative_information_score 197.993323 kb_relative_information_score 212.003941 kb_relative_information_score 185.9931 kb_relative_information_score 195.993286 kb_relative_information_score 208.998706 kb_relative_information_score 208.998706 kb_relative_information_score 228.999078 kb_relative_information_score 220.998929 kb_relative_information_score 206.998669 kb_relative_information_score 204.998632 kb_relative_information_score 206.998669 kb_relative_information_score 236.999227 kb_relative_information_score 210.998743 kb_relative_information_score 222.998967 kb_relative_information_score 246.999413 kb_relative_information_score 234.99919 kb_relative_information_score 208.998706 kb_relative_information_score 218.998892 kb_relative_information_score 194.998446 kb_relative_information_score 212.998781 kb_relative_information_score 198.99852 kb_relative_information_score 200.998558 kb_relative_information_score 202.998595 kb_relative_information_score 210.998743 kb_relative_information_score 208.998706 kb_relative_information_score 206.998669 kb_relative_information_score 196.998483 kb_relative_information_score 210.998743 kb_relative_information_score 216.998855 kb_relative_information_score 226.999041 kb_relative_information_score 202.998595 kb_relative_information_score 224.999004 kb_relative_information_score 238.999264 kb_relative_information_score 216.998855 mean_absolute_error 0.227273 mean_absolute_error 0.263158 mean_absolute_error 0.294258 mean_absolute_error 0.251196 mean_absolute_error 0.239234 mean_absolute_error 0.248804 mean_absolute_error 0.220096 mean_absolute_error 0.23445 mean_absolute_error 0.260766 mean_absolute_error 0.251196 mean_absolute_error 0.260766 mean_absolute_error 0.248804 mean_absolute_error 0.27512 mean_absolute_error 0.222488 mean_absolute_error 0.246411 mean_absolute_error 0.251196 mean_absolute_error 0.267943 mean_absolute_error 0.258373 mean_absolute_error 0.236842 mean_absolute_error 0.263158 mean_absolute_error 0.208134 mean_absolute_error 0.22488 mean_absolute_error 0.241627 mean_absolute_error 0.232057 mean_absolute_error 0.272727 mean_absolute_error 0.282297 mean_absolute_error 0.181818 mean_absolute_error 0.267943 mean_absolute_error 0.244019 mean_absolute_error 0.263158 mean_absolute_error 0.287081 mean_absolute_error 0.246411 mean_absolute_error 0.241627 mean_absolute_error 0.255981 mean_absolute_error 0.227273 mean_absolute_error 0.258373 mean_absolute_error 0.258373 mean_absolute_error 0.23445 mean_absolute_error 0.251196 mean_absolute_error 0.227273 mean_absolute_error 0.284689 mean_absolute_error 0.251196 mean_absolute_error 0.229665 mean_absolute_error 0.289474 mean_absolute_error 0.260766 mean_absolute_error 0.253589 mean_absolute_error 0.22488 mean_absolute_error 0.253589 mean_absolute_error 0.236842 mean_absolute_error 0.236842 mean_absolute_error 0.255981 mean_absolute_error 0.229665 mean_absolute_error 0.23445 mean_absolute_error 0.244019 mean_absolute_error 0.244019 mean_absolute_error 0.232057 mean_absolute_error 0.270335 mean_absolute_error 0.255981 mean_absolute_error 0.241627 mean_absolute_error 0.241627 mean_absolute_error 0.244019 mean_absolute_error 0.270335 mean_absolute_error 0.217703 mean_absolute_error 0.255981 mean_absolute_error 0.212919 mean_absolute_error 0.212919 mean_absolute_error 0.263158 mean_absolute_error 0.246411 mean_absolute_error 0.277512 mean_absolute_error 0.26555 mean_absolute_error 0.2494 mean_absolute_error 0.2494 mean_absolute_error 0.22542 mean_absolute_error 0.235012 mean_absolute_error 0.251799 mean_absolute_error 0.254197 mean_absolute_error 0.251799 mean_absolute_error 0.215827 mean_absolute_error 0.247002 mean_absolute_error 0.232614 mean_absolute_error 0.203837 mean_absolute_error 0.218225 mean_absolute_error 0.2494 mean_absolute_error 0.23741 mean_absolute_error 0.266187 mean_absolute_error 0.244604 mean_absolute_error 0.261391 mean_absolute_error 0.258993 mean_absolute_error 0.256595 mean_absolute_error 0.247002 mean_absolute_error 0.2494 mean_absolute_error 0.251799 mean_absolute_error 0.263789 mean_absolute_error 0.247002 mean_absolute_error 0.239808 mean_absolute_error 0.227818 mean_absolute_error 0.256595 mean_absolute_error 0.230216 mean_absolute_error 0.213429 mean_absolute_error 0.239808 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.785985 [0.847561,0.724409] precision 0.752765 [0.816456,0.688462] precision 0.718768 [0.772152,0.665385] precision 0.756178 [0.8,0.711934] precision 0.771739 [0.826347,0.717131] precision 0.759784 [0.807018,0.712551] precision 0.791684 [0.850299,0.733068] precision 0.778087 [0.837349,0.718254] precision 0.744616 [0.780899,0.708333] precision 0.762056 [0.820988,0.703125] precision 0.751121 [0.806061,0.695652] precision 0.759992 [0.80814,0.711382] precision 0.733233 [0.777778,0.688259] precision 0.783907 [0.826816,0.740586] precision 0.760253 [0.80226,0.717842] precision 0.753179 [0.786885,0.719149] precision 0.740218 [0.784884,0.695122] precision 0.75535 [0.814815,0.695312] precision 0.783005 [0.858065,0.707224] precision 0.747053 [0.797619,0.696] precision 0.797729 [0.839779,0.755274] precision 0.789343 [0.853659,0.724409] precision 0.76226 [0.794595,0.729614] precision 0.775852 [0.822857,0.728395] precision 0.743848 [0.807692,0.679389] precision 0.729074 [0.780488,0.677165] precision 0.824994 [0.872222,0.777311] precision 0.74526 [0.802469,0.6875] precision 0.765927 [0.817647,0.71371] precision 0.749164 [0.804878,0.692913] precision 0.729738 [0.792208,0.666667] precision 0.761994 [0.809249,0.714286] precision 0.777872 [0.851613,0.703422] precision 0.753043 [0.80117,0.704453] precision 0.786202 [0.848485,0.72332] precision 0.75535 [0.814815,0.695312] precision 0.744463 [0.771277,0.717391] precision 0.774823 [0.825581,0.723577] precision 0.760036 [0.814371,0.705179] precision 0.784991 [0.844311,0.7251] precision 0.728142 [0.782609,0.673152] precision 0.754575 [0.793296,0.715481] precision 0.775419 [0.813187,0.737288] precision 0.724182 [0.779874,0.667954] precision 0.746341 [0.788571,0.703704] precision 0.757014 [0.809524,0.704] precision 0.789343 [0.853659,0.724409] precision 0.752508 [0.792135,0.7125] precision 0.771864 [0.820809,0.722449] precision 0.770059 [0.813559,0.726141] precision 0.755046 [0.808383,0.701195] precision 0.775419 [0.813187,0.737288] precision 0.77585 [0.829412,0.721774] precision 0.768084 [0.825301,0.710317] precision 0.771779 [0.8375,0.705426] precision 0.774962 [0.819209,0.73029] precision 0.738185 [0.783626,0.692308] precision 0.756132 [0.812121,0.699605] precision 0.766015 [0.811429,0.720165] precision 0.770018 [0.826347,0.713147] precision 0.757993 [0.78125,0.734513] precision 0.743023 [0.8,0.686047] precision 0.790608 [0.84,0.740741] precision 0.754805 [0.807229,0.702381] precision 0.79011 [0.820106,0.759825] precision 0.792081 [0.830601,0.753191] precision 0.74808 [0.801205,0.694444] precision 0.760072 [0.801136,0.719008] precision 0.740032 [0.805195,0.674242] precision 0.739909 [0.776536,0.702929] precision 0.7584 [0.803468,0.713115] precision 0.7624 [0.818182,0.706349] precision 0.784108 [0.836257,0.731707] precision 0.76861 [0.8,0.737069] precision 0.760451 [0.817073,0.703557] precision 0.766574 [0.84106,0.691729] precision 0.757309 [0.805882,0.708502] precision 0.798816 [0.865031,0.732283] precision 0.758803 [0.797753,0.719665] precision 0.772017 [0.807692,0.73617] precision 0.80054 [0.836957,0.763948] precision 0.791024 [0.843023,0.738776] precision 0.755281 [0.790055,0.720339] precision 0.771225 [0.819767,0.722449] precision 0.740697 [0.781609,0.699588] precision 0.771109 [0.836478,0.705426] precision 0.748326 [0.797619,0.698795] precision 0.74769 [0.788571,0.706612] precision 0.752341 [0.8,0.704453] precision 0.763285 [0.815476,0.710843] precision 0.763546 [0.822086,0.704724] precision 0.7539 [0.792135,0.715481] precision 0.74843 [0.803681,0.692913] precision 0.769232 [0.835443,0.702703] precision 0.769232 [0.818713,0.719512] precision 0.776217 [0.809783,0.742489] precision 0.757771 [0.81875,0.696498] precision 0.774811 [0.812155,0.737288] precision 0.793122 [0.837079,0.748954] precision 0.770239 [0.822485,0.717742] predictive_accuracy 0.772727 predictive_accuracy 0.736842 predictive_accuracy 0.705742 predictive_accuracy 0.748804 predictive_accuracy 0.760766 predictive_accuracy 0.751196 predictive_accuracy 0.779904 predictive_accuracy 0.76555 predictive_accuracy 0.739234 predictive_accuracy 0.748804 predictive_accuracy 0.739234 predictive_accuracy 0.751196 predictive_accuracy 0.72488 predictive_accuracy 0.777512 predictive_accuracy 0.753589 predictive_accuracy 0.748804 predictive_accuracy 0.732057 predictive_accuracy 0.741627 predictive_accuracy 0.763158 predictive_accuracy 0.736842 predictive_accuracy 0.791866 predictive_accuracy 0.77512 predictive_accuracy 0.758373 predictive_accuracy 0.767943 predictive_accuracy 0.727273 predictive_accuracy 0.717703 predictive_accuracy 0.818182 predictive_accuracy 0.732057 predictive_accuracy 0.755981 predictive_accuracy 0.736842 predictive_accuracy 0.712919 predictive_accuracy 0.753589 predictive_accuracy 0.758373 predictive_accuracy 0.744019 predictive_accuracy 0.772727 predictive_accuracy 0.741627 predictive_accuracy 0.741627 predictive_accuracy 0.76555 predictive_accuracy 0.748804 predictive_accuracy 0.772727 predictive_accuracy 0.715311 predictive_accuracy 0.748804 predictive_accuracy 0.770335 predictive_accuracy 0.710526 predictive_accuracy 0.739234 predictive_accuracy 0.746411 predictive_accuracy 0.77512 predictive_accuracy 0.746411 predictive_accuracy 0.763158 predictive_accuracy 0.763158 predictive_accuracy 0.744019 predictive_accuracy 0.770335 predictive_accuracy 0.76555 predictive_accuracy 0.755981 predictive_accuracy 0.755981 predictive_accuracy 0.767943 predictive_accuracy 0.729665 predictive_accuracy 0.744019 predictive_accuracy 0.758373 predictive_accuracy 0.758373 predictive_accuracy 0.755981 predictive_accuracy 0.729665 predictive_accuracy 0.782297 predictive_accuracy 0.744019 predictive_accuracy 0.787081 predictive_accuracy 0.787081 predictive_accuracy 0.736842 predictive_accuracy 0.753589 predictive_accuracy 0.722488 predictive_accuracy 0.73445 predictive_accuracy 0.7506 predictive_accuracy 0.7506 predictive_accuracy 0.77458 predictive_accuracy 0.764988 predictive_accuracy 0.748201 predictive_accuracy 0.745803 predictive_accuracy 0.748201 predictive_accuracy 0.784173 predictive_accuracy 0.752998 predictive_accuracy 0.767386 predictive_accuracy 0.796163 predictive_accuracy 0.781775 predictive_accuracy 0.7506 predictive_accuracy 0.76259 predictive_accuracy 0.733813 predictive_accuracy 0.755396 predictive_accuracy 0.738609 predictive_accuracy 0.741007 predictive_accuracy 0.743405 predictive_accuracy 0.752998 predictive_accuracy 0.7506 predictive_accuracy 0.748201 predictive_accuracy 0.736211 predictive_accuracy 0.752998 predictive_accuracy 0.760192 predictive_accuracy 0.772182 predictive_accuracy 0.743405 predictive_accuracy 0.769784 predictive_accuracy 0.786571 predictive_accuracy 0.760192 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.772727 [0.665072,0.880383] recall 0.736842 [0.614286,0.860577] recall 0.705742 [0.583732,0.827751] recall 0.748804 [0.666667,0.831731] recall 0.760766 [0.660287,0.861244] recall 0.751196 [0.660287,0.842105] recall 0.779904 [0.679426,0.880383] recall 0.76555 [0.661905,0.870192] recall 0.739234 [0.665072,0.813397] recall 0.748804 [0.636364,0.861244] recall 0.739234 [0.633333,0.846154] recall 0.751196 [0.661905,0.841346] recall 0.72488 [0.633333,0.817308] recall 0.777512 [0.704762,0.850962] recall 0.753589 [0.67619,0.831731] recall 0.748804 [0.685714,0.8125] recall 0.732057 [0.642857,0.822115] recall 0.741627 [0.628571,0.855769] recall 0.763158 [0.633333,0.894231] recall 0.736842 [0.638095,0.836538] recall 0.791866 [0.72381,0.860577] recall 0.77512 [0.666667,0.884615] recall 0.758373 [0.7,0.817308] recall 0.767943 [0.685714,0.850962] recall 0.727273 [0.6,0.855769] recall 0.717703 [0.609524,0.826923] recall 0.818182 [0.747619,0.889423] recall 0.732057 [0.619048,0.846154] recall 0.755981 [0.661905,0.850962] recall 0.736842 [0.628571,0.846154] recall 0.712919 [0.580952,0.846154] recall 0.753589 [0.666667,0.841346] recall 0.758373 [0.628571,0.889423] recall 0.744019 [0.652381,0.836538] recall 0.772727 [0.666667,0.879808] recall 0.741627 [0.628571,0.855769] recall 0.741627 [0.690476,0.793269] recall 0.76555 [0.67619,0.855769] recall 0.748804 [0.647619,0.850962] recall 0.772727 [0.671429,0.875] recall 0.715311 [0.6,0.831731] recall 0.748804 [0.67619,0.822115] recall 0.770335 [0.704762,0.836538] recall 0.710526 [0.590476,0.831731] recall 0.739234 [0.657143,0.822115] recall 0.746411 [0.647619,0.846154] recall 0.77512 [0.666667,0.884615] recall 0.746411 [0.671429,0.822115] recall 0.763158 [0.67619,0.850962] recall 0.763158 [0.685714,0.841346] recall 0.744019 [0.642857,0.846154] recall 0.770335 [0.704762,0.836538] recall 0.76555 [0.671429,0.860577] recall 0.755981 [0.652381,0.860577] recall 0.755981 [0.638095,0.875] recall 0.767943 [0.690476,0.846154] recall 0.729665 [0.638095,0.822115] recall 0.744019 [0.638095,0.850962] recall 0.758373 [0.67619,0.841346] recall 0.758373 [0.657143,0.860577] recall 0.755981 [0.714286,0.798077] recall 0.729665 [0.61244,0.84689] recall 0.782297 [0.7,0.865385] recall 0.744019 [0.641148,0.84689] recall 0.787081 [0.738095,0.836538] recall 0.787081 [0.72381,0.850962] recall 0.736842 [0.633333,0.841346] recall 0.753589 [0.674641,0.832536] recall 0.722488 [0.590476,0.855769] recall 0.73445 [0.661905,0.807692] recall 0.7506 [0.665072,0.836538] recall 0.7506 [0.645933,0.855769] recall 0.77458 [0.684211,0.865385] recall 0.764988 [0.708134,0.822115] recall 0.748201 [0.641148,0.855769] recall 0.745803 [0.607656,0.884615] recall 0.748201 [0.655502,0.841346] recall 0.784173 [0.674641,0.894231] recall 0.752998 [0.679426,0.826923] recall 0.767386 [0.703349,0.831731] recall 0.796163 [0.736842,0.855769] recall 0.781775 [0.69378,0.870192] recall 0.7506 [0.684211,0.817308] recall 0.76259 [0.674641,0.850962] recall 0.733813 [0.650718,0.817308] recall 0.755396 [0.636364,0.875] recall 0.738609 [0.641148,0.836538] recall 0.741007 [0.660287,0.822115] recall 0.743405 [0.650718,0.836538] recall 0.752998 [0.655502,0.850962] recall 0.7506 [0.641148,0.860577] recall 0.748201 [0.674641,0.822115] recall 0.736211 [0.626794,0.846154] recall 0.752998 [0.631579,0.875] recall 0.760192 [0.669856,0.850962] recall 0.772182 [0.712919,0.831731] recall 0.743405 [0.626794,0.860577] recall 0.769784 [0.703349,0.836538] recall 0.786571 [0.712919,0.860577] recall 0.760192 [0.665072,0.855769] relative_absolute_error 0.454545 relative_absolute_error 0.526325 relative_absolute_error 0.588517 relative_absolute_error 0.502401 relative_absolute_error 0.478469 relative_absolute_error 0.497608 relative_absolute_error 0.440191 relative_absolute_error 0.468908 relative_absolute_error 0.521531 relative_absolute_error 0.502392 relative_absolute_error 0.52154 relative_absolute_error 0.497616 relative_absolute_error 0.550249 relative_absolute_error 0.444984 relative_absolute_error 0.492831 relative_absolute_error 0.502401 relative_absolute_error 0.535894 relative_absolute_error 0.516755 relative_absolute_error 0.473692 relative_absolute_error 0.526325 relative_absolute_error 0.416275 relative_absolute_error 0.449768 relative_absolute_error 0.483262 relative_absolute_error 0.464123 relative_absolute_error 0.545464 relative_absolute_error 0.564603 relative_absolute_error 0.363643 relative_absolute_error 0.535894 relative_absolute_error 0.488047 relative_absolute_error 0.526325 relative_absolute_error 0.574173 relative_absolute_error 0.492831 relative_absolute_error 0.483262 relative_absolute_error 0.511971 relative_absolute_error 0.454553 relative_absolute_error 0.516755 relative_absolute_error 0.516755 relative_absolute_error 0.468908 relative_absolute_error 0.502401 relative_absolute_error 0.454553 relative_absolute_error 0.569388 relative_absolute_error 0.502401 relative_absolute_error 0.459338 relative_absolute_error 0.578957 relative_absolute_error 0.52154 relative_absolute_error 0.507186 relative_absolute_error 0.449768 relative_absolute_error 0.507186 relative_absolute_error 0.473692 relative_absolute_error 0.473692 relative_absolute_error 0.511971 relative_absolute_error 0.459338 relative_absolute_error 0.468908 relative_absolute_error 0.488047 relative_absolute_error 0.488047 relative_absolute_error 0.464123 relative_absolute_error 0.540679 relative_absolute_error 0.511971 relative_absolute_error 0.483262 relative_absolute_error 0.483262 relative_absolute_error 0.488047 relative_absolute_error 0.54067 relative_absolute_error 0.435414 relative_absolute_error 0.511962 relative_absolute_error 0.425845 relative_absolute_error 0.425845 relative_absolute_error 0.526325 relative_absolute_error 0.492823 relative_absolute_error 0.555033 relative_absolute_error 0.53111 relative_absolute_error 0.498805 relative_absolute_error 0.498805 relative_absolute_error 0.450843 relative_absolute_error 0.470028 relative_absolute_error 0.503601 relative_absolute_error 0.508398 relative_absolute_error 0.503601 relative_absolute_error 0.431658 relative_absolute_error 0.494009 relative_absolute_error 0.465232 relative_absolute_error 0.407677 relative_absolute_error 0.436455 relative_absolute_error 0.498805 relative_absolute_error 0.474824 relative_absolute_error 0.532379 relative_absolute_error 0.489213 relative_absolute_error 0.522786 relative_absolute_error 0.51799 relative_absolute_error 0.513194 relative_absolute_error 0.494009 relative_absolute_error 0.498805 relative_absolute_error 0.503601 relative_absolute_error 0.527582 relative_absolute_error 0.494009 relative_absolute_error 0.47962 relative_absolute_error 0.455639 relative_absolute_error 0.513194 relative_absolute_error 0.460436 relative_absolute_error 0.426862 relative_absolute_error 0.47962 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.476731 root_mean_squared_error 0.512989 root_mean_squared_error 0.542456 root_mean_squared_error 0.501195 root_mean_squared_error 0.489116 root_mean_squared_error 0.498802 root_mean_squared_error 0.469144 root_mean_squared_error 0.4842 root_mean_squared_error 0.510652 root_mean_squared_error 0.501195 root_mean_squared_error 0.510652 root_mean_squared_error 0.498802 root_mean_squared_error 0.524518 root_mean_squared_error 0.471686 root_mean_squared_error 0.496399 root_mean_squared_error 0.501195 root_mean_squared_error 0.517632 root_mean_squared_error 0.508304 root_mean_squared_error 0.486664 root_mean_squared_error 0.512989 root_mean_squared_error 0.456217 root_mean_squared_error 0.474216 root_mean_squared_error 0.491555 root_mean_squared_error 0.481723 root_mean_squared_error 0.522233 root_mean_squared_error 0.531316 root_mean_squared_error 0.426401 root_mean_squared_error 0.517632 root_mean_squared_error 0.493983 root_mean_squared_error 0.512989 root_mean_squared_error 0.5358 root_mean_squared_error 0.496399 root_mean_squared_error 0.491555 root_mean_squared_error 0.505946 root_mean_squared_error 0.476731 root_mean_squared_error 0.508304 root_mean_squared_error 0.508304 root_mean_squared_error 0.4842 root_mean_squared_error 0.501195 root_mean_squared_error 0.476731 root_mean_squared_error 0.533563 root_mean_squared_error 0.501195 root_mean_squared_error 0.479234 root_mean_squared_error 0.538028 root_mean_squared_error 0.510652 root_mean_squared_error 0.503576 root_mean_squared_error 0.474216 root_mean_squared_error 0.503576 root_mean_squared_error 0.486664 root_mean_squared_error 0.486664 root_mean_squared_error 0.505946 root_mean_squared_error 0.479234 root_mean_squared_error 0.4842 root_mean_squared_error 0.493983 root_mean_squared_error 0.493983 root_mean_squared_error 0.481723 root_mean_squared_error 0.519937 root_mean_squared_error 0.505946 root_mean_squared_error 0.491555 root_mean_squared_error 0.491555 root_mean_squared_error 0.493983 root_mean_squared_error 0.519937 root_mean_squared_error 0.466587 root_mean_squared_error 0.505946 root_mean_squared_error 0.461431 root_mean_squared_error 0.461431 root_mean_squared_error 0.512989 root_mean_squared_error 0.496399 root_mean_squared_error 0.526794 root_mean_squared_error 0.515316 root_mean_squared_error 0.4994 root_mean_squared_error 0.4994 root_mean_squared_error 0.474784 root_mean_squared_error 0.48478 root_mean_squared_error 0.501795 root_mean_squared_error 0.504179 root_mean_squared_error 0.501795 root_mean_squared_error 0.464572 root_mean_squared_error 0.496993 root_mean_squared_error 0.482301 root_mean_squared_error 0.451483 root_mean_squared_error 0.467146 root_mean_squared_error 0.4994 root_mean_squared_error 0.487247 root_mean_squared_error 0.515933 root_mean_squared_error 0.494575 root_mean_squared_error 0.511264 root_mean_squared_error 0.508913 root_mean_squared_error 0.506552 root_mean_squared_error 0.496993 root_mean_squared_error 0.4994 root_mean_squared_error 0.501795 root_mean_squared_error 0.513604 root_mean_squared_error 0.496993 root_mean_squared_error 0.489702 root_mean_squared_error 0.477303 root_mean_squared_error 0.506552 root_mean_squared_error 0.479808 root_mean_squared_error 0.461984 root_mean_squared_error 0.489702 root_relative_squared_error 0.953456 root_relative_squared_error 1.025989 root_relative_squared_error 1.084905 root_relative_squared_error 1.0024 root_relative_squared_error 0.978226 root_relative_squared_error 0.997598 root_relative_squared_error 0.938281 root_relative_squared_error 0.968411 root_relative_squared_error 1.021298 root_relative_squared_error 1.002383 root_relative_squared_error 1.021315 root_relative_squared_error 0.997615 root_relative_squared_error 1.049048 root_relative_squared_error 0.943383 root_relative_squared_error 0.992808 root_relative_squared_error 1.0024 root_relative_squared_error 1.035275 root_relative_squared_error 1.016619 root_relative_squared_error 0.973339 root_relative_squared_error 1.025989 root_relative_squared_error 0.912444 root_relative_squared_error 0.948441 root_relative_squared_error 0.983122 root_relative_squared_error 0.963457 root_relative_squared_error 1.044477 root_relative_squared_error 1.062643 root_relative_squared_error 0.852812 root_relative_squared_error 1.035275 root_relative_squared_error 0.987976 root_relative_squared_error 1.025989 root_relative_squared_error 1.071611 root_relative_squared_error 0.992808 root_relative_squared_error 0.983122 root_relative_squared_error 1.011902 root_relative_squared_error 0.953473 root_relative_squared_error 1.016619 root_relative_squared_error 1.016619 root_relative_squared_error 0.968411 root_relative_squared_error 1.0024 root_relative_squared_error 0.953473 root_relative_squared_error 1.067137 root_relative_squared_error 1.0024 root_relative_squared_error 0.958478 root_relative_squared_error 1.076067 root_relative_squared_error 1.021315 root_relative_squared_error 1.007162 root_relative_squared_error 0.948441 root_relative_squared_error 1.007162 root_relative_squared_error 0.973339 root_relative_squared_error 0.973339 root_relative_squared_error 1.011902 root_relative_squared_error 0.958478 root_relative_squared_error 0.968411 root_relative_squared_error 0.987976 root_relative_squared_error 0.987976 root_relative_squared_error 0.963457 root_relative_squared_error 1.039886 root_relative_squared_error 1.011902 root_relative_squared_error 0.983122 root_relative_squared_error 0.983122 root_relative_squared_error 0.987976 root_relative_squared_error 1.039868 root_relative_squared_error 0.933184 root_relative_squared_error 1.011885 root_relative_squared_error 0.922872 root_relative_squared_error 0.922872 root_relative_squared_error 1.025989 root_relative_squared_error 0.992791 root_relative_squared_error 1.053599 root_relative_squared_error 1.030642 root_relative_squared_error 0.998802 root_relative_squared_error 0.998802 root_relative_squared_error 0.94957 root_relative_squared_error 0.969563 root_relative_squared_error 1.003593 root_relative_squared_error 1.008361 root_relative_squared_error 1.003593 root_relative_squared_error 0.929146 root_relative_squared_error 0.993989 root_relative_squared_error 0.964603 root_relative_squared_error 0.902968 root_relative_squared_error 0.934294 root_relative_squared_error 0.998802 root_relative_squared_error 0.974497 root_relative_squared_error 1.031869 root_relative_squared_error 0.989152 root_relative_squared_error 1.02253 root_relative_squared_error 1.017829 root_relative_squared_error 1.013106 root_relative_squared_error 0.993989 root_relative_squared_error 0.998802 root_relative_squared_error 1.003593 root_relative_squared_error 1.02721 root_relative_squared_error 0.993989 root_relative_squared_error 0.979406 root_relative_squared_error 0.954607 root_relative_squared_error 1.013106 root_relative_squared_error 0.959618 root_relative_squared_error 0.92397 root_relative_squared_error 0.979406 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 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 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 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 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 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 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 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 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 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 1290 usercpu_time_millis 3240 usercpu_time_millis 1980 usercpu_time_millis 3140 usercpu_time_millis 1720 usercpu_time_millis 2440 usercpu_time_millis 2510 usercpu_time_millis 1430 usercpu_time_millis 2060 usercpu_time_millis 1700 usercpu_time_millis 2800 usercpu_time_millis 2120 usercpu_time_millis 1860 usercpu_time_millis 3080 usercpu_time_millis 1900 usercpu_time_millis 2040 usercpu_time_millis 2690 usercpu_time_millis 2370 usercpu_time_millis 1940 usercpu_time_millis 1640 usercpu_time_millis 1240 usercpu_time_millis 1160 usercpu_time_millis 2210 usercpu_time_millis 2780 usercpu_time_millis 1660 usercpu_time_millis 2260 usercpu_time_millis 1410 usercpu_time_millis 2270 usercpu_time_millis 1150 usercpu_time_millis 3010 usercpu_time_millis 3110 usercpu_time_millis 2100 usercpu_time_millis 1890 usercpu_time_millis 1420 usercpu_time_millis 1680 usercpu_time_millis 2410 usercpu_time_millis 2430 usercpu_time_millis 2230 usercpu_time_millis 1980 usercpu_time_millis 2850 usercpu_time_millis 1670 usercpu_time_millis 2360 usercpu_time_millis 2750 usercpu_time_millis 2100 usercpu_time_millis 1760 usercpu_time_millis 1510 usercpu_time_millis 2550 usercpu_time_millis 1270 usercpu_time_millis 2000 usercpu_time_millis 3040 usercpu_time_millis 3100 usercpu_time_millis 1870 usercpu_time_millis 1870 usercpu_time_millis 2010 usercpu_time_millis 1970 usercpu_time_millis 2550 usercpu_time_millis 2560 usercpu_time_millis 1730 usercpu_time_millis 1720 usercpu_time_millis 2590 usercpu_time_millis 2940 usercpu_time_millis 1770 usercpu_time_millis 2940 usercpu_time_millis 2110 usercpu_time_millis 1960 usercpu_time_millis 2430 usercpu_time_millis 1540 usercpu_time_millis 1680 usercpu_time_millis 1200 usercpu_time_millis 2980 usercpu_time_millis 3210 usercpu_time_millis 2020 usercpu_time_millis 3000 usercpu_time_millis 2000 usercpu_time_millis 1800 usercpu_time_millis 2470 usercpu_time_millis 2340 usercpu_time_millis 1800 usercpu_time_millis 1700 usercpu_time_millis 2730 usercpu_time_millis 2820 usercpu_time_millis 1380 usercpu_time_millis 2930 usercpu_time_millis 2380 usercpu_time_millis 2060 usercpu_time_millis 1330 usercpu_time_millis 2060 usercpu_time_millis 1250 usercpu_time_millis 1800 usercpu_time_millis 2610 usercpu_time_millis 1790 usercpu_time_millis 1960 usercpu_time_millis 1240 usercpu_time_millis 2230 usercpu_time_millis 1830 usercpu_time_millis 2390 usercpu_time_millis 2310 usercpu_time_millis 2130 usercpu_time_millis 1700 usercpu_time_millis 1960 usercpu_time_millis_testing 90 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 160 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 90 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 140 usercpu_time_millis_testing 110 usercpu_time_millis_testing 100 usercpu_time_millis_testing 160 usercpu_time_millis_testing 90 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_testing 100 usercpu_time_millis_testing 130 usercpu_time_millis_testing 100 usercpu_time_millis_testing 150 usercpu_time_millis_testing 150 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 100 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 150 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 90 usercpu_time_millis_testing 110 usercpu_time_millis_testing 150 usercpu_time_millis_testing 170 usercpu_time_millis_testing 120 usercpu_time_millis_testing 90 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_testing 90 usercpu_time_millis_testing 110 usercpu_time_millis_testing 100 usercpu_time_millis_testing 150 usercpu_time_millis_testing 160 usercpu_time_millis_testing 110 usercpu_time_millis_testing 140 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 100 usercpu_time_millis_testing 160 usercpu_time_millis_testing 90 usercpu_time_millis_testing 140 usercpu_time_millis_testing 120 usercpu_time_millis_testing 120 usercpu_time_millis_testing 100 usercpu_time_millis_testing 120 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 130 usercpu_time_millis_testing 120 usercpu_time_millis_testing 110 usercpu_time_millis_testing 120 usercpu_time_millis_training 1200 usercpu_time_millis_training 3100 usercpu_time_millis_training 1860 usercpu_time_millis_training 2980 usercpu_time_millis_training 1600 usercpu_time_millis_training 2310 usercpu_time_millis_training 2390 usercpu_time_millis_training 1340 usercpu_time_millis_training 1940 usercpu_time_millis_training 1590 usercpu_time_millis_training 2660 usercpu_time_millis_training 2010 usercpu_time_millis_training 1760 usercpu_time_millis_training 2920 usercpu_time_millis_training 1810 usercpu_time_millis_training 1920 usercpu_time_millis_training 2570 usercpu_time_millis_training 2250 usercpu_time_millis_training 1820 usercpu_time_millis_training 1510 usercpu_time_millis_training 1120 usercpu_time_millis_training 1060 usercpu_time_millis_training 2100 usercpu_time_millis_training 2660 usercpu_time_millis_training 1550 usercpu_time_millis_training 2140 usercpu_time_millis_training 1310 usercpu_time_millis_training 2140 usercpu_time_millis_training 1050 usercpu_time_millis_training 2860 usercpu_time_millis_training 2960 usercpu_time_millis_training 1980 usercpu_time_millis_training 1770 usercpu_time_millis_training 1320 usercpu_time_millis_training 1560 usercpu_time_millis_training 2290 usercpu_time_millis_training 2310 usercpu_time_millis_training 2110 usercpu_time_millis_training 1870 usercpu_time_millis_training 2720 usercpu_time_millis_training 1550 usercpu_time_millis_training 2240 usercpu_time_millis_training 2600 usercpu_time_millis_training 1980 usercpu_time_millis_training 1650 usercpu_time_millis_training 1380 usercpu_time_millis_training 2430 usercpu_time_millis_training 1180 usercpu_time_millis_training 1890 usercpu_time_millis_training 2890 usercpu_time_millis_training 2930 usercpu_time_millis_training 1750 usercpu_time_millis_training 1780 usercpu_time_millis_training 1890 usercpu_time_millis_training 1850 usercpu_time_millis_training 2420 usercpu_time_millis_training 2440 usercpu_time_millis_training 1620 usercpu_time_millis_training 1610 usercpu_time_millis_training 2450 usercpu_time_millis_training 2820 usercpu_time_millis_training 1660 usercpu_time_millis_training 2810 usercpu_time_millis_training 1990 usercpu_time_millis_training 1850 usercpu_time_millis_training 2310 usercpu_time_millis_training 1450 usercpu_time_millis_training 1570 usercpu_time_millis_training 1100 usercpu_time_millis_training 2830 usercpu_time_millis_training 3050 usercpu_time_millis_training 1910 usercpu_time_millis_training 2860 usercpu_time_millis_training 1900 usercpu_time_millis_training 1690 usercpu_time_millis_training 2350 usercpu_time_millis_training 2220 usercpu_time_millis_training 1660 usercpu_time_millis_training 1580 usercpu_time_millis_training 2630 usercpu_time_millis_training 2660 usercpu_time_millis_training 1290 usercpu_time_millis_training 2790 usercpu_time_millis_training 2260 usercpu_time_millis_training 1940 usercpu_time_millis_training 1230 usercpu_time_millis_training 1940 usercpu_time_millis_training 1150 usercpu_time_millis_training 1690 usercpu_time_millis_training 2490 usercpu_time_millis_training 1690 usercpu_time_millis_training 1850 usercpu_time_millis_training 1140 usercpu_time_millis_training 2120 usercpu_time_millis_training 1720 usercpu_time_millis_training 2260 usercpu_time_millis_training 2180 usercpu_time_millis_training 2010 usercpu_time_millis_training 1590 usercpu_time_millis_training 1840