370404 2 Joaquin Vanschoren 4417 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 847 wind https://www.openml.org/data/download/53381/wind.arff -1 1285412 description https://api.openml.org/data/download/1285412/weka_generated_run1156664204290348284.xml -1 1285415 model_readable https://api.openml.org/data/download/1285415/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2391350600086167072.model -1 1285414 model_serialized https://api.openml.org/data/download/1285414/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1728203254389208561.model -1 1285413 predictions https://api.openml.org/data/download/1285413/weka_generated_predictions5040316540078330460.arff area_under_roc_curve 0.928449 [0.928449,0.928449] average_cost 0 f_measure 0.847897 [0.856545,0.838045] kappa 0.694596 kb_relative_information_score 41642.548212 mean_absolute_error 0.189653 mean_prior_absolute_error 0.497881 number_of_instances 65740 [35010,30730] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.847974 [0.860221,0.834021] predictive_accuracy 0.847855 prior_entropy 0.996942 recall 0.847855 [0.852899,0.842109] relative_absolute_error 0.380919 root_mean_prior_squared_error 0.498939 root_mean_squared_error 0.329488 root_relative_squared_error 0.660378 scimark_benchmark 1362.992396 [813.1658067645254, 974.6863985124262, 516.7189180534734, 1066.9271394729271, 3443.4637147259] total_cost 0 usercpu_time_millis 60 usercpu_time_millis_testing 30 usercpu_time_millis_training 30 area_under_roc_curve 0.936338 [0.936338,0.936338] area_under_roc_curve 0.924592 [0.924592,0.924592] area_under_roc_curve 0.943697 [0.943697,0.943697] area_under_roc_curve 0.928868 [0.928868,0.928868] area_under_roc_curve 0.918293 [0.918293,0.918293] area_under_roc_curve 0.944036 [0.944036,0.944036] area_under_roc_curve 0.949814 [0.949814,0.949814] area_under_roc_curve 0.938751 [0.938751,0.938751] area_under_roc_curve 0.924543 [0.924543,0.924543] area_under_roc_curve 0.922279 [0.922279,0.922279] area_under_roc_curve 0.922273 [0.922273,0.922273] area_under_roc_curve 0.93103 [0.93103,0.93103] area_under_roc_curve 0.926846 [0.926846,0.926846] area_under_roc_curve 0.922481 [0.922481,0.922481] area_under_roc_curve 0.94577 [0.94577,0.94577] area_under_roc_curve 0.92462 [0.92462,0.92462] area_under_roc_curve 0.930506 [0.930506,0.930506] area_under_roc_curve 0.919518 [0.919518,0.919518] area_under_roc_curve 0.935506 [0.935506,0.935506] area_under_roc_curve 0.932486 [0.932486,0.932486] area_under_roc_curve 0.948043 [0.948043,0.948043] area_under_roc_curve 0.925213 [0.925213,0.925213] area_under_roc_curve 0.917839 [0.917839,0.917839] area_under_roc_curve 0.936299 [0.936299,0.936299] area_under_roc_curve 0.934068 [0.934068,0.934068] area_under_roc_curve 0.919128 [0.919128,0.919128] area_under_roc_curve 0.932236 [0.932236,0.932236] area_under_roc_curve 0.943284 [0.943284,0.943284] area_under_roc_curve 0.929777 [0.929777,0.929777] area_under_roc_curve 0.93116 [0.93116,0.93116] area_under_roc_curve 0.927083 [0.927083,0.927083] area_under_roc_curve 0.928896 [0.928896,0.928896] area_under_roc_curve 0.932134 [0.932134,0.932134] area_under_roc_curve 0.935364 [0.935364,0.935364] area_under_roc_curve 0.930751 [0.930751,0.930751] area_under_roc_curve 0.919675 [0.919675,0.919675] area_under_roc_curve 0.936329 [0.936329,0.936329] area_under_roc_curve 0.92551 [0.92551,0.92551] area_under_roc_curve 0.937885 [0.937885,0.937885] area_under_roc_curve 0.930232 [0.930232,0.930232] area_under_roc_curve 0.927715 [0.927715,0.927715] area_under_roc_curve 0.904737 [0.904737,0.904737] area_under_roc_curve 0.935747 [0.935747,0.935747] area_under_roc_curve 0.917366 [0.917366,0.917366] area_under_roc_curve 0.926887 [0.926887,0.926887] area_under_roc_curve 0.932182 [0.932182,0.932182] area_under_roc_curve 0.931038 [0.931038,0.931038] area_under_roc_curve 0.92309 [0.92309,0.92309] area_under_roc_curve 0.9302 [0.9302,0.9302] area_under_roc_curve 0.930875 [0.930875,0.930875] area_under_roc_curve 0.93208 [0.93208,0.93208] area_under_roc_curve 0.939079 [0.939079,0.939079] area_under_roc_curve 0.940186 [0.940186,0.940186] area_under_roc_curve 0.933485 [0.933485,0.933485] area_under_roc_curve 0.925779 [0.925779,0.925779] area_under_roc_curve 0.943113 [0.943113,0.943113] area_under_roc_curve 0.898883 [0.898883,0.898883] area_under_roc_curve 0.934509 [0.934509,0.934509] area_under_roc_curve 0.925761 [0.925761,0.925761] area_under_roc_curve 0.930172 [0.930172,0.930172] area_under_roc_curve 0.940884 [0.940884,0.940884] area_under_roc_curve 0.941294 [0.941294,0.941294] area_under_roc_curve 0.932122 [0.932122,0.932122] area_under_roc_curve 0.925109 [0.925109,0.925109] area_under_roc_curve 0.928804 [0.928804,0.928804] area_under_roc_curve 0.917627 [0.917627,0.917627] area_under_roc_curve 0.926254 [0.926254,0.926254] area_under_roc_curve 0.940382 [0.940382,0.940382] area_under_roc_curve 0.920428 [0.920428,0.920428] area_under_roc_curve 0.921349 [0.921349,0.921349] area_under_roc_curve 0.91543 [0.91543,0.91543] area_under_roc_curve 0.921992 [0.921992,0.921992] area_under_roc_curve 0.920465 [0.920465,0.920465] area_under_roc_curve 0.925035 [0.925035,0.925035] area_under_roc_curve 0.912517 [0.912517,0.912517] area_under_roc_curve 0.935105 [0.935105,0.935105] area_under_roc_curve 0.925835 [0.925835,0.925835] area_under_roc_curve 0.938865 [0.938865,0.938865] area_under_roc_curve 0.915161 [0.915161,0.915161] area_under_roc_curve 0.929079 [0.929079,0.929079] area_under_roc_curve 0.924053 [0.924053,0.924053] area_under_roc_curve 0.932303 [0.932303,0.932303] area_under_roc_curve 0.928553 [0.928553,0.928553] area_under_roc_curve 0.938962 [0.938962,0.938962] area_under_roc_curve 0.931 [0.931,0.931] area_under_roc_curve 0.925938 [0.925938,0.925938] area_under_roc_curve 0.923499 [0.923499,0.923499] area_under_roc_curve 0.899646 [0.899646,0.899646] area_under_roc_curve 0.932685 [0.932685,0.932685] area_under_roc_curve 0.921591 [0.921591,0.921591] area_under_roc_curve 0.910237 [0.910237,0.910237] area_under_roc_curve 0.936231 [0.936231,0.936231] area_under_roc_curve 0.916147 [0.916147,0.916147] area_under_roc_curve 0.927976 [0.927976,0.927976] area_under_roc_curve 0.92845 [0.92845,0.92845] area_under_roc_curve 0.92825 [0.92825,0.92825] area_under_roc_curve 0.931484 [0.931484,0.931484] area_under_roc_curve 0.927268 [0.927268,0.927268] area_under_roc_curve 0.926114 [0.926114,0.926114] area_under_roc_curve 0.931066 [0.931066,0.931066] 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 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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 0.854245 [0.860465,0.847134] f_measure 0.835668 [0.847887,0.821782] f_measure 0.864728 [0.8734,0.854812] f_measure 0.839052 [0.845481,0.831746] f_measure 0.842109 [0.848397,0.834921] f_measure 0.867706 [0.876945,0.857143] f_measure 0.87091 [0.87699,0.864] f_measure 0.846548 [0.855508,0.836305] f_measure 0.845123 [0.852174,0.837061] f_measure 0.846634 [0.853835,0.8384] f_measure 0.840516 [0.848485,0.831461] f_measure 0.849609 [0.857554,0.84058] f_measure 0.84334 [0.854314,0.83087] f_measure 0.823839 [0.831884,0.814696] f_measure 0.87091 [0.87699,0.864] f_measure 0.841878 [0.852273,0.830065] f_measure 0.860232 [0.867816,0.851613] f_measure 0.831454 [0.838428,0.823529] f_measure 0.861838 [0.866764,0.85624] f_measure 0.860317 [0.865497,0.85443] f_measure 0.872435 [0.878261,0.865815] f_measure 0.846297 [0.857947,0.833058] f_measure 0.830852 [0.845619,0.81407] f_measure 0.875354 [0.883191,0.86645] f_measure 0.8648 [0.871942,0.856683] f_measure 0.818789 [0.833566,0.801997] f_measure 0.854176 [0.861671,0.845659] f_measure 0.861715 [0.869814,0.852512] f_measure 0.853968 [0.864407,0.842105] f_measure 0.855508 [0.865629,0.844007] f_measure 0.857214 [0.864553,0.848875] f_measure 0.855688 [0.863702,0.846527] f_measure 0.848171 [0.853801,0.841772] f_measure 0.857255 [0.864162,0.849359] f_measure 0.841913 [0.851852,0.830619] f_measure 0.829872 [0.838617,0.819936] f_measure 0.849612 [0.857963,0.840065] f_measure 0.844841 [0.855932,0.832237] f_measure 0.851138 [0.85879,0.842444] f_measure 0.855662 [0.863702,0.846527] f_measure 0.844778 [0.853868,0.834416] f_measure 0.820533 [0.828986,0.810897] f_measure 0.846434 [0.851689,0.840442] f_measure 0.849267 [0.859175,0.837971] f_measure 0.83859 [0.849432,0.82623] f_measure 0.84933 [0.858369,0.839024] f_measure 0.847761 [0.85755,0.836601] f_measure 0.844805 [0.853448,0.834951] f_measure 0.852277 [0.862411,0.840722] f_measure 0.84638 [0.853835,0.837881] f_measure 0.850735 [0.86119,0.838816] f_measure 0.872119 [0.880342,0.862745] f_measure 0.859754 [0.870787,0.847176] f_measure 0.856977 [0.864943,0.847896] f_measure 0.834212 [0.842258,0.82504] f_measure 0.864615 [0.871573,0.856683] f_measure 0.808422 [0.813609,0.802508] f_measure 0.87834 [0.883721,0.872204] f_measure 0.849151 [0.860367,0.836364] f_measure 0.835742 [0.843478,0.826923] f_measure 0.846314 [0.855093,0.836305] f_measure 0.860077 [0.866667,0.852564] f_measure 0.858402 [0.86771,0.847791] f_measure 0.844778 [0.853868,0.834416] f_measure 0.844601 [0.855932,0.831683] f_measure 0.834192 [0.842713,0.824477] f_measure 0.83859 [0.849432,0.82623] f_measure 0.865999 [0.875,0.855738] f_measure 0.847761 [0.85755,0.836601] f_measure 0.834141 [0.843615,0.823339] f_measure 0.834168 [0.843165,0.82391] f_measure 0.820488 [0.829971,0.809677] f_measure 0.828054 [0.837877,0.816856] f_measure 0.841635 [0.852273,0.829508] f_measure 0.837297 [0.843796,0.829889] f_measure 0.859996 [0.868195,0.850649] f_measure 0.841705 [0.851429,0.830619] f_measure 0.872171 [0.879656,0.863636] f_measure 0.835781 [0.842105,0.828571] f_measure 0.861447 [0.870555,0.851064] f_measure 0.826484 [0.837143,0.814332] f_measure 0.840313 [0.847605,0.832] f_measure 0.869102 [0.877143,0.859935] f_measure 0.861627 [0.867153,0.855326] f_measure 0.852312 [0.86202,0.841244] f_measure 0.841786 [0.850144,0.832258] f_measure 0.845905 [0.859135,0.830821] f_measure 0.817509 [0.825581,0.808307] f_measure 0.855323 [0.865248,0.844007] f_measure 0.844805 [0.853448,0.834951] f_measure 0.834141 [0.843615,0.823339] f_measure 0.861605 [0.867925,0.8544] f_measure 0.834245 [0.841339,0.826156] f_measure 0.841635 [0.852273,0.829508] f_measure 0.859996 [0.868195,0.850649] f_measure 0.83427 [0.839941,0.827804] f_measure 0.84933 [0.858369,0.839024] f_measure 0.841705 [0.851429,0.830619] f_measure 0.840093 [0.851064,0.827586] f_measure 0.855005 [0.867872,0.840336] kappa 0.707731 kappa 0.669746 kappa 0.728213 kappa 0.677373 kappa 0.683505 kappa 0.734103 kappa 0.741038 kappa 0.691819 kappa 0.689338 kappa 0.692321 kappa 0.679982 kappa 0.698151 kappa 0.68522 kappa 0.646662 kappa 0.741038 kappa 0.68235 kappa 0.719439 kappa 0.66209 kappa 0.723189 kappa 0.720093 kappa 0.744135 kappa 0.691091 kappa 0.659975 kappa 0.749643 kappa 0.728641 kappa 0.635754 kappa 0.707355 kappa 0.722327 kappa 0.706556 kappa 0.709669 kappa 0.713452 kappa 0.710245 kappa 0.695753 kappa 0.713587 kappa 0.682474 kappa 0.658581 kappa 0.698045 kappa 0.688215 kappa 0.701258 kappa 0.710234 kappa 0.688287 kappa 0.639967 kappa 0.692389 kappa 0.697152 kappa 0.675673 kappa 0.697394 kappa 0.694154 kappa 0.688411 kappa 0.703151 kappa 0.691774 kappa 0.700031 kappa 0.743089 kappa 0.718057 kappa 0.71285 kappa 0.66736 kappa 0.728287 kappa 0.616629 kappa 0.756007 kappa 0.696788 kappa 0.670478 kappa 0.691404 kappa 0.719296 kappa 0.715506 kappa 0.688287 kappa 0.687662 kappa 0.667227 kappa 0.675673 kappa 0.730748 kappa 0.694154 kappa 0.666961 kappa 0.667094 kappa 0.639679 kappa 0.65474 kappa 0.681793 kappa 0.673855 kappa 0.718847 kappa 0.682047 kappa 0.743295 kappa 0.670872 kappa 0.721624 kappa 0.651475 kappa 0.679695 kappa 0.737078 kappa 0.722624 kappa 0.70327 kappa 0.682429 kappa 0.690165 kappa 0.63401 kappa 0.709272 kappa 0.688411 kappa 0.666961 kappa 0.722403 kappa 0.667626 kappa 0.681793 kappa 0.718847 kappa 0.668023 kappa 0.697394 kappa 0.682047 kappa 0.678669 kappa 0.708454 kb_relative_information_score 424.8855 kb_relative_information_score 403.181264 kb_relative_information_score 440.911345 kb_relative_information_score 409.921977 kb_relative_information_score 406.712584 kb_relative_information_score 444.565543 kb_relative_information_score 443.718334 kb_relative_information_score 428.678338 kb_relative_information_score 407.945997 kb_relative_information_score 404.893645 kb_relative_information_score 407.581218 kb_relative_information_score 416.180284 kb_relative_information_score 410.828493 kb_relative_information_score 404.947374 kb_relative_information_score 441.424917 kb_relative_information_score 408.4561 kb_relative_information_score 428.264662 kb_relative_information_score 393.274108 kb_relative_information_score 432.246873 kb_relative_information_score 436.042591 kb_relative_information_score 442.359077 kb_relative_information_score 412.9524 kb_relative_information_score 405.323715 kb_relative_information_score 434.856559 kb_relative_information_score 426.739333 kb_relative_information_score 401.037442 kb_relative_information_score 426.764883 kb_relative_information_score 430.558808 kb_relative_information_score 420.421076 kb_relative_information_score 420.862031 kb_relative_information_score 418.79471 kb_relative_information_score 420.492464 kb_relative_information_score 413.82687 kb_relative_information_score 424.456758 kb_relative_information_score 415.18444 kb_relative_information_score 408.319297 kb_relative_information_score 422.02947 kb_relative_information_score 410.703505 kb_relative_information_score 427.751854 kb_relative_information_score 419.152249 kb_relative_information_score 413.334758 kb_relative_information_score 388.090792 kb_relative_information_score 420.812647 kb_relative_information_score 407.49675 kb_relative_information_score 405.241307 kb_relative_information_score 418.141373 kb_relative_information_score 419.89992 kb_relative_information_score 414.048376 kb_relative_information_score 417.78102 kb_relative_information_score 416.56223 kb_relative_information_score 417.257462 kb_relative_information_score 436.535482 kb_relative_information_score 433.714445 kb_relative_information_score 424.418831 kb_relative_information_score 400.843425 kb_relative_information_score 433.547678 kb_relative_information_score 370.011407 kb_relative_information_score 435.213299 kb_relative_information_score 414.941999 kb_relative_information_score 411.764236 kb_relative_information_score 434.502886 kb_relative_information_score 431.477609 kb_relative_information_score 428.763632 kb_relative_information_score 411.77386 kb_relative_information_score 419.078603 kb_relative_information_score 399.049754 kb_relative_information_score 406.791358 kb_relative_information_score 428.087598 kb_relative_information_score 410.944343 kb_relative_information_score 397.642501 kb_relative_information_score 398.009052 kb_relative_information_score 399.635693 kb_relative_information_score 400.367818 kb_relative_information_score 403.127211 kb_relative_information_score 401.184977 kb_relative_information_score 424.629743 kb_relative_information_score 411.791953 kb_relative_information_score 439.394184 kb_relative_information_score 398.153324 kb_relative_information_score 425.16368 kb_relative_information_score 412.191172 kb_relative_information_score 419.73226 kb_relative_information_score 426.875201 kb_relative_information_score 433.317193 kb_relative_information_score 424.715815 kb_relative_information_score 414.081425 kb_relative_information_score 414.249013 kb_relative_information_score 377.879373 kb_relative_information_score 422.623668 kb_relative_information_score 409.800532 kb_relative_information_score 390.100343 kb_relative_information_score 435.303877 kb_relative_information_score 396.319794 kb_relative_information_score 416.1737 kb_relative_information_score 419.698118 kb_relative_information_score 410.440121 kb_relative_information_score 418.248591 kb_relative_information_score 411.516653 kb_relative_information_score 406.719119 kb_relative_information_score 416.086943 mean_absolute_error 0.183858 mean_absolute_error 0.20019 mean_absolute_error 0.172533 mean_absolute_error 0.194617 mean_absolute_error 0.196126 mean_absolute_error 0.168853 mean_absolute_error 0.169739 mean_absolute_error 0.180244 mean_absolute_error 0.196997 mean_absolute_error 0.198993 mean_absolute_error 0.196481 mean_absolute_error 0.189813 mean_absolute_error 0.195023 mean_absolute_error 0.196223 mean_absolute_error 0.171751 mean_absolute_error 0.196539 mean_absolute_error 0.180994 mean_absolute_error 0.206988 mean_absolute_error 0.178327 mean_absolute_error 0.175198 mean_absolute_error 0.171749 mean_absolute_error 0.192815 mean_absolute_error 0.196829 mean_absolute_error 0.177341 mean_absolute_error 0.182599 mean_absolute_error 0.20028 mean_absolute_error 0.182306 mean_absolute_error 0.178981 mean_absolute_error 0.187846 mean_absolute_error 0.185745 mean_absolute_error 0.189399 mean_absolute_error 0.188094 mean_absolute_error 0.192112 mean_absolute_error 0.183446 mean_absolute_error 0.190921 mean_absolute_error 0.195438 mean_absolute_error 0.186411 mean_absolute_error 0.194508 mean_absolute_error 0.181198 mean_absolute_error 0.188511 mean_absolute_error 0.191382 mean_absolute_error 0.209589 mean_absolute_error 0.186295 mean_absolute_error 0.197314 mean_absolute_error 0.198008 mean_absolute_error 0.188654 mean_absolute_error 0.186827 mean_absolute_error 0.190261 mean_absolute_error 0.188428 mean_absolute_error 0.188459 mean_absolute_error 0.189371 mean_absolute_error 0.175656 mean_absolute_error 0.176783 mean_absolute_error 0.183079 mean_absolute_error 0.199948 mean_absolute_error 0.177581 mean_absolute_error 0.223214 mean_absolute_error 0.177472 mean_absolute_error 0.191065 mean_absolute_error 0.191982 mean_absolute_error 0.175118 mean_absolute_error 0.177824 mean_absolute_error 0.180916 mean_absolute_error 0.19349 mean_absolute_error 0.187236 mean_absolute_error 0.202185 mean_absolute_error 0.195792 mean_absolute_error 0.180935 mean_absolute_error 0.193348 mean_absolute_error 0.203205 mean_absolute_error 0.20308 mean_absolute_error 0.201004 mean_absolute_error 0.200856 mean_absolute_error 0.199777 mean_absolute_error 0.201305 mean_absolute_error 0.18397 mean_absolute_error 0.193925 mean_absolute_error 0.173 mean_absolute_error 0.203424 mean_absolute_error 0.183572 mean_absolute_error 0.190717 mean_absolute_error 0.186527 mean_absolute_error 0.182729 mean_absolute_error 0.177243 mean_absolute_error 0.182877 mean_absolute_error 0.190822 mean_absolute_error 0.190932 mean_absolute_error 0.217604 mean_absolute_error 0.185293 mean_absolute_error 0.193825 mean_absolute_error 0.209157 mean_absolute_error 0.174858 mean_absolute_error 0.203108 mean_absolute_error 0.189146 mean_absolute_error 0.188501 mean_absolute_error 0.192511 mean_absolute_error 0.187855 mean_absolute_error 0.193135 mean_absolute_error 0.196323 mean_absolute_error 0.1909 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 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mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] precision 0.85516 [0.878338,0.82866] precision 0.835858 [0.836111,0.83557] precision 0.864717 [0.872159,0.856209] precision 0.839957 [0.863095,0.813665] precision 0.843268 [0.868657,0.814241] precision 0.867731 [0.870787,0.864238] precision 0.871324 [0.888563,0.851735] precision 0.846627 [0.859195,0.832258] precision 0.845823 [0.867257,0.821317] precision 0.847236 [0.867647,0.823899] precision 0.840797 [0.857143,0.822222] precision 0.849771 [0.863768,0.833866] precision 0.843408 [0.845938,0.840532] precision 0.82435 [0.844118,0.801887] precision 0.871324 [0.888563,0.851735] precision 0.841873 [0.847458,0.835526] precision 0.860345 [0.872832,0.846154] precision 0.83225 [0.854599,0.806854] precision 0.863124 [0.888889,0.833846] precision 0.861469 [0.886228,0.833333] precision 0.872933 [0.891176,0.852201] precision 0.846565 [0.844875,0.848485] precision 0.831797 [0.823848,0.84083] precision 0.875345 [0.880682,0.869281] precision 0.864958 [0.878261,0.84984] precision 0.819288 [0.816438,0.822526] precision 0.854392 [0.869186,0.83758] precision 0.861732 [0.87106,0.851133] precision 0.854086 [0.854749,0.853333] precision 0.855588 [0.857143,0.853821] precision 0.857429 [0.872093,0.840764] precision 0.855853 [0.869942,0.839744] precision 0.849319 [0.874251,0.820988] precision 0.857764 [0.876833,0.835962] precision 0.841896 [0.849432,0.833333] precision 0.830096 [0.84593,0.812102] precision 0.849778 [0.864162,0.833333] precision 0.844948 [0.846369,0.843333] precision 0.851355 [0.866279,0.834395] precision 0.855737 [0.867435,0.842444] precision 0.844824 [0.856322,0.831715] precision 0.821051 [0.841176,0.798107] precision 0.848011 [0.876133,0.815951] precision 0.849254 [0.855524,0.842105] precision 0.838582 [0.844633,0.831683] precision 0.849348 [0.859599,0.837662] precision 0.847745 [0.855114,0.839344] precision 0.844924 [0.858382,0.829582] precision 0.852293 [0.856338,0.847682] precision 0.846807 [0.865103,0.825949] precision 0.850775 [0.853933,0.847176] precision 0.872109 [0.877841,0.865574] precision 0.860117 [0.856354,0.864407] precision 0.857093 [0.869942,0.842444] precision 0.834643 [0.853372,0.813291] precision 0.864891 [0.880466,0.847134] precision 0.810782 [0.843558,0.773414] precision 0.879031 [0.899408,0.855799] precision 0.849307 [0.849582,0.848993] precision 0.836256 [0.855882,0.81388] precision 0.846392 [0.85879,0.832258] precision 0.860583 [0.879412,0.839117] precision 0.858392 [0.864023,0.851974] precision 0.844824 [0.856322,0.831715] precision 0.844706 [0.846369,0.842809] precision 0.834478 [0.851312,0.815287] precision 0.838582 [0.844633,0.831683] precision 0.866005 [0.870056,0.861386] precision 0.847745 [0.855114,0.839344] precision 0.834222 [0.847262,0.819355] precision 0.834338 [0.849275,0.817308] precision 0.820718 [0.837209,0.801917] precision 0.828137 [0.841499,0.812903] precision 0.841629 [0.847458,0.834983] precision 0.838329 [0.862687,0.810559] precision 0.860039 [0.87069,0.847896] precision 0.841705 [0.851429,0.830619] precision 0.872211 [0.882184,0.860841] precision 0.836937 [0.862275,0.80805] precision 0.861439 [0.866856,0.855263] precision 0.826484 [0.837143,0.814332] precision 0.840915 [0.861357,0.81761] precision 0.869102 [0.877143,0.859935] precision 0.86266 [0.886567,0.835404] precision 0.8523 [0.858357,0.845395] precision 0.842009 [0.857558,0.824281] precision 0.846683 [0.839237,0.855172] precision 0.818212 [0.840237,0.793103] precision 0.855341 [0.859155,0.850993] precision 0.844924 [0.858382,0.829582] precision 0.834222 [0.847262,0.819355] precision 0.862201 [0.882006,0.839623] precision 0.835048 [0.857567,0.809375] precision 0.841629 [0.847458,0.834983] precision 0.860039 [0.87069,0.847896] precision 0.83584 [0.864048,0.803681] precision 0.849348 [0.859599,0.837662] precision 0.841705 [0.851429,0.830619] precision 0.840102 [0.84507,0.834437] precision 0.856055 [0.845528,0.868056] predictive_accuracy 0.854103 predictive_accuracy 0.835866 predictive_accuracy 0.864742 predictive_accuracy 0.838906 predictive_accuracy 0.841945 predictive_accuracy 0.867781 predictive_accuracy 0.870821 predictive_accuracy 0.846505 predictive_accuracy 0.844985 predictive_accuracy 0.846505 predictive_accuracy 0.840426 predictive_accuracy 0.849544 predictive_accuracy 0.843465 predictive_accuracy 0.823708 predictive_accuracy 0.870821 predictive_accuracy 0.841945 predictive_accuracy 0.860182 predictive_accuracy 0.831307 predictive_accuracy 0.861702 predictive_accuracy 0.860182 predictive_accuracy 0.87234 predictive_accuracy 0.846505 predictive_accuracy 0.831307 predictive_accuracy 0.87538 predictive_accuracy 0.864742 predictive_accuracy 0.819149 predictive_accuracy 0.854103 predictive_accuracy 0.861702 predictive_accuracy 0.854103 predictive_accuracy 0.855623 predictive_accuracy 0.857143 predictive_accuracy 0.855623 predictive_accuracy 0.848024 predictive_accuracy 0.857143 predictive_accuracy 0.841945 predictive_accuracy 0.829787 predictive_accuracy 0.849544 predictive_accuracy 0.844985 predictive_accuracy 0.851064 predictive_accuracy 0.855623 predictive_accuracy 0.844749 predictive_accuracy 0.820396 predictive_accuracy 0.846271 predictive_accuracy 0.849315 predictive_accuracy 0.838661 predictive_accuracy 0.849315 predictive_accuracy 0.847793 predictive_accuracy 0.844749 predictive_accuracy 0.852359 predictive_accuracy 0.846271 predictive_accuracy 0.850837 predictive_accuracy 0.872146 predictive_accuracy 0.85997 predictive_accuracy 0.856925 predictive_accuracy 0.834094 predictive_accuracy 0.864536 predictive_accuracy 0.808219 predictive_accuracy 0.878234 predictive_accuracy 0.849315 predictive_accuracy 0.835616 predictive_accuracy 0.846271 predictive_accuracy 0.85997 predictive_accuracy 0.858447 predictive_accuracy 0.844749 predictive_accuracy 0.844749 predictive_accuracy 0.834094 predictive_accuracy 0.838661 predictive_accuracy 0.866058 predictive_accuracy 0.847793 predictive_accuracy 0.834094 predictive_accuracy 0.834094 predictive_accuracy 0.820396 predictive_accuracy 0.828006 predictive_accuracy 0.841705 predictive_accuracy 0.837139 predictive_accuracy 0.85997 predictive_accuracy 0.841705 predictive_accuracy 0.872146 predictive_accuracy 0.835616 predictive_accuracy 0.861492 predictive_accuracy 0.826484 predictive_accuracy 0.840183 predictive_accuracy 0.869102 predictive_accuracy 0.861492 predictive_accuracy 0.852359 predictive_accuracy 0.841705 predictive_accuracy 0.846271 predictive_accuracy 0.817352 predictive_accuracy 0.855403 predictive_accuracy 0.844749 predictive_accuracy 0.834094 predictive_accuracy 0.861492 predictive_accuracy 0.834094 predictive_accuracy 0.841705 predictive_accuracy 0.85997 predictive_accuracy 0.834094 predictive_accuracy 0.849315 predictive_accuracy 0.841705 predictive_accuracy 0.840183 predictive_accuracy 0.855403 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 recall 0.854103 [0.843305,0.86645] recall 0.835866 [0.86,0.808442] recall 0.864742 [0.874644,0.85342] recall 0.838906 [0.828571,0.850649] recall 0.841945 [0.82906,0.856678] recall 0.867781 [0.883191,0.850163] recall 0.870821 [0.865714,0.876623] recall 0.846505 [0.851852,0.840391] recall 0.844985 [0.837607,0.85342] recall 0.846505 [0.840456,0.85342] recall 0.840426 [0.84,0.840909] recall 0.849544 [0.851429,0.847403] recall 0.843465 [0.862857,0.821429] recall 0.823708 [0.82,0.827922] recall 0.870821 [0.865714,0.876623] recall 0.841945 [0.857143,0.824675] recall 0.860182 [0.862857,0.857143] recall 0.831307 [0.822857,0.840909] recall 0.861702 [0.845714,0.87987] recall 0.860182 [0.845714,0.876623] recall 0.87234 [0.865714,0.87987] recall 0.846505 [0.871429,0.818182] recall 0.831307 [0.868571,0.788961] recall 0.87538 [0.885714,0.863636] recall 0.864742 [0.865714,0.863636] recall 0.819149 [0.851429,0.782468] recall 0.854103 [0.854286,0.853896] recall 0.861702 [0.868571,0.853896] recall 0.854103 [0.874286,0.831169] recall 0.855623 [0.874286,0.834416] recall 0.857143 [0.857143,0.857143] recall 0.855623 [0.85755,0.85342] recall 0.848024 [0.834286,0.863636] recall 0.857143 [0.851852,0.863192] recall 0.841945 [0.854286,0.827922] recall 0.829787 [0.831429,0.827922] recall 0.849544 [0.851852,0.846906] recall 0.844985 [0.865714,0.821429] recall 0.851064 [0.851429,0.850649] recall 0.855623 [0.86,0.850649] recall 0.844749 [0.851429,0.837134] recall 0.820396 [0.817143,0.824104] recall 0.846271 [0.828571,0.86645] recall 0.849315 [0.862857,0.833876] recall 0.838661 [0.854286,0.820847] recall 0.849315 [0.857143,0.840391] recall 0.847793 [0.86,0.833876] recall 0.844749 [0.848571,0.840391] recall 0.852359 [0.868571,0.833876] recall 0.846271 [0.842857,0.850163] recall 0.850837 [0.868571,0.830619] recall 0.872146 [0.882857,0.859935] recall 0.85997 [0.885714,0.830619] recall 0.856925 [0.86,0.85342] recall 0.834094 [0.831429,0.837134] recall 0.864536 [0.862857,0.86645] recall 0.808219 [0.785714,0.833876] recall 0.878234 [0.868571,0.889251] recall 0.849315 [0.871429,0.824104] recall 0.835616 [0.831429,0.840391] recall 0.846271 [0.851429,0.840391] recall 0.85997 [0.854286,0.86645] recall 0.858447 [0.871429,0.843648] recall 0.844749 [0.851429,0.837134] recall 0.844749 [0.865714,0.820847] recall 0.834094 [0.834286,0.833876] recall 0.838661 [0.854286,0.820847] recall 0.866058 [0.88,0.850163] recall 0.847793 [0.86,0.833876] recall 0.834094 [0.84,0.827362] recall 0.834094 [0.837143,0.830619] recall 0.820396 [0.822857,0.81759] recall 0.828006 [0.834286,0.820847] recall 0.841705 [0.857143,0.824104] recall 0.837139 [0.825714,0.850163] recall 0.85997 [0.865714,0.85342] recall 0.841705 [0.851429,0.830619] recall 0.872146 [0.877143,0.86645] recall 0.835616 [0.822857,0.850163] recall 0.861492 [0.874286,0.846906] recall 0.826484 [0.837143,0.814332] recall 0.840183 [0.834286,0.846906] recall 0.869102 [0.877143,0.859935] recall 0.861492 [0.848571,0.876221] recall 0.852359 [0.865714,0.837134] recall 0.841705 [0.842857,0.840391] recall 0.846271 [0.88,0.807818] recall 0.817352 [0.811429,0.824104] recall 0.855403 [0.871429,0.837134] recall 0.844749 [0.848571,0.840391] recall 0.834094 [0.84,0.827362] recall 0.861492 [0.854286,0.869707] recall 0.834094 [0.825714,0.843648] recall 0.841705 [0.857143,0.824104] recall 0.85997 [0.865714,0.85342] recall 0.834094 [0.817143,0.85342] recall 0.849315 [0.857143,0.840391] recall 0.841705 [0.851429,0.830619] recall 0.840183 [0.857143,0.820847] recall 0.855403 [0.891429,0.814332] relative_absolute_error 0.369323 relative_absolute_error 0.402051 relative_absolute_error 0.346575 relative_absolute_error 0.390859 relative_absolute_error 0.393967 relative_absolute_error 0.339182 relative_absolute_error 0.340894 relative_absolute_error 0.362063 relative_absolute_error 0.395716 relative_absolute_error 0.399725 relative_absolute_error 0.394602 relative_absolute_error 0.381209 relative_absolute_error 0.391674 relative_absolute_error 0.394084 relative_absolute_error 0.344934 relative_absolute_error 0.394717 relative_absolute_error 0.363499 relative_absolute_error 0.415702 relative_absolute_error 0.358141 relative_absolute_error 0.351858 relative_absolute_error 0.344932 relative_absolute_error 0.387239 relative_absolute_error 0.395299 relative_absolute_error 0.356161 relative_absolute_error 0.366722 relative_absolute_error 0.402231 relative_absolute_error 0.366132 relative_absolute_error 0.359456 relative_absolute_error 0.37726 relative_absolute_error 0.37304 relative_absolute_error 0.380378 relative_absolute_error 0.377833 relative_absolute_error 0.385827 relative_absolute_error 0.368496 relative_absolute_error 0.383436 relative_absolute_error 0.392506 relative_absolute_error 0.374451 relative_absolute_error 0.390639 relative_absolute_error 0.363907 relative_absolute_error 0.378595 relative_absolute_error 0.384401 relative_absolute_error 0.420972 relative_absolute_error 0.374183 relative_absolute_error 0.396317 relative_absolute_error 0.397711 relative_absolute_error 0.378922 relative_absolute_error 0.375252 relative_absolute_error 0.38215 relative_absolute_error 0.378468 relative_absolute_error 0.37853 relative_absolute_error 0.380363 relative_absolute_error 0.352815 relative_absolute_error 0.355078 relative_absolute_error 0.367725 relative_absolute_error 0.401607 relative_absolute_error 0.356682 relative_absolute_error 0.448338 relative_absolute_error 0.356462 relative_absolute_error 0.383766 relative_absolute_error 0.385606 relative_absolute_error 0.351734 relative_absolute_error 0.35717 relative_absolute_error 0.36338 relative_absolute_error 0.388635 relative_absolute_error 0.376073 relative_absolute_error 0.406101 relative_absolute_error 0.393258 relative_absolute_error 0.363418 relative_absolute_error 0.388349 relative_absolute_error 0.408148 relative_absolute_error 0.407898 relative_absolute_error 0.403727 relative_absolute_error 0.40343 relative_absolute_error 0.401263 relative_absolute_error 0.404333 relative_absolute_error 0.369513 relative_absolute_error 0.389509 relative_absolute_error 0.34748 relative_absolute_error 0.408588 relative_absolute_error 0.368714 relative_absolute_error 0.383066 relative_absolute_error 0.374651 relative_absolute_error 0.367022 relative_absolute_error 0.356002 relative_absolute_error 0.367319 relative_absolute_error 0.383278 relative_absolute_error 0.383498 relative_absolute_error 0.43707 relative_absolute_error 0.372172 relative_absolute_error 0.389309 relative_absolute_error 0.420103 relative_absolute_error 0.351211 relative_absolute_error 0.407954 relative_absolute_error 0.37991 relative_absolute_error 0.378616 relative_absolute_error 0.386669 relative_absolute_error 0.377317 relative_absolute_error 0.387922 relative_absolute_error 0.394325 relative_absolute_error 0.383433 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_squared_error 0.319945 root_mean_squared_error 0.338004 root_mean_squared_error 0.304537 root_mean_squared_error 0.33247 root_mean_squared_error 0.34375 root_mean_squared_error 0.308184 root_mean_squared_error 0.302224 root_mean_squared_error 0.317264 root_mean_squared_error 0.334309 root_mean_squared_error 0.338848 root_mean_squared_error 0.337843 root_mean_squared_error 0.32974 root_mean_squared_error 0.331135 root_mean_squared_error 0.344848 root_mean_squared_error 0.305947 root_mean_squared_error 0.334309 root_mean_squared_error 0.325549 root_mean_squared_error 0.345564 root_mean_squared_error 0.316703 root_mean_squared_error 0.321147 root_mean_squared_error 0.299608 root_mean_squared_error 0.334053 root_mean_squared_error 0.346341 root_mean_squared_error 0.31411 root_mean_squared_error 0.32129 root_mean_squared_error 0.346024 root_mean_squared_error 0.323622 root_mean_squared_error 0.315782 root_mean_squared_error 0.324613 root_mean_squared_error 0.330008 root_mean_squared_error 0.32488 root_mean_squared_error 0.324518 root_mean_squared_error 0.330426 root_mean_squared_error 0.320142 root_mean_squared_error 0.330037 root_mean_squared_error 0.339974 root_mean_squared_error 0.319065 root_mean_squared_error 0.333067 root_mean_squared_error 0.316963 root_mean_squared_error 0.325568 root_mean_squared_error 0.332557 root_mean_squared_error 0.358509 root_mean_squared_error 0.322933 root_mean_squared_error 0.338753 root_mean_squared_error 0.330932 root_mean_squared_error 0.323403 root_mean_squared_error 0.324638 root_mean_squared_error 0.337473 root_mean_squared_error 0.32725 root_mean_squared_error 0.329557 root_mean_squared_error 0.325185 root_mean_squared_error 0.308201 root_mean_squared_error 0.313935 root_mean_squared_error 0.323543 root_mean_squared_error 0.338199 root_mean_squared_error 0.307263 root_mean_squared_error 0.372439 root_mean_squared_error 0.314839 root_mean_squared_error 0.330013 root_mean_squared_error 0.32998 root_mean_squared_error 0.314514 root_mean_squared_error 0.315551 root_mean_squared_error 0.319139 root_mean_squared_error 0.331733 root_mean_squared_error 0.329811 root_mean_squared_error 0.344621 root_mean_squared_error 0.335154 root_mean_squared_error 0.313039 root_mean_squared_error 0.340149 root_mean_squared_error 0.340845 root_mean_squared_error 0.349167 root_mean_squared_error 0.342927 root_mean_squared_error 0.341558 root_mean_squared_error 0.336711 root_mean_squared_error 0.346361 root_mean_squared_error 0.320102 root_mean_squared_error 0.326279 root_mean_squared_error 0.309085 root_mean_squared_error 0.346965 root_mean_squared_error 0.323479 root_mean_squared_error 0.336774 root_mean_squared_error 0.325409 root_mean_squared_error 0.321869 root_mean_squared_error 0.312725 root_mean_squared_error 0.324888 root_mean_squared_error 0.333462 root_mean_squared_error 0.334798 root_mean_squared_error 0.364726 root_mean_squared_error 0.322151 root_mean_squared_error 0.341363 root_mean_squared_error 0.352582 root_mean_squared_error 0.315953 root_mean_squared_error 0.350064 root_mean_squared_error 0.329173 root_mean_squared_error 0.326614 root_mean_squared_error 0.335275 root_mean_squared_error 0.327852 root_mean_squared_error 0.332711 root_mean_squared_error 0.336948 root_mean_squared_error 0.328254 root_relative_squared_error 0.641325 root_relative_squared_error 0.677388 root_relative_squared_error 0.610439 root_relative_squared_error 0.666299 root_relative_squared_error 0.68904 root_relative_squared_error 0.61775 root_relative_squared_error 0.605682 root_relative_squared_error 0.63595 root_relative_squared_error 0.670117 root_relative_squared_error 0.679216 root_relative_squared_error 0.677066 root_relative_squared_error 0.660828 root_relative_squared_error 0.663622 root_relative_squared_error 0.691105 root_relative_squared_error 0.613144 root_relative_squared_error 0.669983 root_relative_squared_error 0.652429 root_relative_squared_error 0.692539 root_relative_squared_error 0.634699 root_relative_squared_error 0.643605 root_relative_squared_error 0.600441 root_relative_squared_error 0.66947 root_relative_squared_error 0.694097 root_relative_squared_error 0.629502 root_relative_squared_error 0.643893 root_relative_squared_error 0.693463 root_relative_squared_error 0.648565 root_relative_squared_error 0.632853 root_relative_squared_error 0.650551 root_relative_squared_error 0.661364 root_relative_squared_error 0.651088 root_relative_squared_error 0.650492 root_relative_squared_error 0.662201 root_relative_squared_error 0.641719 root_relative_squared_error 0.661423 root_relative_squared_error 0.681336 root_relative_squared_error 0.639561 root_relative_squared_error 0.667495 root_relative_squared_error 0.63522 root_relative_squared_error 0.652466 root_relative_squared_error 0.666543 root_relative_squared_error 0.718559 root_relative_squared_error 0.647254 root_relative_squared_error 0.678962 root_relative_squared_error 0.663287 root_relative_squared_error 0.648196 root_relative_squared_error 0.650672 root_relative_squared_error 0.676397 root_relative_squared_error 0.655907 root_relative_squared_error 0.66053 root_relative_squared_error 0.651767 root_relative_squared_error 0.617726 root_relative_squared_error 0.629219 root_relative_squared_error 0.648476 root_relative_squared_error 0.677851 root_relative_squared_error 0.615847 root_relative_squared_error 0.746478 root_relative_squared_error 0.63103 root_relative_squared_error 0.661443 root_relative_squared_error 0.661377 root_relative_squared_error 0.63038 root_relative_squared_error 0.632459 root_relative_squared_error 0.639649 root_relative_squared_error 0.664891 root_relative_squared_error 0.66104 root_relative_squared_error 0.690722 root_relative_squared_error 0.671748 root_relative_squared_error 0.627422 root_relative_squared_error 0.68176 root_relative_squared_error 0.683154 root_relative_squared_error 0.699835 root_relative_squared_error 0.687329 root_relative_squared_error 0.684583 root_relative_squared_error 0.674869 root_relative_squared_error 0.69421 root_relative_squared_error 0.641579 root_relative_squared_error 0.653961 root_relative_squared_error 0.619498 root_relative_squared_error 0.695421 root_relative_squared_error 0.648347 root_relative_squared_error 0.674995 root_relative_squared_error 0.652217 root_relative_squared_error 0.645121 root_relative_squared_error 0.626794 root_relative_squared_error 0.651171 root_relative_squared_error 0.668356 root_relative_squared_error 0.671034 root_relative_squared_error 0.73102 root_relative_squared_error 0.645687 root_relative_squared_error 0.684192 root_relative_squared_error 0.706678 root_relative_squared_error 0.633263 root_relative_squared_error 0.701633 root_relative_squared_error 0.65976 root_relative_squared_error 0.654631 root_relative_squared_error 0.671991 root_relative_squared_error 0.657113 root_relative_squared_error 0.666852 root_relative_squared_error 0.675345 root_relative_squared_error 0.657919 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 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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