440832 2 Joaquin Vanschoren 4417 Supervised Classification predictive_accuracy 1079 weka.RandomForest(5) 1849 weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 100 1079 K 0 1079 S 1 1079 num-slots 1 1079 weka weka_3.7.12 847 wind https://www.openml.org/data/download/53381/wind.arff -1 1543007 description https://api.openml.org/data/download/1543007/weka_generated_run7677769759803876918.xml -1 1543010 model_readable https://api.openml.org/data/download/1543010/WekaModel_weka.classifiers.trees.RandomForest1165388832992946991.model -1 1543009 model_serialized https://api.openml.org/data/download/1543009/WekaSerialized_weka.classifiers.trees.RandomForest6449236424310361580.model -1 1543008 predictions https://api.openml.org/data/download/1543008/weka_generated_predictions2288879883236240106.arff area_under_roc_curve 0.939659 [0.939659,0.939659] average_cost 0 f_measure 0.864643 [0.873967,0.854019] kappa 0.728005 kb_relative_information_score 40003.83209 mean_absolute_error 0.207763 mean_prior_absolute_error 0.497881 number_of_instances 65740 [35010,30730] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.864678 [0.867317,0.861671] predictive_accuracy 0.864725 prior_entropy 0.996942 recall 0.864725 [0.88072,0.846502] relative_absolute_error 0.417293 root_mean_prior_squared_error 0.498939 root_mean_squared_error 0.312714 root_relative_squared_error 0.626759 scimark_benchmark 945.622832 [551.974871083423, 1013.6533323510344, 483.449727694041, 912.7576668351037, 1766.2785639901995] total_cost 0 usercpu_time_millis 3230 usercpu_time_millis_testing 380 usercpu_time_millis_training 2850 area_under_roc_curve 0.944171 [0.944171,0.944171] area_under_roc_curve 0.939416 [0.939416,0.939416] area_under_roc_curve 0.948853 [0.948853,0.948853] area_under_roc_curve 0.936874 [0.936874,0.936874] area_under_roc_curve 0.930306 [0.930306,0.930306] area_under_roc_curve 0.945799 [0.945799,0.945799] area_under_roc_curve 0.950464 [0.950464,0.950464] area_under_roc_curve 0.949038 [0.949038,0.949038] area_under_roc_curve 0.942329 [0.942329,0.942329] area_under_roc_curve 0.933805 [0.933805,0.933805] area_under_roc_curve 0.931187 [0.931187,0.931187] area_under_roc_curve 0.947333 [0.947333,0.947333] area_under_roc_curve 0.931707 [0.931707,0.931707] area_under_roc_curve 0.938108 [0.938108,0.938108] area_under_roc_curve 0.955348 [0.955348,0.955348] area_under_roc_curve 0.937147 [0.937147,0.937147] area_under_roc_curve 0.945121 [0.945121,0.945121] area_under_roc_curve 0.925881 [0.925881,0.925881] area_under_roc_curve 0.943942 [0.943942,0.943942] area_under_roc_curve 0.944643 [0.944643,0.944643] area_under_roc_curve 0.959035 [0.959035,0.959035] area_under_roc_curve 0.940983 [0.940983,0.940983] area_under_roc_curve 0.929082 [0.929082,0.929082] area_under_roc_curve 0.948743 [0.948743,0.948743] area_under_roc_curve 0.946577 [0.946577,0.946577] area_under_roc_curve 0.93513 [0.93513,0.93513] area_under_roc_curve 0.94225 [0.94225,0.94225] area_under_roc_curve 0.95506 [0.95506,0.95506] area_under_roc_curve 0.941109 [0.941109,0.941109] area_under_roc_curve 0.944133 [0.944133,0.944133] area_under_roc_curve 0.944833 [0.944833,0.944833] area_under_roc_curve 0.944904 [0.944904,0.944904] area_under_roc_curve 0.939954 [0.939954,0.939954] area_under_roc_curve 0.942268 [0.942268,0.942268] area_under_roc_curve 0.943896 [0.943896,0.943896] area_under_roc_curve 0.927491 [0.927491,0.927491] area_under_roc_curve 0.944491 [0.944491,0.944491] area_under_roc_curve 0.93525 [0.93525,0.93525] area_under_roc_curve 0.944995 [0.944995,0.944995] area_under_roc_curve 0.942032 [0.942032,0.942032] area_under_roc_curve 0.936603 [0.936603,0.936603] area_under_roc_curve 0.915184 [0.915184,0.915184] area_under_roc_curve 0.946557 [0.946557,0.946557] area_under_roc_curve 0.925584 [0.925584,0.925584] area_under_roc_curve 0.936543 [0.936543,0.936543] area_under_roc_curve 0.942387 [0.942387,0.942387] area_under_roc_curve 0.938683 [0.938683,0.938683] area_under_roc_curve 0.940172 [0.940172,0.940172] area_under_roc_curve 0.938725 [0.938725,0.938725] area_under_roc_curve 0.944048 [0.944048,0.944048] area_under_roc_curve 0.943872 [0.943872,0.943872] area_under_roc_curve 0.945956 [0.945956,0.945956] area_under_roc_curve 0.950047 [0.950047,0.950047] area_under_roc_curve 0.94 [0.94,0.94] area_under_roc_curve 0.933792 [0.933792,0.933792] area_under_roc_curve 0.947752 [0.947752,0.947752] area_under_roc_curve 0.913178 [0.913178,0.913178] area_under_roc_curve 0.948748 [0.948748,0.948748] area_under_roc_curve 0.931954 [0.931954,0.931954] area_under_roc_curve 0.942941 [0.942941,0.942941] area_under_roc_curve 0.953206 [0.953206,0.953206] area_under_roc_curve 0.946975 [0.946975,0.946975] area_under_roc_curve 0.945617 [0.945617,0.945617] area_under_roc_curve 0.941089 [0.941089,0.941089] area_under_roc_curve 0.945877 [0.945877,0.945877] area_under_roc_curve 0.925384 [0.925384,0.925384] area_under_roc_curve 0.935123 [0.935123,0.935123] area_under_roc_curve 0.951968 [0.951968,0.951968] area_under_roc_curve 0.936128 [0.936128,0.936128] area_under_roc_curve 0.931447 [0.931447,0.931447] area_under_roc_curve 0.923951 [0.923951,0.923951] area_under_roc_curve 0.936715 [0.936715,0.936715] area_under_roc_curve 0.924146 [0.924146,0.924146] area_under_roc_curve 0.936412 [0.936412,0.936412] area_under_roc_curve 0.932383 [0.932383,0.932383] area_under_roc_curve 0.948804 [0.948804,0.948804] area_under_roc_curve 0.943169 [0.943169,0.943169] area_under_roc_curve 0.946301 [0.946301,0.946301] area_under_roc_curve 0.933802 [0.933802,0.933802] area_under_roc_curve 0.938557 [0.938557,0.938557] area_under_roc_curve 0.936785 [0.936785,0.936785] area_under_roc_curve 0.944835 [0.944835,0.944835] area_under_roc_curve 0.944858 [0.944858,0.944858] area_under_roc_curve 0.951215 [0.951215,0.951215] area_under_roc_curve 0.941531 [0.941531,0.941531] area_under_roc_curve 0.938934 [0.938934,0.938934] area_under_roc_curve 0.933336 [0.933336,0.933336] area_under_roc_curve 0.912178 [0.912178,0.912178] area_under_roc_curve 0.941717 [0.941717,0.941717] area_under_roc_curve 0.923504 [0.923504,0.923504] area_under_roc_curve 0.925426 [0.925426,0.925426] area_under_roc_curve 0.943727 [0.943727,0.943727] area_under_roc_curve 0.929255 [0.929255,0.929255] area_under_roc_curve 0.93799 [0.93799,0.93799] area_under_roc_curve 0.938776 [0.938776,0.938776] area_under_roc_curve 0.944881 [0.944881,0.944881] area_under_roc_curve 0.945872 [0.945872,0.945872] area_under_roc_curve 0.93496 [0.93496,0.93496] area_under_roc_curve 0.940991 [0.940991,0.940991] area_under_roc_curve 0.944304 [0.944304,0.944304] 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 0.873917 [0.880918,0.865913] f_measure 0.859723 [0.872576,0.845118] f_measure 0.884353 [0.893258,0.874172] f_measure 0.852384 [0.863572,0.839669] f_measure 0.852626 [0.86123,0.842788] f_measure 0.876887 [0.88478,0.867863] f_measure 0.884324 [0.893258,0.874172] f_measure 0.866052 [0.876751,0.853821] f_measure 0.86021 [0.868571,0.850649] f_measure 0.857171 [0.865714,0.847403] f_measure 0.851158 [0.858382,0.842949] f_measure 0.875229 [0.884507,0.864686] f_measure 0.851033 [0.860399,0.840391] f_measure 0.855544 [0.865248,0.844517] f_measure 0.881243 [0.890756,0.870432] f_measure 0.855578 [0.864865,0.845024] f_measure 0.876733 [0.886076,0.866116] f_measure 0.840441 [0.849785,0.829822] f_measure 0.880034 [0.885341,0.874003] f_measure 0.88301 [0.889527,0.875606] f_measure 0.901258 [0.906475,0.89533] f_measure 0.856834 [0.868715,0.843333] f_measure 0.855383 [0.86676,0.842454] f_measure 0.884421 [0.892351,0.87541] f_measure 0.876733 [0.886076,0.866116] f_measure 0.85229 [0.864336,0.838602] f_measure 0.860052 [0.870056,0.848684] f_measure 0.87365 [0.88359,0.862355] f_measure 0.853624 [0.867036,0.838384] f_measure 0.865973 [0.877095,0.853333] f_measure 0.879951 [0.886981,0.871961] f_measure 0.876912 [0.884451,0.868293] f_measure 0.864835 [0.871201,0.8576] f_measure 0.861587 [0.87165,0.850082] f_measure 0.856882 [0.868347,0.843854] f_measure 0.841945 [0.851429,0.831169] f_measure 0.870834 [0.878745,0.861789] f_measure 0.852537 [0.86202,0.841762] f_measure 0.87075 [0.879433,0.860884] f_measure 0.869301 [0.877143,0.86039] f_measure 0.850398 [0.863889,0.835017] f_measure 0.838719 [0.847701,0.828479] f_measure 0.873628 [0.881935,0.864157] f_measure 0.856789 [0.867232,0.844884] f_measure 0.865892 [0.876056,0.854305] f_measure 0.87979 [0.886657,0.871961] f_measure 0.87353 [0.882934,0.86281] f_measure 0.882735 [0.89078,0.873563] f_measure 0.856827 [0.866856,0.845395] f_measure 0.869075 [0.877493,0.859477] f_measure 0.861256 [0.87237,0.848586] f_measure 0.881227 [0.889205,0.872131] f_measure 0.870445 [0.88045,0.859038] f_measure 0.872119 [0.880342,0.862745] f_measure 0.858487 [0.866571,0.849271] f_measure 0.87209 [0.880682,0.862295] f_measure 0.832681 [0.84104,0.823151] f_measure 0.890468 [0.896254,0.883871] f_measure 0.856558 [0.869081,0.842282] f_measure 0.855488 [0.862915,0.847021] f_measure 0.870445 [0.88045,0.859038] f_measure 0.866083 [0.873926,0.857143] f_measure 0.8767 [0.884451,0.867863] f_measure 0.862662 [0.874652,0.848993] f_measure 0.87353 [0.882934,0.86281] f_measure 0.841554 [0.853107,0.828383] f_measure 0.847689 [0.858357,0.835526] f_measure 0.882705 [0.891089,0.873147] f_measure 0.855285 [0.865629,0.843493] f_measure 0.855323 [0.865248,0.844007] f_measure 0.849267 [0.859175,0.837971] f_measure 0.862985 [0.871795,0.852941] f_measure 0.847848 [0.856322,0.838188] f_measure 0.858332 [0.868458,0.846787] f_measure 0.861605 [0.867925,0.8544] f_measure 0.8689 [0.879213,0.857143] f_measure 0.870404 [0.880785,0.858569] f_measure 0.872119 [0.880342,0.862745] f_measure 0.866127 [0.873199,0.858065] f_measure 0.865852 [0.876404,0.853821] f_measure 0.858251 [0.869198,0.845771] f_measure 0.863063 [0.87069,0.854369] f_measure 0.881017 [0.891061,0.869565] f_measure 0.878328 [0.884058,0.871795] f_measure 0.876325 [0.887656,0.863406] f_measure 0.86894 [0.878873,0.857616] f_measure 0.853392 [0.867036,0.837838] f_measure 0.823363 [0.835227,0.809836] f_measure 0.873454 [0.88359,0.861897] f_measure 0.841509 [0.853521,0.827815] f_measure 0.853742 [0.864407,0.841584] f_measure 0.887408 [0.893678,0.880259] f_measure 0.853851 [0.863248,0.843137] f_measure 0.865852 [0.876404,0.853821] f_measure 0.866083 [0.873926,0.857143] f_measure 0.876839 [0.881406,0.871632] f_measure 0.855357 [0.864865,0.844517] f_measure 0.86121 [0.872727,0.84808] f_measure 0.862712 [0.874302,0.849498] f_measure 0.86411 [0.87656,0.849916] kappa 0.746846 kappa 0.718012 kappa 0.767485 kappa 0.703325 kappa 0.704024 kappa 0.752643 kappa 0.767508 kappa 0.730662 kappa 0.719223 kappa 0.71312 kappa 0.701374 kappa 0.749252 kappa 0.700793 kappa 0.709782 kappa 0.761297 kappa 0.709895 kappa 0.752261 kappa 0.679608 kappa 0.759412 kappa 0.765137 kappa 0.801816 kappa 0.71222 kappa 0.709329 kappa 0.767781 kappa 0.752261 kappa 0.703093 kappa 0.718783 kappa 0.746045 kappa 0.705752 kappa 0.730589 kappa 0.758943 kappa 0.752744 kappa 0.728852 kappa 0.721764 kappa 0.712332 kappa 0.682597 kappa 0.740534 kappa 0.703788 kappa 0.740331 kappa 0.737532 kappa 0.699187 kappa 0.676192 kappa 0.746097 kappa 0.712159 kappa 0.730424 kappa 0.758623 kappa 0.745792 kappa 0.764357 kappa 0.712274 kappa 0.736972 kappa 0.721066 kappa 0.761345 kappa 0.739562 kappa 0.743089 kappa 0.715848 kappa 0.742986 kappa 0.664242 kappa 0.780143 kappa 0.711581 kappa 0.709969 kappa 0.739562 kappa 0.731071 kappa 0.752314 kappa 0.723854 kappa 0.745792 kappa 0.681538 kappa 0.693909 kappa 0.764263 kappa 0.709155 kappa 0.709272 kappa 0.697152 kappa 0.724739 kappa 0.694521 kappa 0.715278 kappa 0.722403 kappa 0.736445 kappa 0.739457 kappa 0.743089 kappa 0.731286 kappa 0.730316 kappa 0.71505 kappa 0.725069 kappa 0.76077 kappa 0.75591 kappa 0.751319 kappa 0.736551 kappa 0.705208 kappa 0.645077 kappa 0.745588 kappa 0.68141 kappa 0.706035 kappa 0.773945 kappa 0.706388 kappa 0.730316 kappa 0.731071 kappa 0.753203 kappa 0.709388 kappa 0.720954 kappa 0.723965 kappa 0.726758 kb_relative_information_score 404.274836 kb_relative_information_score 392.207403 kb_relative_information_score 415.70498 kb_relative_information_score 390.90574 kb_relative_information_score 391.4763 kb_relative_information_score 411.703436 kb_relative_information_score 418.998474 kb_relative_information_score 412.453431 kb_relative_information_score 393.396382 kb_relative_information_score 389.402847 kb_relative_information_score 383.906737 kb_relative_information_score 405.811075 kb_relative_information_score 390.450605 kb_relative_information_score 399.738767 kb_relative_information_score 425.351259 kb_relative_information_score 391.485654 kb_relative_information_score 418.256785 kb_relative_information_score 376.535433 kb_relative_information_score 415.133223 kb_relative_information_score 419.114044 kb_relative_information_score 430.635828 kb_relative_information_score 396.961164 kb_relative_information_score 393.536215 kb_relative_information_score 420.352648 kb_relative_information_score 413.114346 kb_relative_information_score 393.433783 kb_relative_information_score 411.252278 kb_relative_information_score 418.510073 kb_relative_information_score 399.575819 kb_relative_information_score 407.346987 kb_relative_information_score 399.04537 kb_relative_information_score 409.714814 kb_relative_information_score 395.160239 kb_relative_information_score 403.184721 kb_relative_information_score 399.542728 kb_relative_information_score 386.204614 kb_relative_information_score 402.461435 kb_relative_information_score 389.893248 kb_relative_information_score 406.810453 kb_relative_information_score 403.9167 kb_relative_information_score 398.322391 kb_relative_information_score 371.04752 kb_relative_information_score 405.625262 kb_relative_information_score 383.552703 kb_relative_information_score 383.647623 kb_relative_information_score 404.346808 kb_relative_information_score 399.299679 kb_relative_information_score 412.272314 kb_relative_information_score 398.036538 kb_relative_information_score 404.88538 kb_relative_information_score 402.052413 kb_relative_information_score 411.570644 kb_relative_information_score 414.165796 kb_relative_information_score 404.515453 kb_relative_information_score 385.967243 kb_relative_information_score 413.961961 kb_relative_information_score 359.859824 kb_relative_information_score 415.012402 kb_relative_information_score 390.071118 kb_relative_information_score 397.198387 kb_relative_information_score 416.280549 kb_relative_information_score 408.768572 kb_relative_information_score 410.167256 kb_relative_information_score 398.430141 kb_relative_information_score 406.649995 kb_relative_information_score 379.972843 kb_relative_information_score 389.341771 kb_relative_information_score 413.645035 kb_relative_information_score 398.316653 kb_relative_information_score 380.715477 kb_relative_information_score 380.133552 kb_relative_information_score 391.171367 kb_relative_information_score 377.262273 kb_relative_information_score 389.305686 kb_relative_information_score 390.679381 kb_relative_information_score 414.99422 kb_relative_information_score 400.785869 kb_relative_information_score 413.307278 kb_relative_information_score 388.194384 kb_relative_information_score 398.741737 kb_relative_information_score 403.46089 kb_relative_information_score 403.972003 kb_relative_information_score 413.239054 kb_relative_information_score 411.952665 kb_relative_information_score 412.981068 kb_relative_information_score 401.655771 kb_relative_information_score 391.411478 kb_relative_information_score 359.899726 kb_relative_information_score 404.078462 kb_relative_information_score 385.452134 kb_relative_information_score 382.591681 kb_relative_information_score 416.509719 kb_relative_information_score 390.179418 kb_relative_information_score 396.462268 kb_relative_information_score 394.113248 kb_relative_information_score 403.908676 kb_relative_information_score 404.353413 kb_relative_information_score 396.162929 kb_relative_information_score 400.649155 kb_relative_information_score 401.561958 mean_absolute_error 0.205669 mean_absolute_error 0.214362 mean_absolute_error 0.196839 mean_absolute_error 0.214726 mean_absolute_error 0.213404 mean_absolute_error 0.199696 mean_absolute_error 0.194681 mean_absolute_error 0.198191 mean_absolute_error 0.213313 mean_absolute_error 0.215881 mean_absolute_error 0.219696 mean_absolute_error 0.204103 mean_absolute_error 0.214863 mean_absolute_error 0.206839 mean_absolute_error 0.18965 mean_absolute_error 0.214863 mean_absolute_error 0.194073 mean_absolute_error 0.224802 mean_absolute_error 0.197249 mean_absolute_error 0.19348 mean_absolute_error 0.187128 mean_absolute_error 0.210152 mean_absolute_error 0.212036 mean_absolute_error 0.193678 mean_absolute_error 0.197599 mean_absolute_error 0.212021 mean_absolute_error 0.198526 mean_absolute_error 0.194559 mean_absolute_error 0.207234 mean_absolute_error 0.201991 mean_absolute_error 0.211003 mean_absolute_error 0.201641 mean_absolute_error 0.212918 mean_absolute_error 0.205593 mean_absolute_error 0.2081 mean_absolute_error 0.217204 mean_absolute_error 0.207295 mean_absolute_error 0.215653 mean_absolute_error 0.202948 mean_absolute_error 0.206322 mean_absolute_error 0.207367 mean_absolute_error 0.228508 mean_absolute_error 0.203227 mean_absolute_error 0.220365 mean_absolute_error 0.220746 mean_absolute_error 0.204901 mean_absolute_error 0.209482 mean_absolute_error 0.199041 mean_absolute_error 0.208524 mean_absolute_error 0.203912 mean_absolute_error 0.206149 mean_absolute_error 0.200061 mean_absolute_error 0.196545 mean_absolute_error 0.203805 mean_absolute_error 0.217656 mean_absolute_error 0.196545 mean_absolute_error 0.236027 mean_absolute_error 0.198219 mean_absolute_error 0.215129 mean_absolute_error 0.209619 mean_absolute_error 0.195358 mean_absolute_error 0.200213 mean_absolute_error 0.200472 mean_absolute_error 0.208767 mean_absolute_error 0.203546 mean_absolute_error 0.221842 mean_absolute_error 0.214581 mean_absolute_error 0.19825 mean_absolute_error 0.207991 mean_absolute_error 0.22204 mean_absolute_error 0.220989 mean_absolute_error 0.214353 mean_absolute_error 0.223607 mean_absolute_error 0.215936 mean_absolute_error 0.215723 mean_absolute_error 0.197291 mean_absolute_error 0.208478 mean_absolute_error 0.197778 mean_absolute_error 0.217169 mean_absolute_error 0.209132 mean_absolute_error 0.204475 mean_absolute_error 0.205023 mean_absolute_error 0.1979 mean_absolute_error 0.1993 mean_absolute_error 0.197123 mean_absolute_error 0.205753 mean_absolute_error 0.213486 mean_absolute_error 0.236332 mean_absolute_error 0.205419 mean_absolute_error 0.217108 mean_absolute_error 0.220441 mean_absolute_error 0.19481 mean_absolute_error 0.213805 mean_absolute_error 0.210381 mean_absolute_error 0.212709 mean_absolute_error 0.205175 mean_absolute_error 0.204368 mean_absolute_error 0.210533 mean_absolute_error 0.206256 mean_absolute_error 0.206651 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 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 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 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 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 0.874075 [0.887283,0.858974] precision 0.861214 [0.846774,0.877622] precision 0.88462 [0.880886,0.888889] precision 0.852664 [0.850416,0.855219] precision 0.852703 [0.864943,0.83871] precision 0.876878 [0.883523,0.869281] precision 0.884744 [0.878453,0.891892] precision 0.866424 [0.862259,0.871186] precision 0.860253 [0.87106,0.847896] precision 0.857214 [0.868195,0.84466] precision 0.851503 [0.868421,0.832278] precision 0.875486 [0.872222,0.879195] precision 0.851019 [0.857955,0.843137] precision 0.855565 [0.859155,0.851485] precision 0.881832 [0.873626,0.891156] precision 0.855568 [0.86119,0.84918] precision 0.87706 [0.872576,0.882155] precision 0.84046 [0.851003,0.828479] precision 0.880621 [0.899705,0.858934] precision 0.883079 [0.893372,0.871383] precision 0.901405 [0.913043,0.888179] precision 0.857549 [0.849727,0.866438] precision 0.855816 [0.85124,0.861017] precision 0.884492 [0.884831,0.884106] precision 0.87706 [0.872576,0.882155] precision 0.852891 [0.846575,0.860068] precision 0.860178 [0.860335,0.86] precision 0.874129 [0.867769,0.881356] precision 0.855081 [0.841398,0.870629] precision 0.866718 [0.857923,0.876712] precision 0.879966 [0.888252,0.87055] precision 0.876928 [0.885714,0.866883] precision 0.865251 [0.882698,0.845426] precision 0.861669 [0.863128,0.86] precision 0.857405 [0.851648,0.863946] precision 0.841945 [0.851429,0.831169] precision 0.87085 [0.88,0.86039] precision 0.852527 [0.858357,0.845902] precision 0.870781 [0.873239,0.867987] precision 0.869301 [0.877143,0.86039] precision 0.851555 [0.840541,0.864111] precision 0.83884 [0.852601,0.823151] precision 0.873624 [0.878187,0.868421] precision 0.856909 [0.857542,0.856187] precision 0.866131 [0.863889,0.868687] precision 0.87986 [0.89049,0.867742] precision 0.873723 [0.871866,0.875839] precision 0.882772 [0.884507,0.880795] precision 0.856873 [0.859551,0.853821] precision 0.869063 [0.875,0.862295] precision 0.861701 [0.856749,0.867347] precision 0.88124 [0.884181,0.877888] precision 0.870757 [0.867036,0.875] precision 0.872109 [0.877841,0.865574] precision 0.858562 [0.870317,0.845161] precision 0.872099 [0.875706,0.867987] precision 0.833037 [0.850877,0.812698] precision 0.890673 [0.90407,0.875399] precision 0.857492 [0.847826,0.868512] precision 0.855767 [0.87172,0.83758] precision 0.870757 [0.867036,0.875] precision 0.866125 [0.876437,0.854369] precision 0.876691 [0.883191,0.869281] precision 0.863621 [0.853261,0.875433] precision 0.873723 [0.871866,0.875839] precision 0.841655 [0.843575,0.839465] precision 0.847727 [0.851124,0.843854] precision 0.882811 [0.882353,0.883333] precision 0.855363 [0.857143,0.853333] precision 0.855341 [0.859155,0.850993] precision 0.849254 [0.855524,0.842105] precision 0.862972 [0.869318,0.855738] precision 0.847966 [0.861272,0.832797] precision 0.858413 [0.859944,0.856667] precision 0.862201 [0.882006,0.839623] precision 0.869283 [0.864641,0.874576] precision 0.870872 [0.865014,0.877551] precision 0.872109 [0.877841,0.865574] precision 0.866341 [0.880814,0.84984] precision 0.866228 [0.861878,0.871186] precision 0.85854 [0.855956,0.861486] precision 0.863177 [0.875723,0.848875] precision 0.881812 [0.871585,0.893471] precision 0.878828 [0.897059,0.858044] precision 0.877753 [0.862534,0.895105] precision 0.869184 [0.866667,0.872054] precision 0.854845 [0.841398,0.870175] precision 0.823347 [0.830508,0.815182] precision 0.873929 [0.867769,0.880952] precision 0.841706 [0.841667,0.841751] precision 0.853858 [0.854749,0.852843] precision 0.887514 [0.898844,0.874598] precision 0.853836 [0.860795,0.845902] precision 0.866228 [0.861878,0.871186] precision 0.866125 [0.876437,0.854369] precision 0.878139 [0.903904,0.848765] precision 0.855346 [0.86119,0.848684] precision 0.861836 [0.854795,0.869863] precision 0.863444 [0.855191,0.872852] precision 0.865474 [0.851752,0.881119] predictive_accuracy 0.87386 predictive_accuracy 0.860182 predictive_accuracy 0.884498 predictive_accuracy 0.852584 predictive_accuracy 0.852584 predictive_accuracy 0.8769 predictive_accuracy 0.884498 predictive_accuracy 0.866261 predictive_accuracy 0.860182 predictive_accuracy 0.857143 predictive_accuracy 0.851064 predictive_accuracy 0.87538 predictive_accuracy 0.851064 predictive_accuracy 0.855623 predictive_accuracy 0.881459 predictive_accuracy 0.855623 predictive_accuracy 0.8769 predictive_accuracy 0.840426 predictive_accuracy 0.879939 predictive_accuracy 0.882979 predictive_accuracy 0.901216 predictive_accuracy 0.857143 predictive_accuracy 0.855623 predictive_accuracy 0.884498 predictive_accuracy 0.8769 predictive_accuracy 0.852584 predictive_accuracy 0.860182 predictive_accuracy 0.87386 predictive_accuracy 0.854103 predictive_accuracy 0.866261 predictive_accuracy 0.879939 predictive_accuracy 0.8769 predictive_accuracy 0.864742 predictive_accuracy 0.861702 predictive_accuracy 0.857143 predictive_accuracy 0.841945 predictive_accuracy 0.870821 predictive_accuracy 0.852584 predictive_accuracy 0.870821 predictive_accuracy 0.869301 predictive_accuracy 0.850837 predictive_accuracy 0.838661 predictive_accuracy 0.873668 predictive_accuracy 0.856925 predictive_accuracy 0.866058 predictive_accuracy 0.879756 predictive_accuracy 0.873668 predictive_accuracy 0.882801 predictive_accuracy 0.856925 predictive_accuracy 0.869102 predictive_accuracy 0.861492 predictive_accuracy 0.881279 predictive_accuracy 0.870624 predictive_accuracy 0.872146 predictive_accuracy 0.858447 predictive_accuracy 0.872146 predictive_accuracy 0.832572 predictive_accuracy 0.890411 predictive_accuracy 0.856925 predictive_accuracy 0.855403 predictive_accuracy 0.870624 predictive_accuracy 0.866058 predictive_accuracy 0.876712 predictive_accuracy 0.863014 predictive_accuracy 0.873668 predictive_accuracy 0.841705 predictive_accuracy 0.847793 predictive_accuracy 0.882801 predictive_accuracy 0.855403 predictive_accuracy 0.855403 predictive_accuracy 0.849315 predictive_accuracy 0.863014 predictive_accuracy 0.847793 predictive_accuracy 0.858447 predictive_accuracy 0.861492 predictive_accuracy 0.869102 predictive_accuracy 0.870624 predictive_accuracy 0.872146 predictive_accuracy 0.866058 predictive_accuracy 0.866058 predictive_accuracy 0.858447 predictive_accuracy 0.863014 predictive_accuracy 0.881279 predictive_accuracy 0.878234 predictive_accuracy 0.876712 predictive_accuracy 0.869102 predictive_accuracy 0.853881 predictive_accuracy 0.82344 predictive_accuracy 0.873668 predictive_accuracy 0.841705 predictive_accuracy 0.853881 predictive_accuracy 0.887367 predictive_accuracy 0.853881 predictive_accuracy 0.866058 predictive_accuracy 0.866058 predictive_accuracy 0.876712 predictive_accuracy 0.855403 predictive_accuracy 0.861492 predictive_accuracy 0.863014 predictive_accuracy 0.864536 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 0.87386 [0.874644,0.872964] recall 0.860182 [0.9,0.814935] recall 0.884498 [0.905983,0.859935] recall 0.852584 [0.877143,0.824675] recall 0.852584 [0.85755,0.846906] recall 0.8769 [0.88604,0.86645] recall 0.884498 [0.908571,0.857143] recall 0.866261 [0.891738,0.837134] recall 0.860182 [0.866097,0.85342] recall 0.857143 [0.863248,0.850163] recall 0.851064 [0.848571,0.853896] recall 0.87538 [0.897143,0.850649] recall 0.851064 [0.862857,0.837662] recall 0.855623 [0.871429,0.837662] recall 0.881459 [0.908571,0.850649] recall 0.855623 [0.868571,0.840909] recall 0.8769 [0.9,0.850649] recall 0.840426 [0.848571,0.831169] recall 0.879939 [0.871429,0.88961] recall 0.882979 [0.885714,0.87987] recall 0.901216 [0.9,0.902597] recall 0.857143 [0.888571,0.821429] recall 0.855623 [0.882857,0.824675] recall 0.884498 [0.9,0.866883] recall 0.8769 [0.9,0.850649] recall 0.852584 [0.882857,0.818182] recall 0.860182 [0.88,0.837662] recall 0.87386 [0.9,0.844156] recall 0.854103 [0.894286,0.808442] recall 0.866261 [0.897143,0.831169] recall 0.879939 [0.885714,0.873377] recall 0.8769 [0.883191,0.869707] recall 0.864742 [0.86,0.87013] recall 0.861702 [0.880342,0.840391] recall 0.857143 [0.885714,0.824675] recall 0.841945 [0.851429,0.831169] recall 0.870821 [0.877493,0.863192] recall 0.852584 [0.865714,0.837662] recall 0.870821 [0.885714,0.853896] recall 0.869301 [0.877143,0.86039] recall 0.850837 [0.888571,0.807818] recall 0.838661 [0.842857,0.833876] recall 0.873668 [0.885714,0.859935] recall 0.856925 [0.877143,0.833876] recall 0.866058 [0.888571,0.840391] recall 0.879756 [0.882857,0.876221] recall 0.873668 [0.894286,0.850163] recall 0.882801 [0.897143,0.86645] recall 0.856925 [0.874286,0.837134] recall 0.869102 [0.88,0.856678] recall 0.861492 [0.888571,0.830619] recall 0.881279 [0.894286,0.86645] recall 0.870624 [0.894286,0.843648] recall 0.872146 [0.882857,0.859935] recall 0.858447 [0.862857,0.85342] recall 0.872146 [0.885714,0.856678] recall 0.832572 [0.831429,0.833876] recall 0.890411 [0.888571,0.892508] recall 0.856925 [0.891429,0.81759] recall 0.855403 [0.854286,0.856678] recall 0.870624 [0.894286,0.843648] recall 0.866058 [0.871429,0.859935] recall 0.876712 [0.885714,0.86645] recall 0.863014 [0.897143,0.824104] recall 0.873668 [0.894286,0.850163] recall 0.841705 [0.862857,0.81759] recall 0.847793 [0.865714,0.827362] recall 0.882801 [0.9,0.863192] recall 0.855403 [0.874286,0.833876] recall 0.855403 [0.871429,0.837134] recall 0.849315 [0.862857,0.833876] recall 0.863014 [0.874286,0.850163] recall 0.847793 [0.851429,0.843648] recall 0.858447 [0.877143,0.837134] recall 0.861492 [0.854286,0.869707] recall 0.869102 [0.894286,0.840391] recall 0.870624 [0.897143,0.840391] recall 0.872146 [0.882857,0.859935] recall 0.866058 [0.865714,0.86645] recall 0.866058 [0.891429,0.837134] recall 0.858447 [0.882857,0.830619] recall 0.863014 [0.865714,0.859935] recall 0.881279 [0.911429,0.846906] recall 0.878234 [0.871429,0.885993] recall 0.876712 [0.914286,0.833876] recall 0.869102 [0.891429,0.843648] recall 0.853881 [0.894286,0.807818] recall 0.82344 [0.84,0.80456] recall 0.873668 [0.9,0.843648] recall 0.841705 [0.865714,0.814332] recall 0.853881 [0.874286,0.830619] recall 0.887367 [0.888571,0.885993] recall 0.853881 [0.865714,0.840391] recall 0.866058 [0.891429,0.837134] recall 0.866058 [0.871429,0.859935] recall 0.876712 [0.86,0.895765] recall 0.855403 [0.868571,0.840391] recall 0.861492 [0.891429,0.827362] recall 0.863014 [0.894286,0.827362] recall 0.864536 [0.902857,0.820847] relative_absolute_error 0.413135 relative_absolute_error 0.430512 relative_absolute_error 0.395399 relative_absolute_error 0.431244 relative_absolute_error 0.428674 relative_absolute_error 0.401138 relative_absolute_error 0.390986 relative_absolute_error 0.398116 relative_absolute_error 0.428491 relative_absolute_error 0.43365 relative_absolute_error 0.441225 relative_absolute_error 0.40991 relative_absolute_error 0.431519 relative_absolute_error 0.415404 relative_absolute_error 0.380883 relative_absolute_error 0.431519 relative_absolute_error 0.389765 relative_absolute_error 0.45148 relative_absolute_error 0.396144 relative_absolute_error 0.388575 relative_absolute_error 0.375817 relative_absolute_error 0.422057 relative_absolute_error 0.425842 relative_absolute_error 0.388972 relative_absolute_error 0.396846 relative_absolute_error 0.425812 relative_absolute_error 0.398708 relative_absolute_error 0.390742 relative_absolute_error 0.416197 relative_absolute_error 0.405667 relative_absolute_error 0.423767 relative_absolute_error 0.405046 relative_absolute_error 0.427612 relative_absolute_error 0.412983 relative_absolute_error 0.417937 relative_absolute_error 0.43622 relative_absolute_error 0.416402 relative_absolute_error 0.433106 relative_absolute_error 0.40759 relative_absolute_error 0.414366 relative_absolute_error 0.416508 relative_absolute_error 0.458972 relative_absolute_error 0.408192 relative_absolute_error 0.442616 relative_absolute_error 0.44338 relative_absolute_error 0.411555 relative_absolute_error 0.420757 relative_absolute_error 0.399785 relative_absolute_error 0.418831 relative_absolute_error 0.409568 relative_absolute_error 0.414062 relative_absolute_error 0.401833 relative_absolute_error 0.394771 relative_absolute_error 0.409354 relative_absolute_error 0.437174 relative_absolute_error 0.394771 relative_absolute_error 0.474074 relative_absolute_error 0.398134 relative_absolute_error 0.432099 relative_absolute_error 0.421032 relative_absolute_error 0.392387 relative_absolute_error 0.402139 relative_absolute_error 0.402659 relative_absolute_error 0.41932 relative_absolute_error 0.408834 relative_absolute_error 0.445581 relative_absolute_error 0.430999 relative_absolute_error 0.398195 relative_absolute_error 0.417761 relative_absolute_error 0.445979 relative_absolute_error 0.443869 relative_absolute_error 0.43054 relative_absolute_error 0.449128 relative_absolute_error 0.43372 relative_absolute_error 0.433292 relative_absolute_error 0.396269 relative_absolute_error 0.41874 relative_absolute_error 0.397248 relative_absolute_error 0.436196 relative_absolute_error 0.420054 relative_absolute_error 0.410699 relative_absolute_error 0.4118 relative_absolute_error 0.397492 relative_absolute_error 0.400305 relative_absolute_error 0.395933 relative_absolute_error 0.413267 relative_absolute_error 0.428798 relative_absolute_error 0.474686 relative_absolute_error 0.412595 relative_absolute_error 0.436074 relative_absolute_error 0.442769 relative_absolute_error 0.391286 relative_absolute_error 0.42944 relative_absolute_error 0.422561 relative_absolute_error 0.427239 relative_absolute_error 0.412106 relative_absolute_error 0.410485 relative_absolute_error 0.422867 relative_absolute_error 0.414276 relative_absolute_error 0.415071 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 0.306715 root_mean_squared_error 0.316011 root_mean_squared_error 0.299404 root_mean_squared_error 0.317685 root_mean_squared_error 0.322482 root_mean_squared_error 0.304159 root_mean_squared_error 0.296739 root_mean_squared_error 0.301801 root_mean_squared_error 0.312895 root_mean_squared_error 0.32023 root_mean_squared_error 0.326148 root_mean_squared_error 0.305675 root_mean_squared_error 0.3228 root_mean_squared_error 0.316277 root_mean_squared_error 0.291037 root_mean_squared_error 0.317356 root_mean_squared_error 0.303645 root_mean_squared_error 0.331428 root_mean_squared_error 0.303908 root_mean_squared_error 0.304139 root_mean_squared_error 0.28313 root_mean_squared_error 0.313874 root_mean_squared_error 0.323736 root_mean_squared_error 0.297702 root_mean_squared_error 0.303169 root_mean_squared_error 0.320426 root_mean_squared_error 0.308998 root_mean_squared_error 0.293978 root_mean_squared_error 0.313731 root_mean_squared_error 0.307601 root_mean_squared_error 0.307127 root_mean_squared_error 0.30482 root_mean_squared_error 0.31292 root_mean_squared_error 0.310247 root_mean_squared_error 0.310694 root_mean_squared_error 0.32806 root_mean_squared_error 0.307095 root_mean_squared_error 0.319606 root_mean_squared_error 0.306464 root_mean_squared_error 0.308031 root_mean_squared_error 0.3177 root_mean_squared_error 0.341762 root_mean_squared_error 0.307071 root_mean_squared_error 0.327309 root_mean_squared_error 0.318944 root_mean_squared_error 0.30914 root_mean_squared_error 0.312146 root_mean_squared_error 0.306726 root_mean_squared_error 0.313722 root_mean_squared_error 0.307168 root_mean_squared_error 0.308271 root_mean_squared_error 0.300426 root_mean_squared_error 0.29949 root_mean_squared_error 0.312147 root_mean_squared_error 0.322609 root_mean_squared_error 0.30133 root_mean_squared_error 0.346205 root_mean_squared_error 0.299185 root_mean_squared_error 0.322484 root_mean_squared_error 0.310102 root_mean_squared_error 0.296262 root_mean_squared_error 0.304939 root_mean_squared_error 0.303404 root_mean_squared_error 0.312331 root_mean_squared_error 0.305794 root_mean_squared_error 0.329817 root_mean_squared_error 0.320004 root_mean_squared_error 0.297523 root_mean_squared_error 0.316314 root_mean_squared_error 0.325665 root_mean_squared_error 0.334277 root_mean_squared_error 0.317535 root_mean_squared_error 0.332857 root_mean_squared_error 0.319182 root_mean_squared_error 0.31999 root_mean_squared_error 0.299077 root_mean_squared_error 0.306591 root_mean_squared_error 0.302201 root_mean_squared_error 0.321334 root_mean_squared_error 0.313549 root_mean_squared_error 0.315144 root_mean_squared_error 0.306862 root_mean_squared_error 0.302062 root_mean_squared_error 0.298859 root_mean_squared_error 0.308489 root_mean_squared_error 0.311164 root_mean_squared_error 0.320807 root_mean_squared_error 0.345995 root_mean_squared_error 0.309459 root_mean_squared_error 0.330524 root_mean_squared_error 0.328674 root_mean_squared_error 0.303619 root_mean_squared_error 0.325146 root_mean_squared_error 0.314664 root_mean_squared_error 0.314234 root_mean_squared_error 0.307503 root_mean_squared_error 0.305385 root_mean_squared_error 0.31705 root_mean_squared_error 0.311949 root_mean_squared_error 0.308976 root_relative_squared_error 0.614806 root_relative_squared_error 0.633312 root_relative_squared_error 0.600151 root_relative_squared_error 0.636667 root_relative_squared_error 0.64641 root_relative_squared_error 0.609682 root_relative_squared_error 0.59469 root_relative_squared_error 0.604955 root_relative_squared_error 0.627193 root_relative_squared_error 0.641896 root_relative_squared_error 0.653628 root_relative_squared_error 0.612598 root_relative_squared_error 0.646919 root_relative_squared_error 0.633846 root_relative_squared_error 0.583262 root_relative_squared_error 0.636008 root_relative_squared_error 0.608529 root_relative_squared_error 0.66421 root_relative_squared_error 0.609058 root_relative_squared_error 0.609521 root_relative_squared_error 0.567417 root_relative_squared_error 0.62903 root_relative_squared_error 0.648795 root_relative_squared_error 0.59662 root_relative_squared_error 0.607577 root_relative_squared_error 0.642162 root_relative_squared_error 0.619257 root_relative_squared_error 0.589156 root_relative_squared_error 0.628743 root_relative_squared_error 0.616459 root_relative_squared_error 0.615508 root_relative_squared_error 0.611007 root_relative_squared_error 0.627119 root_relative_squared_error 0.621885 root_relative_squared_error 0.622657 root_relative_squared_error 0.65746 root_relative_squared_error 0.615568 root_relative_squared_error 0.640518 root_relative_squared_error 0.614181 root_relative_squared_error 0.617321 root_relative_squared_error 0.636765 root_relative_squared_error 0.684993 root_relative_squared_error 0.615461 root_relative_squared_error 0.656025 root_relative_squared_error 0.639258 root_relative_squared_error 0.619609 root_relative_squared_error 0.625633 root_relative_squared_error 0.61477 root_relative_squared_error 0.628793 root_relative_squared_error 0.615657 root_relative_squared_error 0.617866 root_relative_squared_error 0.602144 root_relative_squared_error 0.600267 root_relative_squared_error 0.625635 root_relative_squared_error 0.646605 root_relative_squared_error 0.603954 root_relative_squared_error 0.693898 root_relative_squared_error 0.599655 root_relative_squared_error 0.646354 root_relative_squared_error 0.621537 root_relative_squared_error 0.593797 root_relative_squared_error 0.611187 root_relative_squared_error 0.608112 root_relative_squared_error 0.626004 root_relative_squared_error 0.612901 root_relative_squared_error 0.661051 root_relative_squared_error 0.641384 root_relative_squared_error 0.596325 root_relative_squared_error 0.633987 root_relative_squared_error 0.65273 root_relative_squared_error 0.66999 root_relative_squared_error 0.636434 root_relative_squared_error 0.667145 root_relative_squared_error 0.639736 root_relative_squared_error 0.641356 root_relative_squared_error 0.59944 root_relative_squared_error 0.614499 root_relative_squared_error 0.605701 root_relative_squared_error 0.644048 root_relative_squared_error 0.628445 root_relative_squared_error 0.631643 root_relative_squared_error 0.615043 root_relative_squared_error 0.605423 root_relative_squared_error 0.599003 root_relative_squared_error 0.618305 root_relative_squared_error 0.623664 root_relative_squared_error 0.642993 root_relative_squared_error 0.693477 root_relative_squared_error 0.620248 root_relative_squared_error 0.662468 root_relative_squared_error 0.658761 root_relative_squared_error 0.608543 root_relative_squared_error 0.651689 root_relative_squared_error 0.63068 root_relative_squared_error 0.629818 root_relative_squared_error 0.616328 root_relative_squared_error 0.612083 root_relative_squared_error 0.635463 root_relative_squared_error 0.625239 root_relative_squared_error 0.61928 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 2780 usercpu_time_millis 2700 usercpu_time_millis 2800 usercpu_time_millis 2510 usercpu_time_millis 2590 usercpu_time_millis 2550 usercpu_time_millis 2580 usercpu_time_millis 2640 usercpu_time_millis 2780 usercpu_time_millis 2550 usercpu_time_millis 2800 usercpu_time_millis 2650 usercpu_time_millis 2650 usercpu_time_millis 2520 usercpu_time_millis 2620 usercpu_time_millis 2550 usercpu_time_millis 2620 usercpu_time_millis 2630 usercpu_time_millis 2620 usercpu_time_millis 2570 usercpu_time_millis 2570 usercpu_time_millis 2660 usercpu_time_millis 2640 usercpu_time_millis 2590 usercpu_time_millis 2530 usercpu_time_millis 2540 usercpu_time_millis 2550 usercpu_time_millis 2580 usercpu_time_millis 2590 usercpu_time_millis 2570 usercpu_time_millis 2590 usercpu_time_millis 2630 usercpu_time_millis 2650 usercpu_time_millis 2500 usercpu_time_millis 2550 usercpu_time_millis 2540 usercpu_time_millis 2630 usercpu_time_millis 2560 usercpu_time_millis 2580 usercpu_time_millis 2570 usercpu_time_millis 2570 usercpu_time_millis 2640 usercpu_time_millis 2610 usercpu_time_millis 2490 usercpu_time_millis 2530 usercpu_time_millis 2560 usercpu_time_millis 2580 usercpu_time_millis 2600 usercpu_time_millis 2590 usercpu_time_millis 2570 usercpu_time_millis 2600 usercpu_time_millis 2590 usercpu_time_millis 2620 usercpu_time_millis 2510 usercpu_time_millis 2540 usercpu_time_millis 2550 usercpu_time_millis 2630 usercpu_time_millis 2590 usercpu_time_millis 2590 usercpu_time_millis 2560 usercpu_time_millis 2590 usercpu_time_millis 2660 usercpu_time_millis 2630 usercpu_time_millis 2510 usercpu_time_millis 2540 usercpu_time_millis 2550 usercpu_time_millis 2830 usercpu_time_millis 2660 usercpu_time_millis 2540 usercpu_time_millis 2570 usercpu_time_millis 2590 usercpu_time_millis 2610 usercpu_time_millis 2500 usercpu_time_millis 2540 usercpu_time_millis 2540 usercpu_time_millis 2560 usercpu_time_millis 2650 usercpu_time_millis 2630 usercpu_time_millis 2550 usercpu_time_millis 2550 usercpu_time_millis 2610 usercpu_time_millis 2570 usercpu_time_millis 2500 usercpu_time_millis 2760 usercpu_time_millis 2520 usercpu_time_millis 2530 usercpu_time_millis 2620 usercpu_time_millis 2610 usercpu_time_millis 2560 usercpu_time_millis 2600 usercpu_time_millis 2930 usercpu_time_millis 2670 usercpu_time_millis 2520 usercpu_time_millis 2580 usercpu_time_millis 2530 usercpu_time_millis 2550 usercpu_time_millis 2590 usercpu_time_millis 2800 usercpu_time_millis 2550 usercpu_time_millis 2570 usercpu_time_millis_testing 60 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 30 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 50 usercpu_time_millis_testing 60 usercpu_time_millis_testing 40 usercpu_time_millis_testing 90 usercpu_time_millis_testing 50 usercpu_time_millis_testing 60 usercpu_time_millis_testing 30 usercpu_time_millis_testing 50 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 usercpu_time_millis_testing 40 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