338393 2 Joaquin Vanschoren 4417 Supervised Classification predictive_accuracy 1084 weka.J48graft(1) 1854 weka.classifiers.trees.J48graft -- -C 0.25 -M 2 C 0.25 1084 M 2 1084 weka weka_3.7.12 847 wind https://www.openml.org/data/download/53381/wind.arff -1 1161158 description https://api.openml.org/data/download/1161158/weka_generated_run7324215639696721424.xml -1 1161161 model_readable https://api.openml.org/data/download/1161161/WekaModel_weka.classifiers.trees.J48graft7631890597532040833.model -1 1161160 model_serialized https://api.openml.org/data/download/1161160/WekaSerialized_weka.classifiers.trees.J48graft2726950555047702618.model -1 1161159 predictions https://api.openml.org/data/download/1161159/weka_generated_predictions3149605939944456073.arff area_under_roc_curve 0.849892 [0.849892,0.849892] average_cost 0 f_measure 0.8368 [0.846731,0.825485] kappa 0.672216 kb_relative_information_score 41028.170356 mean_absolute_error 0.19407 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 0.836803 [0.846961,0.82523] predictive_accuracy 0.836796 prior_entropy 0.996942 recall 0.836796 [0.846501,0.82574] relative_absolute_error 0.389792 root_mean_prior_squared_error 0.498939 root_mean_squared_error 0.376841 root_relative_squared_error 0.755284 scimark_benchmark 1339.857269 [807.5187827269012, 953.9380191873151, 529.7197090623405, 1112.193413169667, 3295.916422750447] total_cost 0 usercpu_time_millis 320 usercpu_time_millis_testing 0 usercpu_time_millis_training 320 area_under_roc_curve 0.86251 [0.86251,0.86251] area_under_roc_curve 0.827064 [0.827064,0.827064] area_under_roc_curve 0.87334 [0.87334,0.87334] area_under_roc_curve 0.850455 [0.850455,0.850455] area_under_roc_curve 0.832141 [0.832141,0.832141] area_under_roc_curve 0.868779 [0.868779,0.868779] area_under_roc_curve 0.870506 [0.870506,0.870506] area_under_roc_curve 0.886068 [0.886068,0.886068] area_under_roc_curve 0.832526 [0.832526,0.832526] area_under_roc_curve 0.835361 [0.835361,0.835361] area_under_roc_curve 0.838706 [0.838706,0.838706] area_under_roc_curve 0.863061 [0.863061,0.863061] area_under_roc_curve 0.835974 [0.835974,0.835974] area_under_roc_curve 0.868224 [0.868224,0.868224] area_under_roc_curve 0.847597 [0.847597,0.847597] area_under_roc_curve 0.85269 [0.85269,0.85269] area_under_roc_curve 0.833975 [0.833975,0.833975] area_under_roc_curve 0.843279 [0.843279,0.843279] area_under_roc_curve 0.811619 [0.811619,0.811619] area_under_roc_curve 0.861424 [0.861424,0.861424] area_under_roc_curve 0.862045 [0.862045,0.862045] area_under_roc_curve 0.874332 [0.874332,0.874332] area_under_roc_curve 0.854647 [0.854647,0.854647] area_under_roc_curve 0.851577 [0.851577,0.851577] area_under_roc_curve 0.850162 [0.850162,0.850162] area_under_roc_curve 0.873261 [0.873261,0.873261] area_under_roc_curve 0.843683 [0.843683,0.843683] area_under_roc_curve 0.864884 [0.864884,0.864884] area_under_roc_curve 0.855649 [0.855649,0.855649] area_under_roc_curve 0.827273 [0.827273,0.827273] area_under_roc_curve 0.873418 [0.873418,0.873418] area_under_roc_curve 0.845258 [0.845258,0.845258] area_under_roc_curve 0.846122 [0.846122,0.846122] area_under_roc_curve 0.851212 [0.851212,0.851212] area_under_roc_curve 0.856688 [0.856688,0.856688] area_under_roc_curve 0.832254 [0.832254,0.832254] area_under_roc_curve 0.820782 [0.820782,0.820782] area_under_roc_curve 0.858033 [0.858033,0.858033] area_under_roc_curve 0.864508 [0.864508,0.864508] area_under_roc_curve 0.85116 [0.85116,0.85116] area_under_roc_curve 0.8555 [0.8555,0.8555] area_under_roc_curve 0.835398 [0.835398,0.835398] area_under_roc_curve 0.838511 [0.838511,0.838511] area_under_roc_curve 0.807073 [0.807073,0.807073] area_under_roc_curve 0.805156 [0.805156,0.805156] area_under_roc_curve 0.830763 [0.830763,0.830763] area_under_roc_curve 0.847259 [0.847259,0.847259] area_under_roc_curve 0.876436 [0.876436,0.876436] area_under_roc_curve 0.852652 [0.852652,0.852652] area_under_roc_curve 0.847222 [0.847222,0.847222] area_under_roc_curve 0.848548 [0.848548,0.848548] area_under_roc_curve 0.868623 [0.868623,0.868623] area_under_roc_curve 0.877757 [0.877757,0.877757] area_under_roc_curve 0.836333 [0.836333,0.836333] area_under_roc_curve 0.835044 [0.835044,0.835044] area_under_roc_curve 0.847464 [0.847464,0.847464] area_under_roc_curve 0.843518 [0.843518,0.843518] area_under_roc_curve 0.877059 [0.877059,0.877059] area_under_roc_curve 0.827692 [0.827692,0.827692] area_under_roc_curve 0.86108 [0.86108,0.86108] area_under_roc_curve 0.85839 [0.85839,0.85839] area_under_roc_curve 0.882364 [0.882364,0.882364] area_under_roc_curve 0.813067 [0.813067,0.813067] area_under_roc_curve 0.866291 [0.866291,0.866291] area_under_roc_curve 0.864141 [0.864141,0.864141] area_under_roc_curve 0.836468 [0.836468,0.836468] area_under_roc_curve 0.829111 [0.829111,0.829111] area_under_roc_curve 0.853355 [0.853355,0.853355] area_under_roc_curve 0.896077 [0.896077,0.896077] area_under_roc_curve 0.835398 [0.835398,0.835398] area_under_roc_curve 0.824453 [0.824453,0.824453] area_under_roc_curve 0.844844 [0.844844,0.844844] area_under_roc_curve 0.855095 [0.855095,0.855095] area_under_roc_curve 0.837129 [0.837129,0.837129] area_under_roc_curve 0.869372 [0.869372,0.869372] area_under_roc_curve 0.860549 [0.860549,0.860549] area_under_roc_curve 0.85933 [0.85933,0.85933] area_under_roc_curve 0.870084 [0.870084,0.870084] area_under_roc_curve 0.832117 [0.832117,0.832117] area_under_roc_curve 0.850033 [0.850033,0.850033] area_under_roc_curve 0.873197 [0.873197,0.873197] area_under_roc_curve 0.832066 [0.832066,0.832066] area_under_roc_curve 0.851345 [0.851345,0.851345] area_under_roc_curve 0.846412 [0.846412,0.846412] area_under_roc_curve 0.858278 [0.858278,0.858278] area_under_roc_curve 0.863136 [0.863136,0.863136] area_under_roc_curve 0.826049 [0.826049,0.826049] area_under_roc_curve 0.802317 [0.802317,0.802317] area_under_roc_curve 0.861768 [0.861768,0.861768] area_under_roc_curve 0.812303 [0.812303,0.812303] area_under_roc_curve 0.814025 [0.814025,0.814025] area_under_roc_curve 0.863201 [0.863201,0.863201] area_under_roc_curve 0.86892 [0.86892,0.86892] area_under_roc_curve 0.843685 [0.843685,0.843685] area_under_roc_curve 0.842145 [0.842145,0.842145] area_under_roc_curve 0.857617 [0.857617,0.857617] area_under_roc_curve 0.86222 [0.86222,0.86222] area_under_roc_curve 0.835612 [0.835612,0.835612] area_under_roc_curve 0.843248 [0.843248,0.843248] area_under_roc_curve 0.84517 [0.84517,0.84517] 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 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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 f_measure 0.845015 [0.854286,0.834416] f_measure 0.819252 [0.828283,0.808989] f_measure 0.858703 [0.866953,0.849271] f_measure 0.838798 [0.849858,0.82623] f_measure 0.835866 [0.846154,0.824104] f_measure 0.840595 [0.846715,0.833597] f_measure 0.860123 [0.869318,0.849673] f_measure 0.867553 [0.878322,0.855241] f_measure 0.843631 [0.849635,0.836767] f_measure 0.840373 [0.851064,0.828151] f_measure 0.823819 [0.83237,0.814103] f_measure 0.85855 [0.868458,0.847291] f_measure 0.829531 [0.842697,0.81457] f_measure 0.83446 [0.842258,0.8256] f_measure 0.853927 [0.864789,0.841584] f_measure 0.849558 [0.858369,0.839546] f_measure 0.817354 [0.831461,0.801325] f_measure 0.811424 [0.824363,0.796721] f_measure 0.834509 [0.838519,0.829953] f_measure 0.848176 [0.853372,0.842271] f_measure 0.864818 [0.871573,0.857143] f_measure 0.845905 [0.86069,0.829103] f_measure 0.831323 [0.841202,0.820097] f_measure 0.842024 [0.850144,0.832797] f_measure 0.840338 [0.851064,0.828151] f_measure 0.834295 [0.84495,0.822186] f_measure 0.849585 [0.857963,0.840065] f_measure 0.84338 [0.853901,0.831424] f_measure 0.850575 [0.864266,0.835017] f_measure 0.835833 [0.846154,0.824104] f_measure 0.837478 [0.845599,0.82825] f_measure 0.829972 [0.836257,0.822785] f_measure 0.83597 [0.843931,0.826923] f_measure 0.832889 [0.842407,0.822006] f_measure 0.825303 [0.834532,0.814815] f_measure 0.820632 [0.831909,0.807818] f_measure 0.829751 [0.840909,0.816993] f_measure 0.845082 [0.852601,0.836538] f_measure 0.85413 [0.862464,0.84466] f_measure 0.826857 [0.83526,0.817308] f_measure 0.823363 [0.835227,0.809836] f_measure 0.817418 [0.827586,0.805825] f_measure 0.84947 [0.855051,0.843106] f_measure 0.812633 [0.826025,0.797364] f_measure 0.803493 [0.817539,0.787479] f_measure 0.832604 [0.842407,0.821429] f_measure 0.841635 [0.852273,0.829508] f_measure 0.849382 [0.857554,0.840065] f_measure 0.825086 [0.833575,0.815409] f_measure 0.835413 [0.847887,0.821192] f_measure 0.8493 [0.858773,0.838499] f_measure 0.84947 [0.855051,0.843106] f_measure 0.853451 [0.866667,0.838384] f_measure 0.812804 [0.824034,0.8] f_measure 0.825141 [0.831625,0.81775] f_measure 0.849267 [0.859175,0.837971] f_measure 0.814428 [0.823699,0.803859] f_measure 0.841672 [0.851852,0.830065] f_measure 0.832314 [0.845506,0.817276] f_measure 0.841786 [0.850144,0.832258] f_measure 0.843099 [0.854314,0.830313] f_measure 0.844681 [0.855114,0.832787] f_measure 0.828188 [0.834068,0.821485] f_measure 0.841705 [0.851429,0.830619] f_measure 0.853742 [0.864407,0.841584] f_measure 0.827866 [0.84017,0.813839] f_measure 0.829366 [0.841808,0.815182] f_measure 0.837154 [0.846924,0.826016] f_measure 0.856999 [0.864553,0.848387] f_measure 0.830816 [0.843882,0.81592] f_measure 0.803439 [0.818054,0.786777] f_measure 0.831229 [0.837004,0.824645] f_measure 0.8388 [0.84593,0.830671] f_measure 0.838247 [0.852368,0.822148] f_measure 0.849438 [0.856313,0.8416] f_measure 0.862954 [0.872159,0.852459] f_measure 0.831033 [0.841655,0.818923] f_measure 0.844805 [0.853448,0.834951] f_measure 0.828082 [0.83741,0.817447] f_measure 0.834168 [0.843165,0.82391] f_measure 0.841109 [0.856354,0.823729] f_measure 0.83123 [0.836041,0.825746] f_measure 0.844229 [0.858726,0.827703] f_measure 0.843388 [0.849195,0.836767] f_measure 0.850607 [0.86236,0.837209] f_measure 0.844805 [0.853448,0.834951] f_measure 0.826161 [0.840336,0.81] f_measure 0.797683 [0.808081,0.785829] f_measure 0.850837 [0.86,0.840391] f_measure 0.815881 [0.826399,0.80389] f_measure 0.815014 [0.833563,0.793867] f_measure 0.869187 [0.875723,0.861736] f_measure 0.824906 [0.836415,0.811784] f_measure 0.83855 [0.849858,0.825658] f_measure 0.825039 [0.834532,0.814216] f_measure 0.837272 [0.844702,0.8288] f_measure 0.841735 [0.851003,0.831169] f_measure 0.826365 [0.838527,0.8125] f_measure 0.823474 [0.833811,0.811688] f_measure 0.824606 [0.839161,0.808013] kappa 0.688704 kappa 0.637313 kappa 0.716229 kappa 0.676115 kappa 0.670258 kappa 0.680526 kappa 0.719002 kappa 0.733668 kappa 0.686612 kappa 0.679221 kappa 0.646525 kappa 0.715781 kappa 0.657381 kappa 0.66792 kappa 0.706441 kappa 0.697916 kappa 0.632908 kappa 0.621116 kappa 0.66895 kappa 0.695872 kappa 0.728747 kappa 0.690245 kappa 0.6613 kappa 0.682968 kappa 0.679233 kappa 0.667143 kappa 0.698034 kappa 0.685343 kappa 0.699622 kappa 0.670261 kappa 0.673886 kappa 0.659297 kappa 0.670902 kappa 0.664426 kappa 0.649367 kappa 0.63973 kappa 0.657906 kappa 0.689186 kappa 0.707127 kappa 0.652619 kappa 0.645077 kappa 0.633425 kappa 0.69836 kappa 0.623433 kappa 0.605063 kappa 0.663839 kappa 0.681793 kappa 0.697636 kappa 0.64905 kappa 0.669157 kappa 0.697273 kappa 0.69836 kappa 0.705326 kappa 0.624035 kappa 0.64961 kappa 0.697152 kappa 0.627613 kappa 0.68192 kappa 0.662895 kappa 0.682429 kappa 0.684663 kappa 0.687912 kappa 0.655841 kappa 0.682047 kappa 0.706035 kappa 0.654048 kappa 0.657041 kappa 0.672941 kappa 0.712964 kappa 0.659898 kappa 0.604905 kappa 0.661932 kappa 0.676709 kappa 0.674762 kappa 0.697998 kappa 0.724628 kappa 0.660579 kappa 0.688411 kappa 0.654878 kappa 0.667094 kappa 0.680513 kappa 0.662201 kappa 0.686783 kappa 0.686172 kappa 0.69967 kappa 0.688411 kappa 0.650496 kappa 0.593956 kappa 0.700391 kappa 0.630296 kappa 0.628065 kappa 0.737498 kappa 0.648207 kappa 0.675543 kappa 0.648769 kappa 0.673594 kappa 0.682175 kappa 0.651056 kappa 0.645502 kappa 0.647359 kb_relative_information_score 408.560338 kb_relative_information_score 390.055785 kb_relative_information_score 443.871589 kb_relative_information_score 408.973562 kb_relative_information_score 406.743603 kb_relative_information_score 415.914216 kb_relative_information_score 434.288741 kb_relative_information_score 451.759003 kb_relative_information_score 420.139724 kb_relative_information_score 416.919175 kb_relative_information_score 398.467833 kb_relative_information_score 437.308749 kb_relative_information_score 405.144581 kb_relative_information_score 414.273278 kb_relative_information_score 432.567727 kb_relative_information_score 422.728915 kb_relative_information_score 391.357282 kb_relative_information_score 383.523876 kb_relative_information_score 408.158622 kb_relative_information_score 425.272619 kb_relative_information_score 447.417809 kb_relative_information_score 417.85771 kb_relative_information_score 400.234809 kb_relative_information_score 426.3426 kb_relative_information_score 423.700386 kb_relative_information_score 415.400843 kb_relative_information_score 431.216313 kb_relative_information_score 422.147297 kb_relative_information_score 426.301082 kb_relative_information_score 407.338496 kb_relative_information_score 415.342928 kb_relative_information_score 400.741974 kb_relative_information_score 411.058075 kb_relative_information_score 411.365621 kb_relative_information_score 394.901116 kb_relative_information_score 392.494858 kb_relative_information_score 402.456848 kb_relative_information_score 424.674753 kb_relative_information_score 428.213817 kb_relative_information_score 400.19016 kb_relative_information_score 397.29945 kb_relative_information_score 386.105481 kb_relative_information_score 428.178612 kb_relative_information_score 377.705551 kb_relative_information_score 379.265642 kb_relative_information_score 401.256149 kb_relative_information_score 412.829006 kb_relative_information_score 421.914543 kb_relative_information_score 408.894444 kb_relative_information_score 408.261612 kb_relative_information_score 423.697529 kb_relative_information_score 416.96491 kb_relative_information_score 429.396364 kb_relative_information_score 389.639538 kb_relative_information_score 393.173395 kb_relative_information_score 426.067575 kb_relative_information_score 380.69098 kb_relative_information_score 421.818556 kb_relative_information_score 406.198721 kb_relative_information_score 411.8718 kb_relative_information_score 423.273008 kb_relative_information_score 424.886104 kb_relative_information_score 398.708916 kb_relative_information_score 413.871063 kb_relative_information_score 426.115012 kb_relative_information_score 402.98364 kb_relative_information_score 401.451923 kb_relative_information_score 416.032221 kb_relative_information_score 426.847365 kb_relative_information_score 405.256637 kb_relative_information_score 373.057568 kb_relative_information_score 397.456735 kb_relative_information_score 401.548289 kb_relative_information_score 398.503821 kb_relative_information_score 422.006218 kb_relative_information_score 435.610046 kb_relative_information_score 395.089657 kb_relative_information_score 416.580612 kb_relative_information_score 389.932613 kb_relative_information_score 405.36119 kb_relative_information_score 422.897537 kb_relative_information_score 400.805301 kb_relative_information_score 416.586303 kb_relative_information_score 418.807329 kb_relative_information_score 424.091236 kb_relative_information_score 413.269849 kb_relative_information_score 403.033327 kb_relative_information_score 364.454073 kb_relative_information_score 417.960781 kb_relative_information_score 384.980887 kb_relative_information_score 379.102418 kb_relative_information_score 438.885659 kb_relative_information_score 398.576132 kb_relative_information_score 410.796888 kb_relative_information_score 400.581841 kb_relative_information_score 414.481726 kb_relative_information_score 419.892939 kb_relative_information_score 401.862018 kb_relative_information_score 400.084452 kb_relative_information_score 385.790453 mean_absolute_error 0.197941 mean_absolute_error 0.20886 mean_absolute_error 0.167426 mean_absolute_error 0.196559 mean_absolute_error 0.198051 mean_absolute_error 0.189817 mean_absolute_error 0.177485 mean_absolute_error 0.163561 mean_absolute_error 0.187156 mean_absolute_error 0.189215 mean_absolute_error 0.202399 mean_absolute_error 0.174684 mean_absolute_error 0.198246 mean_absolute_error 0.1907 mean_absolute_error 0.177192 mean_absolute_error 0.185963 mean_absolute_error 0.20796 mean_absolute_error 0.214356 mean_absolute_error 0.196627 mean_absolute_error 0.183535 mean_absolute_error 0.166514 mean_absolute_error 0.189734 mean_absolute_error 0.202202 mean_absolute_error 0.181166 mean_absolute_error 0.183791 mean_absolute_error 0.189197 mean_absolute_error 0.177968 mean_absolute_error 0.185855 mean_absolute_error 0.182507 mean_absolute_error 0.196978 mean_absolute_error 0.190286 mean_absolute_error 0.201728 mean_absolute_error 0.194116 mean_absolute_error 0.192904 mean_absolute_error 0.206245 mean_absolute_error 0.207564 mean_absolute_error 0.200218 mean_absolute_error 0.18252 mean_absolute_error 0.181845 mean_absolute_error 0.201281 mean_absolute_error 0.203184 mean_absolute_error 0.211402 mean_absolute_error 0.179135 mean_absolute_error 0.217961 mean_absolute_error 0.215364 mean_absolute_error 0.200608 mean_absolute_error 0.192601 mean_absolute_error 0.186585 mean_absolute_error 0.192873 mean_absolute_error 0.195656 mean_absolute_error 0.184181 mean_absolute_error 0.19104 mean_absolute_error 0.180959 mean_absolute_error 0.207003 mean_absolute_error 0.206855 mean_absolute_error 0.182099 mean_absolute_error 0.215863 mean_absolute_error 0.18468 mean_absolute_error 0.196706 mean_absolute_error 0.192406 mean_absolute_error 0.18286 mean_absolute_error 0.182054 mean_absolute_error 0.201963 mean_absolute_error 0.191436 mean_absolute_error 0.183237 mean_absolute_error 0.198226 mean_absolute_error 0.200215 mean_absolute_error 0.190654 mean_absolute_error 0.18287 mean_absolute_error 0.196087 mean_absolute_error 0.221318 mean_absolute_error 0.204493 mean_absolute_error 0.201897 mean_absolute_error 0.204177 mean_absolute_error 0.185318 mean_absolute_error 0.175634 mean_absolute_error 0.206309 mean_absolute_error 0.189784 mean_absolute_error 0.209979 mean_absolute_error 0.197907 mean_absolute_error 0.184 mean_absolute_error 0.201395 mean_absolute_error 0.189033 mean_absolute_error 0.187204 mean_absolute_error 0.184132 mean_absolute_error 0.191988 mean_absolute_error 0.198996 mean_absolute_error 0.227382 mean_absolute_error 0.189027 mean_absolute_error 0.211925 mean_absolute_error 0.217425 mean_absolute_error 0.174258 mean_absolute_error 0.201357 mean_absolute_error 0.194036 mean_absolute_error 0.200588 mean_absolute_error 0.189825 mean_absolute_error 0.186064 mean_absolute_error 0.199252 mean_absolute_error 0.200248 mean_absolute_error 0.213183 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 0.845061 [0.856734,0.831715] precision 0.81954 [0.836735,0.8] precision 0.858779 [0.87069,0.845161] precision 0.83883 [0.842697,0.834437] precision 0.835866 [0.846154,0.824104] precision 0.841886 [0.868263,0.811728] precision 0.860127 [0.864407,0.855263] precision 0.868009 [0.862637,0.87415] precision 0.844923 [0.871257,0.814815] precision 0.840356 [0.847458,0.832237] precision 0.824174 [0.842105,0.803797] precision 0.858633 [0.859944,0.857143] precision 0.82983 [0.828729,0.831081] precision 0.834887 [0.853372,0.81388] precision 0.854148 [0.852778,0.855705] precision 0.849577 [0.859599,0.838188] precision 0.817627 [0.81768,0.817568] precision 0.811434 [0.817416,0.804636] precision 0.837081 [0.870769,0.798799] precision 0.849597 [0.876506,0.819018] precision 0.865091 [0.880466,0.847619] precision 0.847786 [0.832,0.865724] precision 0.831343 [0.842407,0.81877] precision 0.842244 [0.857558,0.824841] precision 0.840349 [0.84507,0.834983] precision 0.834278 [0.84136,0.82623] precision 0.849661 [0.861671,0.836013] precision 0.843392 [0.847887,0.838284] precision 0.852014 [0.83871,0.867133] precision 0.835815 [0.84375,0.826797] precision 0.83776 [0.854227,0.819048] precision 0.831397 [0.858859,0.8] precision 0.83632 [0.853801,0.816456] precision 0.833012 [0.847262,0.81672] precision 0.825473 [0.84058,0.808307] precision 0.820611 [0.829545,0.810458] precision 0.82973 [0.838527,0.819672] precision 0.84543 [0.862573,0.825949] precision 0.854173 [0.864943,0.841935] precision 0.827211 [0.845029,0.806962] precision 0.823347 [0.830508,0.815182] precision 0.817545 [0.83237,0.800643] precision 0.850761 [0.876877,0.820988] precision 0.812665 [0.817927,0.806667] precision 0.803516 [0.809524,0.796667] precision 0.832652 [0.844828,0.81877] precision 0.841629 [0.847458,0.834983] precision 0.849547 [0.863768,0.833333] precision 0.825521 [0.844575,0.803797] precision 0.8356 [0.836111,0.835017] precision 0.849288 [0.85755,0.839869] precision 0.850761 [0.876877,0.820988] precision 0.854623 [0.843243,0.867596] precision 0.812826 [0.825215,0.798701] precision 0.826425 [0.852853,0.796296] precision 0.849254 [0.855524,0.842105] precision 0.814791 [0.833333,0.793651] precision 0.841654 [0.849432,0.832787] precision 0.832616 [0.831492,0.833898] precision 0.842009 [0.857558,0.824281] precision 0.843164 [0.845938,0.84] precision 0.844676 [0.850282,0.838284] precision 0.829755 [0.858006,0.797546] precision 0.841705 [0.851429,0.830619] precision 0.853858 [0.854749,0.852843] precision 0.827914 [0.831933,0.823333] precision 0.829451 [0.832402,0.826087] precision 0.837174 [0.848138,0.824675] precision 0.857216 [0.872093,0.840256] precision 0.831051 [0.831025,0.831081] precision 0.803528 [0.807799,0.798658] precision 0.832797 [0.861027,0.800613] precision 0.839499 [0.860947,0.815047] precision 0.839105 [0.831522,0.847751] precision 0.850038 [0.870206,0.827044] precision 0.862958 [0.867232,0.858086] precision 0.831019 [0.840456,0.820261] precision 0.844924 [0.858382,0.829582] precision 0.828254 [0.843478,0.810897] precision 0.834338 [0.849275,0.817308] precision 0.842793 [0.828877,0.858657] precision 0.833447 [0.865443,0.79697] precision 0.84563 [0.833333,0.859649] precision 0.844677 [0.870871,0.814815] precision 0.85095 [0.848066,0.854237] precision 0.844924 [0.858382,0.829582] precision 0.826594 [0.824176,0.829352] precision 0.797983 [0.816327,0.77707] precision 0.850837 [0.86,0.840391] precision 0.815966 [0.829971,0.8] precision 0.816998 [0.803714,0.832143] precision 0.86953 [0.885965,0.850794] precision 0.824884 [0.832861,0.815789] precision 0.83858 [0.842697,0.833887] precision 0.825212 [0.84058,0.807692] precision 0.837874 [0.858407,0.814465] precision 0.841781 [0.853448,0.828479] precision 0.826385 [0.831461,0.820598] precision 0.823523 [0.836207,0.809061] precision 0.825118 [0.821918,0.828767] predictive_accuracy 0.844985 predictive_accuracy 0.819149 predictive_accuracy 0.858663 predictive_accuracy 0.838906 predictive_accuracy 0.835866 predictive_accuracy 0.840426 predictive_accuracy 0.860182 predictive_accuracy 0.867781 predictive_accuracy 0.843465 predictive_accuracy 0.840426 predictive_accuracy 0.823708 predictive_accuracy 0.858663 predictive_accuracy 0.829787 predictive_accuracy 0.834347 predictive_accuracy 0.854103 predictive_accuracy 0.849544 predictive_accuracy 0.817629 predictive_accuracy 0.81155 predictive_accuracy 0.834347 predictive_accuracy 0.848024 predictive_accuracy 0.864742 predictive_accuracy 0.846505 predictive_accuracy 0.831307 predictive_accuracy 0.841945 predictive_accuracy 0.840426 predictive_accuracy 0.834347 predictive_accuracy 0.849544 predictive_accuracy 0.843465 predictive_accuracy 0.851064 predictive_accuracy 0.835866 predictive_accuracy 0.837386 predictive_accuracy 0.829787 predictive_accuracy 0.835866 predictive_accuracy 0.832827 predictive_accuracy 0.825228 predictive_accuracy 0.820669 predictive_accuracy 0.829787 predictive_accuracy 0.844985 predictive_accuracy 0.854103 predictive_accuracy 0.826748 predictive_accuracy 0.82344 predictive_accuracy 0.817352 predictive_accuracy 0.849315 predictive_accuracy 0.812785 predictive_accuracy 0.803653 predictive_accuracy 0.832572 predictive_accuracy 0.841705 predictive_accuracy 0.849315 predictive_accuracy 0.824962 predictive_accuracy 0.835616 predictive_accuracy 0.849315 predictive_accuracy 0.849315 predictive_accuracy 0.853881 predictive_accuracy 0.812785 predictive_accuracy 0.824962 predictive_accuracy 0.849315 predictive_accuracy 0.814307 predictive_accuracy 0.841705 predictive_accuracy 0.832572 predictive_accuracy 0.841705 predictive_accuracy 0.843227 predictive_accuracy 0.844749 predictive_accuracy 0.828006 predictive_accuracy 0.841705 predictive_accuracy 0.853881 predictive_accuracy 0.828006 predictive_accuracy 0.829528 predictive_accuracy 0.837139 predictive_accuracy 0.856925 predictive_accuracy 0.83105 predictive_accuracy 0.803653 predictive_accuracy 0.83105 predictive_accuracy 0.838661 predictive_accuracy 0.838661 predictive_accuracy 0.849315 predictive_accuracy 0.863014 predictive_accuracy 0.83105 predictive_accuracy 0.844749 predictive_accuracy 0.828006 predictive_accuracy 0.834094 predictive_accuracy 0.841705 predictive_accuracy 0.83105 predictive_accuracy 0.844749 predictive_accuracy 0.843227 predictive_accuracy 0.850837 predictive_accuracy 0.844749 predictive_accuracy 0.826484 predictive_accuracy 0.797565 predictive_accuracy 0.850837 predictive_accuracy 0.81583 predictive_accuracy 0.81583 predictive_accuracy 0.869102 predictive_accuracy 0.824962 predictive_accuracy 0.838661 predictive_accuracy 0.824962 predictive_accuracy 0.837139 predictive_accuracy 0.841705 predictive_accuracy 0.826484 predictive_accuracy 0.82344 predictive_accuracy 0.824962 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 0.844985 [0.851852,0.837134] recall 0.819149 [0.82,0.818182] recall 0.858663 [0.863248,0.85342] recall 0.838906 [0.857143,0.818182] recall 0.835866 [0.846154,0.824104] recall 0.840426 [0.826211,0.856678] recall 0.860182 [0.874286,0.844156] recall 0.867781 [0.894587,0.837134] recall 0.843465 [0.82906,0.859935] recall 0.840426 [0.854701,0.824104] recall 0.823708 [0.822857,0.824675] recall 0.858663 [0.877143,0.837662] recall 0.829787 [0.857143,0.798701] recall 0.834347 [0.831429,0.837662] recall 0.854103 [0.877143,0.827922] recall 0.849544 [0.857143,0.840909] recall 0.817629 [0.845714,0.785714] recall 0.81155 [0.831429,0.788961] recall 0.834347 [0.808571,0.863636] recall 0.848024 [0.831429,0.866883] recall 0.864742 [0.862857,0.866883] recall 0.846505 [0.891429,0.795455] recall 0.831307 [0.84,0.821429] recall 0.841945 [0.842857,0.840909] recall 0.840426 [0.857143,0.821429] recall 0.834347 [0.848571,0.818182] recall 0.849544 [0.854286,0.844156] recall 0.843465 [0.86,0.824675] recall 0.851064 [0.891429,0.805195] recall 0.835866 [0.848571,0.821429] recall 0.837386 [0.837143,0.837662] recall 0.829787 [0.814815,0.846906] recall 0.835866 [0.834286,0.837662] recall 0.832827 [0.837607,0.827362] recall 0.825228 [0.828571,0.821429] recall 0.820669 [0.834286,0.805195] recall 0.829787 [0.843305,0.814332] recall 0.844985 [0.842857,0.847403] recall 0.854103 [0.86,0.847403] recall 0.826748 [0.825714,0.827922] recall 0.82344 [0.84,0.80456] recall 0.817352 [0.822857,0.811075] recall 0.849315 [0.834286,0.86645] recall 0.812785 [0.834286,0.788274] recall 0.803653 [0.825714,0.778502] recall 0.832572 [0.84,0.824104] recall 0.841705 [0.857143,0.824104] recall 0.849315 [0.851429,0.846906] recall 0.824962 [0.822857,0.827362] recall 0.835616 [0.86,0.807818] recall 0.849315 [0.86,0.837134] recall 0.849315 [0.834286,0.86645] recall 0.853881 [0.891429,0.811075] recall 0.812785 [0.822857,0.801303] recall 0.824962 [0.811429,0.840391] recall 0.849315 [0.862857,0.833876] recall 0.814307 [0.814286,0.814332] recall 0.841705 [0.854286,0.827362] recall 0.832572 [0.86,0.801303] recall 0.841705 [0.842857,0.840391] recall 0.843227 [0.862857,0.820847] recall 0.844749 [0.86,0.827362] recall 0.828006 [0.811429,0.846906] recall 0.841705 [0.851429,0.830619] recall 0.853881 [0.874286,0.830619] recall 0.828006 [0.848571,0.80456] recall 0.829528 [0.851429,0.80456] recall 0.837139 [0.845714,0.827362] recall 0.856925 [0.857143,0.856678] recall 0.83105 [0.857143,0.801303] recall 0.803653 [0.828571,0.775244] recall 0.83105 [0.814286,0.850163] recall 0.838661 [0.831429,0.846906] recall 0.838661 [0.874286,0.798046] recall 0.849315 [0.842857,0.856678] recall 0.863014 [0.877143,0.846906] recall 0.83105 [0.842857,0.81759] recall 0.844749 [0.848571,0.840391] recall 0.828006 [0.831429,0.824104] recall 0.834094 [0.837143,0.830619] recall 0.841705 [0.885714,0.791531] recall 0.83105 [0.808571,0.856678] recall 0.844749 [0.885714,0.798046] recall 0.843227 [0.828571,0.859935] recall 0.850837 [0.877143,0.820847] recall 0.844749 [0.848571,0.840391] recall 0.826484 [0.857143,0.791531] recall 0.797565 [0.8,0.794788] recall 0.850837 [0.86,0.840391] recall 0.81583 [0.822857,0.807818] recall 0.81583 [0.865714,0.758958] recall 0.869102 [0.865714,0.872964] recall 0.824962 [0.84,0.807818] recall 0.838661 [0.857143,0.81759] recall 0.824962 [0.828571,0.820847] recall 0.837139 [0.831429,0.843648] recall 0.841705 [0.848571,0.833876] recall 0.826484 [0.845714,0.80456] recall 0.82344 [0.831429,0.814332] recall 0.824962 [0.857143,0.788274] relative_absolute_error 0.397613 relative_absolute_error 0.419462 relative_absolute_error 0.336315 relative_absolute_error 0.394757 relative_absolute_error 0.397834 relative_absolute_error 0.381293 relative_absolute_error 0.356451 relative_absolute_error 0.328551 relative_absolute_error 0.375949 relative_absolute_error 0.380084 relative_absolute_error 0.406486 relative_absolute_error 0.350826 relative_absolute_error 0.398147 relative_absolute_error 0.382991 relative_absolute_error 0.355863 relative_absolute_error 0.373477 relative_absolute_error 0.417656 relative_absolute_error 0.430501 relative_absolute_error 0.394894 relative_absolute_error 0.368601 relative_absolute_error 0.334416 relative_absolute_error 0.381051 relative_absolute_error 0.406091 relative_absolute_error 0.363844 relative_absolute_error 0.369116 relative_absolute_error 0.379972 relative_absolute_error 0.35742 relative_absolute_error 0.373261 relative_absolute_error 0.366537 relative_absolute_error 0.395599 relative_absolute_error 0.38216 relative_absolute_error 0.405219 relative_absolute_error 0.389853 relative_absolute_error 0.387495 relative_absolute_error 0.414211 relative_absolute_error 0.41686 relative_absolute_error 0.402187 relative_absolute_error 0.366562 relative_absolute_error 0.365208 relative_absolute_error 0.404242 relative_absolute_error 0.408107 relative_absolute_error 0.424614 relative_absolute_error 0.359803 relative_absolute_error 0.437786 relative_absolute_error 0.43257 relative_absolute_error 0.402932 relative_absolute_error 0.386849 relative_absolute_error 0.374767 relative_absolute_error 0.387397 relative_absolute_error 0.392986 relative_absolute_error 0.369938 relative_absolute_error 0.383715 relative_absolute_error 0.363465 relative_absolute_error 0.415776 relative_absolute_error 0.41548 relative_absolute_error 0.365756 relative_absolute_error 0.433573 relative_absolute_error 0.37094 relative_absolute_error 0.395096 relative_absolute_error 0.386459 relative_absolute_error 0.367284 relative_absolute_error 0.365665 relative_absolute_error 0.405653 relative_absolute_error 0.384509 relative_absolute_error 0.368041 relative_absolute_error 0.398147 relative_absolute_error 0.402143 relative_absolute_error 0.382939 relative_absolute_error 0.367305 relative_absolute_error 0.393852 relative_absolute_error 0.444529 relative_absolute_error 0.410736 relative_absolute_error 0.405522 relative_absolute_error 0.410101 relative_absolute_error 0.372222 relative_absolute_error 0.352771 relative_absolute_error 0.414382 relative_absolute_error 0.381192 relative_absolute_error 0.421755 relative_absolute_error 0.397507 relative_absolute_error 0.369574 relative_absolute_error 0.404514 relative_absolute_error 0.379684 relative_absolute_error 0.37601 relative_absolute_error 0.369839 relative_absolute_error 0.385619 relative_absolute_error 0.399694 relative_absolute_error 0.456709 relative_absolute_error 0.379672 relative_absolute_error 0.425663 relative_absolute_error 0.436711 relative_absolute_error 0.350007 relative_absolute_error 0.404437 relative_absolute_error 0.389733 relative_absolute_error 0.402892 relative_absolute_error 0.381275 relative_absolute_error 0.37372 relative_absolute_error 0.400209 relative_absolute_error 0.402209 relative_absolute_error 0.42819 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 0.362503 root_mean_squared_error 0.393136 root_mean_squared_error 0.354315 root_mean_squared_error 0.375416 root_mean_squared_error 0.385981 root_mean_squared_error 0.37332 root_mean_squared_error 0.351189 root_mean_squared_error 0.336655 root_mean_squared_error 0.37356 root_mean_squared_error 0.376393 root_mean_squared_error 0.395564 root_mean_squared_error 0.359254 root_mean_squared_error 0.382555 root_mean_squared_error 0.367787 root_mean_squared_error 0.366771 root_mean_squared_error 0.364791 root_mean_squared_error 0.394043 root_mean_squared_error 0.394742 root_mean_squared_error 0.389365 root_mean_squared_error 0.361774 root_mean_squared_error 0.347281 root_mean_squared_error 0.36287 root_mean_squared_error 0.380376 root_mean_squared_error 0.369535 root_mean_squared_error 0.368248 root_mean_squared_error 0.368452 root_mean_squared_error 0.368364 root_mean_squared_error 0.362592 root_mean_squared_error 0.362801 root_mean_squared_error 0.384071 root_mean_squared_error 0.363032 root_mean_squared_error 0.386292 root_mean_squared_error 0.375467 root_mean_squared_error 0.377463 root_mean_squared_error 0.381875 root_mean_squared_error 0.390009 root_mean_squared_error 0.391328 root_mean_squared_error 0.375557 root_mean_squared_error 0.36063 root_mean_squared_error 0.385995 root_mean_squared_error 0.381811 root_mean_squared_error 0.395717 root_mean_squared_error 0.372159 root_mean_squared_error 0.410176 root_mean_squared_error 0.413767 root_mean_squared_error 0.390853 root_mean_squared_error 0.376733 root_mean_squared_error 0.354157 root_mean_squared_error 0.380331 root_mean_squared_error 0.377946 root_mean_squared_error 0.369321 root_mean_squared_error 0.360149 root_mean_squared_error 0.349484 root_mean_squared_error 0.401572 root_mean_squared_error 0.390386 root_mean_squared_error 0.368136 root_mean_squared_error 0.39208 root_mean_squared_error 0.357041 root_mean_squared_error 0.386777 root_mean_squared_error 0.37387 root_mean_squared_error 0.371531 root_mean_squared_error 0.358436 root_mean_squared_error 0.398198 root_mean_squared_error 0.37082 root_mean_squared_error 0.356561 root_mean_squared_error 0.387336 root_mean_squared_error 0.389895 root_mean_squared_error 0.366879 root_mean_squared_error 0.347053 root_mean_squared_error 0.388539 root_mean_squared_error 0.408917 root_mean_squared_error 0.384166 root_mean_squared_error 0.375332 root_mean_squared_error 0.384054 root_mean_squared_error 0.364738 root_mean_squared_error 0.353529 root_mean_squared_error 0.379312 root_mean_squared_error 0.362323 root_mean_squared_error 0.393579 root_mean_squared_error 0.379592 root_mean_squared_error 0.361442 root_mean_squared_error 0.387377 root_mean_squared_error 0.37102 root_mean_squared_error 0.374282 root_mean_squared_error 0.364804 root_mean_squared_error 0.368185 root_mean_squared_error 0.390725 root_mean_squared_error 0.421236 root_mean_squared_error 0.361371 root_mean_squared_error 0.41069 root_mean_squared_error 0.403459 root_mean_squared_error 0.349108 root_mean_squared_error 0.378593 root_mean_squared_error 0.377077 root_mean_squared_error 0.384419 root_mean_squared_error 0.378274 root_mean_squared_error 0.365377 root_mean_squared_error 0.386302 root_mean_squared_error 0.386361 root_mean_squared_error 0.385619 root_relative_squared_error 0.72663 root_relative_squared_error 0.787877 root_relative_squared_error 0.710218 root_relative_squared_error 0.752365 root_relative_squared_error 0.773692 root_relative_squared_error 0.748314 root_relative_squared_error 0.703812 root_relative_squared_error 0.67482 root_relative_squared_error 0.748795 root_relative_squared_error 0.754474 root_relative_squared_error 0.792745 root_relative_squared_error 0.719975 root_relative_squared_error 0.766673 root_relative_squared_error 0.737077 root_relative_squared_error 0.735041 root_relative_squared_error 0.731072 root_relative_squared_error 0.789696 root_relative_squared_error 0.791098 root_relative_squared_error 0.78032 root_relative_squared_error 0.725026 root_relative_squared_error 0.695981 root_relative_squared_error 0.727222 root_relative_squared_error 0.762306 root_relative_squared_error 0.740579 root_relative_squared_error 0.738001 root_relative_squared_error 0.738409 root_relative_squared_error 0.738233 root_relative_squared_error 0.726666 root_relative_squared_error 0.727083 root_relative_squared_error 0.769712 root_relative_squared_error 0.727547 root_relative_squared_error 0.774317 root_relative_squared_error 0.752468 root_relative_squared_error 0.756618 root_relative_squared_error 0.765311 root_relative_squared_error 0.781611 root_relative_squared_error 0.784411 root_relative_squared_error 0.752647 root_relative_squared_error 0.722732 root_relative_squared_error 0.773567 root_relative_squared_error 0.765263 root_relative_squared_error 0.793135 root_relative_squared_error 0.745917 root_relative_squared_error 0.822116 root_relative_squared_error 0.829312 root_relative_squared_error 0.783387 root_relative_squared_error 0.755085 root_relative_squared_error 0.709836 root_relative_squared_error 0.762296 root_relative_squared_error 0.757515 root_relative_squared_error 0.740229 root_relative_squared_error 0.721846 root_relative_squared_error 0.700469 root_relative_squared_error 0.804869 root_relative_squared_error 0.78245 root_relative_squared_error 0.737854 root_relative_squared_error 0.785846 root_relative_squared_error 0.715616 root_relative_squared_error 0.775217 root_relative_squared_error 0.749347 root_relative_squared_error 0.744659 root_relative_squared_error 0.718412 root_relative_squared_error 0.798107 root_relative_squared_error 0.743234 root_relative_squared_error 0.714654 root_relative_squared_error 0.776336 root_relative_squared_error 0.781465 root_relative_squared_error 0.735334 root_relative_squared_error 0.695598 root_relative_squared_error 0.778748 root_relative_squared_error 0.819592 root_relative_squared_error 0.769984 root_relative_squared_error 0.752276 root_relative_squared_error 0.769759 root_relative_squared_error 0.731043 root_relative_squared_error 0.708578 root_relative_squared_error 0.760254 root_relative_squared_error 0.726202 root_relative_squared_error 0.78885 root_relative_squared_error 0.760816 root_relative_squared_error 0.724438 root_relative_squared_error 0.776419 root_relative_squared_error 0.743634 root_relative_squared_error 0.750171 root_relative_squared_error 0.731176 root_relative_squared_error 0.737952 root_relative_squared_error 0.783129 root_relative_squared_error 0.844281 root_relative_squared_error 0.724294 root_relative_squared_error 0.823145 root_relative_squared_error 0.808652 root_relative_squared_error 0.699717 root_relative_squared_error 0.758813 root_relative_squared_error 0.755774 root_relative_squared_error 0.770489 root_relative_squared_error 0.758174 root_relative_squared_error 0.732324 root_relative_squared_error 0.774263 root_relative_squared_error 0.774383 root_relative_squared_error 0.772896 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 260 usercpu_time_millis 310 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 270 usercpu_time_millis 300 usercpu_time_millis 280 usercpu_time_millis 330 usercpu_time_millis 310 usercpu_time_millis 300 usercpu_time_millis 340 usercpu_time_millis 280 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 270 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 280 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 280 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 310 usercpu_time_millis 310 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 320 usercpu_time_millis 290 usercpu_time_millis 310 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 310 usercpu_time_millis 310 usercpu_time_millis 310 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 300 usercpu_time_millis 320 usercpu_time_millis 300 usercpu_time_millis 260 usercpu_time_millis 310 usercpu_time_millis 270 usercpu_time_millis 310 usercpu_time_millis 270 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 300 usercpu_time_millis 300 usercpu_time_millis 280 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 290 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 270 usercpu_time_millis 300 usercpu_time_millis 290 usercpu_time_millis 270 usercpu_time_millis 320 usercpu_time_millis 270 usercpu_time_millis 310 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 280 usercpu_time_millis 280 usercpu_time_millis 330 usercpu_time_millis 290 usercpu_time_millis 290 usercpu_time_millis 270 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 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 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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