474983 2 Joaquin Vanschoren 4417 Supervised Classification predictive_accuracy 1199 weka.ADTree(4) 2069 weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1 B 10 1199 E -3 1199 S 1 1199 weka weka_3.7.12 847 wind https://www.openml.org/data/download/53381/wind.arff -1 1672409 description https://api.openml.org/data/download/1672409/weka_generated_run4859701286375343885.xml -1 1672411 model_readable https://api.openml.org/data/download/1672411/WekaModel_weka.classifiers.trees.ADTree7464049021288563490.model -1 1672410 model_serialized https://api.openml.org/data/download/1672410/WekaSerialized_weka.classifiers.trees.ADTree110354362352250309.model -1 1672412 predictions https://api.openml.org/data/download/1672412/weka_generated_predictions6132514785040470337.arff area_under_roc_curve 0.92151 [0.92151,0.92151] average_cost 0 f_measure 0.838219 [0.849877,0.824937] kappa 0.674858 kb_relative_information_score 30456.980003 mean_absolute_error 0.287356 mean_prior_absolute_error 0.497881 number_of_instances 65740 [35010,30730] os_information [Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64] precision 0.838301 [0.840825,0.835424] predictive_accuracy 0.838363 prior_entropy 0.996942 recall 0.838363 [0.859126,0.814709] relative_absolute_error 0.577157 root_mean_prior_squared_error 0.498939 root_mean_squared_error 0.348041 root_relative_squared_error 0.697563 scimark_benchmark 972.586993 [419.2886307640307, 926.6434455956115, 329.87458870932386, 607.3772032594626, 2579.7510947695596] total_cost 0 usercpu_time_millis 930 usercpu_time_millis_testing 10 usercpu_time_millis_training 920 area_under_roc_curve 0.920246 [0.920246,0.920246] area_under_roc_curve 0.922069 [0.922069,0.922069] area_under_roc_curve 0.921072 [0.921072,0.921072] area_under_roc_curve 0.9241 [0.9241,0.9241] area_under_roc_curve 0.919096 [0.919096,0.919096] area_under_roc_curve 0.931591 [0.931591,0.931591] area_under_roc_curve 0.946122 [0.946122,0.946122] area_under_roc_curve 0.931499 [0.931499,0.931499] area_under_roc_curve 0.923954 [0.923954,0.923954] area_under_roc_curve 0.91839 [0.91839,0.91839] area_under_roc_curve 0.909865 [0.909865,0.909865] area_under_roc_curve 0.927347 [0.927347,0.927347] area_under_roc_curve 0.913942 [0.913942,0.913942] area_under_roc_curve 0.917314 [0.917314,0.917314] area_under_roc_curve 0.943878 [0.943878,0.943878] area_under_roc_curve 0.920886 [0.920886,0.920886] area_under_roc_curve 0.92494 [0.92494,0.92494] area_under_roc_curve 0.906976 [0.906976,0.906976] area_under_roc_curve 0.92757 [0.92757,0.92757] area_under_roc_curve 0.92212 [0.92212,0.92212] area_under_roc_curve 0.943817 [0.943817,0.943817] area_under_roc_curve 0.9218 [0.9218,0.9218] area_under_roc_curve 0.911605 [0.911605,0.911605] area_under_roc_curve 0.933952 [0.933952,0.933952] area_under_roc_curve 0.93301 [0.93301,0.93301] area_under_roc_curve 0.918265 [0.918265,0.918265] area_under_roc_curve 0.919884 [0.919884,0.919884] area_under_roc_curve 0.932175 [0.932175,0.932175] area_under_roc_curve 0.928307 [0.928307,0.928307] area_under_roc_curve 0.927574 [0.927574,0.927574] area_under_roc_curve 0.920102 [0.920102,0.920102] area_under_roc_curve 0.925081 [0.925081,0.925081] area_under_roc_curve 0.919295 [0.919295,0.919295] area_under_roc_curve 0.917258 [0.917258,0.917258] area_under_roc_curve 0.923163 [0.923163,0.923163] area_under_roc_curve 0.908599 [0.908599,0.908599] area_under_roc_curve 0.923597 [0.923597,0.923597] area_under_roc_curve 0.926512 [0.926512,0.926512] area_under_roc_curve 0.926127 [0.926127,0.926127] area_under_roc_curve 0.927519 [0.927519,0.927519] area_under_roc_curve 0.916696 [0.916696,0.916696] area_under_roc_curve 0.890903 [0.890903,0.890903] area_under_roc_curve 0.929744 [0.929744,0.929744] area_under_roc_curve 0.898809 [0.898809,0.898809] area_under_roc_curve 0.91121 [0.91121,0.91121] area_under_roc_curve 0.912727 [0.912727,0.912727] area_under_roc_curve 0.925482 [0.925482,0.925482] area_under_roc_curve 0.926338 [0.926338,0.926338] area_under_roc_curve 0.925668 [0.925668,0.925668] area_under_roc_curve 0.932839 [0.932839,0.932839] area_under_roc_curve 0.926808 [0.926808,0.926808] area_under_roc_curve 0.931377 [0.931377,0.931377] area_under_roc_curve 0.938818 [0.938818,0.938818] area_under_roc_curve 0.924397 [0.924397,0.924397] area_under_roc_curve 0.917222 [0.917222,0.917222] area_under_roc_curve 0.928916 [0.928916,0.928916] area_under_roc_curve 0.901238 [0.901238,0.901238] area_under_roc_curve 0.929116 [0.929116,0.929116] area_under_roc_curve 0.914802 [0.914802,0.914802] area_under_roc_curve 0.910437 [0.910437,0.910437] area_under_roc_curve 0.929376 [0.929376,0.929376] area_under_roc_curve 0.930214 [0.930214,0.930214] area_under_roc_curve 0.925216 [0.925216,0.925216] area_under_roc_curve 0.920447 [0.920447,0.920447] area_under_roc_curve 0.925319 [0.925319,0.925319] area_under_roc_curve 0.918697 [0.918697,0.918697] area_under_roc_curve 0.909125 [0.909125,0.909125] area_under_roc_curve 0.938669 [0.938669,0.938669] area_under_roc_curve 0.913518 [0.913518,0.913518] area_under_roc_curve 0.91241 [0.91241,0.91241] area_under_roc_curve 0.916366 [0.916366,0.916366] area_under_roc_curve 0.910968 [0.910968,0.910968] area_under_roc_curve 0.908571 [0.908571,0.908571] area_under_roc_curve 0.916212 [0.916212,0.916212] area_under_roc_curve 0.904146 [0.904146,0.904146] area_under_roc_curve 0.934328 [0.934328,0.934328] area_under_roc_curve 0.922187 [0.922187,0.922187] area_under_roc_curve 0.928539 [0.928539,0.928539] area_under_roc_curve 0.906659 [0.906659,0.906659] area_under_roc_curve 0.920554 [0.920554,0.920554] area_under_roc_curve 0.921121 [0.921121,0.921121] area_under_roc_curve 0.926166 [0.926166,0.926166] area_under_roc_curve 0.93006 [0.93006,0.93006] area_under_roc_curve 0.936515 [0.936515,0.936515] area_under_roc_curve 0.920289 [0.920289,0.920289] area_under_roc_curve 0.912983 [0.912983,0.912983] area_under_roc_curve 0.910275 [0.910275,0.910275] area_under_roc_curve 0.887189 [0.887189,0.887189] area_under_roc_curve 0.918371 [0.918371,0.918371] area_under_roc_curve 0.914174 [0.914174,0.914174] area_under_roc_curve 0.907417 [0.907417,0.907417] area_under_roc_curve 0.925793 [0.925793,0.925793] area_under_roc_curve 0.910935 [0.910935,0.910935] area_under_roc_curve 0.927329 [0.927329,0.927329] area_under_roc_curve 0.925845 [0.925845,0.925845] area_under_roc_curve 0.925603 [0.925603,0.925603] area_under_roc_curve 0.92383 [0.92383,0.92383] area_under_roc_curve 0.911787 [0.911787,0.911787] area_under_roc_curve 0.90288 [0.90288,0.90288] area_under_roc_curve 0.91597 [0.91597,0.91597] 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 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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 f_measure 0.846617 [0.854257,0.837881] f_measure 0.837006 [0.850767,0.821369] f_measure 0.840498 [0.849354,0.830372] f_measure 0.843154 [0.855944,0.828619] f_measure 0.843376 [0.854314,0.83087] f_measure 0.846289 [0.858345,0.832504] f_measure 0.873609 [0.883916,0.861897] f_measure 0.855104 [0.868966,0.839255] f_measure 0.849285 [0.861538,0.835275] f_measure 0.823671 [0.835227,0.810458] f_measure 0.818904 [0.83263,0.803306] f_measure 0.848078 [0.856322,0.83871] f_measure 0.818661 [0.834492,0.80067] f_measure 0.823819 [0.83237,0.814103] f_measure 0.873848 [0.881598,0.865041] f_measure 0.842712 [0.858711,0.824532] f_measure 0.844841 [0.855932,0.832237] f_measure 0.809773 [0.824191,0.793388] f_measure 0.834071 [0.847125,0.819237] f_measure 0.837552 [0.842415,0.832025] f_measure 0.857143 [0.865714,0.847403] f_measure 0.837571 [0.857143,0.815331] f_measure 0.829008 [0.846154,0.809524] f_measure 0.866234 [0.874644,0.856678] f_measure 0.85988 [0.871508,0.846667] f_measure 0.824689 [0.840499,0.806723] f_measure 0.843507 [0.852224,0.833603] f_measure 0.846199 [0.858741,0.831947] f_measure 0.833626 [0.850069,0.814941] f_measure 0.853624 [0.867036,0.838384] f_measure 0.850839 [0.86236,0.837748] f_measure 0.834421 [0.843615,0.82391] f_measure 0.82678 [0.836676,0.815534] f_measure 0.828077 [0.841069,0.813223] f_measure 0.833549 [0.85048,0.81431] f_measure 0.834295 [0.84495,0.822186] f_measure 0.843335 [0.854725,0.830313] f_measure 0.841913 [0.851852,0.830619] f_measure 0.84338 [0.853901,0.831424] f_measure 0.84338 [0.853901,0.831424] f_measure 0.827714 [0.841515,0.81198] f_measure 0.805343 [0.813953,0.795527] f_measure 0.844829 [0.853026,0.835484] f_measure 0.811956 [0.830812,0.79046] f_measure 0.813898 [0.829609,0.795987] f_measure 0.817126 [0.830986,0.801325] f_measure 0.830866 [0.843441,0.816529] f_measure 0.853609 [0.865546,0.84] f_measure 0.844351 [0.857939,0.828859] f_measure 0.864306 [0.875175,0.851913] f_measure 0.835701 [0.84438,0.825806] f_measure 0.853957 [0.861671,0.845161] f_measure 0.862954 [0.872159,0.852459] f_measure 0.843176 [0.853485,0.831424] f_measure 0.81747 [0.82659,0.807074] f_measure 0.852344 [0.861626,0.841762] f_measure 0.805343 [0.813953,0.795527] f_measure 0.84339 [0.847407,0.838811] f_measure 0.826484 [0.837143,0.814332] f_measure 0.81103 [0.825352,0.794702] f_measure 0.84446 [0.857143,0.83] f_measure 0.841808 [0.849711,0.832797] f_measure 0.855444 [0.863702,0.846029] f_measure 0.845788 [0.859917,0.82968] f_measure 0.846936 [0.863388,0.828179] f_measure 0.8394 [0.855967,0.820513] f_measure 0.830866 [0.843441,0.816529] f_measure 0.869045 [0.877841,0.859016] f_measure 0.835723 [0.843931,0.826367] f_measure 0.812405 [0.827972,0.794658] f_measure 0.841735 [0.851003,0.831169] f_measure 0.809722 [0.821683,0.796085] f_measure 0.832203 [0.846369,0.816054] f_measure 0.844805 [0.853448,0.834951] f_measure 0.826648 [0.833819,0.818471] f_measure 0.849106 [0.860759,0.835821] f_measure 0.845848 [0.859527,0.830252] f_measure 0.867311 [0.878322,0.854758] f_measure 0.825086 [0.833575,0.815409] f_measure 0.831869 [0.848485,0.812925] f_measure 0.853781 [0.864023,0.842105] f_measure 0.847345 [0.861111,0.83165] f_measure 0.84601 [0.858345,0.831947] f_measure 0.859908 [0.869318,0.84918] f_measure 0.847402 [0.860724,0.832215] f_measure 0.832681 [0.84104,0.823151] f_measure 0.833638 [0.848401,0.816807] f_measure 0.792857 [0.807365,0.776316] f_measure 0.834111 [0.844063,0.822764] f_measure 0.834212 [0.842258,0.82504] f_measure 0.830866 [0.843441,0.816529] f_measure 0.852493 [0.858806,0.845295] f_measure 0.820461 [0.83046,0.809061] f_measure 0.844681 [0.855114,0.832787] f_measure 0.841808 [0.849711,0.832797] f_measure 0.843139 [0.853901,0.83087] f_measure 0.838305 [0.851955,0.822742] f_measure 0.827596 [0.842399,0.81072] f_measure 0.806831 [0.829268,0.78125] f_measure 0.822849 [0.839335,0.804054] kappa 0.692196 kappa 0.672357 kappa 0.679745 kappa 0.684728 kappa 0.685203 kappa 0.690936 kappa 0.745946 kappa 0.708581 kappa 0.696932 kappa 0.645688 kappa 0.636038 kappa 0.695043 kappa 0.635469 kappa 0.646525 kappa 0.746639 kappa 0.683863 kappa 0.688215 kappa 0.617687 kappa 0.666493 kappa 0.674772 kappa 0.713117 kappa 0.673825 kappa 0.656307 kappa 0.731324 kappa 0.718343 kappa 0.647584 kappa 0.685833 kappa 0.69085 kappa 0.665579 kappa 0.705752 kappa 0.700208 kappa 0.667544 kappa 0.652213 kappa 0.654357 kappa 0.665448 kappa 0.667143 kappa 0.685074 kappa 0.682474 kappa 0.685343 kappa 0.685343 kappa 0.653631 kappa 0.609611 kappa 0.688536 kappa 0.621917 kappa 0.625819 kappa 0.632396 kappa 0.660035 kappa 0.705681 kappa 0.687035 kappa 0.727196 kappa 0.670214 kappa 0.706857 kappa 0.724628 kappa 0.684916 kappa 0.633718 kappa 0.703389 kappa 0.609611 kappa 0.686672 kappa 0.651475 kappa 0.620143 kappa 0.687286 kappa 0.682556 kappa 0.709737 kappa 0.689916 kappa 0.692306 kappa 0.677117 kappa 0.660035 kappa 0.736867 kappa 0.670346 kappa 0.622828 kappa 0.682175 kappa 0.617769 kappa 0.662624 kappa 0.688411 kappa 0.652449 kappa 0.696666 kappa 0.690041 kappa 0.73322 kappa 0.64905 kappa 0.661945 kappa 0.706153 kappa 0.693048 kappa 0.690414 kappa 0.718509 kappa 0.693171 kappa 0.664242 kappa 0.66549 kappa 0.583716 kappa 0.666828 kappa 0.66736 kappa 0.660035 kappa 0.704218 kappa 0.639535 kappa 0.687912 kappa 0.682556 kappa 0.684789 kappa 0.674892 kappa 0.653353 kappa 0.611837 kappa 0.643793 kb_relative_information_score 304.695064 kb_relative_information_score 295.290731 kb_relative_information_score 302.007858 kb_relative_information_score 306.359709 kb_relative_information_score 310.759441 kb_relative_information_score 317.535418 kb_relative_information_score 326.883476 kb_relative_information_score 314.446531 kb_relative_information_score 306.831805 kb_relative_information_score 300.012573 kb_relative_information_score 293.886049 kb_relative_information_score 314.158149 kb_relative_information_score 298.19045 kb_relative_information_score 311.999114 kb_relative_information_score 328.499376 kb_relative_information_score 297.009101 kb_relative_information_score 319.927842 kb_relative_information_score 277.965885 kb_relative_information_score 314.85512 kb_relative_information_score 317.867479 kb_relative_information_score 319.496042 kb_relative_information_score 299.089482 kb_relative_information_score 301.723886 kb_relative_information_score 322.904434 kb_relative_information_score 314.435928 kb_relative_information_score 311.755863 kb_relative_information_score 308.464728 kb_relative_information_score 318.979212 kb_relative_information_score 313.891777 kb_relative_information_score 314.114206 kb_relative_information_score 299.260097 kb_relative_information_score 299.535721 kb_relative_information_score 294.221191 kb_relative_information_score 307.000827 kb_relative_information_score 302.671984 kb_relative_information_score 298.466075 kb_relative_information_score 306.844241 kb_relative_information_score 311.68479 kb_relative_information_score 312.369128 kb_relative_information_score 308.351181 kb_relative_information_score 296.678085 kb_relative_information_score 281.43525 kb_relative_information_score 307.671156 kb_relative_information_score 284.971487 kb_relative_information_score 288.753505 kb_relative_information_score 293.109145 kb_relative_information_score 299.801203 kb_relative_information_score 318.904714 kb_relative_information_score 304.348197 kb_relative_information_score 310.655536 kb_relative_information_score 310.802073 kb_relative_information_score 324.891145 kb_relative_information_score 313.155917 kb_relative_information_score 308.915796 kb_relative_information_score 299.577303 kb_relative_information_score 310.14401 kb_relative_information_score 286.385734 kb_relative_information_score 314.515554 kb_relative_information_score 300.29344 kb_relative_information_score 297.061046 kb_relative_information_score 314.23115 kb_relative_information_score 316.40378 kb_relative_information_score 306.366422 kb_relative_information_score 305.54167 kb_relative_information_score 303.172794 kb_relative_information_score 303.250813 kb_relative_information_score 293.373312 kb_relative_information_score 312.271633 kb_relative_information_score 299.946998 kb_relative_information_score 289.432111 kb_relative_information_score 302.616935 kb_relative_information_score 292.52869 kb_relative_information_score 293.974554 kb_relative_information_score 289.539809 kb_relative_information_score 284.966359 kb_relative_information_score 312.553619 kb_relative_information_score 306.493646 kb_relative_information_score 316.261512 kb_relative_information_score 292.557218 kb_relative_information_score 295.947418 kb_relative_information_score 312.547585 kb_relative_information_score 304.318958 kb_relative_information_score 319.868816 kb_relative_information_score 323.063055 kb_relative_information_score 311.625369 kb_relative_information_score 297.326602 kb_relative_information_score 301.93468 kb_relative_information_score 271.013133 kb_relative_information_score 306.840521 kb_relative_information_score 300.843921 kb_relative_information_score 292.279108 kb_relative_information_score 322.904383 kb_relative_information_score 296.511616 kb_relative_information_score 306.12543 kb_relative_information_score 297.275637 kb_relative_information_score 305.140757 kb_relative_information_score 302.89498 kb_relative_information_score 293.180668 kb_relative_information_score 284.57094 kb_relative_information_score 298.771138 mean_absolute_error 0.287646 mean_absolute_error 0.295017 mean_absolute_error 0.289643 mean_absolute_error 0.287158 mean_absolute_error 0.282458 mean_absolute_error 0.27854 mean_absolute_error 0.27343 mean_absolute_error 0.282185 mean_absolute_error 0.287048 mean_absolute_error 0.290314 mean_absolute_error 0.295558 mean_absolute_error 0.279454 mean_absolute_error 0.292058 mean_absolute_error 0.280376 mean_absolute_error 0.271566 mean_absolute_error 0.294128 mean_absolute_error 0.276265 mean_absolute_error 0.307289 mean_absolute_error 0.279585 mean_absolute_error 0.276626 mean_absolute_error 0.278444 mean_absolute_error 0.291629 mean_absolute_error 0.289356 mean_absolute_error 0.274584 mean_absolute_error 0.28126 mean_absolute_error 0.280788 mean_absolute_error 0.284008 mean_absolute_error 0.277221 mean_absolute_error 0.280504 mean_absolute_error 0.281044 mean_absolute_error 0.292229 mean_absolute_error 0.291947 mean_absolute_error 0.29497 mean_absolute_error 0.284626 mean_absolute_error 0.289308 mean_absolute_error 0.291768 mean_absolute_error 0.286133 mean_absolute_error 0.281743 mean_absolute_error 0.281841 mean_absolute_error 0.286034 mean_absolute_error 0.292406 mean_absolute_error 0.302547 mean_absolute_error 0.285357 mean_absolute_error 0.300109 mean_absolute_error 0.298175 mean_absolute_error 0.294513 mean_absolute_error 0.290919 mean_absolute_error 0.277764 mean_absolute_error 0.288609 mean_absolute_error 0.284481 mean_absolute_error 0.282053 mean_absolute_error 0.272764 mean_absolute_error 0.282878 mean_absolute_error 0.284433 mean_absolute_error 0.28989 mean_absolute_error 0.283654 mean_absolute_error 0.298006 mean_absolute_error 0.279503 mean_absolute_error 0.288902 mean_absolute_error 0.291144 mean_absolute_error 0.279932 mean_absolute_error 0.27837 mean_absolute_error 0.286138 mean_absolute_error 0.285886 mean_absolute_error 0.289496 mean_absolute_error 0.287686 mean_absolute_error 0.294689 mean_absolute_error 0.283559 mean_absolute_error 0.289912 mean_absolute_error 0.297685 mean_absolute_error 0.287912 mean_absolute_error 0.294708 mean_absolute_error 0.29504 mean_absolute_error 0.298668 mean_absolute_error 0.300979 mean_absolute_error 0.282514 mean_absolute_error 0.285913 mean_absolute_error 0.279665 mean_absolute_error 0.295777 mean_absolute_error 0.293735 mean_absolute_error 0.281526 mean_absolute_error 0.288268 mean_absolute_error 0.277007 mean_absolute_error 0.275164 mean_absolute_error 0.281547 mean_absolute_error 0.292263 mean_absolute_error 0.288885 mean_absolute_error 0.310214 mean_absolute_error 0.285138 mean_absolute_error 0.289114 mean_absolute_error 0.295596 mean_absolute_error 0.273133 mean_absolute_error 0.291531 mean_absolute_error 0.286719 mean_absolute_error 0.293993 mean_absolute_error 0.287693 mean_absolute_error 0.288881 mean_absolute_error 0.295583 mean_absolute_error 0.300543 mean_absolute_error 0.290773 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 0.847045 [0.865497,0.825949] precision 0.837755 [0.831063,0.845361] precision 0.840667 [0.855491,0.823718] precision 0.843727 [0.838356,0.849829] precision 0.843385 [0.848315,0.837748] precision 0.846549 [0.845304,0.847973] precision 0.874275 [0.865753,0.883959] precision 0.856706 [0.842246,0.873239] precision 0.849694 [0.846154,0.853741] precision 0.823648 [0.832861,0.813115] precision 0.819119 [0.819945,0.818182] precision 0.848194 [0.861272,0.833333] precision 0.819553 [0.813008,0.82699] precision 0.824174 [0.842105,0.803797] precision 0.873839 [0.880342,0.86645] precision 0.845295 [0.825858,0.867384] precision 0.844948 [0.846369,0.843333] precision 0.809971 [0.811634,0.808081] precision 0.834452 [0.831956,0.837288] precision 0.839423 [0.869301,0.805471] precision 0.857143 [0.865714,0.847403] precision 0.843277 [0.811224,0.879699] precision 0.831284 [0.814815,0.85] precision 0.866223 [0.872159,0.859477] precision 0.860606 [0.852459,0.869863] precision 0.825851 [0.816712,0.836237] precision 0.843585 [0.855908,0.829582] precision 0.846781 [0.841096,0.853242] precision 0.835761 [0.819629,0.854093] precision 0.855081 [0.841398,0.870629] precision 0.851185 [0.848066,0.85473] precision 0.834593 [0.849711,0.817308] precision 0.826827 [0.83908,0.812903] precision 0.828198 [0.830556,0.825503] precision 0.836052 [0.817942,0.856631] precision 0.834278 [0.84136,0.82623] precision 0.843397 [0.846369,0.84] precision 0.841896 [0.849432,0.833333] precision 0.843392 [0.847887,0.838284] precision 0.843392 [0.847887,0.838284] precision 0.828075 [0.826446,0.829932] precision 0.806049 [0.828402,0.780564] precision 0.84505 [0.860465,0.827476] precision 0.813916 [0.801061,0.828571] precision 0.814463 [0.811475,0.817869] precision 0.817281 [0.819444,0.814815] precision 0.830995 [0.832869,0.828859] precision 0.854119 [0.848901,0.860068] precision 0.845234 [0.836957,0.854671] precision 0.864758 [0.859504,0.870748] precision 0.835926 [0.851744,0.817891] precision 0.854175 [0.869186,0.837061] precision 0.862958 [0.867232,0.858086] precision 0.843161 [0.849858,0.835526] precision 0.817832 [0.836257,0.796825] precision 0.852333 [0.860399,0.843137] precision 0.806049 [0.828402,0.780564] precision 0.845996 [0.88,0.807229] precision 0.826484 [0.837143,0.814332] precision 0.811175 [0.813889,0.808081] precision 0.844944 [0.840659,0.849829] precision 0.84216 [0.859649,0.822222] precision 0.85552 [0.867435,0.841935] precision 0.847056 [0.83558,0.86014] precision 0.850186 [0.827225,0.876364] precision 0.841952 [0.823219,0.863309] precision 0.830995 [0.832869,0.828859] precision 0.869052 [0.872881,0.864686] precision 0.836078 [0.853801,0.815873] precision 0.812879 [0.810959,0.815068] precision 0.841781 [0.853448,0.828479] precision 0.809706 [0.820513,0.797386] precision 0.832831 [0.827869,0.838488] precision 0.844924 [0.858382,0.829582] precision 0.827562 [0.85119,0.800623] precision 0.849377 [0.847645,0.851351] precision 0.846856 [0.837398,0.857639] precision 0.867955 [0.860274,0.876712] precision 0.825521 [0.844575,0.803797] precision 0.833814 [0.819149,0.850534] precision 0.853824 [0.856742,0.850498] precision 0.848487 [0.837838,0.860627] precision 0.846417 [0.842975,0.85034] precision 0.859911 [0.864407,0.854785] precision 0.848299 [0.839674,0.858131] precision 0.833037 [0.850877,0.812698] precision 0.834592 [0.826558,0.84375] precision 0.792848 [0.800562,0.784053] precision 0.834131 [0.845272,0.821429] precision 0.834643 [0.853372,0.813291] precision 0.830995 [0.832869,0.828859] precision 0.853294 [0.875371,0.828125] precision 0.820587 [0.83526,0.803859] precision 0.844676 [0.850282,0.838284] precision 0.84216 [0.859649,0.822222] precision 0.84315 [0.847887,0.837748] precision 0.838953 [0.833333,0.845361] precision 0.828306 [0.822888,0.834483] precision 0.810982 [0.78866,0.836431] precision 0.824129 [0.814516,0.835088] predictive_accuracy 0.846505 predictive_accuracy 0.837386 predictive_accuracy 0.840426 predictive_accuracy 0.843465 predictive_accuracy 0.843465 predictive_accuracy 0.846505 predictive_accuracy 0.87386 predictive_accuracy 0.855623 predictive_accuracy 0.849544 predictive_accuracy 0.823708 predictive_accuracy 0.819149 predictive_accuracy 0.848024 predictive_accuracy 0.819149 predictive_accuracy 0.823708 predictive_accuracy 0.87386 predictive_accuracy 0.843465 predictive_accuracy 0.844985 predictive_accuracy 0.81003 predictive_accuracy 0.834347 predictive_accuracy 0.837386 predictive_accuracy 0.857143 predictive_accuracy 0.838906 predictive_accuracy 0.829787 predictive_accuracy 0.866261 predictive_accuracy 0.860182 predictive_accuracy 0.825228 predictive_accuracy 0.843465 predictive_accuracy 0.846505 predictive_accuracy 0.834347 predictive_accuracy 0.854103 predictive_accuracy 0.851064 predictive_accuracy 0.834347 predictive_accuracy 0.826748 predictive_accuracy 0.828267 predictive_accuracy 0.834347 predictive_accuracy 0.834347 predictive_accuracy 0.843465 predictive_accuracy 0.841945 predictive_accuracy 0.843465 predictive_accuracy 0.843465 predictive_accuracy 0.828006 predictive_accuracy 0.805175 predictive_accuracy 0.844749 predictive_accuracy 0.812785 predictive_accuracy 0.814307 predictive_accuracy 0.817352 predictive_accuracy 0.83105 predictive_accuracy 0.853881 predictive_accuracy 0.844749 predictive_accuracy 0.864536 predictive_accuracy 0.835616 predictive_accuracy 0.853881 predictive_accuracy 0.863014 predictive_accuracy 0.843227 predictive_accuracy 0.817352 predictive_accuracy 0.852359 predictive_accuracy 0.805175 predictive_accuracy 0.843227 predictive_accuracy 0.826484 predictive_accuracy 0.811263 predictive_accuracy 0.844749 predictive_accuracy 0.841705 predictive_accuracy 0.855403 predictive_accuracy 0.846271 predictive_accuracy 0.847793 predictive_accuracy 0.840183 predictive_accuracy 0.83105 predictive_accuracy 0.869102 predictive_accuracy 0.835616 predictive_accuracy 0.812785 predictive_accuracy 0.841705 predictive_accuracy 0.809741 predictive_accuracy 0.832572 predictive_accuracy 0.844749 predictive_accuracy 0.826484 predictive_accuracy 0.849315 predictive_accuracy 0.846271 predictive_accuracy 0.86758 predictive_accuracy 0.824962 predictive_accuracy 0.832572 predictive_accuracy 0.853881 predictive_accuracy 0.847793 predictive_accuracy 0.846271 predictive_accuracy 0.85997 predictive_accuracy 0.847793 predictive_accuracy 0.832572 predictive_accuracy 0.834094 predictive_accuracy 0.792998 predictive_accuracy 0.834094 predictive_accuracy 0.834094 predictive_accuracy 0.83105 predictive_accuracy 0.852359 predictive_accuracy 0.820396 predictive_accuracy 0.844749 predictive_accuracy 0.841705 predictive_accuracy 0.843227 predictive_accuracy 0.838661 predictive_accuracy 0.828006 predictive_accuracy 0.808219 predictive_accuracy 0.82344 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 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 0.846505 [0.843305,0.850163] recall 0.837386 [0.871429,0.798701] recall 0.840426 [0.843305,0.837134] recall 0.843465 [0.874286,0.808442] recall 0.843465 [0.860399,0.824104] recall 0.846505 [0.871795,0.81759] recall 0.87386 [0.902857,0.840909] recall 0.855623 [0.897436,0.807818] recall 0.849544 [0.877493,0.81759] recall 0.823708 [0.837607,0.807818] recall 0.819149 [0.845714,0.788961] recall 0.848024 [0.851429,0.844156] recall 0.819149 [0.857143,0.775974] recall 0.823708 [0.822857,0.824675] recall 0.87386 [0.882857,0.863636] recall 0.843465 [0.894286,0.785714] recall 0.844985 [0.865714,0.821429] recall 0.81003 [0.837143,0.779221] recall 0.834347 [0.862857,0.801948] recall 0.837386 [0.817143,0.86039] recall 0.857143 [0.865714,0.847403] recall 0.838906 [0.908571,0.75974] recall 0.829787 [0.88,0.772727] recall 0.866261 [0.877143,0.853896] recall 0.860182 [0.891429,0.824675] recall 0.825228 [0.865714,0.779221] recall 0.843465 [0.848571,0.837662] recall 0.846505 [0.877143,0.811688] recall 0.834347 [0.882857,0.779221] recall 0.854103 [0.894286,0.808442] recall 0.851064 [0.877143,0.821429] recall 0.834347 [0.837607,0.830619] recall 0.826748 [0.834286,0.818182] recall 0.828267 [0.851852,0.801303] recall 0.834347 [0.885714,0.775974] recall 0.834347 [0.848571,0.818182] recall 0.843465 [0.863248,0.820847] recall 0.841945 [0.854286,0.827922] recall 0.843465 [0.86,0.824675] recall 0.843465 [0.86,0.824675] recall 0.828006 [0.857143,0.794788] recall 0.805175 [0.8,0.811075] recall 0.844749 [0.845714,0.843648] recall 0.812785 [0.862857,0.7557] recall 0.814307 [0.848571,0.775244] recall 0.817352 [0.842857,0.788274] recall 0.83105 [0.854286,0.80456] recall 0.853881 [0.882857,0.820847] recall 0.844749 [0.88,0.80456] recall 0.864536 [0.891429,0.833876] recall 0.835616 [0.837143,0.833876] recall 0.853881 [0.854286,0.85342] recall 0.863014 [0.877143,0.846906] recall 0.843227 [0.857143,0.827362] recall 0.817352 [0.817143,0.81759] recall 0.852359 [0.862857,0.840391] recall 0.805175 [0.8,0.811075] recall 0.843227 [0.817143,0.872964] recall 0.826484 [0.837143,0.814332] recall 0.811263 [0.837143,0.781759] recall 0.844749 [0.874286,0.811075] recall 0.841705 [0.84,0.843648] recall 0.855403 [0.86,0.850163] recall 0.846271 [0.885714,0.801303] recall 0.847793 [0.902857,0.785016] recall 0.840183 [0.891429,0.781759] recall 0.83105 [0.854286,0.80456] recall 0.869102 [0.882857,0.85342] recall 0.835616 [0.834286,0.837134] recall 0.812785 [0.845714,0.775244] recall 0.841705 [0.848571,0.833876] recall 0.809741 [0.822857,0.794788] recall 0.832572 [0.865714,0.794788] recall 0.844749 [0.848571,0.840391] recall 0.826484 [0.817143,0.837134] recall 0.849315 [0.874286,0.820847] recall 0.846271 [0.882857,0.80456] recall 0.86758 [0.897143,0.833876] recall 0.824962 [0.822857,0.827362] recall 0.832572 [0.88,0.778502] recall 0.853881 [0.871429,0.833876] recall 0.847793 [0.885714,0.80456] recall 0.846271 [0.874286,0.814332] recall 0.85997 [0.874286,0.843648] recall 0.847793 [0.882857,0.807818] recall 0.832572 [0.831429,0.833876] recall 0.834094 [0.871429,0.791531] recall 0.792998 [0.814286,0.76873] recall 0.834094 [0.842857,0.824104] recall 0.834094 [0.831429,0.837134] recall 0.83105 [0.854286,0.80456] recall 0.852359 [0.842857,0.863192] recall 0.820396 [0.825714,0.814332] recall 0.844749 [0.86,0.827362] recall 0.841705 [0.84,0.843648] recall 0.843227 [0.86,0.824104] recall 0.838661 [0.871429,0.801303] recall 0.828006 [0.862857,0.788274] recall 0.808219 [0.874286,0.732899] recall 0.82344 [0.865714,0.775244] relative_absolute_error 0.577807 relative_absolute_error 0.592496 relative_absolute_error 0.581818 relative_absolute_error 0.576711 relative_absolute_error 0.567385 relative_absolute_error 0.559516 relative_absolute_error 0.549141 relative_absolute_error 0.566836 relative_absolute_error 0.576605 relative_absolute_error 0.583166 relative_absolute_error 0.593582 relative_absolute_error 0.561239 relative_absolute_error 0.586552 relative_absolute_error 0.563092 relative_absolute_error 0.545397 relative_absolute_error 0.590709 relative_absolute_error 0.554835 relative_absolute_error 0.617141 relative_absolute_error 0.561502 relative_absolute_error 0.55556 relative_absolute_error 0.559211 relative_absolute_error 0.58569 relative_absolute_error 0.581127 relative_absolute_error 0.551459 relative_absolute_error 0.564868 relative_absolute_error 0.563919 relative_absolute_error 0.570385 relative_absolute_error 0.556756 relative_absolute_error 0.563348 relative_absolute_error 0.564433 relative_absolute_error 0.586897 relative_absolute_error 0.586445 relative_absolute_error 0.592401 relative_absolute_error 0.57174 relative_absolute_error 0.58103 relative_absolute_error 0.58597 relative_absolute_error 0.574767 relative_absolute_error 0.565836 relative_absolute_error 0.566034 relative_absolute_error 0.574454 relative_absolute_error 0.587315 relative_absolute_error 0.607683 relative_absolute_error 0.573155 relative_absolute_error 0.602785 relative_absolute_error 0.598902 relative_absolute_error 0.591546 relative_absolute_error 0.584327 relative_absolute_error 0.557905 relative_absolute_error 0.579688 relative_absolute_error 0.571396 relative_absolute_error 0.566519 relative_absolute_error 0.547861 relative_absolute_error 0.568176 relative_absolute_error 0.571301 relative_absolute_error 0.58226 relative_absolute_error 0.569735 relative_absolute_error 0.598562 relative_absolute_error 0.561397 relative_absolute_error 0.580275 relative_absolute_error 0.584778 relative_absolute_error 0.562259 relative_absolute_error 0.559121 relative_absolute_error 0.574724 relative_absolute_error 0.574218 relative_absolute_error 0.581468 relative_absolute_error 0.577833 relative_absolute_error 0.5919 relative_absolute_error 0.569544 relative_absolute_error 0.582305 relative_absolute_error 0.597917 relative_absolute_error 0.578288 relative_absolute_error 0.591938 relative_absolute_error 0.592605 relative_absolute_error 0.599891 relative_absolute_error 0.604533 relative_absolute_error 0.567446 relative_absolute_error 0.574272 relative_absolute_error 0.561722 relative_absolute_error 0.594084 relative_absolute_error 0.589983 relative_absolute_error 0.56546 relative_absolute_error 0.579002 relative_absolute_error 0.556384 relative_absolute_error 0.552682 relative_absolute_error 0.565503 relative_absolute_error 0.587026 relative_absolute_error 0.580242 relative_absolute_error 0.623082 relative_absolute_error 0.572716 relative_absolute_error 0.580702 relative_absolute_error 0.59372 relative_absolute_error 0.548603 relative_absolute_error 0.585555 relative_absolute_error 0.575892 relative_absolute_error 0.590501 relative_absolute_error 0.577847 relative_absolute_error 0.580235 relative_absolute_error 0.593696 relative_absolute_error 0.603658 relative_absolute_error 0.584035 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 0.347706 root_mean_squared_error 0.351186 root_mean_squared_error 0.346764 root_mean_squared_error 0.345618 root_mean_squared_error 0.347629 root_mean_squared_error 0.338874 root_mean_squared_error 0.327075 root_mean_squared_error 0.33871 root_mean_squared_error 0.345786 root_mean_squared_error 0.350282 root_mean_squared_error 0.356474 root_mean_squared_error 0.342465 root_mean_squared_error 0.354198 root_mean_squared_error 0.348122 root_mean_squared_error 0.328952 root_mean_squared_error 0.350327 root_mean_squared_error 0.341022 root_mean_squared_error 0.36207 root_mean_squared_error 0.340461 root_mean_squared_error 0.343844 root_mean_squared_error 0.332285 root_mean_squared_error 0.349613 root_mean_squared_error 0.353081 root_mean_squared_error 0.336399 root_mean_squared_error 0.339396 root_mean_squared_error 0.346987 root_mean_squared_error 0.348874 root_mean_squared_error 0.338243 root_mean_squared_error 0.340854 root_mean_squared_error 0.340955 root_mean_squared_error 0.350794 root_mean_squared_error 0.347588 root_mean_squared_error 0.352717 root_mean_squared_error 0.348597 root_mean_squared_error 0.348017 root_mean_squared_error 0.355618 root_mean_squared_error 0.346757 root_mean_squared_error 0.344447 root_mean_squared_error 0.34272 root_mean_squared_error 0.344571 root_mean_squared_error 0.353232 root_mean_squared_error 0.370602 root_mean_squared_error 0.343174 root_mean_squared_error 0.366153 root_mean_squared_error 0.355922 root_mean_squared_error 0.355671 root_mean_squared_error 0.348611 root_mean_squared_error 0.339416 root_mean_squared_error 0.344818 root_mean_squared_error 0.340775 root_mean_squared_error 0.343516 root_mean_squared_error 0.335801 root_mean_squared_error 0.335791 root_mean_squared_error 0.34539 root_mean_squared_error 0.35061 root_mean_squared_error 0.342356 root_mean_squared_error 0.364288 root_mean_squared_error 0.343659 root_mean_squared_error 0.353105 root_mean_squared_error 0.35495 root_mean_squared_error 0.340273 root_mean_squared_error 0.338711 root_mean_squared_error 0.346363 root_mean_squared_error 0.348283 root_mean_squared_error 0.346085 root_mean_squared_error 0.349476 root_mean_squared_error 0.356869 root_mean_squared_error 0.337639 root_mean_squared_error 0.353532 root_mean_squared_error 0.356731 root_mean_squared_error 0.350775 root_mean_squared_error 0.35618 root_mean_squared_error 0.35682 root_mean_squared_error 0.354989 root_mean_squared_error 0.36253 root_mean_squared_error 0.33886 root_mean_squared_error 0.346686 root_mean_squared_error 0.340708 root_mean_squared_error 0.358937 root_mean_squared_error 0.350569 root_mean_squared_error 0.345776 root_mean_squared_error 0.346076 root_mean_squared_error 0.338296 root_mean_squared_error 0.332888 root_mean_squared_error 0.346806 root_mean_squared_error 0.353765 root_mean_squared_error 0.353452 root_mean_squared_error 0.373597 root_mean_squared_error 0.347564 root_mean_squared_error 0.351567 root_mean_squared_error 0.35876 root_mean_squared_error 0.339498 root_mean_squared_error 0.356153 root_mean_squared_error 0.344532 root_mean_squared_error 0.348168 root_mean_squared_error 0.345512 root_mean_squared_error 0.347026 root_mean_squared_error 0.355981 root_mean_squared_error 0.361082 root_mean_squared_error 0.35298 root_relative_squared_error 0.696971 root_relative_squared_error 0.703806 root_relative_squared_error 0.695083 root_relative_squared_error 0.692648 root_relative_squared_error 0.696816 root_relative_squared_error 0.679268 root_relative_squared_error 0.655487 root_relative_squared_error 0.678939 root_relative_squared_error 0.693122 root_relative_squared_error 0.702135 root_relative_squared_error 0.714405 root_relative_squared_error 0.686328 root_relative_squared_error 0.709844 root_relative_squared_error 0.697667 root_relative_squared_error 0.659247 root_relative_squared_error 0.702086 root_relative_squared_error 0.683438 root_relative_squared_error 0.725619 root_relative_squared_error 0.682314 root_relative_squared_error 0.689092 root_relative_squared_error 0.665927 root_relative_squared_error 0.700655 root_relative_squared_error 0.707605 root_relative_squared_error 0.674171 root_relative_squared_error 0.680179 root_relative_squared_error 0.695392 root_relative_squared_error 0.699174 root_relative_squared_error 0.677867 root_relative_squared_error 0.6831 root_relative_squared_error 0.683304 root_relative_squared_error 0.703022 root_relative_squared_error 0.696734 root_relative_squared_error 0.706876 root_relative_squared_error 0.698757 root_relative_squared_error 0.697456 root_relative_squared_error 0.71269 root_relative_squared_error 0.695068 root_relative_squared_error 0.6903 root_relative_squared_error 0.68684 root_relative_squared_error 0.69055 root_relative_squared_error 0.707981 root_relative_squared_error 0.742797 root_relative_squared_error 0.687822 root_relative_squared_error 0.733879 root_relative_squared_error 0.713373 root_relative_squared_error 0.71287 root_relative_squared_error 0.69872 root_relative_squared_error 0.68029 root_relative_squared_error 0.691118 root_relative_squared_error 0.683014 root_relative_squared_error 0.688509 root_relative_squared_error 0.673046 root_relative_squared_error 0.673025 root_relative_squared_error 0.692264 root_relative_squared_error 0.702727 root_relative_squared_error 0.686183 root_relative_squared_error 0.730141 root_relative_squared_error 0.688795 root_relative_squared_error 0.707728 root_relative_squared_error 0.711425 root_relative_squared_error 0.682008 root_relative_squared_error 0.678877 root_relative_squared_error 0.694214 root_relative_squared_error 0.698063 root_relative_squared_error 0.693656 root_relative_squared_error 0.700454 root_relative_squared_error 0.715272 root_relative_squared_error 0.67673 root_relative_squared_error 0.708584 root_relative_squared_error 0.714996 root_relative_squared_error 0.703056 root_relative_squared_error 0.713891 root_relative_squared_error 0.715173 root_relative_squared_error 0.711503 root_relative_squared_error 0.726617 root_relative_squared_error 0.679176 root_relative_squared_error 0.694862 root_relative_squared_error 0.68288 root_relative_squared_error 0.719416 root_relative_squared_error 0.702643 root_relative_squared_error 0.693039 root_relative_squared_error 0.69364 root_relative_squared_error 0.678046 root_relative_squared_error 0.667206 root_relative_squared_error 0.695102 root_relative_squared_error 0.709049 root_relative_squared_error 0.708423 root_relative_squared_error 0.748799 root_relative_squared_error 0.696622 root_relative_squared_error 0.704645 root_relative_squared_error 0.719061 root_relative_squared_error 0.680455 root_relative_squared_error 0.713835 root_relative_squared_error 0.690545 root_relative_squared_error 0.697832 root_relative_squared_error 0.692509 root_relative_squared_error 0.695544 root_relative_squared_error 0.713491 root_relative_squared_error 0.723716 root_relative_squared_error 0.707478 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 970 usercpu_time_millis 860 usercpu_time_millis 890 usercpu_time_millis 560 usercpu_time_millis 560 usercpu_time_millis 860 usercpu_time_millis 830 usercpu_time_millis 840 usercpu_time_millis 560 usercpu_time_millis 580 usercpu_time_millis 890 usercpu_time_millis 900 usercpu_time_millis 830 usercpu_time_millis 590 usercpu_time_millis 590 usercpu_time_millis 810 usercpu_time_millis 880 usercpu_time_millis 880 usercpu_time_millis 530 usercpu_time_millis 560 usercpu_time_millis 920 usercpu_time_millis 880 usercpu_time_millis 580 usercpu_time_millis 560 usercpu_time_millis 540 usercpu_time_millis 880 usercpu_time_millis 820 usercpu_time_millis 880 usercpu_time_millis 810 usercpu_time_millis 570 usercpu_time_millis 900 usercpu_time_millis 910 usercpu_time_millis 550 usercpu_time_millis 570 usercpu_time_millis 580 usercpu_time_millis 860 usercpu_time_millis 870 usercpu_time_millis 690 usercpu_time_millis 870 usercpu_time_millis 570 usercpu_time_millis 940 usercpu_time_millis 900 usercpu_time_millis 550 usercpu_time_millis 560 usercpu_time_millis 730 usercpu_time_millis 870 usercpu_time_millis 860 usercpu_time_millis 570 usercpu_time_millis 690 usercpu_time_millis 560 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