383645 2 Joaquin Vanschoren 4545 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_3.7.12 977 letter https://www.openml.org/data/download/53511/letter.arff -1 1337089 description https://api.openml.org/data/download/1337089/weka_generated_run8335929545432047683.xml -1 1337092 model_readable https://api.openml.org/data/download/1337092/WekaModel_weka.classifiers.trees.ADTree5927195476060616728.model -1 1337091 model_serialized https://api.openml.org/data/download/1337091/WekaSerialized_weka.classifiers.trees.ADTree8862613421637366227.model -1 1337090 predictions https://api.openml.org/data/download/1337090/weka_generated_predictions7021783488656125.arff area_under_roc_curve 0.985347 [0.985347,0.985347] average_cost 0 f_measure 0.982398 [0.775758,0.991154] kappa 0.766958 kb_relative_information_score -84436.418501 mean_absolute_error 0.053591 mean_prior_absolute_error 0.078037 number_of_instances 200000 [8130,191870] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.982153 [0.835177,0.98838] predictive_accuracy 0.98298 prior_entropy 0.245474 recall 0.98298 [0.724231,0.993944] relative_absolute_error 0.686735 root_mean_prior_squared_error 0.197478 root_mean_squared_error 0.129522 root_relative_squared_error 0.655878 scimark_benchmark 905.627892 [559.2306925730255, 1014.9881073746852, 483.449727694041, 900.2197984986343, 1570.2511357501353] total_cost 0 usercpu_time_millis 2280 usercpu_time_millis_testing 20 usercpu_time_millis_training 2260 area_under_roc_curve 0.984727 [0.984727,0.984727] area_under_roc_curve 0.990836 [0.990836,0.990836] area_under_roc_curve 0.989732 [0.989732,0.989732] area_under_roc_curve 0.981607 [0.981607,0.981607] area_under_roc_curve 0.985805 [0.985805,0.985805] area_under_roc_curve 0.986319 [0.986319,0.986319] area_under_roc_curve 0.981359 [0.981359,0.981359] area_under_roc_curve 0.989272 [0.989272,0.989272] area_under_roc_curve 0.975637 [0.975637,0.975637] area_under_roc_curve 0.989031 [0.989031,0.989031] area_under_roc_curve 0.984856 [0.984856,0.984856] area_under_roc_curve 0.984978 [0.984978,0.984978] area_under_roc_curve 0.983534 [0.983534,0.983534] area_under_roc_curve 0.991321 [0.991321,0.991321] area_under_roc_curve 0.987255 [0.987255,0.987255] area_under_roc_curve 0.981227 [0.981227,0.981227] area_under_roc_curve 0.981417 [0.981417,0.981417] area_under_roc_curve 0.985268 [0.985268,0.985268] area_under_roc_curve 0.988906 [0.988906,0.988906] area_under_roc_curve 0.977104 [0.977104,0.977104] area_under_roc_curve 0.983437 [0.983437,0.983437] area_under_roc_curve 0.98465 [0.98465,0.98465] area_under_roc_curve 0.984064 [0.984064,0.984064] area_under_roc_curve 0.982952 [0.982952,0.982952] area_under_roc_curve 0.984479 [0.984479,0.984479] area_under_roc_curve 0.990331 [0.990331,0.990331] area_under_roc_curve 0.98622 [0.98622,0.98622] area_under_roc_curve 0.989578 [0.989578,0.989578] area_under_roc_curve 0.983132 [0.983132,0.983132] area_under_roc_curve 0.985927 [0.985927,0.985927] area_under_roc_curve 0.985406 [0.985406,0.985406] area_under_roc_curve 0.983698 [0.983698,0.983698] area_under_roc_curve 0.984994 [0.984994,0.984994] area_under_roc_curve 0.977026 [0.977026,0.977026] area_under_roc_curve 0.985612 [0.985612,0.985612] area_under_roc_curve 0.983653 [0.983653,0.983653] area_under_roc_curve 0.980159 [0.980159,0.980159] area_under_roc_curve 0.98152 [0.98152,0.98152] area_under_roc_curve 0.980423 [0.980423,0.980423] area_under_roc_curve 0.987426 [0.987426,0.987426] area_under_roc_curve 0.991103 [0.991103,0.991103] area_under_roc_curve 0.987896 [0.987896,0.987896] area_under_roc_curve 0.989301 [0.989301,0.989301] area_under_roc_curve 0.984682 [0.984682,0.984682] area_under_roc_curve 0.98226 [0.98226,0.98226] area_under_roc_curve 0.982813 [0.982813,0.982813] area_under_roc_curve 0.991614 [0.991614,0.991614] area_under_roc_curve 0.97903 [0.97903,0.97903] area_under_roc_curve 0.987889 [0.987889,0.987889] area_under_roc_curve 0.978596 [0.978596,0.978596] area_under_roc_curve 0.98438 [0.98438,0.98438] area_under_roc_curve 0.985618 [0.985618,0.985618] area_under_roc_curve 0.984737 [0.984737,0.984737] area_under_roc_curve 0.989369 [0.989369,0.989369] area_under_roc_curve 0.979394 [0.979394,0.979394] area_under_roc_curve 0.989491 [0.989491,0.989491] area_under_roc_curve 0.985377 [0.985377,0.985377] area_under_roc_curve 0.980742 [0.980742,0.980742] area_under_roc_curve 0.980999 [0.980999,0.980999] area_under_roc_curve 0.987944 [0.987944,0.987944] area_under_roc_curve 0.985316 [0.985316,0.985316] area_under_roc_curve 0.98465 [0.98465,0.98465] area_under_roc_curve 0.983736 [0.983736,0.983736] area_under_roc_curve 0.991235 [0.991235,0.991235] area_under_roc_curve 0.9796 [0.9796,0.9796] area_under_roc_curve 0.980237 [0.980237,0.980237] area_under_roc_curve 0.988008 [0.988008,0.988008] area_under_roc_curve 0.984708 [0.984708,0.984708] area_under_roc_curve 0.985949 [0.985949,0.985949] area_under_roc_curve 0.987342 [0.987342,0.987342] area_under_roc_curve 0.978627 [0.978627,0.978627] area_under_roc_curve 0.98494 [0.98494,0.98494] area_under_roc_curve 0.984499 [0.984499,0.984499] area_under_roc_curve 0.981984 [0.981984,0.981984] area_under_roc_curve 0.988988 [0.988988,0.988988] area_under_roc_curve 0.986177 [0.986177,0.986177] area_under_roc_curve 0.98756 [0.98756,0.98756] area_under_roc_curve 0.987061 [0.987061,0.987061] area_under_roc_curve 0.98791 [0.98791,0.98791] area_under_roc_curve 0.985669 [0.985669,0.985669] area_under_roc_curve 0.986527 [0.986527,0.986527] area_under_roc_curve 0.985475 [0.985475,0.985475] area_under_roc_curve 0.983624 [0.983624,0.983624] area_under_roc_curve 0.985023 [0.985023,0.985023] area_under_roc_curve 0.98654 [0.98654,0.98654] area_under_roc_curve 0.986149 [0.986149,0.986149] area_under_roc_curve 0.983033 [0.983033,0.983033] area_under_roc_curve 0.987214 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average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.977822 [0.730539,0.98826] f_measure 0.985279 [0.815287,0.992454] f_measure 0.986028 [0.821192,0.992985] f_measure 0.981614 [0.748092,0.991471] f_measure 0.984626 [0.805195,0.9922] f_measure 0.983494 [0.789474,0.991684] f_measure 0.985312 [0.80292,0.993011] f_measure 0.983827 [0.804734,0.991386] f_measure 0.97544 [0.676056,0.988077] f_measure 0.986315 [0.821918,0.993254] f_measure 0.982121 [0.774194,0.990897] f_measure 0.978808 [0.742515,0.988782] f_measure 0.983156 [0.780822,0.991697] f_measure 0.984993 [0.807947,0.992466] f_measure 0.975402 [0.688312,0.98752] f_measure 0.981051 [0.753425,0.990659] f_measure 0.980637 [0.742857,0.990674] f_measure 0.981111 [0.768293,0.990094] f_measure 0.985838 [0.816327,0.992992] f_measure 0.97375 [0.686047,0.985893] f_measure 0.978797 [0.722222,0.989627] f_measure 0.978808 [0.742515,0.988782] f_measure 0.983983 [0.788732,0.992224] f_measure 0.984209 [0.794521,0.992216] f_measure 0.982794 [0.78481,0.99115] f_measure 0.984184 [0.807229,0.991654] f_measure 0.989545 [0.864865,0.994808] f_measure 0.987 [0.839506,0.993226] f_measure 0.9867 [0.825175,0.993518] f_measure 0.980557 [0.760736,0.989836] f_measure 0.980557 [0.760736,0.989836] f_measure 0.981641 [0.761905,0.990916] f_measure 0.981554 [0.773006,0.990357] f_measure 0.979552 [0.721805,0.990432] f_measure 0.9804 [0.75,0.990125] f_measure 0.981 [0.765432,0.990099] f_measure 0.981847 [0.760563,0.991187] f_measure 0.979678 [0.751515,0.989309] f_measure 0.979757 [0.746835,0.989589] f_measure 0.983037 [0.777778,0.991701] f_measure 0.981445 [0.770186,0.990362] f_measure 0.98269 [0.77551,0.991435] f_measure 0.980525 [0.773481,0.989264] f_measure 0.982846 [0.792899,0.990864] f_measure 0.981575 [0.753623,0.991196] f_measure 0.980185 [0.731343,0.990688] f_measure 0.989892 [0.867133,0.995074] f_measure 0.979857 [0.736111,0.990145] f_measure 0.983601 [0.792208,0.99168] f_measure 0.982551 [0.785276,0.990878] f_measure 0.98446 [0.794326,0.992485] f_measure 0.981977 [0.763889,0.991183] f_measure 0.983617 [0.779412,0.992236] f_measure 0.984588 [0.791045,0.992757] f_measure 0.976643 [0.734043,0.986884] f_measure 0.98491 [0.8125,0.992188] f_measure 0.981661 [0.775758,0.990352] f_measure 0.981575 [0.753623,0.991196] f_measure 0.979998 [0.739726,0.99014] f_measure 0.982342 [0.779874,0.990888] f_measure 0.985462 [0.813333,0.992727] f_measure 0.986503 [0.820144,0.993525] f_measure 0.979231 [0.733333,0.98961] f_measure 0.990459 [0.875,0.995332] f_measure 0.981 [0.765432,0.990099] f_measure 0.982444 [0.769231,0.991444] f_measure 0.981285 [0.746269,0.991205] f_measure 0.987278 [0.833333,0.993776] f_measure 0.986315 [0.821918,0.993254] f_measure 0.983385 [0.786667,0.991688] f_measure 0.979636 [0.746835,0.989589] f_measure 0.984169 [0.802548,0.991933] f_measure 0.983156 [0.776978,0.991971] f_measure 0.983156 [0.776978,0.991971] f_measure 0.980443 [0.760736,0.989836] f_measure 0.985926 [0.814286,0.993264] f_measure 0.983452 [0.797546,0.9914] f_measure 0.98304 [0.787097,0.991417] f_measure 0.982806 [0.774648,0.991706] f_measure 0.98603 [0.816901,0.993261] f_measure 0.983379 [0.776119,0.99224] f_measure 0.982796 [0.7875,0.991146] f_measure 0.975563 [0.696203,0.987507] f_measure 0.984844 [0.8,0.992746] f_measure 0.986616 [0.825175,0.993518] f_measure 0.98603 [0.816901,0.993261] f_measure 0.980513 [0.742857,0.990674] f_measure 0.979121 [0.746988,0.989045] f_measure 0.984182 [0.809524,0.991649] f_measure 0.983905 [0.802469,0.991662] f_measure 0.97819 [0.75,0.987945] f_measure 0.982012 [0.774194,0.990897] f_measure 0.982411 [0.764706,0.991718] f_measure 0.979559 [0.751515,0.989309] f_measure 0.978599 [0.707692,0.990181] f_measure 0.982355 [0.776316,0.991164] f_measure 0.982582 [0.782051,0.991155] f_measure 0.980192 [0.741259,0.990407] f_measure 0.983808 [0.8,0.991667] f_measure 0.979559 [0.751515,0.989309] kappa 0.71881 kappa 0.807748 kappa 0.814216 kappa 0.740055 kappa 0.797416 kappa 0.781195 kappa 0.796171 kappa 0.796135 kappa 0.664378 kappa 0.815256 kappa 0.76511 kappa 0.731307 kappa 0.772622 kappa 0.800454 kappa 0.675866 kappa 0.7442 kappa 0.733769 kappa 0.758388 kappa 0.809395 kappa 0.67199 kappa 0.712017 kappa 0.731307 kappa 0.781116 kappa 0.786833 kappa 0.775966 kappa 0.798888 kappa 0.859721 kappa 0.832732 kappa 0.818812 kappa 0.750572 kappa 0.750572 kappa 0.752919 kappa 0.763364 kappa 0.712706 kappa 0.740169 kappa 0.755531 kappa 0.751932 kappa 0.740828 kappa 0.736431 kappa 0.769613 kappa 0.760549 kappa 0.767038 kappa 0.762869 kappa 0.78378 kappa 0.745095 kappa 0.722451 kappa 0.862297 kappa 0.726416 kappa 0.783911 kappa 0.776155 kappa 0.786984 kappa 0.755214 kappa 0.771941 kappa 0.784129 kappa 0.721189 kappa 0.804689 kappa 0.766113 kappa 0.745095 kappa 0.729989 kappa 0.770765 kappa 0.806109 kappa 0.813852 kappa 0.723013 kappa 0.870408 kappa 0.755531 kappa 0.760831 kappa 0.737871 kappa 0.82721 kappa 0.815256 kappa 0.77841 kappa 0.73644 kappa 0.794498 kappa 0.769218 kappa 0.769218 kappa 0.750572 kappa 0.807755 kappa 0.788946 kappa 0.778544 kappa 0.76656 kappa 0.81033 kappa 0.768761 kappa 0.778652 kappa 0.683728 kappa 0.792967 kappa 0.818838 kappa 0.81033 kappa 0.733814 kappa 0.736035 kappa 0.801178 kappa 0.794133 kappa 0.738095 kappa 0.765123 kappa 0.756787 kappa 0.740825 kappa 0.698566 kappa 0.767537 kappa 0.773231 kappa 0.73188 kappa 0.791672 kappa 0.740825 kb_relative_information_score -496.242639 kb_relative_information_score -1117.026269 kb_relative_information_score -451.788564 kb_relative_information_score -1063.60342 kb_relative_information_score -865.548495 kb_relative_information_score -708.607661 kb_relative_information_score -1054.669608 kb_relative_information_score -1034.201827 kb_relative_information_score -890.784701 kb_relative_information_score -811.179047 kb_relative_information_score -816.319729 kb_relative_information_score -675.563259 kb_relative_information_score -501.168282 kb_relative_information_score -787.702891 kb_relative_information_score -888.332455 kb_relative_information_score -825.995833 kb_relative_information_score -609.982984 kb_relative_information_score -766.762529 kb_relative_information_score -1036.004142 kb_relative_information_score -912.211381 kb_relative_information_score -970.75789 kb_relative_information_score -1038.128593 kb_relative_information_score -614.804104 kb_relative_information_score -498.375382 kb_relative_information_score -1081.102863 kb_relative_information_score -1003.603942 kb_relative_information_score -909.647689 kb_relative_information_score -765.468924 kb_relative_information_score -1100.882854 kb_relative_information_score -696.405937 kb_relative_information_score -879.013264 kb_relative_information_score -810.717274 kb_relative_information_score -1055.681991 kb_relative_information_score -1705.470432 kb_relative_information_score -695.884193 kb_relative_information_score -1009.608638 kb_relative_information_score -1035.541187 kb_relative_information_score -829.247813 kb_relative_information_score -963.016788 kb_relative_information_score -629.483328 kb_relative_information_score -965.043888 kb_relative_information_score -698.514117 kb_relative_information_score -925.941384 kb_relative_information_score -758.609197 kb_relative_information_score -784.611517 kb_relative_information_score -882.957358 kb_relative_information_score -930.191228 kb_relative_information_score -830.606694 kb_relative_information_score -710.170134 kb_relative_information_score -1288.24568 kb_relative_information_score -919.650803 kb_relative_information_score -897.715315 kb_relative_information_score -939.72715 kb_relative_information_score -1177.652712 kb_relative_information_score -638.184668 kb_relative_information_score -922.515317 kb_relative_information_score -890.885678 kb_relative_information_score -1288.654692 kb_relative_information_score 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kb_relative_information_score -965.059371 kb_relative_information_score -763.834356 kb_relative_information_score -852.398114 kb_relative_information_score -888.315249 kb_relative_information_score -316.645967 kb_relative_information_score -1043.37686 kb_relative_information_score -819.059223 kb_relative_information_score -922.65332 kb_relative_information_score -825.940324 kb_relative_information_score -653.856983 kb_relative_information_score -746.222186 kb_relative_information_score -786.762783 kb_relative_information_score -909.358012 kb_relative_information_score -702.44303 kb_relative_information_score -681.465495 kb_relative_information_score -412.45687 kb_relative_information_score -704.689631 kb_relative_information_score -751.857696 mean_absolute_error 0.051553 mean_absolute_error 0.0545 mean_absolute_error 0.049509 mean_absolute_error 0.055585 mean_absolute_error 0.051727 mean_absolute_error 0.051892 mean_absolute_error 0.053176 mean_absolute_error 0.053652 mean_absolute_error 0.053454 mean_absolute_error 0.052638 mean_absolute_error 0.054972 mean_absolute_error 0.055496 mean_absolute_error 0.052019 mean_absolute_error 0.054386 mean_absolute_error 0.055436 mean_absolute_error 0.052649 mean_absolute_error 0.053766 mean_absolute_error 0.051616 mean_absolute_error 0.054979 mean_absolute_error 0.055023 mean_absolute_error 0.052451 mean_absolute_error 0.056969 mean_absolute_error 0.050301 mean_absolute_error 0.050255 mean_absolute_error 0.055242 mean_absolute_error 0.055735 mean_absolute_error 0.053981 mean_absolute_error 0.051384 mean_absolute_error 0.057405 mean_absolute_error 0.050948 mean_absolute_error 0.054658 mean_absolute_error 0.051499 mean_absolute_error 0.054893 mean_absolute_error 0.060525 mean_absolute_error 0.054591 mean_absolute_error 0.056496 mean_absolute_error 0.054179 mean_absolute_error 0.057619 mean_absolute_error 0.054881 mean_absolute_error 0.052789 mean_absolute_error 0.053713 mean_absolute_error 0.054612 mean_absolute_error 0.055656 mean_absolute_error 0.051848 mean_absolute_error 0.054149 mean_absolute_error 0.055185 mean_absolute_error 0.052213 mean_absolute_error 0.052612 mean_absolute_error 0.053297 mean_absolute_error 0.058167 mean_absolute_error 0.054386 mean_absolute_error 0.053337 mean_absolute_error 0.053847 mean_absolute_error 0.05621 mean_absolute_error 0.049047 mean_absolute_error 0.052523 mean_absolute_error 0.05385 mean_absolute_error 0.059511 mean_absolute_error 0.052564 mean_absolute_error 0.053521 mean_absolute_error 0.053641 mean_absolute_error 0.055855 mean_absolute_error 0.055052 mean_absolute_error 0.047534 mean_absolute_error 0.051109 mean_absolute_error 0.054838 mean_absolute_error 0.05219 mean_absolute_error 0.04842 mean_absolute_error 0.049031 mean_absolute_error 0.051337 mean_absolute_error 0.055358 mean_absolute_error 0.052363 mean_absolute_error 0.056463 mean_absolute_error 0.055729 mean_absolute_error 0.051901 mean_absolute_error 0.052373 mean_absolute_error 0.053226 mean_absolute_error 0.050534 mean_absolute_error 0.05297 mean_absolute_error 0.055869 mean_absolute_error 0.051254 mean_absolute_error 0.051331 mean_absolute_error 0.056626 mean_absolute_error 0.052456 mean_absolute_error 0.054146 mean_absolute_error 0.051995 mean_absolute_error 0.05079 mean_absolute_error 0.057147 mean_absolute_error 0.051867 mean_absolute_error 0.054666 mean_absolute_error 0.054627 mean_absolute_error 0.053424 mean_absolute_error 0.053206 mean_absolute_error 0.058019 mean_absolute_error 0.05541 mean_absolute_error 0.053516 mean_absolute_error 0.053684 mean_absolute_error 0.05011 mean_absolute_error 0.052361 mean_absolute_error 0.05159 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.0779 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 mean_prior_absolute_error 0.078359 number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [81,1919] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] number_of_instances 2000 [82,1918] precision 0.978201 [0.709302,0.989551] precision 0.985127 [0.842105,0.991164] precision 0.985926 [0.885714,0.990155] precision 0.983444 [0.98,0.98359] precision 0.984437 [0.849315,0.99014] precision 0.98328 [0.84507,0.989114] precision 0.986444 [0.982143,0.986626] precision 0.984272 [0.772727,0.993201] precision 0.975039 [0.786885,0.982981] precision 0.986471 [0.923077,0.989147] precision 0.981876 [0.810811,0.989097] precision 0.979173 [0.72093,0.990073] precision 0.983115 [0.876923,0.987597] precision 0.98485 [0.871429,0.989637] precision 0.974962 [0.726027,0.98547] precision 0.980877 [0.846154,0.986563] precision 0.980859 [0.881356,0.985059] precision 0.981232 [0.759036,0.99061] precision 0.9859 [0.909091,0.989142] precision 0.974701 [0.648352,0.988476] precision 0.978563 [0.825397,0.985028] precision 0.979173 [0.72093,0.990073] precision 0.984309 [0.918033,0.987107] precision 0.984234 [0.892308,0.988114] precision 0.98263 [0.805195,0.99012] precision 0.984409 [0.788235,0.992689] precision 0.989748 [0.955224,0.991205] precision 0.987 [0.839506,0.993226] precision 0.987148 [0.951613,0.988648] precision 0.980617 [0.756098,0.990094] precision 0.980617 [0.756098,0.990094] precision 0.981461 [0.848485,0.987073] precision 0.981611 [0.768293,0.990615] precision 0.98063 [0.923077,0.98306] precision 0.980076 [0.802817,0.987558] precision 0.981 [0.765432,0.990099] precision 0.981992 [0.885246,0.986075] precision 0.979878 [0.738095,0.990084] precision 0.979555 [0.766234,0.98856] precision 0.983116 [0.888889,0.987093] precision 0.981392 [0.775,0.990104] precision 0.98257 [0.863636,0.98759] precision 0.982295 [0.7,0.994211] precision 0.98331 [0.761364,0.992678] precision 0.982126 [0.912281,0.985075] precision 0.981173 [0.924528,0.983564] precision 0.990593 [1,0.990196] precision 0.979702 [0.84127,0.985545] precision 0.983384 [0.835616,0.989621] precision 0.982605 [0.780488,0.991137] precision 0.984935 [0.933333,0.987113] precision 0.981978 [0.873016,0.986577] precision 0.984714 [0.963636,0.985604] precision 0.986201 [1,0.985619] precision 0.979534 [0.64486,0.993661] precision 0.984831 [0.822785,0.991671] precision 0.981844 [0.761905,0.991127] precision 0.982126 [0.912281,0.985075] precision 0.979758 [0.830769,0.986047] precision 0.982207 [0.794872,0.990114] precision 0.985366 [0.884058,0.989643] precision 0.987444 [0.982759,0.987642] precision 0.978863 [0.797101,0.986535] precision 0.991084 [1,0.990707] precision 0.981 [0.765432,0.990099] precision 0.982555 [0.887097,0.986584] precision 0.98243 [0.943396,0.984078] precision 0.987669 [0.952381,0.989158] precision 0.986471 [0.923077,0.989147] precision 0.983199 [0.855072,0.988607] precision 0.979365 [0.776316,0.988046] precision 0.983975 [0.84,0.99013] precision 0.984022 [0.947368,0.985589] precision 0.984022 [0.947368,0.985589] precision 0.980388 [0.765432,0.989578] precision 0.986948 [0.982759,0.987127] precision 0.983406 [0.802469,0.991141] precision 0.982809 [0.835616,0.989102] precision 0.983236 [0.916667,0.986082] precision 0.986769 [0.966667,0.987629] precision 0.985231 [1,0.9846] precision 0.982635 [0.807692,0.990114] precision 0.975213 [0.723684,0.985967] precision 0.985747 [0.965517,0.986612] precision 0.98728 [0.967213,0.988138] precision 0.986769 [0.966667,0.987629] precision 0.980944 [0.896552,0.984552] precision 0.979251 [0.738095,0.989562] precision 0.984404 [0.790698,0.992685] precision 0.983821 [0.8125,0.991146] precision 0.980167 [0.676471,0.993151] precision 0.98175 [0.821918,0.988583] precision 0.983697 [0.962963,0.984584] precision 0.979621 [0.746988,0.989567] precision 0.980605 [0.958333,0.981557] precision 0.982129 [0.842857,0.988083] precision 0.982341 [0.824324,0.989097] precision 0.98028 [0.868852,0.985044] precision 0.98366 [0.820513,0.990635] precision 0.979621 [0.746988,0.989567] predictive_accuracy 0.9775 predictive_accuracy 0.9855 predictive_accuracy 0.9865 predictive_accuracy 0.9835 predictive_accuracy 0.985 predictive_accuracy 0.984 predictive_accuracy 0.9865 predictive_accuracy 0.9835 predictive_accuracy 0.977 predictive_accuracy 0.987 predictive_accuracy 0.9825 predictive_accuracy 0.9785 predictive_accuracy 0.984 predictive_accuracy 0.9855 predictive_accuracy 0.976 predictive_accuracy 0.982 predictive_accuracy 0.982 predictive_accuracy 0.981 predictive_accuracy 0.9865 predictive_accuracy 0.973 predictive_accuracy 0.98 predictive_accuracy 0.9785 predictive_accuracy 0.985 predictive_accuracy 0.985 predictive_accuracy 0.983 predictive_accuracy 0.984 predictive_accuracy 0.99 predictive_accuracy 0.987 predictive_accuracy 0.9875 predictive_accuracy 0.9805 predictive_accuracy 0.9805 predictive_accuracy 0.9825 predictive_accuracy 0.9815 predictive_accuracy 0.9815 predictive_accuracy 0.981 predictive_accuracy 0.981 predictive_accuracy 0.983 predictive_accuracy 0.9795 predictive_accuracy 0.98 predictive_accuracy 0.984 predictive_accuracy 0.9815 predictive_accuracy 0.9835 predictive_accuracy 0.9795 predictive_accuracy 0.9825 predictive_accuracy 0.983 predictive_accuracy 0.982 predictive_accuracy 0.9905 predictive_accuracy 0.981 predictive_accuracy 0.984 predictive_accuracy 0.9825 predictive_accuracy 0.9855 predictive_accuracy 0.983 predictive_accuracy 0.985 predictive_accuracy 0.986 predictive_accuracy 0.975 predictive_accuracy 0.985 predictive_accuracy 0.9815 predictive_accuracy 0.983 predictive_accuracy 0.981 predictive_accuracy 0.9825 predictive_accuracy 0.986 predictive_accuracy 0.9875 predictive_accuracy 0.98 predictive_accuracy 0.991 predictive_accuracy 0.981 predictive_accuracy 0.9835 predictive_accuracy 0.983 predictive_accuracy 0.988 predictive_accuracy 0.987 predictive_accuracy 0.984 predictive_accuracy 0.98 predictive_accuracy 0.9845 predictive_accuracy 0.9845 predictive_accuracy 0.9845 predictive_accuracy 0.9805 predictive_accuracy 0.987 predictive_accuracy 0.9835 predictive_accuracy 0.9835 predictive_accuracy 0.984 predictive_accuracy 0.987 predictive_accuracy 0.985 predictive_accuracy 0.983 predictive_accuracy 0.976 predictive_accuracy 0.986 predictive_accuracy 0.9875 predictive_accuracy 0.987 predictive_accuracy 0.982 predictive_accuracy 0.979 predictive_accuracy 0.984 predictive_accuracy 0.984 predictive_accuracy 0.977 predictive_accuracy 0.9825 predictive_accuracy 0.984 predictive_accuracy 0.9795 predictive_accuracy 0.981 predictive_accuracy 0.983 predictive_accuracy 0.983 predictive_accuracy 0.9815 predictive_accuracy 0.984 predictive_accuracy 0.9795 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 prior_entropy 0.245474 recall 0.9775 [0.753086,0.986972] recall 0.9855 [0.790123,0.993747] recall 0.9865 [0.765432,0.995831] recall 0.9835 [0.604938,0.999479] recall 0.985 [0.765432,0.994268] recall 0.984 [0.740741,0.994268] recall 0.9865 [0.679012,0.999479] recall 0.9835 [0.839506,0.989578] recall 0.977 [0.592593,0.993226] recall 0.987 [0.740741,0.997394] recall 0.9825 [0.740741,0.992705] recall 0.9785 [0.765432,0.987493] recall 0.984 [0.703704,0.995831] recall 0.9855 [0.753086,0.99531] recall 0.976 [0.654321,0.989578] recall 0.982 [0.679012,0.994789] recall 0.982 [0.641975,0.996352] recall 0.981 [0.777778,0.989578] recall 0.9865 [0.740741,0.996873] recall 0.973 [0.728395,0.983325] recall 0.98 [0.641975,0.994268] recall 0.9785 [0.765432,0.987493] recall 0.985 [0.691358,0.997394] recall 0.985 [0.716049,0.996352] recall 0.983 [0.765432,0.992183] recall 0.984 [0.82716,0.99062] recall 0.99 [0.790123,0.998437] recall 0.987 [0.839506,0.993226] recall 0.9875 [0.728395,0.998437] recall 0.9805 [0.765432,0.989578] recall 0.9805 [0.765432,0.989578] recall 0.9825 [0.691358,0.994789] recall 0.9815 [0.777778,0.990099] recall 0.9815 [0.592593,0.997916] recall 0.981 [0.703704,0.992705] recall 0.981 [0.765432,0.990099] recall 0.983 [0.666667,0.996352] recall 0.9795 [0.765432,0.988536] recall 0.98 [0.728395,0.99062] recall 0.984 [0.691358,0.996352] recall 0.9815 [0.765432,0.99062] recall 0.9835 [0.703704,0.99531] recall 0.9795 [0.864198,0.984367] recall 0.9825 [0.82716,0.989057] recall 0.983 [0.641975,0.997394] recall 0.982 [0.604938,0.997916] recall 0.9905 [0.765432,1] recall 0.981 [0.654321,0.994789] recall 0.984 [0.753086,0.993747] recall 0.9825 [0.790123,0.99062] recall 0.9855 [0.691358,0.997916] recall 0.983 [0.679012,0.995831] recall 0.985 [0.654321,0.998958] recall 0.986 [0.654321,1] recall 0.975 [0.851852,0.980198] recall 0.985 [0.802469,0.992705] recall 0.9815 [0.790123,0.989578] recall 0.983 [0.641975,0.997394] recall 0.981 [0.666667,0.994268] recall 0.9825 [0.765432,0.991662] recall 0.986 [0.753086,0.995831] recall 0.9875 [0.703704,0.999479] recall 0.98 [0.679012,0.992705] recall 0.991 [0.777778,1] recall 0.981 [0.765432,0.990099] recall 0.9835 [0.679012,0.996352] recall 0.983 [0.617284,0.998437] recall 0.988 [0.740741,0.998437] recall 0.987 [0.740741,0.997394] recall 0.984 [0.728395,0.994789] recall 0.98 [0.719512,0.991137] recall 0.9845 [0.768293,0.993743] recall 0.9845 [0.658537,0.998436] recall 0.9845 [0.658537,0.998436] recall 0.9805 [0.756098,0.990094] recall 0.987 [0.695122,0.999479] recall 0.9835 [0.792683,0.991658] recall 0.9835 [0.743902,0.993743] recall 0.984 [0.670732,0.997393] recall 0.987 [0.707317,0.998957] recall 0.985 [0.634146,1] recall 0.983 [0.768293,0.992179] recall 0.976 [0.670732,0.989051] recall 0.986 [0.682927,0.998957] recall 0.9875 [0.719512,0.998957] recall 0.987 [0.707317,0.998957] recall 0.982 [0.634146,0.996872] recall 0.979 [0.756098,0.98853] recall 0.984 [0.829268,0.990615] recall 0.984 [0.792683,0.992179] recall 0.977 [0.841463,0.982795] recall 0.9825 [0.731707,0.993222] recall 0.984 [0.634146,0.998957] recall 0.9795 [0.756098,0.989051] recall 0.981 [0.560976,0.998957] recall 0.983 [0.719512,0.994265] recall 0.983 [0.743902,0.993222] recall 0.9815 [0.646341,0.995829] recall 0.984 [0.780488,0.992701] recall 0.9795 [0.756098,0.989051] relative_absolute_error 0.661786 relative_absolute_error 0.699616 relative_absolute_error 0.635552 relative_absolute_error 0.713547 relative_absolute_error 0.664023 relative_absolute_error 0.666142 relative_absolute_error 0.682619 relative_absolute_error 0.688727 relative_absolute_error 0.686187 relative_absolute_error 0.675719 relative_absolute_error 0.705677 relative_absolute_error 0.712402 relative_absolute_error 0.667777 relative_absolute_error 0.698159 relative_absolute_error 0.711635 relative_absolute_error 0.675855 relative_absolute_error 0.690194 relative_absolute_error 0.662593 relative_absolute_error 0.705763 relative_absolute_error 0.70633 relative_absolute_error 0.673316 relative_absolute_error 0.731319 relative_absolute_error 0.645715 relative_absolute_error 0.645119 relative_absolute_error 0.709141 relative_absolute_error 0.715474 relative_absolute_error 0.692954 relative_absolute_error 0.65962 relative_absolute_error 0.736905 relative_absolute_error 0.654028 relative_absolute_error 0.70165 relative_absolute_error 0.661101 relative_absolute_error 0.70466 relative_absolute_error 0.776963 relative_absolute_error 0.700782 relative_absolute_error 0.725247 relative_absolute_error 0.695492 relative_absolute_error 0.739655 relative_absolute_error 0.704505 relative_absolute_error 0.677659 relative_absolute_error 0.68952 relative_absolute_error 0.701063 relative_absolute_error 0.714457 relative_absolute_error 0.665581 relative_absolute_error 0.695118 relative_absolute_error 0.708409 relative_absolute_error 0.670264 relative_absolute_error 0.675388 relative_absolute_error 0.684178 relative_absolute_error 0.746697 relative_absolute_error 0.698161 relative_absolute_error 0.684686 relative_absolute_error 0.691233 relative_absolute_error 0.721571 relative_absolute_error 0.629623 relative_absolute_error 0.674241 relative_absolute_error 0.691278 relative_absolute_error 0.763947 relative_absolute_error 0.674764 relative_absolute_error 0.68705 relative_absolute_error 0.688587 relative_absolute_error 0.717017 relative_absolute_error 0.706705 relative_absolute_error 0.610191 relative_absolute_error 0.656082 relative_absolute_error 0.703952 relative_absolute_error 0.669965 relative_absolute_error 0.621575 relative_absolute_error 0.629418 relative_absolute_error 0.65902 relative_absolute_error 0.706467 relative_absolute_error 0.668252 relative_absolute_error 0.72057 relative_absolute_error 0.711201 relative_absolute_error 0.662352 relative_absolute_error 0.668376 relative_absolute_error 0.679262 relative_absolute_error 0.644898 relative_absolute_error 0.675996 relative_absolute_error 0.712989 relative_absolute_error 0.654096 relative_absolute_error 0.655074 relative_absolute_error 0.722644 relative_absolute_error 0.66943 relative_absolute_error 0.690997 relative_absolute_error 0.663544 relative_absolute_error 0.648171 relative_absolute_error 0.729293 relative_absolute_error 0.661917 relative_absolute_error 0.697632 relative_absolute_error 0.697133 relative_absolute_error 0.681783 relative_absolute_error 0.67901 relative_absolute_error 0.740428 relative_absolute_error 0.707131 relative_absolute_error 0.682956 relative_absolute_error 0.68511 relative_absolute_error 0.639498 relative_absolute_error 0.668227 relative_absolute_error 0.658375 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.197129 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_prior_squared_error 0.19829 root_mean_squared_error 0.126152 root_mean_squared_error 0.124518 root_mean_squared_error 0.114942 root_mean_squared_error 0.134034 root_mean_squared_error 0.128978 root_mean_squared_error 0.129273 root_mean_squared_error 0.12946 root_mean_squared_error 0.125089 root_mean_squared_error 0.139595 root_mean_squared_error 0.125141 root_mean_squared_error 0.128099 root_mean_squared_error 0.134264 root_mean_squared_error 0.126521 root_mean_squared_error 0.122565 root_mean_squared_error 0.139793 root_mean_squared_error 0.132758 root_mean_squared_error 0.131959 root_mean_squared_error 0.12749 root_mean_squared_error 0.127052 root_mean_squared_error 0.143914 root_mean_squared_error 0.127671 root_mean_squared_error 0.140352 root_mean_squared_error 0.126838 root_mean_squared_error 0.120753 root_mean_squared_error 0.131818 root_mean_squared_error 0.129915 root_mean_squared_error 0.127622 root_mean_squared_error 0.125695 root_mean_squared_error 0.134884 root_mean_squared_error 0.126864 root_mean_squared_error 0.137506 root_mean_squared_error 0.124827 root_mean_squared_error 0.131532 root_mean_squared_error 0.134578 root_mean_squared_error 0.127991 root_mean_squared_error 0.133064 root_mean_squared_error 0.128963 root_mean_squared_error 0.137299 root_mean_squared_error 0.13322 root_mean_squared_error 0.122329 root_mean_squared_error 0.125287 root_mean_squared_error 0.126302 root_mean_squared_error 0.134325 root_mean_squared_error 0.129508 root_mean_squared_error 0.133735 root_mean_squared_error 0.133921 root_mean_squared_error 0.123189 root_mean_squared_error 0.132061 root_mean_squared_error 0.12226 root_mean_squared_error 0.136818 root_mean_squared_error 0.130481 root_mean_squared_error 0.130385 root_mean_squared_error 0.131985 root_mean_squared_error 0.130289 root_mean_squared_error 0.129339 root_mean_squared_error 0.12332 root_mean_squared_error 0.132446 root_mean_squared_error 0.136252 root_mean_squared_error 0.128421 root_mean_squared_error 0.126508 root_mean_squared_error 0.124676 root_mean_squared_error 0.132524 root_mean_squared_error 0.130066 root_mean_squared_error 0.115143 root_mean_squared_error 0.125112 root_mean_squared_error 0.12868 root_mean_squared_error 0.127692 root_mean_squared_error 0.120222 root_mean_squared_error 0.11888 root_mean_squared_error 0.125685 root_mean_squared_error 0.136068 root_mean_squared_error 0.125481 root_mean_squared_error 0.134395 root_mean_squared_error 0.135443 root_mean_squared_error 0.125596 root_mean_squared_error 0.127161 root_mean_squared_error 0.128139 root_mean_squared_error 0.126766 root_mean_squared_error 0.128342 root_mean_squared_error 0.130864 root_mean_squared_error 0.128373 root_mean_squared_error 0.125307 root_mean_squared_error 0.13794 root_mean_squared_error 0.130549 root_mean_squared_error 0.130133 root_mean_squared_error 0.126757 root_mean_squared_error 0.128252 root_mean_squared_error 0.134978 root_mean_squared_error 0.123996 root_mean_squared_error 0.134718 root_mean_squared_error 0.134205 root_mean_squared_error 0.125198 root_mean_squared_error 0.134572 root_mean_squared_error 0.137003 root_mean_squared_error 0.136586 root_mean_squared_error 0.125008 root_mean_squared_error 0.12254 root_mean_squared_error 0.127575 root_mean_squared_error 0.130215 root_mean_squared_error 0.128482 root_relative_squared_error 0.639948 root_relative_squared_error 0.631659 root_relative_squared_error 0.58308 root_relative_squared_error 0.679931 root_relative_squared_error 0.65428 root_relative_squared_error 0.65578 root_relative_squared_error 0.65673 root_relative_squared_error 0.634556 root_relative_squared_error 0.708139 root_relative_squared_error 0.63482 root_relative_squared_error 0.649823 root_relative_squared_error 0.681096 root_relative_squared_error 0.641818 root_relative_squared_error 0.621753 root_relative_squared_error 0.709147 root_relative_squared_error 0.673456 root_relative_squared_error 0.669404 root_relative_squared_error 0.646733 root_relative_squared_error 0.644512 root_relative_squared_error 0.730052 root_relative_squared_error 0.64765 root_relative_squared_error 0.711981 root_relative_squared_error 0.643425 root_relative_squared_error 0.612561 root_relative_squared_error 0.668688 root_relative_squared_error 0.659035 root_relative_squared_error 0.647406 root_relative_squared_error 0.637629 root_relative_squared_error 0.684241 root_relative_squared_error 0.643561 root_relative_squared_error 0.697546 root_relative_squared_error 0.633227 root_relative_squared_error 0.667238 root_relative_squared_error 0.682688 root_relative_squared_error 0.649275 root_relative_squared_error 0.675012 root_relative_squared_error 0.654206 root_relative_squared_error 0.696493 root_relative_squared_error 0.6758 root_relative_squared_error 0.620555 root_relative_squared_error 0.635558 root_relative_squared_error 0.640707 root_relative_squared_error 0.681406 root_relative_squared_error 0.656972 root_relative_squared_error 0.678415 root_relative_squared_error 0.679356 root_relative_squared_error 0.624917 root_relative_squared_error 0.669921 root_relative_squared_error 0.620201 root_relative_squared_error 0.694056 root_relative_squared_error 0.661906 root_relative_squared_error 0.661422 root_relative_squared_error 0.669536 root_relative_squared_error 0.660932 root_relative_squared_error 0.656116 root_relative_squared_error 0.625578 root_relative_squared_error 0.671875 root_relative_squared_error 0.691183 root_relative_squared_error 0.651456 root_relative_squared_error 0.641752 root_relative_squared_error 0.63246 root_relative_squared_error 0.67227 root_relative_squared_error 0.659802 root_relative_squared_error 0.5841 root_relative_squared_error 0.634671 root_relative_squared_error 0.652771 root_relative_squared_error 0.647758 root_relative_squared_error 0.609867 root_relative_squared_error 0.603059 root_relative_squared_error 0.637577 root_relative_squared_error 0.686205 root_relative_squared_error 0.632816 root_relative_squared_error 0.677766 root_relative_squared_error 0.683054 root_relative_squared_error 0.633395 root_relative_squared_error 0.641284 root_relative_squared_error 0.646218 root_relative_squared_error 0.639294 root_relative_squared_error 0.647244 root_relative_squared_error 0.659961 root_relative_squared_error 0.647398 root_relative_squared_error 0.631935 root_relative_squared_error 0.695646 root_relative_squared_error 0.658373 root_relative_squared_error 0.656277 root_relative_squared_error 0.639252 root_relative_squared_error 0.64679 root_relative_squared_error 0.68071 root_relative_squared_error 0.625325 root_relative_squared_error 0.679396 root_relative_squared_error 0.676811 root_relative_squared_error 0.631387 root_relative_squared_error 0.678662 root_relative_squared_error 0.690918 root_relative_squared_error 0.688818 root_relative_squared_error 0.630431 root_relative_squared_error 0.617984 root_relative_squared_error 0.643374 root_relative_squared_error 0.656689 root_relative_squared_error 0.647949 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 2240 usercpu_time_millis 2020 usercpu_time_millis 1950 usercpu_time_millis 1940 usercpu_time_millis 1840 usercpu_time_millis 1870 usercpu_time_millis 1950 usercpu_time_millis 2020 usercpu_time_millis 2100 usercpu_time_millis 1980 usercpu_time_millis 1920 usercpu_time_millis 1890 usercpu_time_millis 1970 usercpu_time_millis 1810 usercpu_time_millis 1880 usercpu_time_millis 1960 usercpu_time_millis 1830 usercpu_time_millis 1990 usercpu_time_millis 1960 usercpu_time_millis 2090 usercpu_time_millis 1930 usercpu_time_millis 1860 usercpu_time_millis 2000 usercpu_time_millis 1800 usercpu_time_millis 1910 usercpu_time_millis 1930 usercpu_time_millis 1840 usercpu_time_millis 1920 usercpu_time_millis 1980 usercpu_time_millis 1970 usercpu_time_millis 1830 usercpu_time_millis 1940 usercpu_time_millis 2150 usercpu_time_millis 1570 usercpu_time_millis 1830 usercpu_time_millis 1990 usercpu_time_millis 1960 usercpu_time_millis 1920 usercpu_time_millis 1950 usercpu_time_millis 1940 usercpu_time_millis 2040 usercpu_time_millis 1840 usercpu_time_millis 2090 usercpu_time_millis 1960 usercpu_time_millis 1870 usercpu_time_millis 1890 usercpu_time_millis 1910 usercpu_time_millis 2070 usercpu_time_millis 1970 usercpu_time_millis 2100 usercpu_time_millis 1820 usercpu_time_millis 1850 usercpu_time_millis 2350 usercpu_time_millis 1950 usercpu_time_millis 2000 usercpu_time_millis 1890 usercpu_time_millis 1970 usercpu_time_millis 1960 usercpu_time_millis 2050 usercpu_time_millis 1990 usercpu_time_millis 1800 usercpu_time_millis 1850 usercpu_time_millis 2370 usercpu_time_millis 1810 usercpu_time_millis 1890 usercpu_time_millis 1870 usercpu_time_millis 1960 usercpu_time_millis 2080 usercpu_time_millis 1910 usercpu_time_millis 1990 usercpu_time_millis 1880 usercpu_time_millis 2050 usercpu_time_millis 1970 usercpu_time_millis 1840 usercpu_time_millis 1890 usercpu_time_millis 1990 usercpu_time_millis 1940 usercpu_time_millis 1970 usercpu_time_millis 1980 usercpu_time_millis 2030 usercpu_time_millis 2000 usercpu_time_millis 2020 usercpu_time_millis 1890 usercpu_time_millis 1810 usercpu_time_millis 1930 usercpu_time_millis 1920 usercpu_time_millis 1930 usercpu_time_millis 2010 usercpu_time_millis 1970 usercpu_time_millis 1960 usercpu_time_millis 1800 usercpu_time_millis 1990 usercpu_time_millis 1860 usercpu_time_millis 1880 usercpu_time_millis 1890 usercpu_time_millis 1790 usercpu_time_millis 1940 usercpu_time_millis 1900 usercpu_time_millis 1970 usercpu_time_millis 1960 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 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