240358 2 Joaquin Vanschoren 4291 Supervised Classification predictive_accuracy 1098 weka.ConjunctiveRule(3) 1867 weka.classifiers.rules.ConjunctiveRule -- -N 3 -M 2.0 -P -1 -S 1 N 3 1098 M 2.0 1098 P -1 1098 S 1 1098 weka weka_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 801343 description https://api.openml.org/data/download/801343/weka_generated_run5748953496332658305.xml -1 801346 model_readable https://api.openml.org/data/download/801346/WekaModel_weka.classifiers.rules.ConjunctiveRule4707231254263611469.model -1 801345 model_serialized https://api.openml.org/data/download/801345/WekaSerialized_weka.classifiers.rules.ConjunctiveRule8337153225492297431.model -1 801344 predictions https://api.openml.org/data/download/801344/weka_generated_predictions7865160691511046451.arff area_under_roc_curve 0.768385 [0.768385,0.768385] average_cost 0 f_measure 0.749267 [0.743191,0.755387] kappa 0.498969 kb_relative_information_score 12770.857377 mean_absolute_error 0.367397 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.750267 [0.76508,0.735348] predictive_accuracy 0.749437 prior_entropy 0.999991 recall 0.749437 [0.722519,0.77655] relative_absolute_error 0.734803 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.431888 root_relative_squared_error 0.863781 scimark_benchmark 1344.724627 [809.0170323669337, 1002.5780215010175, 546.7117267308498, 1116.4565351932417, 3248.859816730195] total_cost 0 usercpu_time_millis 40 usercpu_time_millis_testing 0 usercpu_time_millis_training 40 area_under_roc_curve 0.767943 [0.767943,0.767943] area_under_roc_curve 0.732853 [0.732853,0.732853] area_under_roc_curve 0.739234 [0.739234,0.739234] area_under_roc_curve 0.732074 [0.732074,0.732074] area_under_roc_curve 0.760766 [0.760766,0.760766] area_under_roc_curve 0.748804 [0.748804,0.748804] area_under_roc_curve 0.753589 [0.753589,0.753589] area_under_roc_curve 0.760508 [0.760508,0.760508] area_under_roc_curve 0.732057 [0.732057,0.732057] area_under_roc_curve 0.770335 [0.770335,0.770335] area_under_roc_curve 0.719689 [0.719689,0.719689] area_under_roc_curve 0.768315 [0.768315,0.768315] area_under_roc_curve 0.711172 [0.711172,0.711172] area_under_roc_curve 0.78457 [0.78457,0.78457] area_under_roc_curve 0.722985 [0.722985,0.722985] area_under_roc_curve 0.734982 [0.734982,0.734982] area_under_roc_curve 0.76369 [0.76369,0.76369] area_under_roc_curve 0.726992 [0.726992,0.726992] area_under_roc_curve 0.7587 [0.7587,0.7587] area_under_roc_curve 0.729647 [0.729647,0.729647] area_under_roc_curve 0.789515 [0.789515,0.789515] area_under_roc_curve 0.768384 [0.768384,0.768384] area_under_roc_curve 0.766186 [0.766186,0.766186] area_under_roc_curve 0.753434 [0.753434,0.753434] area_under_roc_curve 0.748901 [0.748901,0.748901] area_under_roc_curve 0.704052 [0.704052,0.704052] area_under_roc_curve 0.797115 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average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.767835 [0.762836,0.772834] f_measure 0.724559 [0.68,0.769547] f_measure 0.738802 [0.749425,0.72818] f_measure 0.732057 [0.732057,0.732057] f_measure 0.756393 [0.723757,0.78903] f_measure 0.747902 [0.76298,0.732824] f_measure 0.753474 [0.758782,0.748166] f_measure 0.76004 [0.773756,0.746193] f_measure 0.727846 [0.693989,0.761702] f_measure 0.766725 [0.737705,0.795745] f_measure 0.718005 [0.742857,0.692913] f_measure 0.766576 [0.749354,0.783964] f_measure 0.705241 [0.666667,0.744186] f_measure 0.784541 [0.790698,0.778325] f_measure 0.719523 [0.691489,0.747826] f_measure 0.731198 [0.702413,0.760259] f_measure 0.760257 [0.734584,0.786177] f_measure 0.726295 [0.743243,0.709184] f_measure 0.757286 [0.741688,0.773034] f_measure 0.72966 [0.731591,0.727711] f_measure 0.789464 [0.788462,0.790476] f_measure 0.766011 [0.745407,0.786813] f_measure 0.761424 [0.730769,0.792373] f_measure 0.753313 [0.762125,0.744417] f_measure 0.748713 [0.744526,0.752941] f_measure 0.696901 [0.653631,0.740586] f_measure 0.794773 [0.775726,0.814004] f_measure 0.762964 [0.770302,0.755556] f_measure 0.758352 [0.761229,0.755448] f_measure 0.730166 [0.753304,0.706806] f_measure 0.724876 [0.726841,0.722892] f_measure 0.72075 [0.699482,0.742222] f_measure 0.762015 [0.725212,0.799172] f_measure 0.717509 [0.725581,0.70936] f_measure 0.758325 [0.762353,0.754258] f_measure 0.748229 [0.76082,0.735516] f_measure 0.726639 [0.698667,0.754881] f_measure 0.745643 [0.760181,0.730964] f_measure 0.734445 [0.736342,0.73253] f_measure 0.75802 [0.767816,0.74813] f_measure 0.691094 [0.663158,0.719298] f_measure 0.72075 [0.699482,0.742222] f_measure 0.741948 [0.708791,0.775424] f_measure 0.71535 [0.679452,0.751592] f_measure 0.765443 [0.771028,0.759804] f_measure 0.736299 [0.748858,0.723618] f_measure 0.780484 [0.761155,0.8] f_measure 0.741656 [0.717678,0.765864] f_measure 0.757154 [0.728261,0.786325] f_measure 0.767603 [0.777011,0.758105] f_measure 0.738637 [0.751708,0.725441] f_measure 0.746167 [0.75463,0.737624] f_measure 0.738511 [0.752834,0.724051] f_measure 0.779692 [0.787037,0.772277] f_measure 0.7488 [0.748201,0.749403] f_measure 0.766898 [0.782998,0.750643] f_measure 0.72488 [0.7,0.75] f_measure 0.76037 [0.770642,0.75] f_measure 0.71197 [0.672222,0.752101] f_measure 0.753584 [0.755344,0.751807] f_measure 0.744622 [0.76652,0.722513] f_measure 0.745707 [0.759091,0.732323] f_measure 0.731861 [0.696133,0.767932] f_measure 0.777358 [0.783217,0.771499] f_measure 0.765443 [0.771028,0.759804] f_measure 0.772097 [0.78458,0.759494] f_measure 0.71236 [0.674033,0.751055] f_measure 0.757037 [0.739018,0.775056] f_measure 0.743877 [0.709141,0.778947] f_measure 0.745993 [0.756881,0.735] f_measure 0.762513 [0.767059,0.757946] f_measure 0.755012 [0.764977,0.745] f_measure 0.76004 [0.766355,0.753695] f_measure 0.724309 [0.688705,0.760085] f_measure 0.749588 [0.765766,0.733333] f_measure 0.781433 [0.773067,0.789838] f_measure 0.716044 [0.675978,0.756303] f_measure 0.788714 [0.796296,0.781095] f_measure 0.743732 [0.721053,0.76652] f_measure 0.775779 [0.75969,0.791946] f_measure 0.80331 [0.806604,0.8] f_measure 0.776268 [0.789116,0.763359] f_measure 0.733749 [0.729927,0.737589] f_measure 0.742722 [0.756264,0.729114] f_measure 0.717848 [0.684783,0.751073] f_measure 0.752938 [0.749392,0.756501] f_measure 0.736208 [0.735577,0.736842] f_measure 0.699368 [0.668449,0.730435] f_measure 0.753807 [0.734375,0.773333] f_measure 0.71893 [0.731034,0.706767] f_measure 0.755387 [0.757143,0.753623] f_measure 0.729564 [0.752212,0.706806] f_measure 0.750556 [0.747573,0.753555] f_measure 0.750646 [0.72679,0.774617] f_measure 0.767065 [0.775982,0.758105] f_measure 0.779323 [0.783019,0.77561] f_measure 0.759667 [0.748744,0.770642] f_measure 0.76044 [0.78337,0.737401] f_measure 0.781019 [0.768448,0.793651] f_measure 0.740317 [0.727273,0.753425] kappa 0.535885 kappa 0.46496 kappa 0.478469 kappa 0.464127 kappa 0.521531 kappa 0.497608 kappa 0.507177 kappa 0.521279 kappa 0.464115 kappa 0.54067 kappa 0.43973 kappa 0.536225 kappa 0.421794 kappa 0.56927 kappa 0.445522 kappa 0.469458 kappa 0.526814 kappa 0.454233 kappa 0.517056 kappa 0.459305 kappa 0.578976 kappa 0.536289 kappa 0.53169 kappa 0.507019 kappa 0.4977 kappa 0.407526 kappa 0.593674 kappa 0.526186 kappa 0.516702 kappa 0.463685 kappa 0.449736 kappa 0.445395 kappa 0.536585 kappa 0.435264 kappa 0.51668 kappa 0.497378 kappa 0.459874 kappa 0.492556 kappa 0.468875 kappa 0.516569 kappa 0.388106 kappa 0.445395 kappa 0.493461 kappa 0.440883 kappa 0.531004 kappa 0.473455 kappa 0.564972 kappa 0.488507 kappa 0.522089 kappa 0.535715 kappa 0.47823 kappa 0.492672 kappa 0.478206 kappa 0.559678 kappa 0.497631 kappa 0.535587 kappa 0.455032 kappa 0.521345 kappa 0.436168 kappa 0.507154 kappa 0.492416 kappa 0.492823 kappa 0.47437 kappa 0.555024 kappa 0.531004 kappa 0.545225 kappa 0.436142 kappa 0.516746 kappa 0.498274 kappa 0.492626 kappa 0.525139 kappa 0.510699 kappa 0.520326 kappa 0.458373 kappa 0.501047 kappa 0.563632 kappa 0.444026 kappa 0.577867 kappa 0.491826 kappa 0.554113 kappa 0.606685 kappa 0.553836 kappa 0.467666 kappa 0.486684 kappa 0.443962 kappa 0.506032 kappa 0.472431 kappa 0.405573 kappa 0.51098 kappa 0.438736 kappa 0.510777 kappa 0.462616 kappa 0.501231 kappa 0.506225 kappa 0.534689 kappa 0.55872 kappa 0.520491 kappa 0.524964 kappa 0.563672 kappa 0.482142 kb_relative_information_score 135.049625 kb_relative_information_score 122.346226 kb_relative_information_score 124.062335 kb_relative_information_score 122.246583 kb_relative_information_score 130.580288 kb_relative_information_score 125.266469 kb_relative_information_score 127.552038 kb_relative_information_score 131.701731 kb_relative_information_score 120.37256 kb_relative_information_score 135.847506 kb_relative_information_score 113.340468 kb_relative_information_score 137.245254 kb_relative_information_score 109.631537 kb_relative_information_score 146.537467 kb_relative_information_score 113.450476 kb_relative_information_score 121.885373 kb_relative_information_score 135.436515 kb_relative_information_score 115.813803 kb_relative_information_score 132.885507 kb_relative_information_score 118.280223 kb_relative_information_score 147.178067 kb_relative_information_score 139.162869 kb_relative_information_score 134.995943 kb_relative_information_score 132.830086 kb_relative_information_score 125.236332 kb_relative_information_score 107.764016 kb_relative_information_score 148.97211 kb_relative_information_score 132.01644 kb_relative_information_score 131.904497 kb_relative_information_score 119.160426 kb_relative_information_score 116.97419 kb_relative_information_score 118.065412 kb_relative_information_score 136.186009 kb_relative_information_score 114.792541 kb_relative_information_score 129.89566 kb_relative_information_score 126.842185 kb_relative_information_score 120.12484 kb_relative_information_score 124.603176 kb_relative_information_score 120.405177 kb_relative_information_score 132.200577 kb_relative_information_score 102.221897 kb_relative_information_score 116.462059 kb_relative_information_score 126.699133 kb_relative_information_score 117.278079 kb_relative_information_score 133.983576 kb_relative_information_score 122.532919 kb_relative_information_score 141.525256 kb_relative_information_score 123.225212 kb_relative_information_score 132.112534 kb_relative_information_score 136.803776 kb_relative_information_score 124.692479 kb_relative_information_score 128.471471 kb_relative_information_score 121.630238 kb_relative_information_score 145.919987 kb_relative_information_score 126.307101 kb_relative_information_score 137.22975 kb_relative_information_score 117.167641 kb_relative_information_score 131.763406 kb_relative_information_score 111.870451 kb_relative_information_score 130.243518 kb_relative_information_score 126.917946 kb_relative_information_score 128.184489 kb_relative_information_score 122.703446 kb_relative_information_score 143.316954 kb_relative_information_score 133.698578 kb_relative_information_score 141.252572 kb_relative_information_score 113.196231 kb_relative_information_score 131.238531 kb_relative_information_score 127.907974 kb_relative_information_score 125.994292 kb_relative_information_score 133.200265 kb_relative_information_score 129.410491 kb_relative_information_score 131.19342 kb_relative_information_score 120.332161 kb_relative_information_score 126.318088 kb_relative_information_score 141.19688 kb_relative_information_score 113.70729 kb_relative_information_score 147.721787 kb_relative_information_score 125.818198 kb_relative_information_score 139.56013 kb_relative_information_score 153.27546 kb_relative_information_score 139.452335 kb_relative_information_score 119.621471 kb_relative_information_score 125.414293 kb_relative_information_score 113.433522 kb_relative_information_score 126.614212 kb_relative_information_score 120.149497 kb_relative_information_score 106.016322 kb_relative_information_score 131.02945 kb_relative_information_score 112.317207 kb_relative_information_score 130.061634 kb_relative_information_score 119.089071 kb_relative_information_score 126.519267 kb_relative_information_score 129.210839 kb_relative_information_score 133.105522 kb_relative_information_score 139.46259 kb_relative_information_score 132.892821 kb_relative_information_score 134.485799 kb_relative_information_score 144.146838 kb_relative_information_score 124.706487 mean_absolute_error 0.361005 mean_absolute_error 0.371415 mean_absolute_error 0.371259 mean_absolute_error 0.372874 mean_absolute_error 0.364064 mean_absolute_error 0.370836 mean_absolute_error 0.368657 mean_absolute_error 0.364039 mean_absolute_error 0.373684 mean_absolute_error 0.359313 mean_absolute_error 0.382326 mean_absolute_error 0.35746 mean_absolute_error 0.384337 mean_absolute_error 0.348449 mean_absolute_error 0.381513 mean_absolute_error 0.37195 mean_absolute_error 0.358178 mean_absolute_error 0.380227 mean_absolute_error 0.362454 mean_absolute_error 0.377634 mean_absolute_error 0.348166 mean_absolute_error 0.354811 mean_absolute_error 0.359294 mean_absolute_error 0.362001 mean_absolute_error 0.371129 mean_absolute_error 0.386431 mean_absolute_error 0.345864 mean_absolute_error 0.363934 mean_absolute_error 0.363825 mean_absolute_error 0.37662 mean_absolute_error 0.378538 mean_absolute_error 0.376095 mean_absolute_error 0.357298 mean_absolute_error 0.38045 mean_absolute_error 0.366371 mean_absolute_error 0.369006 mean_absolute_error 0.373703 mean_absolute_error 0.371372 mean_absolute_error 0.375533 mean_absolute_error 0.363454 mean_absolute_error 0.393017 mean_absolute_error 0.378149 mean_absolute_error 0.366718 mean_absolute_error 0.37636 mean_absolute_error 0.361835 mean_absolute_error 0.373029 mean_absolute_error 0.353594 mean_absolute_error 0.372166 mean_absolute_error 0.362914 mean_absolute_error 0.358663 mean_absolute_error 0.370187 mean_absolute_error 0.366716 mean_absolute_error 0.374391 mean_absolute_error 0.348426 mean_absolute_error 0.369572 mean_absolute_error 0.357961 mean_absolute_error 0.378097 mean_absolute_error 0.364162 mean_absolute_error 0.383356 mean_absolute_error 0.365355 mean_absolute_error 0.368308 mean_absolute_error 0.366861 mean_absolute_error 0.370901 mean_absolute_error 0.351483 mean_absolute_error 0.362408 mean_absolute_error 0.353416 mean_absolute_error 0.381925 mean_absolute_error 0.363736 mean_absolute_error 0.366431 mean_absolute_error 0.369863 mean_absolute_error 0.362268 mean_absolute_error 0.365964 mean_absolute_error 0.364559 mean_absolute_error 0.372837 mean_absolute_error 0.36945 mean_absolute_error 0.354432 mean_absolute_error 0.380609 mean_absolute_error 0.346736 mean_absolute_error 0.368822 mean_absolute_error 0.354759 mean_absolute_error 0.341498 mean_absolute_error 0.355777 mean_absolute_error 0.375987 mean_absolute_error 0.369746 mean_absolute_error 0.381754 mean_absolute_error 0.369503 mean_absolute_error 0.375714 mean_absolute_error 0.388703 mean_absolute_error 0.363279 mean_absolute_error 0.38339 mean_absolute_error 0.365386 mean_absolute_error 0.376234 mean_absolute_error 0.369346 mean_absolute_error 0.365474 mean_absolute_error 0.362814 mean_absolute_error 0.356342 mean_absolute_error 0.362254 mean_absolute_error 0.360472 mean_absolute_error 0.349609 mean_absolute_error 0.370285 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.76844 [0.78,0.756881] precision 0.761755 [0.85,0.672662] precision 0.740828 [0.721239,0.760417] precision 0.732091 [0.735577,0.728571] precision 0.780935 [0.856209,0.70566] precision 0.752415 [0.722222,0.782609] precision 0.75406 [0.743119,0.765] precision 0.763568 [0.737069,0.790323] precision 0.74737 [0.808917,0.685824] precision 0.788174 [0.859873,0.716475] precision 0.726226 [0.689796,0.763006] precision 0.774962 [0.819209,0.73029] precision 0.727803 [0.79085,0.664151] precision 0.785293 [0.772727,0.79798] precision 0.733077 [0.783133,0.68254] precision 0.74721 [0.803681,0.690196] precision 0.777411 [0.840491,0.713725] precision 0.730161 [0.705128,0.755435] precision 0.763602 [0.801105,0.725738] precision 0.729664 [0.729858,0.729469] precision 0.789599 [0.796117,0.783019] precision 0.777806 [0.830409,0.724696] precision 0.786356 [0.863636,0.708333] precision 0.7545 [0.73991,0.769231] precision 0.749318 [0.761194,0.737327] precision 0.723371 [0.790541,0.655556] precision 0.808699 [0.869822,0.746988] precision 0.763829 [0.751131,0.77665] precision 0.75841 [0.755869,0.760976] precision 0.738161 [0.70082,0.775862] precision 0.724879 [0.725118,0.724638] precision 0.728748 [0.767045,0.690083] precision 0.798924 [0.895105,0.701818] precision 0.718138 [0.709091,0.727273] precision 0.758494 [0.753488,0.763547] precision 0.750769 [0.729258,0.772487] precision 0.741097 [0.793939,0.687747] precision 0.749046 [0.724138,0.774194] precision 0.734449 [0.734597,0.7343] precision 0.759628 [0.742222,0.777202] precision 0.701425 [0.741176,0.66129] precision 0.728748 [0.767045,0.690083] precision 0.765768 [0.837662,0.693182] precision 0.736806 [0.8,0.673004] precision 0.765897 [0.756881,0.775] precision 0.738504 [0.719298,0.757895] precision 0.792663 [0.847953,0.736842] precision 0.754016 [0.804734,0.702811] precision 0.778233 [0.848101,0.707692] precision 0.769251 [0.751111,0.787565] precision 0.741115 [0.720524,0.761905] precision 0.747157 [0.734234,0.760204] precision 0.74155 [0.718615,0.764706] precision 0.78077 [0.765766,0.795918] precision 0.748872 [0.753623,0.744076] precision 0.77235 [0.738397,0.80663] precision 0.736157 [0.782353,0.689516] precision 0.762216 [0.743363,0.78125] precision 0.737621 [0.806667,0.66791] precision 0.753589 [0.753555,0.753623] precision 0.752918 [0.713115,0.793103] precision 0.749172 [0.722944,0.775401] precision 0.756925 [0.828947,0.684211] precision 0.778283 [0.763636,0.792929] precision 0.765897 [0.756881,0.775] precision 0.775401 [0.748918,0.802139] precision 0.736222 [0.802632,0.669173] precision 0.764185 [0.803371,0.725] precision 0.770653 [0.847682,0.692884] precision 0.747772 [0.730088,0.765625] precision 0.762867 [0.75463,0.771144] precision 0.756864 [0.737778,0.776042] precision 0.760764 [0.748858,0.772727] precision 0.746306 [0.811688,0.680608] precision 0.754485 [0.723404,0.785714] precision 0.783703 [0.807292,0.76] precision 0.74203 [0.812081,0.671642] precision 0.790244 [0.7713,0.809278] precision 0.754356 [0.80117,0.707317] precision 0.783316 [0.825843,0.740586] precision 0.803595 [0.795349,0.811881] precision 0.780332 [0.75,0.810811] precision 0.734098 [0.742574,0.725581] precision 0.745838 [0.721739,0.770053] precision 0.735511 [0.792453,0.678295] precision 0.753303 [0.762376,0.744186] precision 0.736239 [0.73913,0.733333] precision 0.71223 [0.757576,0.666667] precision 0.762465 [0.805714,0.719008] precision 0.720838 [0.70354,0.73822] precision 0.755414 [0.753555,0.757282] precision 0.737634 [0.699588,0.775862] precision 0.750824 [0.758621,0.742991] precision 0.763285 [0.815476,0.710843] precision 0.768737 [0.75,0.787565] precision 0.779593 [0.772093,0.787129] precision 0.762663 [0.78836,0.736842] precision 0.772009 [0.721774,0.822485] precision 0.785946 [0.820652,0.751073] precision 0.743786 [0.770053,0.717391] predictive_accuracy 0.767943 predictive_accuracy 0.732057 predictive_accuracy 0.739234 predictive_accuracy 0.732057 predictive_accuracy 0.760766 predictive_accuracy 0.748804 predictive_accuracy 0.753589 predictive_accuracy 0.760766 predictive_accuracy 0.732057 predictive_accuracy 0.770335 predictive_accuracy 0.720096 predictive_accuracy 0.767943 predictive_accuracy 0.710526 predictive_accuracy 0.784689 predictive_accuracy 0.722488 predictive_accuracy 0.73445 predictive_accuracy 0.763158 predictive_accuracy 0.727273 predictive_accuracy 0.758373 predictive_accuracy 0.729665 predictive_accuracy 0.789474 predictive_accuracy 0.767943 predictive_accuracy 0.76555 predictive_accuracy 0.753589 predictive_accuracy 0.748804 predictive_accuracy 0.703349 predictive_accuracy 0.796651 predictive_accuracy 0.763158 predictive_accuracy 0.758373 predictive_accuracy 0.732057 predictive_accuracy 0.72488 predictive_accuracy 0.722488 predictive_accuracy 0.767943 predictive_accuracy 0.717703 predictive_accuracy 0.758373 predictive_accuracy 0.748804 predictive_accuracy 0.729665 predictive_accuracy 0.746411 predictive_accuracy 0.73445 predictive_accuracy 0.758373 predictive_accuracy 0.69378 predictive_accuracy 0.722488 predictive_accuracy 0.746411 predictive_accuracy 0.720096 predictive_accuracy 0.76555 predictive_accuracy 0.736842 predictive_accuracy 0.782297 predictive_accuracy 0.744019 predictive_accuracy 0.760766 predictive_accuracy 0.767943 predictive_accuracy 0.739234 predictive_accuracy 0.746411 predictive_accuracy 0.739234 predictive_accuracy 0.779904 predictive_accuracy 0.748804 predictive_accuracy 0.767943 predictive_accuracy 0.727273 predictive_accuracy 0.760766 predictive_accuracy 0.717703 predictive_accuracy 0.753589 predictive_accuracy 0.746411 predictive_accuracy 0.746411 predictive_accuracy 0.736842 predictive_accuracy 0.777512 predictive_accuracy 0.76555 predictive_accuracy 0.772727 predictive_accuracy 0.717703 predictive_accuracy 0.758373 predictive_accuracy 0.748804 predictive_accuracy 0.746411 predictive_accuracy 0.76259 predictive_accuracy 0.755396 predictive_accuracy 0.760192 predictive_accuracy 0.729017 predictive_accuracy 0.7506 predictive_accuracy 0.781775 predictive_accuracy 0.721823 predictive_accuracy 0.788969 predictive_accuracy 0.745803 predictive_accuracy 0.776978 predictive_accuracy 0.803357 predictive_accuracy 0.776978 predictive_accuracy 0.733813 predictive_accuracy 0.743405 predictive_accuracy 0.721823 predictive_accuracy 0.752998 predictive_accuracy 0.736211 predictive_accuracy 0.702638 predictive_accuracy 0.755396 predictive_accuracy 0.719424 predictive_accuracy 0.755396 predictive_accuracy 0.731415 predictive_accuracy 0.7506 predictive_accuracy 0.752998 predictive_accuracy 0.767386 predictive_accuracy 0.779376 predictive_accuracy 0.760192 predictive_accuracy 0.76259 predictive_accuracy 0.781775 predictive_accuracy 0.741007 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.767943 [0.746411,0.789474] recall 0.732057 [0.566667,0.899038] recall 0.739234 [0.779904,0.698565] recall 0.732057 [0.728571,0.735577] recall 0.760766 [0.626794,0.894737] recall 0.748804 [0.808612,0.688995] recall 0.753589 [0.77512,0.732057] recall 0.760766 [0.814286,0.706731] recall 0.732057 [0.607656,0.856459] recall 0.770335 [0.645933,0.894737] recall 0.720096 [0.804762,0.634615] recall 0.767943 [0.690476,0.846154] recall 0.710526 [0.57619,0.846154] recall 0.784689 [0.809524,0.759615] recall 0.722488 [0.619048,0.826923] recall 0.73445 [0.62381,0.846154] recall 0.763158 [0.652381,0.875] recall 0.727273 [0.785714,0.668269] recall 0.758373 [0.690476,0.826923] recall 0.729665 [0.733333,0.725962] recall 0.789474 [0.780952,0.798077] recall 0.767943 [0.67619,0.860577] recall 0.76555 [0.633333,0.899038] recall 0.753589 [0.785714,0.721154] recall 0.748804 [0.728571,0.769231] recall 0.703349 [0.557143,0.850962] recall 0.796651 [0.7,0.894231] recall 0.763158 [0.790476,0.735577] recall 0.758373 [0.766667,0.75] recall 0.732057 [0.814286,0.649038] recall 0.72488 [0.728571,0.721154] recall 0.722488 [0.642857,0.802885] recall 0.767943 [0.609524,0.927885] recall 0.717703 [0.742857,0.692308] recall 0.758373 [0.771429,0.745192] recall 0.748804 [0.795238,0.701923] recall 0.729665 [0.62381,0.836538] recall 0.746411 [0.8,0.692308] recall 0.73445 [0.738095,0.730769] recall 0.758373 [0.795238,0.721154] recall 0.69378 [0.6,0.788462] recall 0.722488 [0.642857,0.802885] recall 0.746411 [0.614286,0.879808] recall 0.720096 [0.590476,0.850962] recall 0.76555 [0.785714,0.745192] recall 0.736842 [0.780952,0.692308] recall 0.782297 [0.690476,0.875] recall 0.744019 [0.647619,0.841346] recall 0.760766 [0.638095,0.884615] recall 0.767943 [0.804762,0.730769] recall 0.739234 [0.785714,0.692308] recall 0.746411 [0.77619,0.716346] recall 0.739234 [0.790476,0.6875] recall 0.779904 [0.809524,0.75] recall 0.748804 [0.742857,0.754808] recall 0.767943 [0.833333,0.701923] recall 0.727273 [0.633333,0.822115] recall 0.760766 [0.8,0.721154] recall 0.717703 [0.57619,0.860577] recall 0.753589 [0.757143,0.75] recall 0.746411 [0.828571,0.663462] recall 0.746411 [0.799043,0.69378] recall 0.736842 [0.6,0.875] recall 0.777512 [0.803828,0.751196] recall 0.76555 [0.785714,0.745192] recall 0.772727 [0.82381,0.721154] recall 0.717703 [0.580952,0.855769] recall 0.758373 [0.684211,0.832536] recall 0.748804 [0.609524,0.889423] recall 0.746411 [0.785714,0.706731] recall 0.76259 [0.779904,0.745192] recall 0.755396 [0.794258,0.716346] recall 0.760192 [0.784689,0.735577] recall 0.729017 [0.598086,0.860577] recall 0.7506 [0.813397,0.6875] recall 0.781775 [0.741627,0.822115] recall 0.721823 [0.578947,0.865385] recall 0.788969 [0.822967,0.754808] recall 0.745803 [0.655502,0.836538] recall 0.776978 [0.703349,0.850962] recall 0.803357 [0.818182,0.788462] recall 0.776978 [0.832536,0.721154] recall 0.733813 [0.717703,0.75] recall 0.743405 [0.794258,0.692308] recall 0.721823 [0.602871,0.841346] recall 0.752998 [0.736842,0.769231] recall 0.736211 [0.732057,0.740385] recall 0.702638 [0.598086,0.807692] recall 0.755396 [0.674641,0.836538] recall 0.719424 [0.760766,0.677885] recall 0.755396 [0.760766,0.75] recall 0.731415 [0.813397,0.649038] recall 0.7506 [0.736842,0.764423] recall 0.752998 [0.655502,0.850962] recall 0.767386 [0.803828,0.730769] recall 0.779376 [0.794258,0.764423] recall 0.760192 [0.712919,0.807692] recall 0.76259 [0.856459,0.668269] recall 0.781775 [0.722488,0.841346] recall 0.741007 [0.688995,0.793269] relative_absolute_error 0.722009 relative_absolute_error 0.742843 relative_absolute_error 0.742517 relative_absolute_error 0.745762 relative_absolute_error 0.728128 relative_absolute_error 0.741671 relative_absolute_error 0.737314 relative_absolute_error 0.72809 relative_absolute_error 0.747368 relative_absolute_error 0.718625 relative_absolute_error 0.764666 relative_absolute_error 0.714931 relative_absolute_error 0.768686 relative_absolute_error 0.69691 relative_absolute_error 0.763039 relative_absolute_error 0.743912 relative_absolute_error 0.716369 relative_absolute_error 0.760467 relative_absolute_error 0.724921 relative_absolute_error 0.75528 relative_absolute_error 0.696344 relative_absolute_error 0.709634 relative_absolute_error 0.718601 relative_absolute_error 0.724014 relative_absolute_error 0.742271 relative_absolute_error 0.772876 relative_absolute_error 0.69174 relative_absolute_error 0.727881 relative_absolute_error 0.727662 relative_absolute_error 0.753253 relative_absolute_error 0.75709 relative_absolute_error 0.752204 relative_absolute_error 0.714609 relative_absolute_error 0.760913 relative_absolute_error 0.732754 relative_absolute_error 0.738024 relative_absolute_error 0.747419 relative_absolute_error 0.742757 relative_absolute_error 0.751079 relative_absolute_error 0.72692 relative_absolute_error 0.786048 relative_absolute_error 0.756311 relative_absolute_error 0.733449 relative_absolute_error 0.752734 relative_absolute_error 0.723682 relative_absolute_error 0.746071 relative_absolute_error 0.7072 relative_absolute_error 0.744346 relative_absolute_error 0.72584 relative_absolute_error 0.717338 relative_absolute_error 0.740387 relative_absolute_error 0.733444 relative_absolute_error 0.748795 relative_absolute_error 0.696864 relative_absolute_error 0.739158 relative_absolute_error 0.715935 relative_absolute_error 0.756206 relative_absolute_error 0.728337 relative_absolute_error 0.766724 relative_absolute_error 0.730723 relative_absolute_error 0.736629 relative_absolute_error 0.733722 relative_absolute_error 0.741814 relative_absolute_error 0.702966 relative_absolute_error 0.724829 relative_absolute_error 0.706844 relative_absolute_error 0.763864 relative_absolute_error 0.727472 relative_absolute_error 0.732875 relative_absolute_error 0.739739 relative_absolute_error 0.724542 relative_absolute_error 0.731934 relative_absolute_error 0.729124 relative_absolute_error 0.745679 relative_absolute_error 0.738907 relative_absolute_error 0.70887 relative_absolute_error 0.761224 relative_absolute_error 0.693477 relative_absolute_error 0.737651 relative_absolute_error 0.709523 relative_absolute_error 0.683002 relative_absolute_error 0.71156 relative_absolute_error 0.751981 relative_absolute_error 0.739498 relative_absolute_error 0.763515 relative_absolute_error 0.739012 relative_absolute_error 0.751434 relative_absolute_error 0.777412 relative_absolute_error 0.726564 relative_absolute_error 0.766786 relative_absolute_error 0.730779 relative_absolute_error 0.752474 relative_absolute_error 0.738698 relative_absolute_error 0.730955 relative_absolute_error 0.725634 relative_absolute_error 0.71269 relative_absolute_error 0.724514 relative_absolute_error 0.720951 relative_absolute_error 0.699223 relative_absolute_error 0.740577 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.422224 root_mean_squared_error 0.435949 root_mean_squared_error 0.43955 root_mean_squared_error 0.444986 root_mean_squared_error 0.420863 root_mean_squared_error 0.432729 root_mean_squared_error 0.430887 root_mean_squared_error 0.425832 root_mean_squared_error 0.439549 root_mean_squared_error 0.415922 root_mean_squared_error 0.449374 root_mean_squared_error 0.419965 root_mean_squared_error 0.451691 root_mean_squared_error 0.411412 root_mean_squared_error 0.446378 root_mean_squared_error 0.439021 root_mean_squared_error 0.420821 root_mean_squared_error 0.445907 root_mean_squared_error 0.426814 root_mean_squared_error 0.445737 root_mean_squared_error 0.408578 root_mean_squared_error 0.418993 root_mean_squared_error 0.417554 root_mean_squared_error 0.431035 root_mean_squared_error 0.43386 root_mean_squared_error 0.455433 root_mean_squared_error 0.400861 root_mean_squared_error 0.425364 root_mean_squared_error 0.428179 root_mean_squared_error 0.442476 root_mean_squared_error 0.449599 root_mean_squared_error 0.44893 root_mean_squared_error 0.41329 root_mean_squared_error 0.453727 root_mean_squared_error 0.428094 root_mean_squared_error 0.433382 root_mean_squared_error 0.442491 root_mean_squared_error 0.43453 root_mean_squared_error 0.44273 root_mean_squared_error 0.427933 root_mean_squared_error 0.465001 root_mean_squared_error 0.448475 root_mean_squared_error 0.429603 root_mean_squared_error 0.446764 root_mean_squared_error 0.423911 root_mean_squared_error 0.440938 root_mean_squared_error 0.410377 root_mean_squared_error 0.433603 root_mean_squared_error 0.421648 root_mean_squared_error 0.421789 root_mean_squared_error 0.439901 root_mean_squared_error 0.436098 root_mean_squared_error 0.43896 root_mean_squared_error 0.414279 root_mean_squared_error 0.434928 root_mean_squared_error 0.420881 root_mean_squared_error 0.444139 root_mean_squared_error 0.426203 root_mean_squared_error 0.446495 root_mean_squared_error 0.431127 root_mean_squared_error 0.43356 root_mean_squared_error 0.434783 root_mean_squared_error 0.435073 root_mean_squared_error 0.415902 root_mean_squared_error 0.423821 root_mean_squared_error 0.418293 root_mean_squared_error 0.447485 root_mean_squared_error 0.426542 root_mean_squared_error 0.427481 root_mean_squared_error 0.435116 root_mean_squared_error 0.425419 root_mean_squared_error 0.429576 root_mean_squared_error 0.426961 root_mean_squared_error 0.440977 root_mean_squared_error 0.431731 root_mean_squared_error 0.413841 root_mean_squared_error 0.443787 root_mean_squared_error 0.408491 root_mean_squared_error 0.43313 root_mean_squared_error 0.415037 root_mean_squared_error 0.400673 root_mean_squared_error 0.415648 root_mean_squared_error 0.443071 root_mean_squared_error 0.436661 root_mean_squared_error 0.445858 root_mean_squared_error 0.431349 root_mean_squared_error 0.441525 root_mean_squared_error 0.458974 root_mean_squared_error 0.427827 root_mean_squared_error 0.451272 root_mean_squared_error 0.430019 root_mean_squared_error 0.442833 root_mean_squared_error 0.432817 root_mean_squared_error 0.428244 root_mean_squared_error 0.422272 root_mean_squared_error 0.415234 root_mean_squared_error 0.426227 root_mean_squared_error 0.423409 root_mean_squared_error 0.412619 root_mean_squared_error 0.438029 root_relative_squared_error 0.844442 root_relative_squared_error 0.871907 root_relative_squared_error 0.879094 root_relative_squared_error 0.889981 root_relative_squared_error 0.84172 root_relative_squared_error 0.865452 root_relative_squared_error 0.861769 root_relative_squared_error 0.851674 root_relative_squared_error 0.879092 root_relative_squared_error 0.831839 root_relative_squared_error 0.898758 root_relative_squared_error 0.839939 root_relative_squared_error 0.903391 root_relative_squared_error 0.822833 root_relative_squared_error 0.892766 root_relative_squared_error 0.878051 root_relative_squared_error 0.841651 root_relative_squared_error 0.891823 root_relative_squared_error 0.853637 root_relative_squared_error 0.891484 root_relative_squared_error 0.817166 root_relative_squared_error 0.837995 root_relative_squared_error 0.835116 root_relative_squared_error 0.862079 root_relative_squared_error 0.867728 root_relative_squared_error 0.910876 root_relative_squared_error 0.801731 root_relative_squared_error 0.850736 root_relative_squared_error 0.856367 root_relative_squared_error 0.884961 root_relative_squared_error 0.899208 root_relative_squared_error 0.897869 root_relative_squared_error 0.826588 root_relative_squared_error 0.907464 root_relative_squared_error 0.856198 root_relative_squared_error 0.866773 root_relative_squared_error 0.884992 root_relative_squared_error 0.869069 root_relative_squared_error 0.885469 root_relative_squared_error 0.855874 root_relative_squared_error 0.930013 root_relative_squared_error 0.896961 root_relative_squared_error 0.859216 root_relative_squared_error 0.893538 root_relative_squared_error 0.847831 root_relative_squared_error 0.881885 root_relative_squared_error 0.820764 root_relative_squared_error 0.867216 root_relative_squared_error 0.843305 root_relative_squared_error 0.843587 root_relative_squared_error 0.879811 root_relative_squared_error 0.872205 root_relative_squared_error 0.87793 root_relative_squared_error 0.828567 root_relative_squared_error 0.869866 root_relative_squared_error 0.841771 root_relative_squared_error 0.888288 root_relative_squared_error 0.852414 root_relative_squared_error 0.892999 root_relative_squared_error 0.862263 root_relative_squared_error 0.867129 root_relative_squared_error 0.869561 root_relative_squared_error 0.870156 root_relative_squared_error 0.831798 root_relative_squared_error 0.847652 root_relative_squared_error 0.836596 root_relative_squared_error 0.894979 root_relative_squared_error 0.853079 root_relative_squared_error 0.854971 root_relative_squared_error 0.870242 root_relative_squared_error 0.85084 root_relative_squared_error 0.859154 root_relative_squared_error 0.853925 root_relative_squared_error 0.881956 root_relative_squared_error 0.863464 root_relative_squared_error 0.827684 root_relative_squared_error 0.887577 root_relative_squared_error 0.816983 root_relative_squared_error 0.866262 root_relative_squared_error 0.830075 root_relative_squared_error 0.801347 root_relative_squared_error 0.831297 root_relative_squared_error 0.886145 root_relative_squared_error 0.873324 root_relative_squared_error 0.891719 root_relative_squared_error 0.862701 root_relative_squared_error 0.883052 root_relative_squared_error 0.917949 root_relative_squared_error 0.855656 root_relative_squared_error 0.902546 root_relative_squared_error 0.860041 root_relative_squared_error 0.885668 root_relative_squared_error 0.865637 root_relative_squared_error 0.85649 root_relative_squared_error 0.844545 root_relative_squared_error 0.83047 root_relative_squared_error 0.852457 root_relative_squared_error 0.846819 root_relative_squared_error 0.825239 root_relative_squared_error 0.876061 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 30 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 30 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis 40 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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