395411 2 Joaquin Vanschoren 4417 Supervised Classification predictive_accuracy 1168 weka.BayesNet_K2(6) 1921 weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 D true 1168 Q weka.classifiers.bayes.net.search.local.K2 1168 P 1 1169 S BAYES 1169 weka weka_3.7.12 847 wind https://www.openml.org/data/download/53381/wind.arff -1 1382553 description https://api.openml.org/data/download/1382553/weka_generated_run6322661801938802105.xml -1 1382556 model_readable https://api.openml.org/data/download/1382556/WekaModel_weka.classifiers.bayes.BayesNet7591961273160492349.model -1 1382555 model_serialized https://api.openml.org/data/download/1382555/WekaSerialized_weka.classifiers.bayes.BayesNet4859169448020065011.model -1 1382554 predictions https://api.openml.org/data/download/1382554/weka_generated_predictions5263152751742190085.arff area_under_roc_curve 0.886892 [0.886892,0.886892] average_cost 0 f_measure 0.81088 [0.822153,0.798038] kappa 0.620192 kb_relative_information_score 40345.27667 mean_absolute_error 0.192603 mean_prior_absolute_error 0.497881 number_of_instances 65740 [35010,30730] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.810904 [0.823401,0.796666] predictive_accuracy 0.810861 prior_entropy 0.996942 recall 0.810861 [0.820908,0.799414] relative_absolute_error 0.386845 root_mean_prior_squared_error 0.498939 root_mean_squared_error 0.415355 root_relative_squared_error 0.832476 scimark_benchmark 945.019447 [566.3118662944468, 1014.7208839634673, 480.85168147774846, 910.5383976697751, 1752.6744042525834] total_cost 0 usercpu_time_millis 60 usercpu_time_millis_testing 20 usercpu_time_millis_training 40 area_under_roc_curve 0.887798 [0.887798,0.887798] area_under_roc_curve 0.89275 [0.89275,0.89275] area_under_roc_curve 0.899816 [0.899816,0.899816] area_under_roc_curve 0.893803 [0.893803,0.893803] area_under_roc_curve 0.88366 [0.88366,0.88366] area_under_roc_curve 0.913105 [0.913105,0.913105] area_under_roc_curve 0.91602 [0.91602,0.91602] area_under_roc_curve 0.888443 [0.888443,0.888443] area_under_roc_curve 0.877859 [0.877859,0.877859] area_under_roc_curve 0.883836 [0.883836,0.883836] area_under_roc_curve 0.881642 [0.881642,0.881642] area_under_roc_curve 0.883075 [0.883075,0.883075] area_under_roc_curve 0.884174 [0.884174,0.884174] area_under_roc_curve 0.890413 [0.890413,0.890413] area_under_roc_curve 0.916104 [0.916104,0.916104] area_under_roc_curve 0.883414 [0.883414,0.883414] area_under_roc_curve 0.885659 [0.885659,0.885659] area_under_roc_curve 0.886535 [0.886535,0.886535] area_under_roc_curve 0.899722 [0.899722,0.899722] area_under_roc_curve 0.898349 [0.898349,0.898349] area_under_roc_curve 0.914601 [0.914601,0.914601] area_under_roc_curve 0.885691 [0.885691,0.885691] area_under_roc_curve 0.886224 [0.886224,0.886224] area_under_roc_curve 0.896623 [0.896623,0.896623] area_under_roc_curve 0.894365 [0.894365,0.894365] area_under_roc_curve 0.876002 [0.876002,0.876002] area_under_roc_curve 0.893428 [0.893428,0.893428] area_under_roc_curve 0.899545 [0.899545,0.899545] area_under_roc_curve 0.903919 [0.903919,0.903919] area_under_roc_curve 0.895571 [0.895571,0.895571] area_under_roc_curve 0.882982 [0.882982,0.882982] area_under_roc_curve 0.880922 [0.880922,0.880922] area_under_roc_curve 0.889564 [0.889564,0.889564] area_under_roc_curve 0.883219 [0.883219,0.883219] area_under_roc_curve 0.895056 [0.895056,0.895056] area_under_roc_curve 0.870603 [0.870603,0.870603] area_under_roc_curve 0.89164 [0.89164,0.89164] area_under_roc_curve 0.897403 [0.897403,0.897403] area_under_roc_curve 0.903159 [0.903159,0.903159] area_under_roc_curve 0.879675 [0.879675,0.879675] area_under_roc_curve 0.889888 [0.889888,0.889888] area_under_roc_curve 0.866063 [0.866063,0.866063] area_under_roc_curve 0.894625 [0.894625,0.894625] area_under_roc_curve 0.859321 [0.859321,0.859321] area_under_roc_curve 0.864197 [0.864197,0.864197] area_under_roc_curve 0.898595 [0.898595,0.898595] area_under_roc_curve 0.888781 [0.888781,0.888781] area_under_roc_curve 0.888292 [0.888292,0.888292] area_under_roc_curve 0.878869 [0.878869,0.878869] area_under_roc_curve 0.892085 [0.892085,0.892085] area_under_roc_curve 0.881089 [0.881089,0.881089] area_under_roc_curve 0.903211 [0.903211,0.903211] area_under_roc_curve 0.896254 [0.896254,0.896254] area_under_roc_curve 0.905268 [0.905268,0.905268] area_under_roc_curve 0.882871 [0.882871,0.882871] area_under_roc_curve 0.88684 [0.88684,0.88684] area_under_roc_curve 0.858018 [0.858018,0.858018] area_under_roc_curve 0.89302 [0.89302,0.89302] area_under_roc_curve 0.879176 [0.879176,0.879176] area_under_roc_curve 0.886296 [0.886296,0.886296] area_under_roc_curve 0.907389 [0.907389,0.907389] area_under_roc_curve 0.893336 [0.893336,0.893336] area_under_roc_curve 0.89355 [0.89355,0.89355] area_under_roc_curve 0.88087 [0.88087,0.88087] area_under_roc_curve 0.883225 [0.883225,0.883225] area_under_roc_curve 0.868972 [0.868972,0.868972] area_under_roc_curve 0.885421 [0.885421,0.885421] area_under_roc_curve 0.902899 [0.902899,0.902899] area_under_roc_curve 0.878357 [0.878357,0.878357] area_under_roc_curve 0.87751 [0.87751,0.87751] area_under_roc_curve 0.882545 [0.882545,0.882545] area_under_roc_curve 0.863178 [0.863178,0.863178] area_under_roc_curve 0.874751 [0.874751,0.874751] area_under_roc_curve 0.880428 [0.880428,0.880428] area_under_roc_curve 0.864728 [0.864728,0.864728] area_under_roc_curve 0.907762 [0.907762,0.907762] area_under_roc_curve 0.873644 [0.873644,0.873644] area_under_roc_curve 0.890214 [0.890214,0.890214] area_under_roc_curve 0.867389 [0.867389,0.867389] area_under_roc_curve 0.888157 [0.888157,0.888157] area_under_roc_curve 0.893299 [0.893299,0.893299] area_under_roc_curve 0.896389 [0.896389,0.896389] area_under_roc_curve 0.893806 [0.893806,0.893806] area_under_roc_curve 0.890879 [0.890879,0.890879] area_under_roc_curve 0.889055 [0.889055,0.889055] area_under_roc_curve 0.870973 [0.870973,0.870973] area_under_roc_curve 0.88584 [0.88584,0.88584] area_under_roc_curve 0.843462 [0.843462,0.843462] area_under_roc_curve 0.891922 [0.891922,0.891922] area_under_roc_curve 0.884128 [0.884128,0.884128] area_under_roc_curve 0.846519 [0.846519,0.846519] area_under_roc_curve 0.903941 [0.903941,0.903941] area_under_roc_curve 0.857403 [0.857403,0.857403] area_under_roc_curve 0.890768 [0.890768,0.890768] area_under_roc_curve 0.896678 [0.896678,0.896678] area_under_roc_curve 0.895942 [0.895942,0.895942] area_under_roc_curve 0.887348 [0.887348,0.887348] area_under_roc_curve 0.881903 [0.881903,0.881903] area_under_roc_curve 0.884616 [0.884616,0.884616] area_under_roc_curve 0.877427 [0.877427,0.877427] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.82844 [0.835517,0.82035] f_measure 0.81586 [0.829817,0.8] f_measure 0.832752 [0.844193,0.819672] f_measure 0.811707 [0.819767,0.802548] f_measure 0.808709 [0.816327,0.8] f_measure 0.849458 [0.859972,0.837438] f_measure 0.845039 [0.853448,0.835484] f_measure 0.821938 [0.835905,0.80597] f_measure 0.788986 [0.796486,0.780411] f_measure 0.802505 [0.813754,0.789644] f_measure 0.799463 [0.810345,0.787097] f_measure 0.81772 [0.827089,0.807074] f_measure 0.814552 [0.826211,0.801303] f_measure 0.801049 [0.81042,0.7904] f_measure 0.826809 [0.836207,0.816129] f_measure 0.807043 [0.817791,0.79483] f_measure 0.822091 [0.834043,0.808511] f_measure 0.811617 [0.821839,0.8] f_measure 0.829819 [0.839542,0.81877] f_measure 0.834514 [0.838996,0.829421] f_measure 0.825348 [0.833575,0.816] f_measure 0.809652 [0.825175,0.792013] f_measure 0.811206 [0.826331,0.79402] f_measure 0.82359 [0.835694,0.809836] f_measure 0.823796 [0.832853,0.813505] f_measure 0.797657 [0.812412,0.78089] f_measure 0.819292 [0.827286,0.810207] f_measure 0.811512 [0.823362,0.798046] f_measure 0.823495 [0.83662,0.808581] f_measure 0.817354 [0.831461,0.801325] f_measure 0.834215 [0.845827,0.821018] f_measure 0.806831 [0.820874,0.790774] f_measure 0.782878 [0.791241,0.773376] f_measure 0.799431 [0.811429,0.785714] f_measure 0.834215 [0.845827,0.821018] f_measure 0.805648 [0.813411,0.796825] f_measure 0.81479 [0.821637,0.806962] f_measure 0.837256 [0.848656,0.824302] f_measure 0.813088 [0.824034,0.800648] f_measure 0.811738 [0.816568,0.80625] f_measure 0.808289 [0.818966,0.796117] f_measure 0.791535 [0.803443,0.777958] f_measure 0.825086 [0.833575,0.815409] f_measure 0.791409 [0.805121,0.775777] f_measure 0.772897 [0.790436,0.752902] f_measure 0.809586 [0.823197,0.794069] f_measure 0.818772 [0.831206,0.804598] f_measure 0.814226 [0.826705,0.8] f_measure 0.79916 [0.810345,0.786408] f_measure 0.820174 [0.833803,0.804636] f_measure 0.803254 [0.81958,0.784641] f_measure 0.829659 [0.837681,0.820513] f_measure 0.815679 [0.828854,0.800659] f_measure 0.832659 [0.841499,0.822581] f_measure 0.806835 [0.816208,0.796148] f_measure 0.802203 [0.813218,0.789644] f_measure 0.764272 [0.775036,0.752] f_measure 0.817524 [0.825073,0.808917] f_measure 0.811084 [0.824859,0.79538] f_measure 0.79773 [0.806967,0.7872] f_measure 0.832499 [0.84375,0.819672] f_measure 0.811263 [0.822857,0.798046] f_measure 0.826547 [0.836207,0.815534] f_measure 0.808256 [0.819484,0.795455] f_measure 0.818726 [0.831683,0.803954] f_measure 0.794353 [0.809052,0.777595] f_measure 0.811263 [0.822857,0.798046] f_measure 0.815911 [0.825899,0.804523] f_measure 0.817313 [0.82906,0.803922] f_measure 0.792743 [0.808451,0.774834] f_measure 0.796082 [0.808023,0.782468] f_measure 0.777778 [0.791429,0.762215] f_measure 0.780776 [0.794872,0.764706] f_measure 0.815629 [0.829337,0.8] f_measure 0.786866 [0.80057,0.771242] f_measure 0.843271 [0.852224,0.833063] f_measure 0.788453 [0.801144,0.773984] f_measure 0.824944 [0.835949,0.812398] f_measure 0.796199 [0.805797,0.785256] f_measure 0.821773 [0.834512,0.807249] f_measure 0.817352 [0.828571,0.80456] f_measure 0.812938 [0.82148,0.8032] f_measure 0.829675 [0.837209,0.821086] f_measure 0.809853 [0.819625,0.798712] f_measure 0.805246 [0.816092,0.79288] f_measure 0.79773 [0.806967,0.7872] f_measure 0.81376 [0.830556,0.794613] f_measure 0.76735 [0.776642,0.756757] f_measure 0.831125 [0.840288,0.820679] f_measure 0.814375 [0.824713,0.802589] f_measure 0.764055 [0.778887,0.747145] f_measure 0.831215 [0.837956,0.823529] f_measure 0.786866 [0.80057,0.771242] f_measure 0.814078 [0.828169,0.798013] f_measure 0.812868 [0.823022,0.801292] f_measure 0.805276 [0.815562,0.793548] f_measure 0.812581 [0.826516,0.796694] f_measure 0.794236 [0.810127,0.776119] f_measure 0.800664 [0.812052,0.787682] f_measure 0.796928 [0.815534,0.775717] kappa 0.656046 kappa 0.629921 kappa 0.663877 kappa 0.622441 kappa 0.616554 kappa 0.697428 kappa 0.688944 kappa 0.641976 kappa 0.57725 kappa 0.603412 kappa 0.597457 kappa 0.634194 kappa 0.627517 kappa 0.600895 kappa 0.652349 kappa 0.612629 kappa 0.642574 kappa 0.621853 kappa 0.658315 kappa 0.668822 kappa 0.64964 kappa 0.617388 kappa 0.620524 kappa 0.64556 kappa 0.646387 kappa 0.593378 kappa 0.637595 kappa 0.621411 kappa 0.645283 kappa 0.632908 kappa 0.666883 kappa 0.611693 kappa 0.564843 kappa 0.597147 kappa 0.666883 kappa 0.610413 kappa 0.628878 kappa 0.672996 kappa 0.624684 kappa 0.62332 kappa 0.615096 kappa 0.58141 kappa 0.64905 kappa 0.580907 kappa 0.543467 kappa 0.617309 kappa 0.635825 kappa 0.626718 kappa 0.596768 kappa 0.638523 kappa 0.604429 kappa 0.658273 kappa 0.629556 kappa 0.664107 kappa 0.612429 kappa 0.602877 kappa 0.527169 kappa 0.634157 kappa 0.620295 kappa 0.594281 kappa 0.663435 kappa 0.620903 kappa 0.651754 kappa 0.614942 kappa 0.635679 kappa 0.586694 kappa 0.620903 kappa 0.630444 kappa 0.632985 kappa 0.583382 kappa 0.590494 kappa 0.553644 kappa 0.559582 kappa 0.629407 kappa 0.571816 kappa 0.685294 kappa 0.575129 kappa 0.648348 kappa 0.591148 kappa 0.641802 kappa 0.633132 kappa 0.624786 kappa 0.65841 kappa 0.61838 kappa 0.608987 kappa 0.594281 kappa 0.625519 kappa 0.533643 kappa 0.660986 kappa 0.627316 kappa 0.526034 kappa 0.661662 kappa 0.571816 kappa 0.626269 kappa 0.624336 kappa 0.609143 kappa 0.623282 kappa 0.586363 kappa 0.599742 kappa 0.591672 kb_relative_information_score 417.141261 kb_relative_information_score 407.74754 kb_relative_information_score 433.727256 kb_relative_information_score 405.601037 kb_relative_information_score 393.989025 kb_relative_information_score 446.834568 kb_relative_information_score 449.895159 kb_relative_information_score 413.208347 kb_relative_information_score 379.048408 kb_relative_information_score 394.736456 kb_relative_information_score 394.240659 kb_relative_information_score 409.494143 kb_relative_information_score 402.349162 kb_relative_information_score 392.015239 kb_relative_information_score 430.418305 kb_relative_information_score 397.406545 kb_relative_information_score 410.429091 kb_relative_information_score 401.621695 kb_relative_information_score 427.802058 kb_relative_information_score 434.255368 kb_relative_information_score 425.439748 kb_relative_information_score 399.446595 kb_relative_information_score 407.980311 kb_relative_information_score 419.921939 kb_relative_information_score 416.513774 kb_relative_information_score 388.56545 kb_relative_information_score 413.178018 kb_relative_information_score 406.626268 kb_relative_information_score 420.537786 kb_relative_information_score 407.202539 kb_relative_information_score 425.707738 kb_relative_information_score 401.188312 kb_relative_information_score 373.985029 kb_relative_information_score 398.182491 kb_relative_information_score 431.476131 kb_relative_information_score 396.236167 kb_relative_information_score 410.014425 kb_relative_information_score 426.644564 kb_relative_information_score 408.60979 kb_relative_information_score 403.233674 kb_relative_information_score 406.442246 kb_relative_information_score 381.197438 kb_relative_information_score 416.254865 kb_relative_information_score 377.220722 kb_relative_information_score 362.574456 kb_relative_information_score 406.273149 kb_relative_information_score 414.462024 kb_relative_information_score 406.601986 kb_relative_information_score 392.263274 kb_relative_information_score 417.387553 kb_relative_information_score 392.890816 kb_relative_information_score 424.163166 kb_relative_information_score 410.33621 kb_relative_information_score 433.511978 kb_relative_information_score 396.227797 kb_relative_information_score 391.020765 kb_relative_information_score 353.538593 kb_relative_information_score 413.519079 kb_relative_information_score 397.80439 kb_relative_information_score 387.681445 kb_relative_information_score 432.271807 kb_relative_information_score 404.82145 kb_relative_information_score 420.328001 kb_relative_information_score 394.64424 kb_relative_information_score 412.27224 kb_relative_information_score 379.757541 kb_relative_information_score 405.136448 kb_relative_information_score 412.296426 kb_relative_information_score 405.796291 kb_relative_information_score 378.152151 kb_relative_information_score 385.63761 kb_relative_information_score 362.828829 kb_relative_information_score 370.347849 kb_relative_information_score 410.096489 kb_relative_information_score 376.632978 kb_relative_information_score 447.796718 kb_relative_information_score 376.999612 kb_relative_information_score 419.279303 kb_relative_information_score 386.065028 kb_relative_information_score 419.848838 kb_relative_information_score 413.76705 kb_relative_information_score 409.49662 kb_relative_information_score 423.652098 kb_relative_information_score 401.412569 kb_relative_information_score 402.586425 kb_relative_information_score 384.565337 kb_relative_information_score 403.47263 kb_relative_information_score 349.75022 kb_relative_information_score 426.589896 kb_relative_information_score 403.50478 kb_relative_information_score 341.913402 kb_relative_information_score 432.269709 kb_relative_information_score 374.028079 kb_relative_information_score 405.103703 kb_relative_information_score 405.975757 kb_relative_information_score 399.229705 kb_relative_information_score 402.907759 kb_relative_information_score 386.302048 kb_relative_information_score 388.678092 kb_relative_information_score 385.036918 mean_absolute_error 0.183342 mean_absolute_error 0.189986 mean_absolute_error 0.169929 mean_absolute_error 0.191591 mean_absolute_error 0.200519 mean_absolute_error 0.160726 mean_absolute_error 0.157579 mean_absolute_error 0.186102 mean_absolute_error 0.211025 mean_absolute_error 0.199542 mean_absolute_error 0.199454 mean_absolute_error 0.188902 mean_absolute_error 0.194135 mean_absolute_error 0.201298 mean_absolute_error 0.172228 mean_absolute_error 0.197757 mean_absolute_error 0.188022 mean_absolute_error 0.194664 mean_absolute_error 0.174371 mean_absolute_error 0.169807 mean_absolute_error 0.176024 mean_absolute_error 0.196293 mean_absolute_error 0.189311 mean_absolute_error 0.180634 mean_absolute_error 0.18337 mean_absolute_error 0.204306 mean_absolute_error 0.185477 mean_absolute_error 0.190162 mean_absolute_error 0.180095 mean_absolute_error 0.190182 mean_absolute_error 0.177072 mean_absolute_error 0.194843 mean_absolute_error 0.214043 mean_absolute_error 0.195961 mean_absolute_error 0.17222 mean_absolute_error 0.198383 mean_absolute_error 0.188087 mean_absolute_error 0.176476 mean_absolute_error 0.188541 mean_absolute_error 0.193427 mean_absolute_error 0.190154 mean_absolute_error 0.208523 mean_absolute_error 0.183305 mean_absolute_error 0.212096 mean_absolute_error 0.222799 mean_absolute_error 0.189634 mean_absolute_error 0.184153 mean_absolute_error 0.189954 mean_absolute_error 0.200674 mean_absolute_error 0.181843 mean_absolute_error 0.200337 mean_absolute_error 0.17715 mean_absolute_error 0.186812 mean_absolute_error 0.169751 mean_absolute_error 0.198069 mean_absolute_error 0.201977 mean_absolute_error 0.229124 mean_absolute_error 0.184677 mean_absolute_error 0.197169 mean_absolute_error 0.204032 mean_absolute_error 0.170784 mean_absolute_error 0.191386 mean_absolute_error 0.179489 mean_absolute_error 0.199616 mean_absolute_error 0.185941 mean_absolute_error 0.210566 mean_absolute_error 0.191672 mean_absolute_error 0.185549 mean_absolute_error 0.190973 mean_absolute_error 0.211763 mean_absolute_error 0.205339 mean_absolute_error 0.222703 mean_absolute_error 0.217092 mean_absolute_error 0.187442 mean_absolute_error 0.212272 mean_absolute_error 0.159099 mean_absolute_error 0.211749 mean_absolute_error 0.180499 mean_absolute_error 0.20521 mean_absolute_error 0.180127 mean_absolute_error 0.184412 mean_absolute_error 0.187122 mean_absolute_error 0.177755 mean_absolute_error 0.193568 mean_absolute_error 0.191996 mean_absolute_error 0.207009 mean_absolute_error 0.192362 mean_absolute_error 0.231984 mean_absolute_error 0.175672 mean_absolute_error 0.192804 mean_absolute_error 0.238631 mean_absolute_error 0.170644 mean_absolute_error 0.214832 mean_absolute_error 0.191421 mean_absolute_error 0.190463 mean_absolute_error 0.19484 mean_absolute_error 0.193264 mean_absolute_error 0.204869 mean_absolute_error 0.203516 mean_absolute_error 0.206029 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497824 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.497923 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 mean_prior_absolute_error 0.49787 number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [351,307] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 658 [350,308] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] number_of_instances 657 [350,307] precision 0.829474 [0.854167,0.801242] precision 0.81607 [0.817175,0.814815] precision 0.832739 [0.839437,0.825083] precision 0.812404 [0.83432,0.7875] precision 0.809863 [0.835821,0.780186] precision 0.849471 [0.853933,0.844371] precision 0.845157 [0.858382,0.830128] precision 0.822151 [0.823204,0.820946] precision 0.790533 [0.819277,0.757669] precision 0.802638 [0.818444,0.784566] precision 0.799593 [0.815029,0.782051] precision 0.817948 [0.834302,0.799363] precision 0.814529 [0.823864,0.803922] precision 0.801485 [0.821114,0.77918] precision 0.826931 [0.84104,0.810897] precision 0.807129 [0.821326,0.790997] precision 0.82209 [0.828169,0.815182] precision 0.811743 [0.82659,0.794872] precision 0.829866 [0.841954,0.816129] precision 0.83672 [0.868502,0.800604] precision 0.825777 [0.844575,0.804416] precision 0.810123 [0.808219,0.812287] precision 0.811603 [0.81044,0.812925] precision 0.82361 [0.828652,0.817881] precision 0.824022 [0.840116,0.805732] precision 0.797741 [0.802228,0.792642] precision 0.819892 [0.840708,0.796238] precision 0.811488 [0.821023,0.800654] precision 0.823665 [0.825,0.822148] precision 0.817627 [0.81768,0.817568] precision 0.834272 [0.837535,0.830565] precision 0.806854 [0.812849,0.8] precision 0.783895 [0.808955,0.755418] precision 0.799485 [0.813754,0.783172] precision 0.834272 [0.837535,0.830565] precision 0.806553 [0.830357,0.779503] precision 0.81621 [0.843844,0.784615] precision 0.837317 [0.840336,0.833887] precision 0.813109 [0.825215,0.799353] precision 0.814086 [0.846626,0.777108] precision 0.808418 [0.823699,0.790997] precision 0.791626 [0.806916,0.774194] precision 0.825521 [0.844575,0.803797] precision 0.791376 [0.8017,0.779605] precision 0.773019 [0.778393,0.766892] precision 0.809616 [0.815126,0.803333] precision 0.818766 [0.825352,0.811258] precision 0.814205 [0.822034,0.805281] precision 0.799292 [0.815029,0.78135] precision 0.820334 [0.822222,0.818182] precision 0.8037 [0.80274,0.804795] precision 0.830174 [0.85,0.807571] precision 0.815715 [0.820728,0.81] precision 0.832884 [0.848837,0.814696] precision 0.807275 [0.826979,0.78481] precision 0.802334 [0.817919,0.784566] precision 0.764893 [0.787611,0.738994] precision 0.818438 [0.842262,0.791277] precision 0.811146 [0.815642,0.80602] precision 0.798343 [0.820059,0.773585] precision 0.832488 [0.838983,0.825083] precision 0.811263 [0.822857,0.798046] precision 0.826671 [0.84104,0.810289] precision 0.808307 [0.821839,0.79288] precision 0.818765 [0.823529,0.813333] precision 0.794367 [0.80112,0.786667] precision 0.811263 [0.822857,0.798046] precision 0.816087 [0.831884,0.798077] precision 0.81729 [0.826705,0.806557] precision 0.792856 [0.797222,0.787879] precision 0.796135 [0.810345,0.779935] precision 0.777778 [0.791429,0.762215] precision 0.780745 [0.792614,0.767213] precision 0.815736 [0.818942,0.812081] precision 0.786836 [0.798295,0.77377] precision 0.84335 [0.855908,0.829032] precision 0.788477 [0.802292,0.772727] precision 0.82493 [0.834758,0.813725] precision 0.796724 [0.817647,0.772871] precision 0.821815 [0.826331,0.816667] precision 0.817352 [0.828571,0.80456] precision 0.813547 [0.834808,0.789308] precision 0.830376 [0.852071,0.805643] precision 0.810148 [0.827988,0.789809] precision 0.805376 [0.820809,0.787781] precision 0.798343 [0.820059,0.773585] precision 0.814739 [0.808108,0.8223] precision 0.768377 [0.79403,0.73913] precision 0.831296 [0.846377,0.814103] precision 0.814503 [0.82948,0.797428] precision 0.764034 [0.777778,0.748366] precision 0.832246 [0.856716,0.804348] precision 0.786836 [0.798295,0.77377] precision 0.814228 [0.816667,0.811448] precision 0.813045 [0.828986,0.794872] precision 0.80551 [0.822674,0.785942] precision 0.812684 [0.816156,0.808725] precision 0.794399 [0.797784,0.790541] precision 0.800754 [0.815562,0.783871] precision 0.79794 [0.792453,0.804196] predictive_accuracy 0.828267 predictive_accuracy 0.816109 predictive_accuracy 0.832827 predictive_accuracy 0.81155 predictive_accuracy 0.808511 predictive_accuracy 0.849544 predictive_accuracy 0.844985 predictive_accuracy 0.822188 predictive_accuracy 0.788754 predictive_accuracy 0.802432 predictive_accuracy 0.799392 predictive_accuracy 0.817629 predictive_accuracy 0.81459 predictive_accuracy 0.800912 predictive_accuracy 0.826748 predictive_accuracy 0.806991 predictive_accuracy 0.822188 predictive_accuracy 0.81155 predictive_accuracy 0.829787 predictive_accuracy 0.834347 predictive_accuracy 0.825228 predictive_accuracy 0.81003 predictive_accuracy 0.81155 predictive_accuracy 0.823708 predictive_accuracy 0.823708 predictive_accuracy 0.797872 predictive_accuracy 0.819149 predictive_accuracy 0.81155 predictive_accuracy 0.823708 predictive_accuracy 0.817629 predictive_accuracy 0.834347 predictive_accuracy 0.806991 predictive_accuracy 0.782675 predictive_accuracy 0.799392 predictive_accuracy 0.834347 predictive_accuracy 0.805471 predictive_accuracy 0.81459 predictive_accuracy 0.837386 predictive_accuracy 0.81307 predictive_accuracy 0.81155 predictive_accuracy 0.808219 predictive_accuracy 0.791476 predictive_accuracy 0.824962 predictive_accuracy 0.791476 predictive_accuracy 0.773212 predictive_accuracy 0.809741 predictive_accuracy 0.818874 predictive_accuracy 0.814307 predictive_accuracy 0.799087 predictive_accuracy 0.820396 predictive_accuracy 0.803653 predictive_accuracy 0.829528 predictive_accuracy 0.81583 predictive_accuracy 0.832572 predictive_accuracy 0.806697 predictive_accuracy 0.802131 predictive_accuracy 0.764079 predictive_accuracy 0.817352 predictive_accuracy 0.811263 predictive_accuracy 0.797565 predictive_accuracy 0.832572 predictive_accuracy 0.811263 predictive_accuracy 0.826484 predictive_accuracy 0.808219 predictive_accuracy 0.818874 predictive_accuracy 0.794521 predictive_accuracy 0.811263 predictive_accuracy 0.81583 predictive_accuracy 0.817352 predictive_accuracy 0.792998 predictive_accuracy 0.796043 predictive_accuracy 0.777778 predictive_accuracy 0.780822 predictive_accuracy 0.81583 predictive_accuracy 0.78691 predictive_accuracy 0.843227 predictive_accuracy 0.788432 predictive_accuracy 0.824962 predictive_accuracy 0.796043 predictive_accuracy 0.821918 predictive_accuracy 0.817352 predictive_accuracy 0.812785 predictive_accuracy 0.829528 predictive_accuracy 0.809741 predictive_accuracy 0.805175 predictive_accuracy 0.797565 predictive_accuracy 0.814307 predictive_accuracy 0.767123 predictive_accuracy 0.83105 predictive_accuracy 0.814307 predictive_accuracy 0.764079 predictive_accuracy 0.83105 predictive_accuracy 0.78691 predictive_accuracy 0.814307 predictive_accuracy 0.812785 predictive_accuracy 0.805175 predictive_accuracy 0.812785 predictive_accuracy 0.794521 predictive_accuracy 0.800609 predictive_accuracy 0.797565 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 prior_entropy 0.996942 recall 0.828267 [0.817664,0.840391] recall 0.816109 [0.842857,0.785714] recall 0.832827 [0.849003,0.814332] recall 0.81155 [0.805714,0.818182] recall 0.808511 [0.797721,0.820847] recall 0.849544 [0.866097,0.830619] recall 0.844985 [0.848571,0.840909] recall 0.822188 [0.849003,0.791531] recall 0.788754 [0.774929,0.80456] recall 0.802432 [0.809117,0.794788] recall 0.799392 [0.805714,0.792208] recall 0.817629 [0.82,0.814935] recall 0.81459 [0.828571,0.798701] recall 0.800912 [0.8,0.801948] recall 0.826748 [0.831429,0.821429] recall 0.806991 [0.814286,0.798701] recall 0.822188 [0.84,0.801948] recall 0.81155 [0.817143,0.805195] recall 0.829787 [0.837143,0.821429] recall 0.834347 [0.811429,0.86039] recall 0.825228 [0.822857,0.827922] recall 0.81003 [0.842857,0.772727] recall 0.81155 [0.842857,0.775974] recall 0.823708 [0.842857,0.801948] recall 0.823708 [0.825714,0.821429] recall 0.797872 [0.822857,0.769481] recall 0.819149 [0.814286,0.824675] recall 0.81155 [0.825714,0.795455] recall 0.823708 [0.848571,0.795455] recall 0.817629 [0.845714,0.785714] recall 0.834347 [0.854286,0.811688] recall 0.806991 [0.82906,0.781759] recall 0.782675 [0.774286,0.792208] recall 0.799392 [0.809117,0.788274] recall 0.834347 [0.854286,0.811688] recall 0.805471 [0.797143,0.814935] recall 0.81459 [0.80057,0.830619] recall 0.837386 [0.857143,0.814935] recall 0.81307 [0.822857,0.801948] recall 0.81155 [0.788571,0.837662] recall 0.808219 [0.814286,0.801303] recall 0.791476 [0.8,0.781759] recall 0.824962 [0.822857,0.827362] recall 0.791476 [0.808571,0.771987] recall 0.773212 [0.802857,0.739414] recall 0.809741 [0.831429,0.785016] recall 0.818874 [0.837143,0.798046] recall 0.814307 [0.831429,0.794788] recall 0.799087 [0.805714,0.791531] recall 0.820396 [0.845714,0.791531] recall 0.803653 [0.837143,0.765472] recall 0.829528 [0.825714,0.833876] recall 0.81583 [0.837143,0.791531] recall 0.832572 [0.834286,0.830619] recall 0.806697 [0.805714,0.807818] recall 0.802131 [0.808571,0.794788] recall 0.764079 [0.762857,0.765472] recall 0.817352 [0.808571,0.827362] recall 0.811263 [0.834286,0.785016] recall 0.797565 [0.794286,0.801303] recall 0.832572 [0.848571,0.814332] recall 0.811263 [0.822857,0.798046] recall 0.826484 [0.831429,0.820847] recall 0.808219 [0.817143,0.798046] recall 0.818874 [0.84,0.794788] recall 0.794521 [0.817143,0.76873] recall 0.811263 [0.822857,0.798046] recall 0.81583 [0.82,0.811075] recall 0.817352 [0.831429,0.801303] recall 0.792998 [0.82,0.762215] recall 0.796043 [0.805714,0.785016] recall 0.777778 [0.791429,0.762215] recall 0.780822 [0.797143,0.762215] recall 0.81583 [0.84,0.788274] recall 0.78691 [0.802857,0.76873] recall 0.843227 [0.848571,0.837134] recall 0.788432 [0.8,0.775244] recall 0.824962 [0.837143,0.811075] recall 0.796043 [0.794286,0.798046] recall 0.821918 [0.842857,0.798046] recall 0.817352 [0.828571,0.80456] recall 0.812785 [0.808571,0.81759] recall 0.829528 [0.822857,0.837134] recall 0.809741 [0.811429,0.807818] recall 0.805175 [0.811429,0.798046] recall 0.797565 [0.794286,0.801303] recall 0.814307 [0.854286,0.76873] recall 0.767123 [0.76,0.775244] recall 0.83105 [0.834286,0.827362] recall 0.814307 [0.82,0.807818] recall 0.764079 [0.78,0.745928] recall 0.83105 [0.82,0.843648] recall 0.78691 [0.802857,0.76873] recall 0.814307 [0.84,0.785016] recall 0.812785 [0.817143,0.807818] recall 0.805175 [0.808571,0.801303] recall 0.812785 [0.837143,0.785016] recall 0.794521 [0.822857,0.762215] recall 0.800609 [0.808571,0.791531] recall 0.797565 [0.84,0.749186] relative_absolute_error 0.368287 relative_absolute_error 0.381557 relative_absolute_error 0.341344 relative_absolute_error 0.384781 relative_absolute_error 0.402792 relative_absolute_error 0.322857 relative_absolute_error 0.316473 relative_absolute_error 0.373831 relative_absolute_error 0.423896 relative_absolute_error 0.400829 relative_absolute_error 0.400572 relative_absolute_error 0.379381 relative_absolute_error 0.389889 relative_absolute_error 0.404275 relative_absolute_error 0.345892 relative_absolute_error 0.397165 relative_absolute_error 0.377613 relative_absolute_error 0.390951 relative_absolute_error 0.350197 relative_absolute_error 0.34103 relative_absolute_error 0.353517 relative_absolute_error 0.394223 relative_absolute_error 0.380202 relative_absolute_error 0.362775 relative_absolute_error 0.36827 relative_absolute_error 0.410316 relative_absolute_error 0.372502 relative_absolute_error 0.38191 relative_absolute_error 0.361693 relative_absolute_error 0.381952 relative_absolute_error 0.355621 relative_absolute_error 0.391389 relative_absolute_error 0.429872 relative_absolute_error 0.393635 relative_absolute_error 0.345876 relative_absolute_error 0.398421 relative_absolute_error 0.377819 relative_absolute_error 0.354424 relative_absolute_error 0.378656 relative_absolute_error 0.388468 relative_absolute_error 0.381935 relative_absolute_error 0.41883 relative_absolute_error 0.368178 relative_absolute_error 0.426007 relative_absolute_error 0.447504 relative_absolute_error 0.38089 relative_absolute_error 0.369882 relative_absolute_error 0.381533 relative_absolute_error 0.403066 relative_absolute_error 0.365241 relative_absolute_error 0.402388 relative_absolute_error 0.355815 relative_absolute_error 0.375221 relative_absolute_error 0.340954 relative_absolute_error 0.397833 relative_absolute_error 0.405682 relative_absolute_error 0.460209 relative_absolute_error 0.370935 relative_absolute_error 0.396024 relative_absolute_error 0.409811 relative_absolute_error 0.34303 relative_absolute_error 0.384409 relative_absolute_error 0.360515 relative_absolute_error 0.40094 relative_absolute_error 0.373474 relative_absolute_error 0.422934 relative_absolute_error 0.384984 relative_absolute_error 0.372685 relative_absolute_error 0.383579 relative_absolute_error 0.425339 relative_absolute_error 0.412435 relative_absolute_error 0.447312 relative_absolute_error 0.436042 relative_absolute_error 0.376488 relative_absolute_error 0.426361 relative_absolute_error 0.31956 relative_absolute_error 0.42531 relative_absolute_error 0.362543 relative_absolute_error 0.412176 relative_absolute_error 0.361794 relative_absolute_error 0.370402 relative_absolute_error 0.375844 relative_absolute_error 0.35703 relative_absolute_error 0.388792 relative_absolute_error 0.385634 relative_absolute_error 0.41579 relative_absolute_error 0.38637 relative_absolute_error 0.465953 relative_absolute_error 0.352847 relative_absolute_error 0.387258 relative_absolute_error 0.479304 relative_absolute_error 0.342747 relative_absolute_error 0.431503 relative_absolute_error 0.38448 relative_absolute_error 0.382556 relative_absolute_error 0.391347 relative_absolute_error 0.388182 relative_absolute_error 0.411492 relative_absolute_error 0.408772 relative_absolute_error 0.413821 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498882 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498981 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_prior_squared_error 0.498928 root_mean_squared_error 0.402598 root_mean_squared_error 0.407127 root_mean_squared_error 0.392081 root_mean_squared_error 0.410674 root_mean_squared_error 0.424257 root_mean_squared_error 0.376618 root_mean_squared_error 0.374071 root_mean_squared_error 0.410476 root_mean_squared_error 0.43455 root_mean_squared_error 0.422177 root_mean_squared_error 0.422668 root_mean_squared_error 0.41295 root_mean_squared_error 0.416744 root_mean_squared_error 0.426192 root_mean_squared_error 0.392316 root_mean_squared_error 0.420765 root_mean_squared_error 0.408958 root_mean_squared_error 0.418492 root_mean_squared_error 0.393897 root_mean_squared_error 0.38653 root_mean_squared_error 0.397613 root_mean_squared_error 0.418779 root_mean_squared_error 0.40838 root_mean_squared_error 0.404258 root_mean_squared_error 0.4082 root_mean_squared_error 0.429543 root_mean_squared_error 0.410219 root_mean_squared_error 0.411589 root_mean_squared_error 0.399058 root_mean_squared_error 0.411159 root_mean_squared_error 0.395245 root_mean_squared_error 0.419003 root_mean_squared_error 0.44007 root_mean_squared_error 0.421221 root_mean_squared_error 0.386839 root_mean_squared_error 0.42595 root_mean_squared_error 0.407169 root_mean_squared_error 0.391207 root_mean_squared_error 0.413318 root_mean_squared_error 0.418674 root_mean_squared_error 0.411753 root_mean_squared_error 0.431731 root_mean_squared_error 0.405721 root_mean_squared_error 0.435237 root_mean_squared_error 0.441635 root_mean_squared_error 0.410945 root_mean_squared_error 0.409404 root_mean_squared_error 0.414261 root_mean_squared_error 0.42346 root_mean_squared_error 0.405648 root_mean_squared_error 0.422817 root_mean_squared_error 0.39596 root_mean_squared_error 0.408864 root_mean_squared_error 0.389216 root_mean_squared_error 0.423913 root_mean_squared_error 0.427651 root_mean_squared_error 0.455672 root_mean_squared_error 0.409991 root_mean_squared_error 0.421846 root_mean_squared_error 0.430142 root_mean_squared_error 0.390702 root_mean_squared_error 0.420037 root_mean_squared_error 0.399843 root_mean_squared_error 0.419385 root_mean_squared_error 0.406768 root_mean_squared_error 0.434564 root_mean_squared_error 0.411783 root_mean_squared_error 0.40671 root_mean_squared_error 0.415738 root_mean_squared_error 0.436835 root_mean_squared_error 0.430138 root_mean_squared_error 0.449925 root_mean_squared_error 0.440198 root_mean_squared_error 0.409499 root_mean_squared_error 0.443091 root_mean_squared_error 0.374969 root_mean_squared_error 0.435292 root_mean_squared_error 0.402635 root_mean_squared_error 0.432286 root_mean_squared_error 0.398533 root_mean_squared_error 0.408993 root_mean_squared_error 0.408087 root_mean_squared_error 0.400486 root_mean_squared_error 0.412173 root_mean_squared_error 0.414702 root_mean_squared_error 0.43062 root_mean_squared_error 0.414626 root_mean_squared_error 0.458186 root_mean_squared_error 0.391779 root_mean_squared_error 0.416217 root_mean_squared_error 0.465253 root_mean_squared_error 0.386352 root_mean_squared_error 0.437117 root_mean_squared_error 0.417189 root_mean_squared_error 0.41342 root_mean_squared_error 0.417099 root_mean_squared_error 0.415735 root_mean_squared_error 0.425123 root_mean_squared_error 0.429844 root_mean_squared_error 0.430217 root_relative_squared_error 0.807001 root_relative_squared_error 0.815916 root_relative_squared_error 0.785921 root_relative_squared_error 0.823025 root_relative_squared_error 0.850416 root_relative_squared_error 0.754925 root_relative_squared_error 0.74967 root_relative_squared_error 0.822791 root_relative_squared_error 0.871048 root_relative_squared_error 0.846247 root_relative_squared_error 0.847063 root_relative_squared_error 0.827587 root_relative_squared_error 0.83519 root_relative_squared_error 0.854125 root_relative_squared_error 0.786236 root_relative_squared_error 0.84325 root_relative_squared_error 0.819587 root_relative_squared_error 0.838693 root_relative_squared_error 0.789404 root_relative_squared_error 0.774639 root_relative_squared_error 0.796851 root_relative_squared_error 0.83927 root_relative_squared_error 0.818428 root_relative_squared_error 0.810168 root_relative_squared_error 0.818067 root_relative_squared_error 0.86084 root_relative_squared_error 0.822114 root_relative_squared_error 0.824859 root_relative_squared_error 0.799747 root_relative_squared_error 0.823997 root_relative_squared_error 0.792104 root_relative_squared_error 0.839885 root_relative_squared_error 0.881938 root_relative_squared_error 0.844331 root_relative_squared_error 0.775259 root_relative_squared_error 0.853639 root_relative_squared_error 0.816163 root_relative_squared_error 0.784012 root_relative_squared_error 0.828324 root_relative_squared_error 0.839058 root_relative_squared_error 0.825275 root_relative_squared_error 0.865318 root_relative_squared_error 0.813186 root_relative_squared_error 0.872345 root_relative_squared_error 0.885169 root_relative_squared_error 0.823656 root_relative_squared_error 0.820567 root_relative_squared_error 0.830303 root_relative_squared_error 0.84874 root_relative_squared_error 0.813039 root_relative_squared_error 0.847451 root_relative_squared_error 0.793621 root_relative_squared_error 0.819484 root_relative_squared_error 0.780106 root_relative_squared_error 0.849648 root_relative_squared_error 0.857139 root_relative_squared_error 0.913303 root_relative_squared_error 0.821744 root_relative_squared_error 0.845505 root_relative_squared_error 0.862133 root_relative_squared_error 0.783083 root_relative_squared_error 0.841879 root_relative_squared_error 0.801404 root_relative_squared_error 0.840572 root_relative_squared_error 0.815283 root_relative_squared_error 0.870995 root_relative_squared_error 0.825336 root_relative_squared_error 0.815168 root_relative_squared_error 0.833262 root_relative_squared_error 0.875548 root_relative_squared_error 0.862125 root_relative_squared_error 0.901784 root_relative_squared_error 0.882287 root_relative_squared_error 0.820758 root_relative_squared_error 0.888087 root_relative_squared_error 0.751549 root_relative_squared_error 0.872455 root_relative_squared_error 0.807001 root_relative_squared_error 0.86643 root_relative_squared_error 0.798779 root_relative_squared_error 0.819744 root_relative_squared_error 0.817927 root_relative_squared_error 0.802692 root_relative_squared_error 0.826118 root_relative_squared_error 0.831186 root_relative_squared_error 0.863091 root_relative_squared_error 0.831034 root_relative_squared_error 0.918341 root_relative_squared_error 0.785243 root_relative_squared_error 0.834222 root_relative_squared_error 0.932505 root_relative_squared_error 0.774365 root_relative_squared_error 0.876113 root_relative_squared_error 0.83617 root_relative_squared_error 0.828616 root_relative_squared_error 0.835991 root_relative_squared_error 0.833257 root_relative_squared_error 0.852074 root_relative_squared_error 0.861536 root_relative_squared_error 0.862283 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 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 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 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 50 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 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 40 usercpu_time_millis 90 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 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 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 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 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 40 usercpu_time_millis 40 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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