448944 2 Joaquin Vanschoren 4549 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_3.7.12 981 kdd_internet_usage https://www.openml.org/data/download/53515/kdd_internet_usage.arff -1 1574300 description https://api.openml.org/data/download/1574300/weka_generated_run7757357472122432877.xml -1 1574303 model_readable https://api.openml.org/data/download/1574303/WekaModel_weka.classifiers.bayes.BayesNet340551694465759369.model -1 1574302 model_serialized https://api.openml.org/data/download/1574302/WekaSerialized_weka.classifiers.bayes.BayesNet941970351779371746.model -1 1574301 predictions https://api.openml.org/data/download/1574301/weka_generated_predictions6933199869454822214.arff area_under_roc_curve 0.919865 [0.919865,0.919865] average_cost 0 f_measure 0.857752 [0.896919,0.751098] kappa 0.649015 kb_relative_information_score 57631.403046 mean_absolute_error 0.155658 mean_prior_absolute_error 0.392928 number_of_instances 101080 [73930,27150] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.865622 [0.92878,0.693642] predictive_accuracy 0.854214 prior_entropy 0.839513 recall 0.854214 [0.867172,0.818932] relative_absolute_error 0.396149 root_mean_prior_squared_error 0.443231 root_mean_squared_error 0.345224 root_relative_squared_error 0.77888 scimark_benchmark 930.404046 [552.1496309692806, 999.7172495283804, 467.86139427096174, 904.5686674515777, 1727.7232870185824] total_cost 0 usercpu_time_millis 130 usercpu_time_millis_testing 80 usercpu_time_millis_training 50 area_under_roc_curve 0.918946 [0.918946,0.918946] area_under_roc_curve 0.926887 [0.926887,0.926887] area_under_roc_curve 0.929052 [0.929052,0.929052] area_under_roc_curve 0.919495 [0.919495,0.919495] area_under_roc_curve 0.934173 [0.934173,0.934173] area_under_roc_curve 0.914596 [0.914596,0.914596] area_under_roc_curve 0.93138 [0.93138,0.93138] area_under_roc_curve 0.90724 [0.90724,0.90724] area_under_roc_curve 0.912516 [0.912516,0.912516] area_under_roc_curve 0.912616 [0.912616,0.912616] area_under_roc_curve 0.925252 [0.925252,0.925252] area_under_roc_curve 0.909143 [0.909143,0.909143] area_under_roc_curve 0.915765 [0.915765,0.915765] area_under_roc_curve 0.928366 [0.928366,0.928366] area_under_roc_curve 0.915895 [0.915895,0.915895] area_under_roc_curve 0.931742 [0.931742,0.931742] area_under_roc_curve 0.907781 [0.907781,0.907781] area_under_roc_curve 0.922771 [0.922771,0.922771] area_under_roc_curve 0.902214 [0.902214,0.902214] area_under_roc_curve 0.92683 [0.92683,0.92683] area_under_roc_curve 0.925262 [0.925262,0.925262] area_under_roc_curve 0.917303 [0.917303,0.917303] area_under_roc_curve 0.919502 [0.919502,0.919502] area_under_roc_curve 0.933754 [0.933754,0.933754] area_under_roc_curve 0.913643 [0.913643,0.913643] area_under_roc_curve 0.928603 [0.928603,0.928603] area_under_roc_curve 0.920205 [0.920205,0.920205] area_under_roc_curve 0.914025 [0.914025,0.914025] area_under_roc_curve 0.927054 [0.927054,0.927054] area_under_roc_curve 0.912544 [0.912544,0.912544] area_under_roc_curve 0.917565 [0.917565,0.917565] area_under_roc_curve 0.928431 [0.928431,0.928431] area_under_roc_curve 0.911324 [0.911324,0.911324] area_under_roc_curve 0.914777 [0.914777,0.914777] area_under_roc_curve 0.909489 [0.909489,0.909489] area_under_roc_curve 0.924553 [0.924553,0.924553] area_under_roc_curve 0.905947 [0.905947,0.905947] area_under_roc_curve 0.922511 [0.922511,0.922511] area_under_roc_curve 0.917008 [0.917008,0.917008] area_under_roc_curve 0.926279 [0.926279,0.926279] area_under_roc_curve 0.914469 [0.914469,0.914469] area_under_roc_curve 0.931739 [0.931739,0.931739] area_under_roc_curve 0.921003 [0.921003,0.921003] area_under_roc_curve 0.917672 [0.917672,0.917672] area_under_roc_curve 0.919675 [0.919675,0.919675] area_under_roc_curve 0.919943 [0.919943,0.919943] area_under_roc_curve 0.922605 [0.922605,0.922605] area_under_roc_curve 0.927461 [0.927461,0.927461] area_under_roc_curve 0.911262 [0.911262,0.911262] area_under_roc_curve 0.929913 [0.929913,0.929913] area_under_roc_curve 0.917113 [0.917113,0.917113] area_under_roc_curve 0.914969 [0.914969,0.914969] area_under_roc_curve 0.918531 [0.918531,0.918531] area_under_roc_curve 0.931344 [0.931344,0.931344] area_under_roc_curve 0.924473 [0.924473,0.924473] area_under_roc_curve 0.926859 [0.926859,0.926859] area_under_roc_curve 0.910469 [0.910469,0.910469] area_under_roc_curve 0.920665 [0.920665,0.920665] area_under_roc_curve 0.934562 [0.934562,0.934562] area_under_roc_curve 0.930403 [0.930403,0.930403] area_under_roc_curve 0.91409 [0.91409,0.91409] area_under_roc_curve 0.914033 [0.914033,0.914033] area_under_roc_curve 0.916807 [0.916807,0.916807] area_under_roc_curve 0.907004 [0.907004,0.907004] area_under_roc_curve 0.917083 [0.917083,0.917083] area_under_roc_curve 0.919075 [0.919075,0.919075] area_under_roc_curve 0.937764 [0.937764,0.937764] area_under_roc_curve 0.913593 [0.913593,0.913593] area_under_roc_curve 0.927127 [0.927127,0.927127] area_under_roc_curve 0.912086 [0.912086,0.912086] area_under_roc_curve 0.929222 [0.929222,0.929222] area_under_roc_curve 0.924819 [0.924819,0.924819] area_under_roc_curve 0.913874 [0.913874,0.913874] area_under_roc_curve 0.918909 [0.918909,0.918909] area_under_roc_curve 0.914901 [0.914901,0.914901] area_under_roc_curve 0.92519 [0.92519,0.92519] area_under_roc_curve 0.914332 [0.914332,0.914332] area_under_roc_curve 0.935092 [0.935092,0.935092] area_under_roc_curve 0.90723 [0.90723,0.90723] area_under_roc_curve 0.911971 [0.911971,0.911971] area_under_roc_curve 0.921126 [0.921126,0.921126] area_under_roc_curve 0.9146 [0.9146,0.9146] area_under_roc_curve 0.921403 [0.921403,0.921403] area_under_roc_curve 0.920772 [0.920772,0.920772] area_under_roc_curve 0.921675 [0.921675,0.921675] area_under_roc_curve 0.908683 [0.908683,0.908683] area_under_roc_curve 0.92598 [0.92598,0.92598] area_under_roc_curve 0.927902 [0.927902,0.927902] area_under_roc_curve 0.9272 [0.9272,0.9272] area_under_roc_curve 0.910852 [0.910852,0.910852] area_under_roc_curve 0.916318 [0.916318,0.916318] area_under_roc_curve 0.917855 [0.917855,0.917855] area_under_roc_curve 0.929764 [0.929764,0.929764] area_under_roc_curve 0.904221 [0.904221,0.904221] area_under_roc_curve 0.928696 [0.928696,0.928696] area_under_roc_curve 0.89969 [0.89969,0.89969] area_under_roc_curve 0.92019 [0.92019,0.92019] area_under_roc_curve 0.907859 [0.907859,0.907859] area_under_roc_curve 0.93118 [0.93118,0.93118] area_under_roc_curve 0.926389 [0.926389,0.926389] 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 0.86267 [0.899225,0.762852] f_measure 0.860416 [0.898246,0.757119] f_measure 0.861656 [0.898592,0.760797] f_measure 0.857768 [0.897704,0.748718] f_measure 0.866766 [0.903631,0.766102] f_measure 0.843988 [0.886396,0.728188] f_measure 0.85928 [0.897759,0.754209] f_measure 0.835116 [0.880336,0.711636] f_measure 0.847999 [0.892562,0.726316] f_measure 0.848286 [0.893908,0.723708] f_measure 0.852834 [0.892481,0.744574] f_measure 0.849757 [0.892436,0.733219] f_measure 0.854641 [0.894035,0.747069] f_measure 0.868697 [0.905028,0.769492] f_measure 0.859043 [0.898045,0.752542] f_measure 0.864835 [0.902235,0.762712] f_measure 0.84219 [0.884831,0.725753] f_measure 0.872173 [0.906404,0.778702] f_measure 0.846686 [0.888733,0.731872] f_measure 0.874597 [0.909091,0.780405] f_measure 0.864235 [0.902913,0.758621] f_measure 0.869379 [0.906054,0.769231] f_measure 0.865266 [0.903539,0.760757] f_measure 0.878455 [0.911888,0.787162] f_measure 0.853897 [0.89492,0.74188] f_measure 0.873698 [0.910097,0.774306] f_measure 0.860302 [0.898388,0.756303] f_measure 0.854277 [0.894479,0.744501] f_measure 0.870738 [0.906294,0.773649] f_measure 0.856477 [0.897365,0.744828] f_measure 0.859431 [0.899236,0.751286] f_measure 0.866967 [0.903226,0.768456] f_measure 0.851294 [0.892308,0.739865] f_measure 0.842098 [0.882729,0.731707] f_measure 0.848462 [0.890133,0.735245] f_measure 0.858002 [0.895332,0.756579] f_measure 0.842441 [0.887967,0.71875] f_measure 0.860337 [0.9,0.752577] f_measure 0.848292 [0.888418,0.739274] f_measure 0.854253 [0.894332,0.745363] f_measure 0.845368 [0.888268,0.728814] f_measure 0.872047 [0.906404,0.778702] f_measure 0.84739 [0.887633,0.738056] f_measure 0.856588 [0.897079,0.746575] f_measure 0.863553 [0.901742,0.759796] f_measure 0.864697 [0.902235,0.762712] f_measure 0.855937 [0.896022,0.747029] f_measure 0.863432 [0.901879,0.758974] f_measure 0.846604 [0.886686,0.737705] f_measure 0.867654 [0.904263,0.76819] f_measure 0.855811 [0.896167,0.746167] f_measure 0.8531 [0.893855,0.742373] f_measure 0.850213 [0.889831,0.742574] f_measure 0.860951 [0.899301,0.756757] f_measure 0.859682 [0.898955,0.752981] f_measure 0.869709 [0.903546,0.777778] f_measure 0.853037 [0.892025,0.747107] f_measure 0.862997 [0.90056,0.760943] f_measure 0.868676 [0.904895,0.77027] f_measure 0.869515 [0.903819,0.776316] f_measure 0.850517 [0.891381,0.739496] f_measure 0.848056 [0.888732,0.737542] f_measure 0.859173 [0.899515,0.749568] f_measure 0.850005 [0.891986,0.735945] f_measure 0.858899 [0.898045,0.752542] f_measure 0.851541 [0.893824,0.736661] f_measure 0.881573 [0.913563,0.794658] f_measure 0.839464 [0.882311,0.723051] f_measure 0.868096 [0.905556,0.766323] f_measure 0.852323 [0.892932,0.74199] f_measure 0.862204 [0.899649,0.760469] f_measure 0.858002 [0.899032,0.746528] f_measure 0.860307 [0.901718,0.747795] f_measure 0.851785 [0.891702,0.743333] f_measure 0.844452 [0.885593,0.732673] f_measure 0.858526 [0.89847,0.75] f_measure 0.862524 [0.901114,0.757679] f_measure 0.876461 [0.908446,0.78956] f_measure 0.851903 [0.891549,0.744186] f_measure 0.842537 [0.886094,0.724196] f_measure 0.861514 [0.898449,0.760797] f_measure 0.853588 [0.893108,0.745819] f_measure 0.854839 [0.893437,0.749585] f_measure 0.871255 [0.908966,0.768421] f_measure 0.848285 [0.88826,0.739274] f_measure 0.847037 [0.889819,0.730375] f_measure 0.861365 [0.902204,0.75] f_measure 0.869475 [0.90566,0.770798] f_measure 0.85642 [0.895292,0.750419] f_measure 0.854373 [0.894035,0.746218] f_measure 0.853619 [0.89492,0.740995] f_measure 0.848333 [0.890133,0.734349] f_measure 0.876774 [0.911744,0.781411] f_measure 0.848711 [0.88967,0.737018] f_measure 0.869804 [0.905263,0.773109] f_measure 0.840231 [0.883099,0.723333] f_measure 0.860017 [0.896454,0.760656] f_measure 0.844097 [0.889503,0.72028] f_measure 0.874946 [0.91023,0.778731] f_measure 0.855484 [0.892527,0.754472] kappa 0.66354 kappa 0.656586 kappa 0.660817 kappa 0.647197 kappa 0.670631 kappa 0.615901 kappa 0.653074 kappa 0.59322 kappa 0.619238 kappa 0.617784 kappa 0.638433 kappa 0.626333 kappa 0.642375 kappa 0.675405 kappa 0.651537 kappa 0.665858 kappa 0.612013 kappa 0.686384 kappa 0.621766 kappa 0.690411 kappa 0.662117 kappa 0.675998 kappa 0.664905 kappa 0.699936 kappa 0.637597 kappa 0.68484 kappa 0.655829 kappa 0.640002 kappa 0.680885 kappa 0.642809 kappa 0.651154 kappa 0.672723 kappa 0.633171 kappa 0.61667 kappa 0.626436 kappa 0.653562 kappa 0.6072 kappa 0.653175 kappa 0.629352 kappa 0.640712 kappa 0.618038 kappa 0.6863 kappa 0.62741 kappa 0.644332 kappa 0.662279 kappa 0.665784 kappa 0.643906 kappa 0.66153 kappa 0.626281 kappa 0.673306 kappa 0.643118 kappa 0.637136 kappa 0.634044 kappa 0.656991 kappa 0.652698 kappa 0.683022 kappa 0.640692 kappa 0.662498 kappa 0.676047 kappa 0.681651 kappa 0.632004 kappa 0.627739 kappa 0.649597 kappa 0.628746 kappa 0.65146 kappa 0.631088 kappa 0.709252 kappa 0.606962 kappa 0.672443 kappa 0.635953 kappa 0.661237 kappa 0.645995 kappa 0.649738 kappa 0.636372 kappa 0.619969 kappa 0.649139 kappa 0.659507 kappa 0.699661 kappa 0.637163 kappa 0.611305 kappa 0.660677 kappa 0.640254 kappa 0.64457 kappa 0.677692 kappa 0.629306 kappa 0.621067 kappa 0.652489 kappa 0.677304 kappa 0.646967 kappa 0.641441 kappa 0.636644 kappa 0.625546 kappa 0.693713 kappa 0.628013 kappa 0.679434 kappa 0.60798 kappa 0.658943 kappa 0.610206 kappa 0.689583 kappa 0.649162 kb_relative_information_score 576.655099 kb_relative_information_score 581.049693 kb_relative_information_score 585.699039 kb_relative_information_score 571.623215 kb_relative_information_score 616.372255 kb_relative_information_score 546.93291 kb_relative_information_score 587.545481 kb_relative_information_score 519.92801 kb_relative_information_score 555.51622 kb_relative_information_score 556.937935 kb_relative_information_score 561.828076 kb_relative_information_score 551.327785 kb_relative_information_score 551.408056 kb_relative_information_score 595.790015 kb_relative_information_score 567.545512 kb_relative_information_score 606.559414 kb_relative_information_score 521.113119 kb_relative_information_score 612.632111 kb_relative_information_score 536.493352 kb_relative_information_score 624.538752 kb_relative_information_score 600.359461 kb_relative_information_score 588.008157 kb_relative_information_score 595.736492 kb_relative_information_score 631.546427 kb_relative_information_score 559.693592 kb_relative_information_score 624.380776 kb_relative_information_score 569.625233 kb_relative_information_score 554.276903 kb_relative_information_score 606.160443 kb_relative_information_score 570.304997 kb_relative_information_score 586.158005 kb_relative_information_score 604.088661 kb_relative_information_score 566.44809 kb_relative_information_score 533.284423 kb_relative_information_score 563.704654 kb_relative_information_score 578.069679 kb_relative_information_score 545.047618 kb_relative_information_score 588.52281 kb_relative_information_score 545.879301 kb_relative_information_score 571.865241 kb_relative_information_score 560.081633 kb_relative_information_score 620.196185 kb_relative_information_score 548.585169 kb_relative_information_score 576.458127 kb_relative_information_score 593.053261 kb_relative_information_score 597.275183 kb_relative_information_score 577.209804 kb_relative_information_score 594.70437 kb_relative_information_score 549.93495 kb_relative_information_score 611.634047 kb_relative_information_score 570.962043 kb_relative_information_score 562.050374 kb_relative_information_score 555.511476 kb_relative_information_score 586.851163 kb_relative_information_score 577.411407 kb_relative_information_score 599.13834 kb_relative_information_score 553.746224 kb_relative_information_score 588.676979 kb_relative_information_score 621.123516 kb_relative_information_score 612.477636 kb_relative_information_score 557.002024 kb_relative_information_score 563.169526 kb_relative_information_score 585.102403 kb_relative_information_score 547.878186 kb_relative_information_score 573.812035 kb_relative_information_score 559.499562 kb_relative_information_score 634.287269 kb_relative_information_score 541.116681 kb_relative_information_score 596.826592 kb_relative_information_score 559.351014 kb_relative_information_score 604.611228 kb_relative_information_score 575.798766 kb_relative_information_score 587.038354 kb_relative_information_score 563.741908 kb_relative_information_score 536.942493 kb_relative_information_score 586.11116 kb_relative_information_score 585.487601 kb_relative_information_score 619.090293 kb_relative_information_score 540.425735 kb_relative_information_score 537.016542 kb_relative_information_score 569.112534 kb_relative_information_score 568.928697 kb_relative_information_score 569.360803 kb_relative_information_score 605.561294 kb_relative_information_score 563.629151 kb_relative_information_score 540.150429 kb_relative_information_score 603.298265 kb_relative_information_score 604.895475 kb_relative_information_score 585.060445 kb_relative_information_score 547.305021 kb_relative_information_score 572.553807 kb_relative_information_score 556.776912 kb_relative_information_score 624.51882 kb_relative_information_score 545.191798 kb_relative_information_score 601.985094 kb_relative_information_score 519.817114 kb_relative_information_score 584.254845 kb_relative_information_score 541.463772 kb_relative_information_score 632.853455 kb_relative_information_score 572.637043 mean_absolute_error 0.155726 mean_absolute_error 0.153121 mean_absolute_error 0.151784 mean_absolute_error 0.156872 mean_absolute_error 0.142108 mean_absolute_error 0.164574 mean_absolute_error 0.151042 mean_absolute_error 0.173628 mean_absolute_error 0.162637 mean_absolute_error 0.161158 mean_absolute_error 0.15995 mean_absolute_error 0.165036 mean_absolute_error 0.164459 mean_absolute_error 0.147798 mean_absolute_error 0.157886 mean_absolute_error 0.145168 mean_absolute_error 0.175797 mean_absolute_error 0.144081 mean_absolute_error 0.169751 mean_absolute_error 0.139503 mean_absolute_error 0.146479 mean_absolute_error 0.152407 mean_absolute_error 0.148257 mean_absolute_error 0.137348 mean_absolute_error 0.161514 mean_absolute_error 0.138882 mean_absolute_error 0.156301 mean_absolute_error 0.16272 mean_absolute_error 0.146337 mean_absolute_error 0.15787 mean_absolute_error 0.152426 mean_absolute_error 0.146523 mean_absolute_error 0.159449 mean_absolute_error 0.170185 mean_absolute_error 0.161257 mean_absolute_error 0.155593 mean_absolute_error 0.166956 mean_absolute_error 0.151406 mean_absolute_error 0.166182 mean_absolute_error 0.157057 mean_absolute_error 0.16215 mean_absolute_error 0.140989 mean_absolute_error 0.164674 mean_absolute_error 0.155788 mean_absolute_error 0.150213 mean_absolute_error 0.149598 mean_absolute_error 0.154503 mean_absolute_error 0.150008 mean_absolute_error 0.164702 mean_absolute_error 0.143506 mean_absolute_error 0.157484 mean_absolute_error 0.16044 mean_absolute_error 0.163158 mean_absolute_error 0.151782 mean_absolute_error 0.155272 mean_absolute_error 0.14855 mean_absolute_error 0.165138 mean_absolute_error 0.151903 mean_absolute_error 0.139858 mean_absolute_error 0.144005 mean_absolute_error 0.1627 mean_absolute_error 0.159336 mean_absolute_error 0.154014 mean_absolute_error 0.166116 mean_absolute_error 0.156767 mean_absolute_error 0.161439 mean_absolute_error 0.136105 mean_absolute_error 0.167484 mean_absolute_error 0.149463 mean_absolute_error 0.16133 mean_absolute_error 0.145448 mean_absolute_error 0.1568 mean_absolute_error 0.152352 mean_absolute_error 0.160319 mean_absolute_error 0.168644 mean_absolute_error 0.152397 mean_absolute_error 0.15167 mean_absolute_error 0.141563 mean_absolute_error 0.169119 mean_absolute_error 0.169307 mean_absolute_error 0.158077 mean_absolute_error 0.158199 mean_absolute_error 0.157046 mean_absolute_error 0.145722 mean_absolute_error 0.158871 mean_absolute_error 0.167154 mean_absolute_error 0.145194 mean_absolute_error 0.146015 mean_absolute_error 0.151389 mean_absolute_error 0.16619 mean_absolute_error 0.156816 mean_absolute_error 0.161588 mean_absolute_error 0.139724 mean_absolute_error 0.165873 mean_absolute_error 0.146936 mean_absolute_error 0.174579 mean_absolute_error 0.153955 mean_absolute_error 0.166703 mean_absolute_error 0.136121 mean_absolute_error 0.156364 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.392675 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.393133 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 mean_prior_absolute_error 0.392798 number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [740,271] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1011 [739,272] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] number_of_instances 1010 [739,271] precision 0.87345 [0.939617,0.692771] precision 0.869691 [0.934307,0.693252] precision 0.872189 [0.938235,0.691843] precision 0.864294 [0.925395,0.697452] precision 0.874256 [0.934971,0.708464] precision 0.853308 [0.921283,0.667692] precision 0.86784 [0.931686,0.693498] precision 0.843857 [0.912917,0.65528] precision 0.85173 [0.910112,0.692308] precision 0.850552 [0.905687,0.7] precision 0.862751 [0.929722,0.679878] precision 0.855565 [0.917261,0.687097] precision 0.864019 [0.929927,0.684049] precision 0.876154 [0.936416,0.711599] precision 0.866663 [0.929191,0.695925] precision 0.872358 [0.933526,0.705329] precision 0.852044 [0.921053,0.663609] precision 0.882253 [0.945668,0.709091] precision 0.855226 [0.921626,0.673913] precision 0.882414 [0.942029,0.719626] precision 0.869618 [0.92735,0.711974] precision 0.875717 [0.934003,0.716561] precision 0.870836 [0.928673,0.712903] precision 0.886205 [0.944928,0.725857] precision 0.860487 [0.922525,0.691083] precision 0.87817 [0.932011,0.731148] precision 0.869086 [0.933042,0.694444] precision 0.862212 [0.926194,0.6875] precision 0.878622 [0.93913,0.713396] precision 0.861978 [0.921652,0.699029] precision 0.865068 [0.924286,0.70418] precision 0.875363 [0.937409,0.70679] precision 0.859019 [0.9233,0.684375] precision 0.856014 [0.929641,0.655977] precision 0.856467 [0.921739,0.679128] precision 0.869642 [0.937778,0.684524] precision 0.846952 [0.908062,0.680921] precision 0.865758 [0.924394,0.706452] precision 0.859568 [0.929099,0.670659] precision 0.862159 [0.926087,0.688474] precision 0.852736 [0.917749,0.676101] precision 0.881586 [0.944282,0.711246] precision 0.858953 [0.928994,0.668657] precision 0.862474 [0.922747,0.698718] precision 0.869962 [0.929598,0.707937] precision 0.871744 [0.932179,0.707547] precision 0.862906 [0.925072,0.694006] precision 0.86942 [0.928367,0.709265] precision 0.859007 [0.930163,0.66568] precision 0.874875 [0.934971,0.711599] precision 0.862345 [0.923851,0.695238] precision 0.860339 [0.923521,0.688679] precision 0.861453 [0.930576,0.673653] precision 0.868512 [0.930535,0.7] precision 0.866153 [0.926724,0.701587] precision 0.88225 [0.949329,0.7] precision 0.863958 [0.932153,0.678679] precision 0.870988 [0.933237,0.701863] precision 0.876106 [0.936324,0.7125] precision 0.880944 [0.946667,0.702381] precision 0.85896 [0.924419,0.681115] precision 0.858282 [0.926579,0.672727] precision 0.864022 [0.921875,0.70684] precision 0.856632 [0.91954,0.685714] precision 0.866041 [0.92785,0.698113] precision 0.856893 [0.917379,0.692557] precision 0.890441 [0.950292,0.727829] precision 0.850106 [0.920588,0.65861] precision 0.873401 [0.9301,0.719355] precision 0.860262 [0.924638,0.685358] precision 0.870925 [0.934402,0.698462] precision 0.862303 [0.919378,0.707237] precision 0.86305 [0.916201,0.718644] precision 0.861433 [0.928258,0.679878] precision 0.855798 [0.926145,0.664671] precision 0.864382 [0.924177,0.701923] precision 0.868737 [0.928264,0.707006] precision 0.889162 [0.955224,0.709677] precision 0.86206 [0.929515,0.678788] precision 0.850179 [0.916185,0.670846] precision 0.872058 [0.938144,0.691843] precision 0.863242 [0.929722,0.681957] precision 0.86577 [0.933628,0.680723] precision 0.874697 [0.926864,0.732441] precision 0.860148 [0.93037,0.668657] precision 0.85396 [0.917986,0.679365] precision 0.864593 [0.918654,0.717172] precision 0.876694 [0.936416,0.713836] precision 0.865772 [0.931287,0.687117] precision 0.863267 [0.928571,0.685185] precision 0.859787 [0.921203,0.692308] precision 0.856373 [0.921739,0.678125] precision 0.882169 [0.937143,0.732258] precision 0.858201 [0.925439,0.674847] precision 0.878425 [0.940233,0.709877] precision 0.850639 [0.920705,0.659574] precision 0.872783 [0.941878,0.684366] precision 0.848236 [0.908322,0.684385] precision 0.880778 [0.936963,0.727564] precision 0.869795 [0.941441,0.674419] predictive_accuracy 0.858556 predictive_accuracy 0.856578 predictive_accuracy 0.857567 predictive_accuracy 0.854599 predictive_accuracy 0.863501 predictive_accuracy 0.839763 predictive_accuracy 0.855589 predictive_accuracy 0.830861 predictive_accuracy 0.845697 predictive_accuracy 0.846686 predictive_accuracy 0.848665 predictive_accuracy 0.846686 predictive_accuracy 0.850643 predictive_accuracy 0.86548 predictive_accuracy 0.855589 predictive_accuracy 0.861523 predictive_accuracy 0.837784 predictive_accuracy 0.868447 predictive_accuracy 0.84273 predictive_accuracy 0.871414 predictive_accuracy 0.861523 predictive_accuracy 0.866469 predictive_accuracy 0.862512 predictive_accuracy 0.875371 predictive_accuracy 0.850643 predictive_accuracy 0.871414 predictive_accuracy 0.856578 predictive_accuracy 0.850643 predictive_accuracy 0.867458 predictive_accuracy 0.85361 predictive_accuracy 0.856578 predictive_accuracy 0.863501 predictive_accuracy 0.847676 predictive_accuracy 0.836795 predictive_accuracy 0.844708 predictive_accuracy 0.85361 predictive_accuracy 0.839763 predictive_accuracy 0.857567 predictive_accuracy 0.843719 predictive_accuracy 0.850643 predictive_accuracy 0.841741 predictive_accuracy 0.868447 predictive_accuracy 0.84273 predictive_accuracy 0.85361 predictive_accuracy 0.860534 predictive_accuracy 0.861523 predictive_accuracy 0.852621 predictive_accuracy 0.860534 predictive_accuracy 0.841741 predictive_accuracy 0.864491 predictive_accuracy 0.852621 predictive_accuracy 0.849654 predictive_accuracy 0.845697 predictive_accuracy 0.857567 predictive_accuracy 0.856578 predictive_accuracy 0.86548 predictive_accuracy 0.848665 predictive_accuracy 0.859545 predictive_accuracy 0.86548 predictive_accuracy 0.86548 predictive_accuracy 0.846686 predictive_accuracy 0.843719 predictive_accuracy 0.856578 predictive_accuracy 0.846686 predictive_accuracy 0.855589 predictive_accuracy 0.848665 predictive_accuracy 0.878338 predictive_accuracy 0.834817 predictive_accuracy 0.86548 predictive_accuracy 0.848665 predictive_accuracy 0.858556 predictive_accuracy 0.855589 predictive_accuracy 0.858556 predictive_accuracy 0.847676 predictive_accuracy 0.839763 predictive_accuracy 0.855589 predictive_accuracy 0.859545 predictive_accuracy 0.872404 predictive_accuracy 0.847676 predictive_accuracy 0.838773 predictive_accuracy 0.857426 predictive_accuracy 0.849505 predictive_accuracy 0.850495 predictive_accuracy 0.869307 predictive_accuracy 0.843564 predictive_accuracy 0.843564 predictive_accuracy 0.859406 predictive_accuracy 0.866337 predictive_accuracy 0.852475 predictive_accuracy 0.850495 predictive_accuracy 0.850495 predictive_accuracy 0.844554 predictive_accuracy 0.874257 predictive_accuracy 0.844554 predictive_accuracy 0.866337 predictive_accuracy 0.835644 predictive_accuracy 0.855446 predictive_accuracy 0.841584 predictive_accuracy 0.872277 predictive_accuracy 0.850495 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 prior_entropy 0.839513 recall 0.858556 [0.862162,0.848708] recall 0.856578 [0.864865,0.833948] recall 0.857567 [0.862162,0.845018] recall 0.854599 [0.871622,0.808118] recall 0.863501 [0.874324,0.833948] recall 0.839763 [0.854054,0.800738] recall 0.855589 [0.866216,0.826568] recall 0.830861 [0.85,0.778598] recall 0.845697 [0.875676,0.763838] recall 0.846686 [0.882432,0.749077] recall 0.848665 [0.858108,0.822878] recall 0.846686 [0.868919,0.785978] recall 0.850643 [0.860811,0.822878] recall 0.86548 [0.875676,0.837638] recall 0.855589 [0.868919,0.819188] recall 0.861523 [0.872973,0.830258] recall 0.837784 [0.851351,0.800738] recall 0.868447 [0.87027,0.863469] recall 0.84273 [0.858108,0.800738] recall 0.871414 [0.878378,0.852399] recall 0.861523 [0.87973,0.811808] recall 0.866469 [0.87973,0.830258] recall 0.862512 [0.87973,0.815498] recall 0.875371 [0.881081,0.859779] recall 0.850643 [0.868919,0.800738] recall 0.871414 [0.889189,0.822878] recall 0.856578 [0.866216,0.830258] recall 0.850643 [0.864865,0.811808] recall 0.867458 [0.875676,0.845018] recall 0.85361 [0.874324,0.797048] recall 0.856578 [0.875507,0.805147] recall 0.863501 [0.871448,0.841912] recall 0.847676 [0.863329,0.805147] recall 0.836795 [0.840325,0.827206] recall 0.844708 [0.860622,0.801471] recall 0.85361 [0.856563,0.845588] recall 0.839763 [0.868742,0.761029] recall 0.857567 [0.876861,0.805147] recall 0.843719 [0.85115,0.823529] recall 0.850643 [0.864682,0.8125] recall 0.841741 [0.860622,0.790441] recall 0.868447 [0.871448,0.860294] recall 0.84273 [0.849797,0.823529] recall 0.85361 [0.872801,0.801471] recall 0.860534 [0.875507,0.819853] recall 0.861523 [0.874154,0.827206] recall 0.852621 [0.868742,0.808824] recall 0.860534 [0.876861,0.816176] recall 0.841741 [0.847091,0.827206] recall 0.864491 [0.875507,0.834559] recall 0.852621 [0.870095,0.805147] recall 0.849654 [0.866035,0.805147] recall 0.845697 [0.852503,0.827206] recall 0.857567 [0.870095,0.823529] recall 0.856578 [0.872801,0.8125] recall 0.86548 [0.861976,0.875] recall 0.848665 [0.85521,0.830882] recall 0.859545 [0.870095,0.830882] recall 0.86548 [0.875507,0.838235] recall 0.86548 [0.864682,0.867647] recall 0.846686 [0.860622,0.808824] recall 0.843719 [0.853857,0.816176] recall 0.856578 [0.878214,0.797794] recall 0.846686 [0.866035,0.794118] recall 0.855589 [0.870095,0.816176] recall 0.848665 [0.871448,0.786765] recall 0.878338 [0.879567,0.875] recall 0.834817 [0.847091,0.801471] recall 0.86548 [0.882273,0.819853] recall 0.848665 [0.863329,0.808824] recall 0.858556 [0.867388,0.834559] recall 0.855589 [0.879567,0.790441] recall 0.858556 [0.887686,0.779412] recall 0.847676 [0.857916,0.819853] recall 0.839763 [0.848444,0.816176] recall 0.855589 [0.874154,0.805147] recall 0.859545 [0.875507,0.816176] recall 0.872404 [0.866035,0.889706] recall 0.847676 [0.856563,0.823529] recall 0.838773 [0.857916,0.786765] recall 0.857426 [0.861976,0.845018] recall 0.849505 [0.859269,0.822878] recall 0.850495 [0.856563,0.833948] recall 0.869307 [0.891746,0.808118] recall 0.843564 [0.849797,0.826568] recall 0.843564 [0.863329,0.789668] recall 0.859406 [0.886333,0.785978] recall 0.866337 [0.876861,0.837638] recall 0.852475 [0.861976,0.826568] recall 0.850495 [0.861976,0.819188] recall 0.850495 [0.870095,0.797048] recall 0.844554 [0.860622,0.800738] recall 0.874257 [0.887686,0.837638] recall 0.844554 [0.856563,0.811808] recall 0.866337 [0.872801,0.848708] recall 0.835644 [0.848444,0.800738] recall 0.855446 [0.85521,0.856089] recall 0.841584 [0.871448,0.760148] recall 0.872277 [0.88498,0.837638] recall 0.850495 [0.848444,0.856089] relative_absolute_error 0.396577 relative_absolute_error 0.389945 relative_absolute_error 0.38654 relative_absolute_error 0.399495 relative_absolute_error 0.361898 relative_absolute_error 0.41911 relative_absolute_error 0.384648 relative_absolute_error 0.442168 relative_absolute_error 0.414177 relative_absolute_error 0.410411 relative_absolute_error 0.407334 relative_absolute_error 0.420286 relative_absolute_error 0.418817 relative_absolute_error 0.376388 relative_absolute_error 0.402079 relative_absolute_error 0.369691 relative_absolute_error 0.44769 relative_absolute_error 0.366921 relative_absolute_error 0.432295 relative_absolute_error 0.355263 relative_absolute_error 0.373029 relative_absolute_error 0.388124 relative_absolute_error 0.377557 relative_absolute_error 0.349774 relative_absolute_error 0.411318 relative_absolute_error 0.353683 relative_absolute_error 0.39804 relative_absolute_error 0.414389 relative_absolute_error 0.372667 relative_absolute_error 0.402036 relative_absolute_error 0.387721 relative_absolute_error 0.372706 relative_absolute_error 0.405586 relative_absolute_error 0.432893 relative_absolute_error 0.410184 relative_absolute_error 0.395777 relative_absolute_error 0.42468 relative_absolute_error 0.385127 relative_absolute_error 0.422711 relative_absolute_error 0.3995 relative_absolute_error 0.412456 relative_absolute_error 0.35863 relative_absolute_error 0.418875 relative_absolute_error 0.396274 relative_absolute_error 0.382092 relative_absolute_error 0.380528 relative_absolute_error 0.393003 relative_absolute_error 0.381572 relative_absolute_error 0.418947 relative_absolute_error 0.365031 relative_absolute_error 0.400588 relative_absolute_error 0.408106 relative_absolute_error 0.41502 relative_absolute_error 0.386084 relative_absolute_error 0.394961 relative_absolute_error 0.377861 relative_absolute_error 0.420057 relative_absolute_error 0.386392 relative_absolute_error 0.355752 relative_absolute_error 0.366302 relative_absolute_error 0.413856 relative_absolute_error 0.405297 relative_absolute_error 0.391761 relative_absolute_error 0.422545 relative_absolute_error 0.398763 relative_absolute_error 0.410647 relative_absolute_error 0.346205 relative_absolute_error 0.426024 relative_absolute_error 0.380185 relative_absolute_error 0.410371 relative_absolute_error 0.369973 relative_absolute_error 0.398848 relative_absolute_error 0.387533 relative_absolute_error 0.4078 relative_absolute_error 0.428974 relative_absolute_error 0.387647 relative_absolute_error 0.385799 relative_absolute_error 0.360089 relative_absolute_error 0.430183 relative_absolute_error 0.430661 relative_absolute_error 0.402437 relative_absolute_error 0.402749 relative_absolute_error 0.399814 relative_absolute_error 0.370984 relative_absolute_error 0.404461 relative_absolute_error 0.425546 relative_absolute_error 0.369642 relative_absolute_error 0.37173 relative_absolute_error 0.385412 relative_absolute_error 0.423094 relative_absolute_error 0.399228 relative_absolute_error 0.411378 relative_absolute_error 0.355714 relative_absolute_error 0.422285 relative_absolute_error 0.374076 relative_absolute_error 0.444449 relative_absolute_error 0.391945 relative_absolute_error 0.424399 relative_absolute_error 0.346541 relative_absolute_error 0.398078 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.442945 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443461 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_prior_squared_error 0.443084 root_mean_squared_error 0.343897 root_mean_squared_error 0.341777 root_mean_squared_error 0.34003 root_mean_squared_error 0.3462 root_mean_squared_error 0.324313 root_mean_squared_error 0.357275 root_mean_squared_error 0.339033 root_mean_squared_error 0.368318 root_mean_squared_error 0.355306 root_mean_squared_error 0.353725 root_mean_squared_error 0.349376 root_mean_squared_error 0.351384 root_mean_squared_error 0.353535 root_mean_squared_error 0.33586 root_mean_squared_error 0.344352 root_mean_squared_error 0.329455 root_mean_squared_error 0.368139 root_mean_squared_error 0.333454 root_mean_squared_error 0.363125 root_mean_squared_error 0.328159 root_mean_squared_error 0.333551 root_mean_squared_error 0.34113 root_mean_squared_error 0.338836 root_mean_squared_error 0.314111 root_mean_squared_error 0.357462 root_mean_squared_error 0.323723 root_mean_squared_error 0.34432 root_mean_squared_error 0.349625 root_mean_squared_error 0.333279 root_mean_squared_error 0.348512 root_mean_squared_error 0.346234 root_mean_squared_error 0.331858 root_mean_squared_error 0.348462 root_mean_squared_error 0.366399 root_mean_squared_error 0.354611 root_mean_squared_error 0.340409 root_mean_squared_error 0.360525 root_mean_squared_error 0.344452 root_mean_squared_error 0.358035 root_mean_squared_error 0.344432 root_mean_squared_error 0.35306 root_mean_squared_error 0.324968 root_mean_squared_error 0.353759 root_mean_squared_error 0.345314 root_mean_squared_error 0.341434 root_mean_squared_error 0.335688 root_mean_squared_error 0.346954 root_mean_squared_error 0.338971 root_mean_squared_error 0.355267 root_mean_squared_error 0.331012 root_mean_squared_error 0.347037 root_mean_squared_error 0.355908 root_mean_squared_error 0.357261 root_mean_squared_error 0.340567 root_mean_squared_error 0.345268 root_mean_squared_error 0.338453 root_mean_squared_error 0.356586 root_mean_squared_error 0.339177 root_mean_squared_error 0.324601 root_mean_squared_error 0.323596 root_mean_squared_error 0.353407 root_mean_squared_error 0.356667 root_mean_squared_error 0.34077 root_mean_squared_error 0.356413 root_mean_squared_error 0.346409 root_mean_squared_error 0.35243 root_mean_squared_error 0.316571 root_mean_squared_error 0.361663 root_mean_squared_error 0.335088 root_mean_squared_error 0.353189 root_mean_squared_error 0.333233 root_mean_squared_error 0.34168 root_mean_squared_error 0.342106 root_mean_squared_error 0.353445 root_mean_squared_error 0.357208 root_mean_squared_error 0.34264 root_mean_squared_error 0.341623 root_mean_squared_error 0.328975 root_mean_squared_error 0.361214 root_mean_squared_error 0.360236 root_mean_squared_error 0.347361 root_mean_squared_error 0.349655 root_mean_squared_error 0.350189 root_mean_squared_error 0.330442 root_mean_squared_error 0.347492 root_mean_squared_error 0.361557 root_mean_squared_error 0.332336 root_mean_squared_error 0.329556 root_mean_squared_error 0.339381 root_mean_squared_error 0.360181 root_mean_squared_error 0.345549 root_mean_squared_error 0.352178 root_mean_squared_error 0.324062 root_mean_squared_error 0.361559 root_mean_squared_error 0.336685 root_mean_squared_error 0.371189 root_mean_squared_error 0.34317 root_mean_squared_error 0.353279 root_mean_squared_error 0.321488 root_mean_squared_error 0.347192 root_relative_squared_error 0.776389 root_relative_squared_error 0.771602 root_relative_squared_error 0.767657 root_relative_squared_error 0.781586 root_relative_squared_error 0.732174 root_relative_squared_error 0.806589 root_relative_squared_error 0.765406 root_relative_squared_error 0.831521 root_relative_squared_error 0.802144 root_relative_squared_error 0.798575 root_relative_squared_error 0.788756 root_relative_squared_error 0.793291 root_relative_squared_error 0.798146 root_relative_squared_error 0.758243 root_relative_squared_error 0.777416 root_relative_squared_error 0.743784 root_relative_squared_error 0.831116 root_relative_squared_error 0.752812 root_relative_squared_error 0.819798 root_relative_squared_error 0.740857 root_relative_squared_error 0.75303 root_relative_squared_error 0.770141 root_relative_squared_error 0.764961 root_relative_squared_error 0.709143 root_relative_squared_error 0.807013 root_relative_squared_error 0.730844 root_relative_squared_error 0.777342 root_relative_squared_error 0.78932 root_relative_squared_error 0.752417 root_relative_squared_error 0.786807 root_relative_squared_error 0.780754 root_relative_squared_error 0.748336 root_relative_squared_error 0.785777 root_relative_squared_error 0.826227 root_relative_squared_error 0.799644 root_relative_squared_error 0.767618 root_relative_squared_error 0.812979 root_relative_squared_error 0.776735 root_relative_squared_error 0.807365 root_relative_squared_error 0.776691 root_relative_squared_error 0.796147 root_relative_squared_error 0.7328 root_relative_squared_error 0.797722 root_relative_squared_error 0.77868 root_relative_squared_error 0.76993 root_relative_squared_error 0.756973 root_relative_squared_error 0.782377 root_relative_squared_error 0.764377 root_relative_squared_error 0.801123 root_relative_squared_error 0.746428 root_relative_squared_error 0.782564 root_relative_squared_error 0.802569 root_relative_squared_error 0.805619 root_relative_squared_error 0.767975 root_relative_squared_error 0.778576 root_relative_squared_error 0.763208 root_relative_squared_error 0.804098 root_relative_squared_error 0.764841 root_relative_squared_error 0.731971 root_relative_squared_error 0.729705 root_relative_squared_error 0.796928 root_relative_squared_error 0.804281 root_relative_squared_error 0.768433 root_relative_squared_error 0.803708 root_relative_squared_error 0.781148 root_relative_squared_error 0.794726 root_relative_squared_error 0.713864 root_relative_squared_error 0.815545 root_relative_squared_error 0.755619 root_relative_squared_error 0.796437 root_relative_squared_error 0.751437 root_relative_squared_error 0.770485 root_relative_squared_error 0.771445 root_relative_squared_error 0.797013 root_relative_squared_error 0.8055 root_relative_squared_error 0.772649 root_relative_squared_error 0.770355 root_relative_squared_error 0.741835 root_relative_squared_error 0.814534 root_relative_squared_error 0.812328 root_relative_squared_error 0.783962 root_relative_squared_error 0.789141 root_relative_squared_error 0.790345 root_relative_squared_error 0.745779 root_relative_squared_error 0.784259 root_relative_squared_error 0.816002 root_relative_squared_error 0.750052 root_relative_squared_error 0.74378 root_relative_squared_error 0.765953 root_relative_squared_error 0.812896 root_relative_squared_error 0.779874 root_relative_squared_error 0.794835 root_relative_squared_error 0.731379 root_relative_squared_error 0.816006 root_relative_squared_error 0.759869 root_relative_squared_error 0.83774 root_relative_squared_error 0.774503 root_relative_squared_error 0.79732 root_relative_squared_error 0.725571 root_relative_squared_error 0.783582 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 40 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 70 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 90 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 60 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 70 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 60 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 70 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 40 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 60 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 70 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 80 usercpu_time_millis_training 40 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50 usercpu_time_millis_training 50