316765 2 Joaquin Vanschoren 4291 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 1077393 description https://api.openml.org/data/download/1077393/weka_generated_run7562724263354437588.xml -1 1077396 model_readable https://api.openml.org/data/download/1077396/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE9029041516828279239.model -1 1077395 model_serialized https://api.openml.org/data/download/1077395/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE5695877596782749661.model -1 1077394 predictions https://api.openml.org/data/download/1077394/weka_generated_predictions4594751469785890180.arff area_under_roc_curve 0.861063 [0.861063,0.861063] average_cost 0 f_measure 0.777111 [0.776824,0.777401] kappa 0.554235 kb_relative_information_score 18316.643285 mean_absolute_error 0.292049 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic] precision 0.777147 [0.780642,0.773627] predictive_accuracy 0.777113 prior_entropy 0.999991 recall 0.777113 [0.773044,0.781211] relative_absolute_error 0.584105 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.389537 root_relative_squared_error 0.779078 scimark_benchmark 1341.579517 [806.7718259494214, 1014.1868590421574, 545.6005383039202, 1115.5064282480778, 3225.831934801083] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_training 20 area_under_roc_curve 0.882352 [0.882352,0.882352] area_under_roc_curve 0.867685 [0.867685,0.867685] area_under_roc_curve 0.853128 [0.853128,0.853128] area_under_roc_curve 0.858299 [0.858299,0.858299] area_under_roc_curve 0.853712 [0.853712,0.853712] area_under_roc_curve 0.845677 [0.845677,0.845677] area_under_roc_curve 0.865491 [0.865491,0.865491] area_under_roc_curve 0.861081 [0.861081,0.861081] area_under_roc_curve 0.875438 [0.875438,0.875438] area_under_roc_curve 0.877166 [0.877166,0.877166] area_under_roc_curve 0.845673 [0.845673,0.845673] area_under_roc_curve 0.880483 [0.880483,0.880483] area_under_roc_curve 0.845559 [0.845559,0.845559] area_under_roc_curve 0.898798 [0.898798,0.898798] area_under_roc_curve 0.859615 [0.859615,0.859615] area_under_roc_curve 0.859135 [0.859135,0.859135] area_under_roc_curve 0.852232 [0.852232,0.852232] area_under_roc_curve 0.851316 [0.851316,0.851316] area_under_roc_curve 0.860714 [0.860714,0.860714] area_under_roc_curve 0.853297 [0.853297,0.853297] area_under_roc_curve 0.913484 [0.913484,0.913484] area_under_roc_curve 0.880907 [0.880907,0.880907] area_under_roc_curve 0.879418 [0.879418,0.879418] area_under_roc_curve 0.869151 [0.869151,0.869151] area_under_roc_curve 0.832738 [0.832738,0.832738] area_under_roc_curve 0.806364 [0.806364,0.806364] area_under_roc_curve 0.889526 [0.889526,0.889526] area_under_roc_curve 0.8534 [0.8534,0.8534] area_under_roc_curve 0.857109 [0.857109,0.857109] area_under_roc_curve 0.858333 [0.858333,0.858333] area_under_roc_curve 0.82603 [0.82603,0.82603] area_under_roc_curve 0.846886 [0.846886,0.846886] area_under_roc_curve 0.877381 [0.877381,0.877381] area_under_roc_curve 0.83552 [0.83552,0.83552] area_under_roc_curve 0.879556 [0.879556,0.879556] area_under_roc_curve 0.848237 [0.848237,0.848237] area_under_roc_curve 0.824588 [0.824588,0.824588] area_under_roc_curve 0.848672 [0.848672,0.848672] area_under_roc_curve 0.841174 [0.841174,0.841174] area_under_roc_curve 0.863954 [0.863954,0.863954] area_under_roc_curve 0.828583 [0.828583,0.828583] area_under_roc_curve 0.8644 [0.8644,0.8644] area_under_roc_curve 0.879167 [0.879167,0.879167] area_under_roc_curve 0.854212 [0.854212,0.854212] area_under_roc_curve 0.837145 [0.837145,0.837145] area_under_roc_curve 0.849473 [0.849473,0.849473] area_under_roc_curve 0.877221 [0.877221,0.877221] area_under_roc_curve 0.859146 [0.859146,0.859146] area_under_roc_curve 0.87888 [0.87888,0.87888] area_under_roc_curve 0.880689 [0.880689,0.880689] area_under_roc_curve 0.854293 [0.854293,0.854293] area_under_roc_curve 0.867983 [0.867983,0.867983] area_under_roc_curve 0.853285 [0.853285,0.853285] area_under_roc_curve 0.862328 [0.862328,0.862328] area_under_roc_curve 0.876419 [0.876419,0.876419] area_under_roc_curve 0.882864 [0.882864,0.882864] area_under_roc_curve 0.858196 [0.858196,0.858196] area_under_roc_curve 0.862489 [0.862489,0.862489] area_under_roc_curve 0.846005 [0.846005,0.846005] area_under_roc_curve 0.842079 [0.842079,0.842079] area_under_roc_curve 0.856273 [0.856273,0.856273] area_under_roc_curve 0.85425 [0.85425,0.85425] area_under_roc_curve 0.885668 [0.885668,0.885668] area_under_roc_curve 0.860889 [0.860889,0.860889] area_under_roc_curve 0.88639 [0.88639,0.88639] area_under_roc_curve 0.895009 [0.895009,0.895009] area_under_roc_curve 0.865808 [0.865808,0.865808] area_under_roc_curve 0.87055 [0.87055,0.87055] area_under_roc_curve 0.852816 [0.852816,0.852816] area_under_roc_curve 0.856857 [0.856857,0.856857] area_under_roc_curve 0.87799 [0.87799,0.87799] area_under_roc_curve 0.842071 [0.842071,0.842071] area_under_roc_curve 0.872447 [0.872447,0.872447] area_under_roc_curve 0.847028 [0.847028,0.847028] area_under_roc_curve 0.871757 [0.871757,0.871757] area_under_roc_curve 0.861175 [0.861175,0.861175] area_under_roc_curve 0.876001 [0.876001,0.876001] area_under_roc_curve 0.879727 [0.879727,0.879727] area_under_roc_curve 0.8953 [0.8953,0.8953] area_under_roc_curve 0.881521 [0.881521,0.881521] area_under_roc_curve 0.885075 [0.885075,0.885075] area_under_roc_curve 0.884903 [0.884903,0.884903] area_under_roc_curve 0.851985 [0.851985,0.851985] area_under_roc_curve 0.855505 [0.855505,0.855505] area_under_roc_curve 0.843796 [0.843796,0.843796] area_under_roc_curve 0.868375 [0.868375,0.868375] area_under_roc_curve 0.837367 [0.837367,0.837367] area_under_roc_curve 0.835503 [0.835503,0.835503] area_under_roc_curve 0.860956 [0.860956,0.860956] area_under_roc_curve 0.833583 [0.833583,0.833583] area_under_roc_curve 0.84919 [0.84919,0.84919] area_under_roc_curve 0.842968 [0.842968,0.842968] area_under_roc_curve 0.845211 [0.845211,0.845211] area_under_roc_curve 0.857218 [0.857218,0.857218] area_under_roc_curve 0.877726 [0.877726,0.877726] area_under_roc_curve 0.883143 [0.883143,0.883143] area_under_roc_curve 0.877875 [0.877875,0.877875] area_under_roc_curve 0.875276 [0.875276,0.875276] area_under_roc_curve 0.850501 [0.850501,0.850501] area_under_roc_curve 0.848512 [0.848512,0.848512] 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 0.791836 [0.789346,0.794326] f_measure 0.787039 [0.784504,0.789598] f_measure 0.755707 [0.747525,0.763889] f_measure 0.770177 [0.764706,0.775701] f_measure 0.753576 [0.755344,0.751807] f_measure 0.772726 [0.772182,0.77327] f_measure 0.767782 [0.761671,0.773893] f_measure 0.791824 [0.789346,0.794326] f_measure 0.775099 [0.777251,0.772947] f_measure 0.782196 [0.777506,0.786885] f_measure 0.755668 [0.764977,0.746269] f_measure 0.791824 [0.789346,0.794326] f_measure 0.77512 [0.77619,0.774038] f_measure 0.801364 [0.805621,0.797066] f_measure 0.789271 [0.796296,0.782178] f_measure 0.772682 [0.769976,0.775414] f_measure 0.765389 [0.772093,0.758621] f_measure 0.767753 [0.761671,0.773893] f_measure 0.782293 [0.781775,0.782816] f_measure 0.767683 [0.760494,0.774942] f_measure 0.84689 [0.847619,0.846154] f_measure 0.789474 [0.790476,0.788462] f_measure 0.774552 [0.786364,0.762626] f_measure 0.767944 [0.768496,0.767386] f_measure 0.748782 [0.746988,0.750594] f_measure 0.729642 [0.727711,0.731591] f_measure 0.806217 [0.805755,0.806683] f_measure 0.763159 [0.763723,0.76259] f_measure 0.784679 [0.783654,0.785714] f_measure 0.765486 [0.769953,0.760976] f_measure 0.742696 [0.724936,0.760626] f_measure 0.763024 [0.769231,0.756757] f_measure 0.78677 [0.779156,0.794457] f_measure 0.744021 [0.74463,0.743405] f_measure 0.782278 [0.780723,0.783848] f_measure 0.767939 [0.767386,0.768496] f_measure 0.75359 [0.754177,0.752998] f_measure 0.763138 [0.761446,0.764846] f_measure 0.755813 [0.75,0.761682] f_measure 0.789416 [0.793427,0.785366] f_measure 0.760733 [0.764151,0.757282] f_measure 0.77023 [0.775701,0.764706] f_measure 0.798905 [0.804651,0.793103] f_measure 0.787083 [0.787589,0.786571] f_measure 0.760755 [0.759615,0.761905] f_measure 0.763138 [0.761446,0.764846] f_measure 0.787063 [0.785542,0.788599] f_measure 0.777493 [0.780142,0.774818] f_measure 0.798951 [0.795122,0.802817] f_measure 0.801437 [0.801909,0.800959] f_measure 0.758325 [0.755448,0.761229] f_measure 0.775058 [0.771845,0.778302] f_measure 0.774831 [0.767327,0.782407] f_measure 0.779874 [0.783019,0.776699] f_measure 0.779803 [0.77561,0.784038] f_measure 0.794249 [0.793269,0.795238] f_measure 0.765486 [0.769953,0.760976] f_measure 0.765486 [0.769953,0.760976] f_measure 0.755813 [0.762791,0.748768] f_measure 0.762502 [0.75063,0.774487] f_measure 0.760766 [0.760766,0.760766] f_measure 0.779884 [0.781991,0.777778] f_measure 0.813218 [0.819444,0.806931] f_measure 0.78461 [0.780488,0.788732] f_measure 0.803801 [0.801932,0.805687] f_measure 0.808525 [0.813084,0.803922] f_measure 0.765325 [0.758621,0.772093] f_measure 0.801425 [0.8,0.80285] f_measure 0.772645 [0.768856,0.776471] f_measure 0.770272 [0.774648,0.765854] f_measure 0.798559 [0.798077,0.799043] f_measure 0.760115 [0.756098,0.764151] f_measure 0.800957 [0.801909,0.8] f_measure 0.755396 [0.755981,0.754808] f_measure 0.791331 [0.794326,0.788321] f_measure 0.776629 [0.76808,0.785219] f_measure 0.788809 [0.783251,0.794393] f_measure 0.798408 [0.793103,0.803738] f_measure 0.805413 [0.813793,0.796992] f_measure 0.810381 [0.804938,0.815851] f_measure 0.812581 [0.821101,0.80402] f_measure 0.810432 [0.805897,0.814988] f_measure 0.757752 [0.761229,0.754258] f_measure 0.781704 [0.785882,0.777506] f_measure 0.755337 [0.759434,0.75122] f_measure 0.784158 [0.782609,0.785714] f_measure 0.752955 [0.756501,0.749392] f_measure 0.736126 [0.731707,0.740566] f_measure 0.786556 [0.788599,0.784504] f_measure 0.75521 [0.748768,0.761682] f_measure 0.767386 [0.767386,0.767386] f_measure 0.743136 [0.75174,0.734491] f_measure 0.757207 [0.745592,0.768879] f_measure 0.776886 [0.772616,0.781176] f_measure 0.800911 [0.798054,0.803783] f_measure 0.803181 [0.809302,0.79703] f_measure 0.800911 [0.798054,0.803783] f_measure 0.78365 [0.794521,0.772727] f_measure 0.757716 [0.762353,0.753056] f_measure 0.769665 [0.764706,0.774648] kappa 0.583732 kappa 0.574221 kappa 0.511962 kappa 0.540785 kappa 0.507177 kappa 0.545455 kappa 0.535885 kappa 0.583789 kappa 0.550239 kappa 0.564593 kappa 0.511794 kappa 0.583789 kappa 0.550229 kappa 0.602798 kappa 0.578822 kappa 0.545517 kappa 0.530982 kappa 0.536013 kappa 0.564613 kappa 0.536034 kappa 0.693773 kappa 0.578938 kappa 0.550023 kappa 0.535885 kappa 0.497654 kappa 0.45938 kappa 0.612458 kappa 0.526316 kappa 0.569408 kappa 0.531025 kappa 0.48839 kappa 0.526207 kappa 0.574319 kappa 0.488038 kappa 0.564633 kappa 0.535906 kappa 0.507177 kappa 0.526359 kappa 0.512085 kappa 0.57888 kappa 0.521476 kappa 0.540575 kappa 0.597985 kappa 0.574163 kappa 0.521564 kappa 0.526359 kappa 0.574202 kappa 0.554983 kappa 0.598169 kappa 0.602871 kappa 0.516813 kappa 0.550311 kappa 0.550394 kappa 0.559758 kappa 0.559899 kappa 0.588545 kappa 0.531025 kappa 0.531025 kappa 0.511839 kappa 0.526554 kappa 0.521542 kappa 0.559809 kappa 0.626683 kappa 0.569378 kappa 0.6077 kappa 0.617146 kappa 0.53124 kappa 0.602871 kappa 0.545538 kappa 0.540596 kappa 0.597129 kappa 0.520425 kappa 0.601912 kappa 0.510789 kappa 0.582707 kappa 0.554041 kappa 0.577993 kappa 0.597176 kappa 0.611433 kappa 0.621158 kappa 0.62582 kappa 0.621149 kappa 0.515557 kappa 0.563512 kappa 0.510755 kappa 0.568363 kappa 0.505964 kappa 0.472468 kappa 0.573124 kappa 0.510856 kappa 0.534775 kappa 0.486731 kappa 0.515702 kappa 0.554 kappa 0.601948 kappa 0.606658 kappa 0.601948 kappa 0.568244 kappa 0.515546 kappa 0.539619 kb_relative_information_score 194.947386 kb_relative_information_score 188.326525 kb_relative_information_score 178.740749 kb_relative_information_score 181.566833 kb_relative_information_score 173.986624 kb_relative_information_score 174.052971 kb_relative_information_score 186.176436 kb_relative_information_score 188.901226 kb_relative_information_score 190.371777 kb_relative_information_score 187.664499 kb_relative_information_score 175.014346 kb_relative_information_score 200.420299 kb_relative_information_score 171.858407 kb_relative_information_score 205.925501 kb_relative_information_score 180.430018 kb_relative_information_score 178.405783 kb_relative_information_score 174.842693 kb_relative_information_score 174.356536 kb_relative_information_score 183.739551 kb_relative_information_score 180.38318 kb_relative_information_score 217.462329 kb_relative_information_score 191.642494 kb_relative_information_score 184.890819 kb_relative_information_score 191.016603 kb_relative_information_score 168.617652 kb_relative_information_score 152.73636 kb_relative_information_score 203.091807 kb_relative_information_score 169.602236 kb_relative_information_score 186.472641 kb_relative_information_score 183.806835 kb_relative_information_score 161.36103 kb_relative_information_score 178.948481 kb_relative_information_score 190.335442 kb_relative_information_score 169.605576 kb_relative_information_score 191.375843 kb_relative_information_score 177.728223 kb_relative_information_score 168.9352 kb_relative_information_score 176.066984 kb_relative_information_score 173.845703 kb_relative_information_score 185.305434 kb_relative_information_score 164.032115 kb_relative_information_score 183.469046 kb_relative_information_score 200.072241 kb_relative_information_score 177.553948 kb_relative_information_score 171.729693 kb_relative_information_score 178.656927 kb_relative_information_score 191.964474 kb_relative_information_score 176.47631 kb_relative_information_score 193.594579 kb_relative_information_score 193.343467 kb_relative_information_score 178.758319 kb_relative_information_score 184.374436 kb_relative_information_score 181.364453 kb_relative_information_score 188.11585 kb_relative_information_score 190.29212 kb_relative_information_score 197.31614 kb_relative_information_score 183.424846 kb_relative_information_score 180.820717 kb_relative_information_score 174.321545 kb_relative_information_score 169.60699 kb_relative_information_score 179.848792 kb_relative_information_score 177.474384 kb_relative_information_score 197.65517 kb_relative_information_score 186.19216 kb_relative_information_score 199.153154 kb_relative_information_score 202.723587 kb_relative_information_score 179.100353 kb_relative_information_score 189.390142 kb_relative_information_score 177.716027 kb_relative_information_score 178.454486 kb_relative_information_score 195.549598 kb_relative_information_score 170.058971 kb_relative_information_score 184.927154 kb_relative_information_score 169.32722 kb_relative_information_score 183.658872 kb_relative_information_score 179.549037 kb_relative_information_score 186.964631 kb_relative_information_score 199.457263 kb_relative_information_score 201.27877 kb_relative_information_score 197.228357 kb_relative_information_score 192.66555 kb_relative_information_score 204.158618 kb_relative_information_score 173.426787 kb_relative_information_score 173.952672 kb_relative_information_score 175.012731 kb_relative_information_score 182.761216 kb_relative_information_score 167.719569 kb_relative_information_score 171.029427 kb_relative_information_score 184.386648 kb_relative_information_score 171.416299 kb_relative_information_score 175.243994 kb_relative_information_score 172.137839 kb_relative_information_score 176.255796 kb_relative_information_score 180.462246 kb_relative_information_score 190.706975 kb_relative_information_score 197.857516 kb_relative_information_score 193.673725 kb_relative_information_score 188.23557 kb_relative_information_score 177.873367 kb_relative_information_score 179.711366 mean_absolute_error 0.278867 mean_absolute_error 0.28582 mean_absolute_error 0.297126 mean_absolute_error 0.29476 mean_absolute_error 0.302234 mean_absolute_error 0.302808 mean_absolute_error 0.287966 mean_absolute_error 0.285725 mean_absolute_error 0.283385 mean_absolute_error 0.287516 mean_absolute_error 0.300531 mean_absolute_error 0.271474 mean_absolute_error 0.306272 mean_absolute_error 0.266586 mean_absolute_error 0.296742 mean_absolute_error 0.297878 mean_absolute_error 0.301213 mean_absolute_error 0.302965 mean_absolute_error 0.292171 mean_absolute_error 0.295128 mean_absolute_error 0.254973 mean_absolute_error 0.283164 mean_absolute_error 0.290442 mean_absolute_error 0.280601 mean_absolute_error 0.308788 mean_absolute_error 0.326817 mean_absolute_error 0.269872 mean_absolute_error 0.308879 mean_absolute_error 0.286534 mean_absolute_error 0.28956 mean_absolute_error 0.316634 mean_absolute_error 0.296622 mean_absolute_error 0.284886 mean_absolute_error 0.306611 mean_absolute_error 0.282941 mean_absolute_error 0.298249 mean_absolute_error 0.307498 mean_absolute_error 0.298372 mean_absolute_error 0.301674 mean_absolute_error 0.289972 mean_absolute_error 0.315021 mean_absolute_error 0.291136 mean_absolute_error 0.27271 mean_absolute_error 0.299401 mean_absolute_error 0.304696 mean_absolute_error 0.29674 mean_absolute_error 0.283407 mean_absolute_error 0.301103 mean_absolute_error 0.281551 mean_absolute_error 0.280727 mean_absolute_error 0.295244 mean_absolute_error 0.291662 mean_absolute_error 0.293852 mean_absolute_error 0.284822 mean_absolute_error 0.283297 mean_absolute_error 0.276336 mean_absolute_error 0.290998 mean_absolute_error 0.293654 mean_absolute_error 0.302051 mean_absolute_error 0.308037 mean_absolute_error 0.29494 mean_absolute_error 0.298577 mean_absolute_error 0.277571 mean_absolute_error 0.288702 mean_absolute_error 0.274662 mean_absolute_error 0.270143 mean_absolute_error 0.297216 mean_absolute_error 0.285578 mean_absolute_error 0.298877 mean_absolute_error 0.29738 mean_absolute_error 0.277285 mean_absolute_error 0.307337 mean_absolute_error 0.291669 mean_absolute_error 0.306891 mean_absolute_error 0.292315 mean_absolute_error 0.296735 mean_absolute_error 0.287271 mean_absolute_error 0.2739 mean_absolute_error 0.271846 mean_absolute_error 0.276561 mean_absolute_error 0.283165 mean_absolute_error 0.268276 mean_absolute_error 0.303067 mean_absolute_error 0.303651 mean_absolute_error 0.299888 mean_absolute_error 0.29327 mean_absolute_error 0.309511 mean_absolute_error 0.303604 mean_absolute_error 0.289718 mean_absolute_error 0.304592 mean_absolute_error 0.301492 mean_absolute_error 0.302664 mean_absolute_error 0.298038 mean_absolute_error 0.294707 mean_absolute_error 0.283469 mean_absolute_error 0.274218 mean_absolute_error 0.280775 mean_absolute_error 0.286112 mean_absolute_error 0.297128 mean_absolute_error 0.295352 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.792033 [0.79902,0.785047] precision 0.787438 [0.79803,0.776744] precision 0.757135 [0.774359,0.73991] precision 0.771292 [0.787879,0.754545] precision 0.753641 [0.75,0.757282] precision 0.772734 [0.774038,0.771429] precision 0.768687 [0.782828,0.754545] precision 0.792227 [0.802956,0.781395] precision 0.77522 [0.769953,0.780488] precision 0.782821 [0.795,0.770642] precision 0.757057 [0.741071,0.773196] precision 0.792227 [0.802956,0.781395] precision 0.77512 [0.77619,0.774038] precision 0.801742 [0.792627,0.810945] precision 0.790374 [0.774775,0.806122] precision 0.77307 [0.783251,0.762791] precision 0.766106 [0.754545,0.777778] precision 0.769052 [0.786802,0.751131] precision 0.78237 [0.78744,0.777251] precision 0.769409 [0.789744,0.748879] precision 0.84689 [0.847619,0.846154] precision 0.789474 [0.790476,0.788462] precision 0.777561 [0.752174,0.803191] precision 0.767954 [0.770335,0.76555] precision 0.748975 [0.756098,0.741784] precision 0.729828 [0.736585,0.723005] precision 0.806297 [0.811594,0.800948] precision 0.763169 [0.76555,0.760766] precision 0.784813 [0.791262,0.778302] precision 0.765737 [0.759259,0.772277] precision 0.749686 [0.787709,0.711297] precision 0.763598 [0.753425,0.773869] precision 0.789075 [0.813472,0.764444] precision 0.744031 [0.746411,0.741627] precision 0.782483 [0.790244,0.774648] precision 0.768014 [0.772947,0.763033] precision 0.7536 [0.755981,0.751196] precision 0.763336 [0.770732,0.755869] precision 0.756894 [0.772727,0.740909] precision 0.789684 [0.782407,0.79703] precision 0.760839 [0.757009,0.764706] precision 0.77069 [0.761468,0.78] precision 0.799683 [0.786364,0.813131] precision 0.787093 [0.789474,0.784689] precision 0.760883 [0.76699,0.754717] precision 0.763336 [0.770732,0.755869] precision 0.78727 [0.795122,0.779343] precision 0.777554 [0.774648,0.780488] precision 0.799775 [0.815,0.784404] precision 0.801447 [0.803828,0.799043] precision 0.758702 [0.768473,0.748837] precision 0.775564 [0.787129,0.763889] precision 0.776823 [0.798969,0.754464] precision 0.779987 [0.775701,0.784314] precision 0.780597 [0.795,0.766055] precision 0.794385 [0.800971,0.787736] precision 0.765737 [0.759259,0.772277] precision 0.765737 [0.759259,0.772277] precision 0.756512 [0.745455,0.767677] precision 0.766507 [0.796791,0.735931] precision 0.7608 [0.764423,0.757143] precision 0.780007 [0.774648,0.785366] precision 0.814383 [0.797297,0.831633] precision 0.785107 [0.79602,0.774194] precision 0.804105 [0.813725,0.794393] precision 0.80903 [0.798165,0.82] precision 0.766822 [0.785714,0.747748] precision 0.801498 [0.805825,0.79717] precision 0.773281 [0.78607,0.760369] precision 0.770526 [0.763889,0.777228] precision 0.798593 [0.801932,0.795238] precision 0.760597 [0.771144,0.75] precision 0.800964 [0.8,0.801932] precision 0.755396 [0.755981,0.754808] precision 0.791523 [0.785047,0.79803] precision 0.778875 [0.802083,0.755556] precision 0.789958 [0.807107,0.772727] precision 0.799581 [0.817259,0.781818] precision 0.807764 [0.783186,0.832461] precision 0.811792 [0.831633,0.791855] precision 0.815262 [0.788546,0.842105] precision 0.811442 [0.828283,0.794521] precision 0.757928 [0.752336,0.763547] precision 0.782075 [0.773148,0.791045] precision 0.75559 [0.748837,0.762376] precision 0.784287 [0.790244,0.778302] precision 0.753129 [0.747664,0.758621] precision 0.736584 [0.746269,0.726852] precision 0.786623 [0.783019,0.790244] precision 0.756278 [0.771574,0.740909] precision 0.767395 [0.769231,0.76555] precision 0.744317 [0.72973,0.758974] precision 0.760494 [0.787234,0.733624] precision 0.777518 [0.79,0.764977] precision 0.801315 [0.811881,0.790698] precision 0.804339 [0.78733,0.821429] precision 0.801315 [0.811881,0.790698] precision 0.786763 [0.759825,0.81383] precision 0.758065 [0.75,0.766169] precision 0.770433 [0.78392,0.756881] predictive_accuracy 0.791866 predictive_accuracy 0.787081 predictive_accuracy 0.755981 predictive_accuracy 0.770335 predictive_accuracy 0.753589 predictive_accuracy 0.772727 predictive_accuracy 0.767943 predictive_accuracy 0.791866 predictive_accuracy 0.77512 predictive_accuracy 0.782297 predictive_accuracy 0.755981 predictive_accuracy 0.791866 predictive_accuracy 0.77512 predictive_accuracy 0.801435 predictive_accuracy 0.789474 predictive_accuracy 0.772727 predictive_accuracy 0.76555 predictive_accuracy 0.767943 predictive_accuracy 0.782297 predictive_accuracy 0.767943 predictive_accuracy 0.84689 predictive_accuracy 0.789474 predictive_accuracy 0.77512 predictive_accuracy 0.767943 predictive_accuracy 0.748804 predictive_accuracy 0.729665 predictive_accuracy 0.80622 predictive_accuracy 0.763158 predictive_accuracy 0.784689 predictive_accuracy 0.76555 predictive_accuracy 0.744019 predictive_accuracy 0.763158 predictive_accuracy 0.787081 predictive_accuracy 0.744019 predictive_accuracy 0.782297 predictive_accuracy 0.767943 predictive_accuracy 0.753589 predictive_accuracy 0.763158 predictive_accuracy 0.755981 predictive_accuracy 0.789474 predictive_accuracy 0.760766 predictive_accuracy 0.770335 predictive_accuracy 0.799043 predictive_accuracy 0.787081 predictive_accuracy 0.760766 predictive_accuracy 0.763158 predictive_accuracy 0.787081 predictive_accuracy 0.777512 predictive_accuracy 0.799043 predictive_accuracy 0.801435 predictive_accuracy 0.758373 predictive_accuracy 0.77512 predictive_accuracy 0.77512 predictive_accuracy 0.779904 predictive_accuracy 0.779904 predictive_accuracy 0.794258 predictive_accuracy 0.76555 predictive_accuracy 0.76555 predictive_accuracy 0.755981 predictive_accuracy 0.763158 predictive_accuracy 0.760766 predictive_accuracy 0.779904 predictive_accuracy 0.813397 predictive_accuracy 0.784689 predictive_accuracy 0.803828 predictive_accuracy 0.808612 predictive_accuracy 0.76555 predictive_accuracy 0.801435 predictive_accuracy 0.772727 predictive_accuracy 0.770335 predictive_accuracy 0.798561 predictive_accuracy 0.760192 predictive_accuracy 0.800959 predictive_accuracy 0.755396 predictive_accuracy 0.791367 predictive_accuracy 0.776978 predictive_accuracy 0.788969 predictive_accuracy 0.798561 predictive_accuracy 0.805755 predictive_accuracy 0.810552 predictive_accuracy 0.81295 predictive_accuracy 0.810552 predictive_accuracy 0.757794 predictive_accuracy 0.781775 predictive_accuracy 0.755396 predictive_accuracy 0.784173 predictive_accuracy 0.752998 predictive_accuracy 0.736211 predictive_accuracy 0.786571 predictive_accuracy 0.755396 predictive_accuracy 0.767386 predictive_accuracy 0.743405 predictive_accuracy 0.757794 predictive_accuracy 0.776978 predictive_accuracy 0.800959 predictive_accuracy 0.803357 predictive_accuracy 0.800959 predictive_accuracy 0.784173 predictive_accuracy 0.757794 predictive_accuracy 0.769784 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.791866 [0.779904,0.803828] recall 0.787081 [0.771429,0.802885] recall 0.755981 [0.722488,0.789474] recall 0.770335 [0.742857,0.798077] recall 0.753589 [0.760766,0.746411] recall 0.772727 [0.770335,0.77512] recall 0.767943 [0.741627,0.794258] recall 0.791866 [0.77619,0.807692] recall 0.77512 [0.784689,0.76555] recall 0.782297 [0.760766,0.803828] recall 0.755981 [0.790476,0.721154] recall 0.791866 [0.77619,0.807692] recall 0.77512 [0.77619,0.774038] recall 0.801435 [0.819048,0.783654] recall 0.789474 [0.819048,0.759615] recall 0.772727 [0.757143,0.788462] recall 0.76555 [0.790476,0.740385] recall 0.767943 [0.738095,0.798077] recall 0.782297 [0.77619,0.788462] recall 0.767943 [0.733333,0.802885] recall 0.84689 [0.847619,0.846154] recall 0.789474 [0.790476,0.788462] recall 0.77512 [0.82381,0.725962] recall 0.767943 [0.766667,0.769231] recall 0.748804 [0.738095,0.759615] recall 0.729665 [0.719048,0.740385] recall 0.80622 [0.8,0.8125] recall 0.763158 [0.761905,0.764423] recall 0.784689 [0.77619,0.793269] recall 0.76555 [0.780952,0.75] recall 0.744019 [0.671429,0.817308] recall 0.763158 [0.785714,0.740385] recall 0.787081 [0.747619,0.826923] recall 0.744019 [0.742857,0.745192] recall 0.782297 [0.771429,0.793269] recall 0.767943 [0.761905,0.774038] recall 0.753589 [0.752381,0.754808] recall 0.763158 [0.752381,0.774038] recall 0.755981 [0.728571,0.783654] recall 0.789474 [0.804762,0.774038] recall 0.760766 [0.771429,0.75] recall 0.770335 [0.790476,0.75] recall 0.799043 [0.82381,0.774038] recall 0.787081 [0.785714,0.788462] recall 0.760766 [0.752381,0.769231] recall 0.763158 [0.752381,0.774038] recall 0.787081 [0.77619,0.798077] recall 0.777512 [0.785714,0.769231] recall 0.799043 [0.77619,0.822115] recall 0.801435 [0.8,0.802885] recall 0.758373 [0.742857,0.774038] recall 0.77512 [0.757143,0.793269] recall 0.77512 [0.738095,0.8125] recall 0.779904 [0.790476,0.769231] recall 0.779904 [0.757143,0.802885] recall 0.794258 [0.785714,0.802885] recall 0.76555 [0.780952,0.75] recall 0.76555 [0.780952,0.75] recall 0.755981 [0.780952,0.730769] recall 0.763158 [0.709524,0.817308] recall 0.760766 [0.757143,0.764423] recall 0.779904 [0.789474,0.770335] recall 0.813397 [0.842857,0.783654] recall 0.784689 [0.76555,0.803828] recall 0.803828 [0.790476,0.817308] recall 0.808612 [0.828571,0.788462] recall 0.76555 [0.733333,0.798077] recall 0.801435 [0.794258,0.808612] recall 0.772727 [0.752381,0.793269] recall 0.770335 [0.785714,0.754808] recall 0.798561 [0.794258,0.802885] recall 0.760192 [0.741627,0.778846] recall 0.800959 [0.803828,0.798077] recall 0.755396 [0.755981,0.754808] recall 0.791367 [0.803828,0.778846] recall 0.776978 [0.736842,0.817308] recall 0.788969 [0.760766,0.817308] recall 0.798561 [0.770335,0.826923] recall 0.805755 [0.84689,0.764423] recall 0.810552 [0.779904,0.841346] recall 0.81295 [0.856459,0.769231] recall 0.810552 [0.784689,0.836538] recall 0.757794 [0.770335,0.745192] recall 0.781775 [0.799043,0.764423] recall 0.755396 [0.770335,0.740385] recall 0.784173 [0.77512,0.793269] recall 0.752998 [0.76555,0.740385] recall 0.736211 [0.717703,0.754808] recall 0.786571 [0.794258,0.778846] recall 0.755396 [0.727273,0.783654] recall 0.767386 [0.76555,0.769231] recall 0.743405 [0.77512,0.711538] recall 0.757794 [0.708134,0.807692] recall 0.776978 [0.755981,0.798077] recall 0.800959 [0.784689,0.817308] recall 0.803357 [0.832536,0.774038] recall 0.800959 [0.784689,0.817308] recall 0.784173 [0.832536,0.735577] recall 0.757794 [0.77512,0.740385] recall 0.769784 [0.746411,0.793269] relative_absolute_error 0.557734 relative_absolute_error 0.57165 relative_absolute_error 0.594252 relative_absolute_error 0.58953 relative_absolute_error 0.604468 relative_absolute_error 0.605616 relative_absolute_error 0.575932 relative_absolute_error 0.571459 relative_absolute_error 0.56677 relative_absolute_error 0.575032 relative_absolute_error 0.601073 relative_absolute_error 0.542957 relative_absolute_error 0.612554 relative_absolute_error 0.53318 relative_absolute_error 0.593494 relative_absolute_error 0.595766 relative_absolute_error 0.602437 relative_absolute_error 0.60594 relative_absolute_error 0.584352 relative_absolute_error 0.590265 relative_absolute_error 0.509955 relative_absolute_error 0.566337 relative_absolute_error 0.580894 relative_absolute_error 0.561212 relative_absolute_error 0.617586 relative_absolute_error 0.653644 relative_absolute_error 0.539754 relative_absolute_error 0.617769 relative_absolute_error 0.573078 relative_absolute_error 0.579129 relative_absolute_error 0.633279 relative_absolute_error 0.593253 relative_absolute_error 0.569781 relative_absolute_error 0.613233 relative_absolute_error 0.565891 relative_absolute_error 0.596508 relative_absolute_error 0.615006 relative_absolute_error 0.596754 relative_absolute_error 0.603358 relative_absolute_error 0.579954 relative_absolute_error 0.630052 relative_absolute_error 0.582283 relative_absolute_error 0.54543 relative_absolute_error 0.598813 relative_absolute_error 0.609402 relative_absolute_error 0.59349 relative_absolute_error 0.566823 relative_absolute_error 0.602217 relative_absolute_error 0.563111 relative_absolute_error 0.561464 relative_absolute_error 0.590498 relative_absolute_error 0.583334 relative_absolute_error 0.587713 relative_absolute_error 0.569654 relative_absolute_error 0.566603 relative_absolute_error 0.552681 relative_absolute_error 0.582006 relative_absolute_error 0.587318 relative_absolute_error 0.604112 relative_absolute_error 0.616085 relative_absolute_error 0.589891 relative_absolute_error 0.597155 relative_absolute_error 0.555151 relative_absolute_error 0.577405 relative_absolute_error 0.549333 relative_absolute_error 0.540294 relative_absolute_error 0.594443 relative_absolute_error 0.571156 relative_absolute_error 0.597765 relative_absolute_error 0.59477 relative_absolute_error 0.554574 relative_absolute_error 0.614678 relative_absolute_error 0.583342 relative_absolute_error 0.613788 relative_absolute_error 0.584635 relative_absolute_error 0.593475 relative_absolute_error 0.574548 relative_absolute_error 0.547805 relative_absolute_error 0.543697 relative_absolute_error 0.553128 relative_absolute_error 0.566334 relative_absolute_error 0.536557 relative_absolute_error 0.606139 relative_absolute_error 0.607308 relative_absolute_error 0.599781 relative_absolute_error 0.586545 relative_absolute_error 0.619027 relative_absolute_error 0.607213 relative_absolute_error 0.579441 relative_absolute_error 0.609189 relative_absolute_error 0.602989 relative_absolute_error 0.605334 relative_absolute_error 0.596082 relative_absolute_error 0.589419 relative_absolute_error 0.566944 relative_absolute_error 0.54844 relative_absolute_error 0.561556 relative_absolute_error 0.572228 relative_absolute_error 0.594261 relative_absolute_error 0.590709 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.374031 root_mean_squared_error 0.384939 root_mean_squared_error 0.397146 root_mean_squared_error 0.391589 root_mean_squared_error 0.394584 root_mean_squared_error 0.400215 root_mean_squared_error 0.388363 root_mean_squared_error 0.389183 root_mean_squared_error 0.381647 root_mean_squared_error 0.375817 root_mean_squared_error 0.400908 root_mean_squared_error 0.373272 root_mean_squared_error 0.400298 root_mean_squared_error 0.358727 root_mean_squared_error 0.391067 root_mean_squared_error 0.39083 root_mean_squared_error 0.396079 root_mean_squared_error 0.397082 root_mean_squared_error 0.386881 root_mean_squared_error 0.396151 root_mean_squared_error 0.344612 root_mean_squared_error 0.375309 root_mean_squared_error 0.378306 root_mean_squared_error 0.385598 root_mean_squared_error 0.409434 root_mean_squared_error 0.427724 root_mean_squared_error 0.366082 root_mean_squared_error 0.394724 root_mean_squared_error 0.395651 root_mean_squared_error 0.394199 root_mean_squared_error 0.414822 root_mean_squared_error 0.4011 root_mean_squared_error 0.375262 root_mean_squared_error 0.408623 root_mean_squared_error 0.376059 root_mean_squared_error 0.398413 root_mean_squared_error 0.418852 root_mean_squared_error 0.399778 root_mean_squared_error 0.406677 root_mean_squared_error 0.386628 root_mean_squared_error 0.413463 root_mean_squared_error 0.38905 root_mean_squared_error 0.375573 root_mean_squared_error 0.395854 root_mean_squared_error 0.406219 root_mean_squared_error 0.39678 root_mean_squared_error 0.37704 root_mean_squared_error 0.392259 root_mean_squared_error 0.373401 root_mean_squared_error 0.375965 root_mean_squared_error 0.395705 root_mean_squared_error 0.385476 root_mean_squared_error 0.393217 root_mean_squared_error 0.388991 root_mean_squared_error 0.380099 root_mean_squared_error 0.371852 root_mean_squared_error 0.390851 root_mean_squared_error 0.388647 root_mean_squared_error 0.40169 root_mean_squared_error 0.40326 root_mean_squared_error 0.393493 root_mean_squared_error 0.393548 root_mean_squared_error 0.371554 root_mean_squared_error 0.392728 root_mean_squared_error 0.371281 root_mean_squared_error 0.364529 root_mean_squared_error 0.386099 root_mean_squared_error 0.383341 root_mean_squared_error 0.391683 root_mean_squared_error 0.395163 root_mean_squared_error 0.37677 root_mean_squared_error 0.40282 root_mean_squared_error 0.380632 root_mean_squared_error 0.400719 root_mean_squared_error 0.382523 root_mean_squared_error 0.389392 root_mean_squared_error 0.379715 root_mean_squared_error 0.373386 root_mean_squared_error 0.363794 root_mean_squared_error 0.372085 root_mean_squared_error 0.374462 root_mean_squared_error 0.368306 root_mean_squared_error 0.39789 root_mean_squared_error 0.392047 root_mean_squared_error 0.403178 root_mean_squared_error 0.382979 root_mean_squared_error 0.407512 root_mean_squared_error 0.41064 root_mean_squared_error 0.390727 root_mean_squared_error 0.407989 root_mean_squared_error 0.396895 root_mean_squared_error 0.403903 root_mean_squared_error 0.401935 root_mean_squared_error 0.393467 root_mean_squared_error 0.375701 root_mean_squared_error 0.376625 root_mean_squared_error 0.376335 root_mean_squared_error 0.382311 root_mean_squared_error 0.399732 root_mean_squared_error 0.398997 root_relative_squared_error 0.748057 root_relative_squared_error 0.769886 root_relative_squared_error 0.794287 root_relative_squared_error 0.783186 root_relative_squared_error 0.789163 root_relative_squared_error 0.800425 root_relative_squared_error 0.776721 root_relative_squared_error 0.778373 root_relative_squared_error 0.76329 root_relative_squared_error 0.751629 root_relative_squared_error 0.801825 root_relative_squared_error 0.746551 root_relative_squared_error 0.800605 root_relative_squared_error 0.717461 root_relative_squared_error 0.782143 root_relative_squared_error 0.781669 root_relative_squared_error 0.792166 root_relative_squared_error 0.794172 root_relative_squared_error 0.773771 root_relative_squared_error 0.79231 root_relative_squared_error 0.689231 root_relative_squared_error 0.750626 root_relative_squared_error 0.756619 root_relative_squared_error 0.771204 root_relative_squared_error 0.818877 root_relative_squared_error 0.855457 root_relative_squared_error 0.732173 root_relative_squared_error 0.789457 root_relative_squared_error 0.79131 root_relative_squared_error 0.788406 root_relative_squared_error 0.829653 root_relative_squared_error 0.802209 root_relative_squared_error 0.750532 root_relative_squared_error 0.817256 root_relative_squared_error 0.752126 root_relative_squared_error 0.796835 root_relative_squared_error 0.837713 root_relative_squared_error 0.799564 root_relative_squared_error 0.813363 root_relative_squared_error 0.773264 root_relative_squared_error 0.826935 root_relative_squared_error 0.778109 root_relative_squared_error 0.751155 root_relative_squared_error 0.791717 root_relative_squared_error 0.812448 root_relative_squared_error 0.793569 root_relative_squared_error 0.754087 root_relative_squared_error 0.784526 root_relative_squared_error 0.746809 root_relative_squared_error 0.751938 root_relative_squared_error 0.791418 root_relative_squared_error 0.770961 root_relative_squared_error 0.786443 root_relative_squared_error 0.77799 root_relative_squared_error 0.760206 root_relative_squared_error 0.743713 root_relative_squared_error 0.78171 root_relative_squared_error 0.777303 root_relative_squared_error 0.803389 root_relative_squared_error 0.806529 root_relative_squared_error 0.786994 root_relative_squared_error 0.787091 root_relative_squared_error 0.743115 root_relative_squared_error 0.785451 root_relative_squared_error 0.742571 root_relative_squared_error 0.729066 root_relative_squared_error 0.772206 root_relative_squared_error 0.766678 root_relative_squared_error 0.783375 root_relative_squared_error 0.790334 root_relative_squared_error 0.753543 root_relative_squared_error 0.805642 root_relative_squared_error 0.761266 root_relative_squared_error 0.80144 root_relative_squared_error 0.765047 root_relative_squared_error 0.778786 root_relative_squared_error 0.759431 root_relative_squared_error 0.746773 root_relative_squared_error 0.72759 root_relative_squared_error 0.744171 root_relative_squared_error 0.748925 root_relative_squared_error 0.736614 root_relative_squared_error 0.795782 root_relative_squared_error 0.784095 root_relative_squared_error 0.806357 root_relative_squared_error 0.765959 root_relative_squared_error 0.815026 root_relative_squared_error 0.821283 root_relative_squared_error 0.781455 root_relative_squared_error 0.81598 root_relative_squared_error 0.793791 root_relative_squared_error 0.807807 root_relative_squared_error 0.803871 root_relative_squared_error 0.786936 root_relative_squared_error 0.751404 root_relative_squared_error 0.753252 root_relative_squared_error 0.752672 root_relative_squared_error 0.764624 root_relative_squared_error 0.799466 root_relative_squared_error 0.797995 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis 10 usercpu_time_millis 20 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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