322347 2 Joaquin Vanschoren 4562 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_3.7.12 994 vehicle https://www.openml.org/data/download/53528/vehicle.arff -1 1098374 description https://api.openml.org/data/download/1098374/weka_generated_run315074075719151976.xml -1 1098377 model_readable https://api.openml.org/data/download/1098377/WekaModel_weka.classifiers.bayes.BayesNet836789603454498334.model -1 1098376 model_serialized https://api.openml.org/data/download/1098376/WekaSerialized_weka.classifiers.bayes.BayesNet3650060859644662371.model -1 1098375 predictions https://api.openml.org/data/download/1098375/weka_generated_predictions5606422220985423822.arff area_under_roc_curve 0.942377 [0.942377,0.942377] average_cost 0 f_measure 0.868468 [0.74395,0.911692] kappa 0.655645 kb_relative_information_score 5220.065526 mean_absolute_error 0.132151 mean_prior_absolute_error 0.382842 number_of_instances 8460 [2180,6280] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.868272 [0.747568,0.910173] predictive_accuracy 0.868676 prior_entropy 0.824101 recall 0.868676 [0.740367,0.913217] relative_absolute_error 0.345183 root_mean_prior_squared_error 0.437359 root_mean_squared_error 0.33883 root_relative_squared_error 0.774719 scimark_benchmark 938.04138 [552.6744499688575, 1009.9344946043965, 480.4213690634573, 904.5686674515777, 1742.6079207559749] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 0.930014 [0.930014,0.930014] area_under_roc_curve 0.955267 [0.955267,0.955267] area_under_roc_curve 0.953824 [0.953824,0.953824] area_under_roc_curve 0.919913 [0.919913,0.919913] area_under_roc_curve 0.954545 [0.954545,0.954545] area_under_roc_curve 0.946609 [0.946609,0.946609] area_under_roc_curve 0.984127 [0.984127,0.984127] area_under_roc_curve 0.922078 [0.922078,0.922078] area_under_roc_curve 0.950938 [0.950938,0.950938] area_under_roc_curve 0.934343 [0.934343,0.934343] area_under_roc_curve 0.978355 [0.978355,0.978355] area_under_roc_curve 0.969697 [0.969697,0.969697] area_under_roc_curve 0.984127 [0.984127,0.984127] area_under_roc_curve 0.984848 [0.984848,0.984848] area_under_roc_curve 0.936508 [0.936508,0.936508] area_under_roc_curve 0.91342 [0.91342,0.91342] area_under_roc_curve 0.922799 [0.922799,0.922799] area_under_roc_curve 0.910534 [0.910534,0.910534] area_under_roc_curve 0.866883 [0.866883,0.866883] area_under_roc_curve 0.960678 [0.960678,0.960678] area_under_roc_curve 0.946609 [0.946609,0.946609] area_under_roc_curve 0.94228 [0.94228,0.94228] area_under_roc_curve 0.958153 [0.958153,0.958153] area_under_roc_curve 0.923882 [0.923882,0.923882] area_under_roc_curve 0.931457 [0.931457,0.931457] area_under_roc_curve 0.951659 [0.951659,0.951659] area_under_roc_curve 0.955267 [0.955267,0.955267] area_under_roc_curve 0.950216 [0.950216,0.950216] area_under_roc_curve 0.960317 [0.960317,0.960317] area_under_roc_curve 0.940115 [0.940115,0.940115] area_under_roc_curve 0.96176 [0.96176,0.96176] area_under_roc_curve 0.923521 [0.923521,0.923521] area_under_roc_curve 0.935786 [0.935786,0.935786] area_under_roc_curve 0.972583 [0.972583,0.972583] area_under_roc_curve 0.954906 [0.954906,0.954906] area_under_roc_curve 0.969697 [0.969697,0.969697] area_under_roc_curve 0.895382 [0.895382,0.895382] area_under_roc_curve 0.925685 [0.925685,0.925685] area_under_roc_curve 0.963203 [0.963203,0.963203] area_under_roc_curve 0.911977 [0.911977,0.911977] area_under_roc_curve 0.952381 [0.952381,0.952381] area_under_roc_curve 0.940476 [0.940476,0.940476] area_under_roc_curve 0.940115 [0.940115,0.940115] area_under_roc_curve 0.914863 [0.914863,0.914863] area_under_roc_curve 0.964646 [0.964646,0.964646] area_under_roc_curve 0.938672 [0.938672,0.938672] area_under_roc_curve 0.914863 [0.914863,0.914863] area_under_roc_curve 0.909091 [0.909091,0.909091] area_under_roc_curve 0.975469 [0.975469,0.975469] area_under_roc_curve 0.950577 [0.950577,0.950577] area_under_roc_curve 0.928571 [0.928571,0.928571] area_under_roc_curve 0.951659 [0.951659,0.951659] area_under_roc_curve 0.933983 [0.933983,0.933983] area_under_roc_curve 0.948773 [0.948773,0.948773] area_under_roc_curve 0.986291 [0.986291,0.986291] area_under_roc_curve 0.927128 [0.927128,0.927128] area_under_roc_curve 0.957431 [0.957431,0.957431] area_under_roc_curve 0.97114 [0.97114,0.97114] area_under_roc_curve 0.931097 [0.931097,0.931097] area_under_roc_curve 0.953102 [0.953102,0.953102] area_under_roc_curve 0.93613 [0.93613,0.93613] area_under_roc_curve 0.952381 [0.952381,0.952381] area_under_roc_curve 0.911657 [0.911657,0.911657] area_under_roc_curve 0.926682 [0.926682,0.926682] area_under_roc_curve 0.924487 [0.924487,0.924487] area_under_roc_curve 0.920635 [0.920635,0.920635] area_under_roc_curve 0.954649 [0.954649,0.954649] area_under_roc_curve 0.978836 [0.978836,0.978836] area_under_roc_curve 0.978836 [0.978836,0.978836] area_under_roc_curve 0.976568 [0.976568,0.976568] area_under_roc_curve 0.932729 [0.932729,0.932729] area_under_roc_curve 0.93424 [0.93424,0.93424] area_under_roc_curve 0.914223 [0.914223,0.914223] area_under_roc_curve 0.92328 [0.92328,0.92328] area_under_roc_curve 0.906158 [0.906158,0.906158] area_under_roc_curve 0.922902 [0.922902,0.922902] area_under_roc_curve 0.990174 [0.990174,0.990174] area_under_roc_curve 0.943689 [0.943689,0.943689] area_under_roc_curve 0.931973 [0.931973,0.931973] area_under_roc_curve 0.953893 [0.953893,0.953893] area_under_roc_curve 0.930352 [0.930352,0.930352] area_under_roc_curve 0.933284 [0.933284,0.933284] area_under_roc_curve 0.972789 [0.972789,0.972789] area_under_roc_curve 0.980205 [0.980205,0.980205] area_under_roc_curve 0.932729 [0.932729,0.932729] area_under_roc_curve 0.969575 [0.969575,0.969575] area_under_roc_curve 0.958211 [0.958211,0.958211] area_under_roc_curve 0.931085 [0.931085,0.931085] area_under_roc_curve 0.951613 [0.951613,0.951613] area_under_roc_curve 0.95088 [0.95088,0.95088] area_under_roc_curve 0.959677 [0.959677,0.959677] area_under_roc_curve 0.898827 [0.898827,0.898827] area_under_roc_curve 0.940287 [0.940287,0.940287] area_under_roc_curve 0.93915 [0.93915,0.93915] area_under_roc_curve 0.952381 [0.952381,0.952381] area_under_roc_curve 0.93915 [0.93915,0.93915] area_under_roc_curve 0.907258 [0.907258,0.907258] area_under_roc_curve 0.979472 [0.979472,0.979472] area_under_roc_curve 0.921921 [0.921921,0.921921] area_under_roc_curve 0.92412 [0.92412,0.92412] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.837546 [0.695652,0.887097] f_measure 0.869593 [0.744186,0.913386] f_measure 0.861752 [0.702703,0.917293] f_measure 0.848146 [0.711111,0.896] f_measure 0.928283 [0.857143,0.953125] f_measure 0.907169 [0.826087,0.935484] f_measure 0.902624 [0.8,0.938462] f_measure 0.871508 [0.755556,0.912] f_measure 0.858824 [0.727273,0.904762] f_measure 0.843242 [0.682927,0.899225] f_measure 0.917014 [0.837209,0.944882] f_measure 0.919271 [0.851064,0.943089] f_measure 0.917014 [0.837209,0.944882] f_measure 0.931196 [0.875,0.95082] f_measure 0.819863 [0.692308,0.864407] f_measure 0.839457 [0.708333,0.885246] f_measure 0.840174 [0.666667,0.900763] f_measure 0.801422 [0.622222,0.864] f_measure 0.856565 [0.714286,0.90625] f_measure 0.896206 [0.808511,0.926829] f_measure 0.860754 [0.73913,0.903226] f_measure 0.885326 [0.791667,0.918033] f_measure 0.907169 [0.826087,0.935484] f_measure 0.832659 [0.666667,0.890625] f_measure 0.853937 [0.7,0.907692] f_measure 0.860754 [0.73913,0.903226] f_measure 0.908261 [0.833333,0.934426] f_measure 0.869593 [0.744186,0.913386] f_measure 0.854162 [0.754717,0.888889] f_measure 0.853937 [0.7,0.907692] f_measure 0.883962 [0.782609,0.919355] f_measure 0.839457 [0.708333,0.885246] f_measure 0.883962 [0.782609,0.919355] f_measure 0.886888 [0.756757,0.932331] f_measure 0.907169 [0.826087,0.935484] f_measure 0.896206 [0.808511,0.926829] f_measure 0.774751 [0.55814,0.850394] f_measure 0.850075 [0.723404,0.894309] f_measure 0.902624 [0.8,0.938462] f_measure 0.803944 [0.638298,0.861789] f_measure 0.860754 [0.73913,0.903226] f_measure 0.882353 [0.772727,0.920635] f_measure 0.840174 [0.666667,0.900763] f_measure 0.811765 [0.636364,0.873016] f_measure 0.883962 [0.782609,0.919355] f_measure 0.872793 [0.722222,0.925373] f_measure 0.814339 [0.652174,0.870968] f_measure 0.858824 [0.727273,0.904762] f_measure 0.889351 [0.769231,0.931298] f_measure 0.871508 [0.755556,0.912] f_measure 0.848146 [0.711111,0.896] f_measure 0.882353 [0.772727,0.920635] f_measure 0.835294 [0.681818,0.888889] f_measure 0.918233 [0.844444,0.944] f_measure 0.953585 [0.913043,0.967742] f_measure 0.829593 [0.65,0.892308] f_measure 0.883962 [0.782609,0.919355] f_measure 0.902624 [0.8,0.938462] f_measure 0.882353 [0.772727,0.920635] f_measure 0.853937 [0.7,0.907692] f_measure 0.889982 [0.769231,0.930233] f_measure 0.867966 [0.731707,0.913386] f_measure 0.868049 [0.744186,0.912] f_measure 0.819954 [0.634146,0.88189] f_measure 0.814286 [0.666667,0.866667] f_measure 0.841085 [0.666667,0.899225] f_measure 0.884177 [0.782609,0.918033] f_measure 0.903125 [0.8,0.9375] f_measure 0.918428 [0.844444,0.943089] f_measure 0.917302 [0.837209,0.944] f_measure 0.893674 [0.790698,0.928] f_measure 0.816637 [0.615385,0.883721] f_measure 0.809524 [0.636364,0.870968] f_measure 0.84396 [0.682927,0.897638] f_measure 0.824022 [0.631579,0.892308] f_measure 0.835777 [0.681818,0.887097] f_measure 0.908333 [0.833333,0.933333] f_measure 0.878906 [0.75,0.921875] f_measure 0.870047 [0.744186,0.912] f_measure 0.854688 [0.7,0.90625] f_measure 0.863191 [0.717949,0.914729] f_measure 0.868049 [0.744186,0.912] f_measure 0.904762 [0.809524,0.936508] f_measure 0.917254 [0.844444,0.943089] f_measure 0.833333 [0.666667,0.888889] f_measure 0.927438 [0.857143,0.952381] f_measure 0.865803 [0.731707,0.913386] f_measure 0.841404 [0.682927,0.897638] f_measure 0.844058 [0.697674,0.896] f_measure 0.894948 [0.808511,0.92562] f_measure 0.86997 [0.755556,0.910569] f_measure 0.841404 [0.682927,0.897638] f_measure 0.880952 [0.761905,0.920635] f_measure 0.854875 [0.714286,0.904762] f_measure 0.889982 [0.769231,0.930233] f_measure 0.846329 [0.711111,0.894309] f_measure 0.819865 [0.611111,0.893939] f_measure 0.919893 [0.862745,0.940171] f_measure 0.841404 [0.682927,0.897638] f_measure 0.854875 [0.714286,0.904762] kappa 0.583041 kappa 0.657635 kappa 0.623742 kappa 0.607181 kappa 0.810409 kappa 0.761738 kappa 0.739264 kappa 0.667615 kappa 0.632035 kappa 0.582861 kappa 0.782131 kappa 0.794473 kappa 0.782131 kappa 0.826294 kappa 0.56129 kappa 0.594687 kappa 0.569536 kappa 0.486314 kappa 0.620818 kappa 0.735751 kappa 0.642607 kappa 0.71049 kappa 0.761738 kappa 0.557621 kappa 0.608896 kappa 0.642607 kappa 0.768392 kappa 0.657635 kappa 0.648201 kappa 0.608896 kappa 0.702172 kappa 0.594687 kappa 0.702172 kappa 0.692153 kappa 0.761738 kappa 0.735751 kappa 0.408642 kappa 0.618307 kappa 0.739264 kappa 0.500864 kappa 0.642607 kappa 0.693362 kappa 0.569536 kappa 0.50938 kappa 0.702172 kappa 0.652209 kappa 0.523476 kappa 0.632035 kappa 0.701987 kappa 0.667615 kappa 0.607181 kappa 0.693362 kappa 0.570707 kappa 0.788482 kappa 0.880869 kappa 0.543712 kappa 0.702172 kappa 0.739264 kappa 0.693362 kappa 0.608896 kappa 0.7 kappa 0.645161 kappa 0.65625 kappa 0.516129 kappa 0.534626 kappa 0.566667 kappa 0.701493 kappa 0.737705 kappa 0.787879 kappa 0.78125 kappa 0.71875 kappa 0.5 kappa 0.507331 kappa 0.580645 kappa 0.527331 kappa 0.569231 kappa 0.768116 kappa 0.672131 kappa 0.65625 kappa 0.606557 kappa 0.634494 kappa 0.65625 kappa 0.746032 kappa 0.787572 kappa 0.555556 kappa 0.809668 kappa 0.645706 kappa 0.581288 kappa 0.59375 kappa 0.734551 kappa 0.666185 kappa 0.581288 kappa 0.68254 kappa 0.619335 kappa 0.7 kappa 0.605491 kappa 0.511628 kappa 0.804521 kappa 0.581288 kappa 0.619335 kb_relative_information_score 43.606984 kb_relative_information_score 52.846326 kb_relative_information_score 53.28389 kb_relative_information_score 49.163638 kb_relative_information_score 64.845318 kb_relative_information_score 58.497572 kb_relative_information_score 63.537017 kb_relative_information_score 52.005995 kb_relative_information_score 51.142095 kb_relative_information_score 46.159176 kb_relative_information_score 64.292769 kb_relative_information_score 62.15943 kb_relative_information_score 67.343968 kb_relative_information_score 66.615324 kb_relative_information_score 39.690067 kb_relative_information_score 44.662361 kb_relative_information_score 50.976754 kb_relative_information_score 37.393552 kb_relative_information_score 49.484596 kb_relative_information_score 59.385603 kb_relative_information_score 50.238873 kb_relative_information_score 56.250772 kb_relative_information_score 55.721666 kb_relative_information_score 46.175925 kb_relative_information_score 49.522984 kb_relative_information_score 52.988395 kb_relative_information_score 61.210191 kb_relative_information_score 50.281511 kb_relative_information_score 46.457675 kb_relative_information_score 52.320865 kb_relative_information_score 56.315372 kb_relative_information_score 47.451568 kb_relative_information_score 52.224035 kb_relative_information_score 59.004396 kb_relative_information_score 60.451208 kb_relative_information_score 59.362356 kb_relative_information_score 30.805364 kb_relative_information_score 48.943298 kb_relative_information_score 60.057305 kb_relative_information_score 36.521996 kb_relative_information_score 52.517269 kb_relative_information_score 54.132277 kb_relative_information_score 47.082824 kb_relative_information_score 38.57972 kb_relative_information_score 57.313204 kb_relative_information_score 58.024502 kb_relative_information_score 40.071493 kb_relative_information_score 47.087995 kb_relative_information_score 61.452312 kb_relative_information_score 53.144986 kb_relative_information_score 47.165557 kb_relative_information_score 55.928511 kb_relative_information_score 45.405719 kb_relative_information_score 62.759551 kb_relative_information_score 69.743738 kb_relative_information_score 47.089469 kb_relative_information_score 55.449574 kb_relative_information_score 61.520627 kb_relative_information_score 55.615277 kb_relative_information_score 54.050719 kb_relative_information_score 52.953957 kb_relative_information_score 49.412308 kb_relative_information_score 49.697819 kb_relative_information_score 42.491267 kb_relative_information_score 37.674541 kb_relative_information_score 43.577063 kb_relative_information_score 52.326282 kb_relative_information_score 60.963555 kb_relative_information_score 62.121582 kb_relative_information_score 61.019143 kb_relative_information_score 51.623486 kb_relative_information_score 42.871895 kb_relative_information_score 41.317732 kb_relative_information_score 41.746994 kb_relative_information_score 42.36737 kb_relative_information_score 41.583148 kb_relative_information_score 59.316947 kb_relative_information_score 55.343131 kb_relative_information_score 47.757282 kb_relative_information_score 50.07074 kb_relative_information_score 52.055134 kb_relative_information_score 53.436794 kb_relative_information_score 60.371728 kb_relative_information_score 66.456364 kb_relative_information_score 44.085432 kb_relative_information_score 66.349804 kb_relative_information_score 54.639407 kb_relative_information_score 46.063412 kb_relative_information_score 46.615748 kb_relative_information_score 56.418225 kb_relative_information_score 57.392748 kb_relative_information_score 48.78988 kb_relative_information_score 51.856938 kb_relative_information_score 48.404649 kb_relative_information_score 58.303807 kb_relative_information_score 46.289369 kb_relative_information_score 44.375987 kb_relative_information_score 60.766445 kb_relative_information_score 46.184957 kb_relative_information_score 51.43894 mean_absolute_error 0.166926 mean_absolute_error 0.13119 mean_absolute_error 0.12986 mean_absolute_error 0.148858 mean_absolute_error 0.083714 mean_absolute_error 0.110681 mean_absolute_error 0.087574 mean_absolute_error 0.137847 mean_absolute_error 0.137302 mean_absolute_error 0.158243 mean_absolute_error 0.085868 mean_absolute_error 0.096276 mean_absolute_error 0.072048 mean_absolute_error 0.077492 mean_absolute_error 0.181831 mean_absolute_error 0.166337 mean_absolute_error 0.133978 mean_absolute_error 0.190766 mean_absolute_error 0.147308 mean_absolute_error 0.105435 mean_absolute_error 0.141476 mean_absolute_error 0.119669 mean_absolute_error 0.119459 mean_absolute_error 0.157274 mean_absolute_error 0.14569 mean_absolute_error 0.130254 mean_absolute_error 0.099949 mean_absolute_error 0.139251 mean_absolute_error 0.155727 mean_absolute_error 0.132002 mean_absolute_error 0.116192 mean_absolute_error 0.152843 mean_absolute_error 0.133051 mean_absolute_error 0.103965 mean_absolute_error 0.102859 mean_absolute_error 0.105622 mean_absolute_error 0.215695 mean_absolute_error 0.14796 mean_absolute_error 0.104302 mean_absolute_error 0.194742 mean_absolute_error 0.133103 mean_absolute_error 0.1284 mean_absolute_error 0.152581 mean_absolute_error 0.188962 mean_absolute_error 0.113529 mean_absolute_error 0.110011 mean_absolute_error 0.18167 mean_absolute_error 0.156471 mean_absolute_error 0.097671 mean_absolute_error 0.130185 mean_absolute_error 0.15477 mean_absolute_error 0.119034 mean_absolute_error 0.160697 mean_absolute_error 0.093989 mean_absolute_error 0.064792 mean_absolute_error 0.153287 mean_absolute_error 0.119366 mean_absolute_error 0.096641 mean_absolute_error 0.120699 mean_absolute_error 0.126713 mean_absolute_error 0.126367 mean_absolute_error 0.136414 mean_absolute_error 0.142285 mean_absolute_error 0.161944 mean_absolute_error 0.188138 mean_absolute_error 0.162782 mean_absolute_error 0.124166 mean_absolute_error 0.090447 mean_absolute_error 0.085285 mean_absolute_error 0.089433 mean_absolute_error 0.1305 mean_absolute_error 0.161611 mean_absolute_error 0.178066 mean_absolute_error 0.168849 mean_absolute_error 0.171351 mean_absolute_error 0.168159 mean_absolute_error 0.094132 mean_absolute_error 0.112631 mean_absolute_error 0.144974 mean_absolute_error 0.133136 mean_absolute_error 0.134434 mean_absolute_error 0.130318 mean_absolute_error 0.094822 mean_absolute_error 0.073251 mean_absolute_error 0.159453 mean_absolute_error 0.079411 mean_absolute_error 0.125834 mean_absolute_error 0.156358 mean_absolute_error 0.151019 mean_absolute_error 0.116735 mean_absolute_error 0.113406 mean_absolute_error 0.143376 mean_absolute_error 0.128892 mean_absolute_error 0.151361 mean_absolute_error 0.103909 mean_absolute_error 0.151683 mean_absolute_error 0.165849 mean_absolute_error 0.099311 mean_absolute_error 0.158656 mean_absolute_error 0.136926 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 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number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] precision 0.840823 [0.666667,0.901639] precision 0.86889 [0.761905,0.90625] precision 0.870196 [0.866667,0.871429] precision 0.849501 [0.695652,0.903226] precision 0.928507 [0.9,0.938462] precision 0.909627 [0.791667,0.95082] precision 0.904868 [0.888889,0.910448] precision 0.872709 [0.73913,0.919355] precision 0.858824 [0.727273,0.904762] precision 0.842049 [0.736842,0.878788] precision 0.916702 [0.857143,0.9375] precision 0.923529 [0.8,0.966667] precision 0.916702 [0.857143,0.9375] precision 0.937664 [0.807692,0.983051] precision 0.842567 [0.6,0.927273] precision 0.847596 [0.653846,0.915254] precision 0.841003 [0.764706,0.867647] precision 0.803086 [0.608696,0.870968] precision 0.855475 [0.75,0.892308] precision 0.900824 [0.76,0.95] precision 0.863758 [0.708333,0.918033] precision 0.89263 [0.730769,0.949153] precision 0.909627 [0.791667,0.95082] precision 0.831131 [0.7,0.876923] precision 0.853985 [0.777778,0.880597] precision 0.863758 [0.708333,0.918033] precision 0.915147 [0.769231,0.966102] precision 0.86889 [0.761905,0.90625] precision 0.880708 [0.645161,0.962963] precision 0.853985 [0.777778,0.880597] precision 0.886692 [0.75,0.934426] precision 0.847596 [0.653846,0.915254] precision 0.886692 [0.75,0.934426] precision 0.898039 [0.933333,0.885714] precision 0.909627 [0.791667,0.95082] precision 0.900824 [0.76,0.95] precision 0.773267 [0.571429,0.84375] precision 0.855412 [0.68,0.916667] precision 0.904868 [0.888889,0.910448] precision 0.81 [0.6,0.883333] precision 0.863758 [0.708333,0.918033] precision 0.882353 [0.772727,0.920635] precision 0.841003 [0.764706,0.867647] precision 0.811765 [0.636364,0.873016] precision 0.886692 [0.75,0.934426] precision 0.887561 [0.928571,0.873239] precision 0.817888 [0.625,0.885246] precision 0.858824 [0.727273,0.904762] precision 0.893253 [0.882353,0.897059] precision 0.872709 [0.73913,0.919355] precision 0.849501 [0.695652,0.903226] precision 0.882353 [0.772727,0.920635] precision 0.835294 [0.681818,0.888889] precision 0.919124 [0.826087,0.951613] precision 0.955497 [0.875,0.983607] precision 0.828544 [0.722222,0.865672] precision 0.886692 [0.75,0.934426] precision 0.904868 [0.888889,0.910448] precision 0.882353 [0.772727,0.920635] precision 0.853985 [0.777778,0.880597] precision 0.890152 [0.833333,0.909091] precision 0.867188 [0.75,0.90625] precision 0.867347 [0.761905,0.904762] precision 0.81875 [0.65,0.875] precision 0.822913 [0.615385,0.896552] precision 0.839646 [0.722222,0.878788] precision 0.891864 [0.72,0.949153] precision 0.902834 [0.842105,0.923077] precision 0.922917 [0.791667,0.966667] precision 0.918255 [0.818182,0.951613] precision 0.894795 [0.772727,0.935484] precision 0.814394 [0.666667,0.863636] precision 0.809524 [0.636364,0.870968] precision 0.842969 [0.7,0.890625] precision 0.82598 [0.75,0.852941] precision 0.839273 [0.652174,0.901639] precision 0.922027 [0.740741,0.982456] precision 0.878138 [0.789474,0.907692] precision 0.871334 [0.727273,0.919355] precision 0.853441 [0.736842,0.892308] precision 0.865651 [0.823529,0.880597] precision 0.867347 [0.761905,0.904762] precision 0.904762 [0.809524,0.936508] precision 0.918152 [0.826087,0.95082] precision 0.833333 [0.666667,0.888889] precision 0.927679 [0.9,0.9375] precision 0.865375 [0.789474,0.892308] precision 0.840235 [0.736842,0.876923] precision 0.843159 [0.714286,0.888889] precision 0.899613 [0.76,0.949153] precision 0.871177 [0.73913,0.918033] precision 0.840235 [0.736842,0.876923] precision 0.880952 [0.761905,0.920635] precision 0.853795 [0.75,0.890625] precision 0.890152 [0.833333,0.909091] precision 0.84769 [0.695652,0.901639] precision 0.827891 [0.785714,0.842857] precision 0.936782 [0.758621,1] precision 0.840235 [0.736842,0.876923] precision 0.853795 [0.75,0.890625] predictive_accuracy 0.835294 predictive_accuracy 0.870588 predictive_accuracy 0.870588 predictive_accuracy 0.847059 predictive_accuracy 0.929412 predictive_accuracy 0.905882 predictive_accuracy 0.905882 predictive_accuracy 0.870588 predictive_accuracy 0.858824 predictive_accuracy 0.847059 predictive_accuracy 0.917647 predictive_accuracy 0.917647 predictive_accuracy 0.917647 predictive_accuracy 0.929412 predictive_accuracy 0.811765 predictive_accuracy 0.835294 predictive_accuracy 0.847059 predictive_accuracy 0.8 predictive_accuracy 0.858824 predictive_accuracy 0.894118 predictive_accuracy 0.858824 predictive_accuracy 0.882353 predictive_accuracy 0.905882 predictive_accuracy 0.835294 predictive_accuracy 0.858824 predictive_accuracy 0.858824 predictive_accuracy 0.905882 predictive_accuracy 0.870588 predictive_accuracy 0.847059 predictive_accuracy 0.858824 predictive_accuracy 0.882353 predictive_accuracy 0.835294 predictive_accuracy 0.882353 predictive_accuracy 0.894118 predictive_accuracy 0.905882 predictive_accuracy 0.894118 predictive_accuracy 0.776471 predictive_accuracy 0.847059 predictive_accuracy 0.905882 predictive_accuracy 0.8 predictive_accuracy 0.858824 predictive_accuracy 0.882353 predictive_accuracy 0.847059 predictive_accuracy 0.811765 predictive_accuracy 0.882353 predictive_accuracy 0.882353 predictive_accuracy 0.811765 predictive_accuracy 0.858824 predictive_accuracy 0.894118 predictive_accuracy 0.870588 predictive_accuracy 0.847059 predictive_accuracy 0.882353 predictive_accuracy 0.835294 predictive_accuracy 0.917647 predictive_accuracy 0.952941 predictive_accuracy 0.835294 predictive_accuracy 0.882353 predictive_accuracy 0.905882 predictive_accuracy 0.882353 predictive_accuracy 0.858824 predictive_accuracy 0.892857 predictive_accuracy 0.869048 predictive_accuracy 0.869048 predictive_accuracy 0.821429 predictive_accuracy 0.809524 predictive_accuracy 0.845238 predictive_accuracy 0.880952 predictive_accuracy 0.904762 predictive_accuracy 0.916667 predictive_accuracy 0.916667 predictive_accuracy 0.892857 predictive_accuracy 0.821429 predictive_accuracy 0.809524 predictive_accuracy 0.845238 predictive_accuracy 0.833333 predictive_accuracy 0.833333 predictive_accuracy 0.904762 predictive_accuracy 0.880952 predictive_accuracy 0.869048 predictive_accuracy 0.857143 predictive_accuracy 0.869048 predictive_accuracy 0.869048 predictive_accuracy 0.904762 predictive_accuracy 0.916667 predictive_accuracy 0.833333 predictive_accuracy 0.928571 predictive_accuracy 0.869048 predictive_accuracy 0.845238 predictive_accuracy 0.845238 predictive_accuracy 0.892857 predictive_accuracy 0.869048 predictive_accuracy 0.845238 predictive_accuracy 0.880952 predictive_accuracy 0.857143 predictive_accuracy 0.892857 predictive_accuracy 0.845238 predictive_accuracy 0.833333 predictive_accuracy 0.916667 predictive_accuracy 0.845238 predictive_accuracy 0.857143 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 recall 0.835294 [0.727273,0.873016] recall 0.870588 [0.727273,0.920635] recall 0.870588 [0.590909,0.968254] recall 0.847059 [0.727273,0.888889] recall 0.929412 [0.818182,0.968254] recall 0.905882 [0.863636,0.920635] recall 0.905882 [0.727273,0.968254] recall 0.870588 [0.772727,0.904762] recall 0.858824 [0.727273,0.904762] recall 0.847059 [0.636364,0.920635] recall 0.917647 [0.818182,0.952381] recall 0.917647 [0.909091,0.920635] recall 0.917647 [0.818182,0.952381] recall 0.929412 [0.954545,0.920635] recall 0.811765 [0.818182,0.809524] recall 0.835294 [0.772727,0.857143] recall 0.847059 [0.590909,0.936508] recall 0.8 [0.636364,0.857143] recall 0.858824 [0.681818,0.920635] recall 0.894118 [0.863636,0.904762] recall 0.858824 [0.772727,0.888889] recall 0.882353 [0.863636,0.888889] recall 0.905882 [0.863636,0.920635] recall 0.835294 [0.636364,0.904762] recall 0.858824 [0.636364,0.936508] recall 0.858824 [0.772727,0.888889] recall 0.905882 [0.909091,0.904762] recall 0.870588 [0.727273,0.920635] recall 0.847059 [0.909091,0.825397] recall 0.858824 [0.636364,0.936508] recall 0.882353 [0.818182,0.904762] recall 0.835294 [0.772727,0.857143] recall 0.882353 [0.818182,0.904762] recall 0.894118 [0.636364,0.984127] recall 0.905882 [0.863636,0.920635] recall 0.894118 [0.863636,0.904762] recall 0.776471 [0.545455,0.857143] recall 0.847059 [0.772727,0.873016] recall 0.905882 [0.727273,0.968254] recall 0.8 [0.681818,0.84127] recall 0.858824 [0.772727,0.888889] recall 0.882353 [0.772727,0.920635] recall 0.847059 [0.590909,0.936508] recall 0.811765 [0.636364,0.873016] recall 0.882353 [0.818182,0.904762] recall 0.882353 [0.590909,0.984127] recall 0.811765 [0.681818,0.857143] recall 0.858824 [0.727273,0.904762] recall 0.894118 [0.681818,0.968254] recall 0.870588 [0.772727,0.904762] recall 0.847059 [0.727273,0.888889] recall 0.882353 [0.772727,0.920635] recall 0.835294 [0.681818,0.888889] recall 0.917647 [0.863636,0.936508] recall 0.952941 [0.954545,0.952381] recall 0.835294 [0.590909,0.920635] recall 0.882353 [0.818182,0.904762] recall 0.905882 [0.727273,0.968254] recall 0.882353 [0.772727,0.920635] recall 0.858824 [0.636364,0.936508] recall 0.892857 [0.714286,0.952381] recall 0.869048 [0.714286,0.920635] recall 0.869048 [0.727273,0.919355] recall 0.821429 [0.619048,0.888889] recall 0.809524 [0.727273,0.83871] recall 0.845238 [0.619048,0.920635] recall 0.880952 [0.857143,0.888889] recall 0.904762 [0.761905,0.952381] recall 0.916667 [0.904762,0.920635] recall 0.916667 [0.857143,0.936508] recall 0.892857 [0.809524,0.920635] recall 0.821429 [0.571429,0.904762] recall 0.809524 [0.636364,0.870968] recall 0.845238 [0.666667,0.904762] recall 0.833333 [0.545455,0.935484] recall 0.833333 [0.714286,0.873016] recall 0.904762 [0.952381,0.888889] recall 0.880952 [0.714286,0.936508] recall 0.869048 [0.761905,0.904762] recall 0.857143 [0.666667,0.920635] recall 0.869048 [0.636364,0.951613] recall 0.869048 [0.727273,0.919355] recall 0.904762 [0.809524,0.936508] recall 0.916667 [0.863636,0.935484] recall 0.833333 [0.666667,0.888889] recall 0.928571 [0.818182,0.967742] recall 0.869048 [0.681818,0.935484] recall 0.845238 [0.636364,0.919355] recall 0.845238 [0.681818,0.903226] recall 0.892857 [0.863636,0.903226] recall 0.869048 [0.772727,0.903226] recall 0.845238 [0.636364,0.919355] recall 0.880952 [0.761905,0.920635] recall 0.857143 [0.681818,0.919355] recall 0.892857 [0.714286,0.952381] recall 0.845238 [0.727273,0.887097] recall 0.833333 [0.5,0.951613] recall 0.916667 [1,0.887097] recall 0.845238 [0.636364,0.919355] recall 0.857143 [0.681818,0.919355] relative_absolute_error 0.435392 relative_absolute_error 0.342182 relative_absolute_error 0.338713 relative_absolute_error 0.388264 relative_absolute_error 0.218349 relative_absolute_error 0.288689 relative_absolute_error 0.228418 relative_absolute_error 0.359544 relative_absolute_error 0.358123 relative_absolute_error 0.412744 relative_absolute_error 0.223969 relative_absolute_error 0.251116 relative_absolute_error 0.187921 relative_absolute_error 0.202122 relative_absolute_error 0.474267 relative_absolute_error 0.433853 relative_absolute_error 0.349453 relative_absolute_error 0.497573 relative_absolute_error 0.384221 relative_absolute_error 0.275004 relative_absolute_error 0.36901 relative_absolute_error 0.312131 relative_absolute_error 0.311583 relative_absolute_error 0.410214 relative_absolute_error 0.38 relative_absolute_error 0.339741 relative_absolute_error 0.260696 relative_absolute_error 0.363206 relative_absolute_error 0.406181 relative_absolute_error 0.3443 relative_absolute_error 0.303063 relative_absolute_error 0.398658 relative_absolute_error 0.347034 relative_absolute_error 0.27117 relative_absolute_error 0.268286 relative_absolute_error 0.275492 relative_absolute_error 0.562593 relative_absolute_error 0.385922 relative_absolute_error 0.272048 relative_absolute_error 0.507944 relative_absolute_error 0.34717 relative_absolute_error 0.334904 relative_absolute_error 0.397974 relative_absolute_error 0.492866 relative_absolute_error 0.296117 relative_absolute_error 0.28694 relative_absolute_error 0.473848 relative_absolute_error 0.40812 relative_absolute_error 0.254753 relative_absolute_error 0.33956 relative_absolute_error 0.403685 relative_absolute_error 0.310474 relative_absolute_error 0.419143 relative_absolute_error 0.245151 relative_absolute_error 0.168997 relative_absolute_error 0.399818 relative_absolute_error 0.31134 relative_absolute_error 0.252068 relative_absolute_error 0.314818 relative_absolute_error 0.330504 relative_absolute_error 0.33331 relative_absolute_error 0.359811 relative_absolute_error 0.369683 relative_absolute_error 0.427148 relative_absolute_error 0.488817 relative_absolute_error 0.429359 relative_absolute_error 0.327504 relative_absolute_error 0.238567 relative_absolute_error 0.22495 relative_absolute_error 0.235891 relative_absolute_error 0.344212 relative_absolute_error 0.426272 relative_absolute_error 0.46265 relative_absolute_error 0.445361 relative_absolute_error 0.445204 relative_absolute_error 0.443542 relative_absolute_error 0.248285 relative_absolute_error 0.297079 relative_absolute_error 0.382388 relative_absolute_error 0.351165 relative_absolute_error 0.349286 relative_absolute_error 0.338592 relative_absolute_error 0.250106 relative_absolute_error 0.190319 relative_absolute_error 0.42058 relative_absolute_error 0.206326 relative_absolute_error 0.326941 relative_absolute_error 0.406248 relative_absolute_error 0.392376 relative_absolute_error 0.3033 relative_absolute_error 0.294651 relative_absolute_error 0.372518 relative_absolute_error 0.339969 relative_absolute_error 0.393266 relative_absolute_error 0.274074 relative_absolute_error 0.394102 relative_absolute_error 0.430908 relative_absolute_error 0.25803 relative_absolute_error 0.41222 relative_absolute_error 0.355759 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_squared_error 0.374919 root_mean_squared_error 0.34065 root_mean_squared_error 0.337528 root_mean_squared_error 0.36524 root_mean_squared_error 0.266495 root_mean_squared_error 0.306207 root_mean_squared_error 0.277999 root_mean_squared_error 0.341418 root_mean_squared_error 0.345698 root_mean_squared_error 0.380373 root_mean_squared_error 0.27199 root_mean_squared_error 0.285167 root_mean_squared_error 0.252923 root_mean_squared_error 0.257704 root_mean_squared_error 0.402481 root_mean_squared_error 0.387322 root_mean_squared_error 0.342464 root_mean_squared_error 0.402304 root_mean_squared_error 0.359188 root_mean_squared_error 0.299426 root_mean_squared_error 0.353597 root_mean_squared_error 0.3261 root_mean_squared_error 0.308544 root_mean_squared_error 0.373119 root_mean_squared_error 0.364602 root_mean_squared_error 0.333416 root_mean_squared_error 0.291784 root_mean_squared_error 0.354908 root_mean_squared_error 0.365904 root_mean_squared_error 0.332283 root_mean_squared_error 0.321062 root_mean_squared_error 0.366778 root_mean_squared_error 0.341437 root_mean_squared_error 0.299961 root_mean_squared_error 0.301712 root_mean_squared_error 0.303342 root_mean_squared_error 0.440003 root_mean_squared_error 0.365588 root_mean_squared_error 0.290713 root_mean_squared_error 0.421629 root_mean_squared_error 0.343694 root_mean_squared_error 0.340532 root_mean_squared_error 0.370262 root_mean_squared_error 0.412761 root_mean_squared_error 0.29951 root_mean_squared_error 0.318755 root_mean_squared_error 0.408944 root_mean_squared_error 0.376452 root_mean_squared_error 0.28556 root_mean_squared_error 0.341845 root_mean_squared_error 0.362592 root_mean_squared_error 0.316047 root_mean_squared_error 0.382619 root_mean_squared_error 0.28223 root_mean_squared_error 0.202948 root_mean_squared_error 0.36679 root_mean_squared_error 0.323355 root_mean_squared_error 0.28202 root_mean_squared_error 0.328147 root_mean_squared_error 0.325044 root_mean_squared_error 0.321363 root_mean_squared_error 0.337869 root_mean_squared_error 0.350951 root_mean_squared_error 0.376537 root_mean_squared_error 0.409357 root_mean_squared_error 0.377649 root_mean_squared_error 0.328741 root_mean_squared_error 0.281948 root_mean_squared_error 0.27878 root_mean_squared_error 0.259936 root_mean_squared_error 0.335934 root_mean_squared_error 0.375375 root_mean_squared_error 0.399329 root_mean_squared_error 0.378607 root_mean_squared_error 0.396124 root_mean_squared_error 0.391214 root_mean_squared_error 0.270902 root_mean_squared_error 0.320189 root_mean_squared_error 0.340877 root_mean_squared_error 0.335501 root_mean_squared_error 0.352382 root_mean_squared_error 0.334044 root_mean_squared_error 0.276376 root_mean_squared_error 0.239904 root_mean_squared_error 0.374505 root_mean_squared_error 0.25266 root_mean_squared_error 0.32847 root_mean_squared_error 0.365509 root_mean_squared_error 0.363479 root_mean_squared_error 0.320647 root_mean_squared_error 0.300086 root_mean_squared_error 0.349352 root_mean_squared_error 0.342998 root_mean_squared_error 0.368936 root_mean_squared_error 0.282342 root_mean_squared_error 0.354256 root_mean_squared_error 0.383785 root_mean_squared_error 0.271943 root_mean_squared_error 0.383663 root_mean_squared_error 0.34549 root_relative_squared_error 0.856 root_relative_squared_error 0.777761 root_relative_squared_error 0.770632 root_relative_squared_error 0.833902 root_relative_squared_error 0.608452 root_relative_squared_error 0.699121 root_relative_squared_error 0.634717 root_relative_squared_error 0.779512 root_relative_squared_error 0.789285 root_relative_squared_error 0.868454 root_relative_squared_error 0.620999 root_relative_squared_error 0.651082 root_relative_squared_error 0.577465 root_relative_squared_error 0.58838 root_relative_squared_error 0.91893 root_relative_squared_error 0.884319 root_relative_squared_error 0.781901 root_relative_squared_error 0.918527 root_relative_squared_error 0.820086 root_relative_squared_error 0.683639 root_relative_squared_error 0.80732 root_relative_squared_error 0.744541 root_relative_squared_error 0.704456 root_relative_squared_error 0.851891 root_relative_squared_error 0.832446 root_relative_squared_error 0.761244 root_relative_squared_error 0.66619 root_relative_squared_error 0.810313 root_relative_squared_error 0.835418 root_relative_squared_error 0.758656 root_relative_squared_error 0.733036 root_relative_squared_error 0.837414 root_relative_squared_error 0.779556 root_relative_squared_error 0.68486 root_relative_squared_error 0.688858 root_relative_squared_error 0.692578 root_relative_squared_error 1.004599 root_relative_squared_error 0.834697 root_relative_squared_error 0.663744 root_relative_squared_error 0.962647 root_relative_squared_error 0.78471 root_relative_squared_error 0.77749 root_relative_squared_error 0.845368 root_relative_squared_error 0.9424 root_relative_squared_error 0.683831 root_relative_squared_error 0.72777 root_relative_squared_error 0.933685 root_relative_squared_error 0.859502 root_relative_squared_error 0.651979 root_relative_squared_error 0.780487 root_relative_squared_error 0.827857 root_relative_squared_error 0.721586 root_relative_squared_error 0.873581 root_relative_squared_error 0.644376 root_relative_squared_error 0.463364 root_relative_squared_error 0.837441 root_relative_squared_error 0.738272 root_relative_squared_error 0.643898 root_relative_squared_error 0.749212 root_relative_squared_error 0.742128 root_relative_squared_error 0.742021 root_relative_squared_error 0.780133 root_relative_squared_error 0.798184 root_relative_squared_error 0.869417 root_relative_squared_error 0.93102 root_relative_squared_error 0.871984 root_relative_squared_error 0.759057 root_relative_squared_error 0.651014 root_relative_squared_error 0.643699 root_relative_squared_error 0.600187 root_relative_squared_error 0.775665 root_relative_squared_error 0.866735 root_relative_squared_error 0.908214 root_relative_squared_error 0.874196 root_relative_squared_error 0.900924 root_relative_squared_error 0.903306 root_relative_squared_error 0.625507 root_relative_squared_error 0.739312 root_relative_squared_error 0.787078 root_relative_squared_error 0.774666 root_relative_squared_error 0.80144 root_relative_squared_error 0.759733 root_relative_squared_error 0.638148 root_relative_squared_error 0.545626 root_relative_squared_error 0.864726 root_relative_squared_error 0.574638 root_relative_squared_error 0.747055 root_relative_squared_error 0.831295 root_relative_squared_error 0.826679 root_relative_squared_error 0.729262 root_relative_squared_error 0.6825 root_relative_squared_error 0.794548 root_relative_squared_error 0.791977 root_relative_squared_error 0.839089 root_relative_squared_error 0.651923 root_relative_squared_error 0.805702 root_relative_squared_error 0.872861 root_relative_squared_error 0.618493 root_relative_squared_error 0.872584 root_relative_squared_error 0.785764 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 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