365950 2 Joaquin Vanschoren 4411 Supervised Classification predictive_accuracy 1079 weka.RandomForest(5) 1849 weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1 I 100 1079 K 0 1079 S 1 1079 num-slots 1 1079 weka weka_3.7.12 841 stock https://www.openml.org/data/download/53375/stock.arff -1 1267857 description https://api.openml.org/data/download/1267857/weka_generated_run5241516664152573892.xml -1 1267860 model_readable https://api.openml.org/data/download/1267860/WekaModel_weka.classifiers.trees.RandomForest2505134424562044875.model -1 1267859 model_serialized https://api.openml.org/data/download/1267859/WekaSerialized_weka.classifiers.trees.RandomForest3878504965910302076.model -1 1267858 predictions https://api.openml.org/data/download/1267858/weka_generated_predictions3573102673193287422.arff area_under_roc_curve 0.996648 [0.996648,0.996648] average_cost 0 f_measure 0.967581 [0.968378,0.966739] kappa 0.935117 kb_relative_information_score 8506.890181 mean_absolute_error 0.057343 mean_prior_absolute_error 0.499626 number_of_instances 9500 [4880,4620] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.967591 [0.97037,0.964655] predictive_accuracy 0.967579 prior_entropy 0.999462 recall 0.967579 [0.966393,0.968831] relative_absolute_error 0.114772 root_mean_prior_squared_error 0.499813 root_mean_squared_error 0.153154 root_relative_squared_error 0.306422 scimark_benchmark 1331.255863 [800.477525720216, 967.1041700008193, 536.3346162568728, 1113.1379952308184, 3239.2250102693683] total_cost 0 usercpu_time_millis 190 usercpu_time_millis_testing 10 usercpu_time_millis_training 180 area_under_roc_curve 1 [1,1] area_under_roc_curve 0.997119 [0.997119,0.997119] area_under_roc_curve 0.999113 [0.999113,0.999113] area_under_roc_curve 0.99512 [0.99512,0.99512] area_under_roc_curve 0.994454 [0.994454,0.994454] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.998004 [0.998004,0.998004] area_under_roc_curve 0.999557 [0.999557,0.999557] area_under_roc_curve 0.99512 [0.99512,0.99512] area_under_roc_curve 0.997784 [0.997784,0.997784] area_under_roc_curve 0.993129 [0.993129,0.993129] area_under_roc_curve 0.991356 [0.991356,0.991356] area_under_roc_curve 0.99512 [0.99512,0.99512] area_under_roc_curve 0.999778 [0.999778,0.999778] area_under_roc_curve 0.999113 [0.999113,0.999113] area_under_roc_curve 0.998227 [0.998227,0.998227] area_under_roc_curve 0.994676 [0.994676,0.994676] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.998225 [0.998225,0.998225] area_under_roc_curve 0.996454 [0.996454,0.996454] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.994454 [0.994454,0.994454] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.996451 [0.996451,0.996451] area_under_roc_curve 0.999556 [0.999556,0.999556] area_under_roc_curve 0.996894 [0.996894,0.996894] area_under_roc_curve 0.996007 [0.996007,0.996007] area_under_roc_curve 0.99756 [0.99756,0.99756] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.996229 [0.996229,0.996229] area_under_roc_curve 0.997116 [0.997116,0.997116] area_under_roc_curve 0.991792 [0.991792,0.991792] area_under_roc_curve 0.994676 [0.994676,0.994676] area_under_roc_curve 0.997782 [0.997782,0.997782] area_under_roc_curve 0.994454 [0.994454,0.994454] area_under_roc_curve 0.991792 [0.991792,0.991792] area_under_roc_curve 0.995563 [0.995563,0.995563] area_under_roc_curve 0.999113 [0.999113,0.999113] area_under_roc_curve 0.992236 [0.992236,0.992236] area_under_roc_curve 0.997782 [0.997782,0.997782] area_under_roc_curve 0.998669 [0.998669,0.998669] area_under_roc_curve 0.988909 [0.988909,0.988909] area_under_roc_curve 0.998225 [0.998225,0.998225] area_under_roc_curve 0.997782 [0.997782,0.997782] area_under_roc_curve 0.985581 [0.985581,0.985581] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.997338 [0.997338,0.997338] area_under_roc_curve 0.998004 [0.998004,0.998004] area_under_roc_curve 0.994676 [0.994676,0.994676] area_under_roc_curve 0.999556 [0.999556,0.999556] area_under_roc_curve 0.996451 [0.996451,0.996451] area_under_roc_curve 0.996894 [0.996894,0.996894] area_under_roc_curve 0.998225 [0.998225,0.998225] area_under_roc_curve 0.994898 [0.994898,0.994898] area_under_roc_curve 0.989796 [0.989796,0.989796] area_under_roc_curve 0.996673 [0.996673,0.996673] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.988909 [0.988909,0.988909] area_under_roc_curve 0.999113 [0.999113,0.999113] area_under_roc_curve 0.995342 [0.995342,0.995342] area_under_roc_curve 0.996894 [0.996894,0.996894] area_under_roc_curve 0.997338 [0.997338,0.997338] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.99512 [0.99512,0.99512] area_under_roc_curve 0.995563 [0.995563,0.995563] area_under_roc_curve 0.999778 [0.999778,0.999778] area_under_roc_curve 0.996007 [0.996007,0.996007] area_under_roc_curve 0.998669 [0.998669,0.998669] area_under_roc_curve 0.999556 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area_under_roc_curve 0.999113 [0.999113,0.999113] area_under_roc_curve 0.997784 [0.997784,0.997784] area_under_roc_curve 0.99867 [0.99867,0.99867] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.999557 [0.999557,0.999557] area_under_roc_curve 0.998669 [0.998669,0.998669] area_under_roc_curve 0.996454 [0.996454,0.996454] area_under_roc_curve 0.999113 [0.999113,0.999113] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.989471 [0.989691,0.989247] f_measure 0.989471 [0.989691,0.989247] f_measure 0.989476 [0.989691,0.989247] f_measure 0.947263 [0.950495,0.94382] f_measure 0.936842 [0.938776,0.934783] f_measure 1 [1,1] f_measure 0.978924 [0.98,0.977778] f_measure 0.989474 [0.989474,0.989474] f_measure 0.957848 [0.96,0.955556] f_measure 0.957895 [0.958333,0.957447] f_measure 0.936828 [0.93617,0.9375] f_measure 0.926267 [0.924731,0.927835] f_measure 0.978924 [0.98,0.977778] f_measure 0.989469 [0.989899,0.989011] f_measure 0.978924 [0.98,0.977778] f_measure 0.9684 [0.967742,0.969072] f_measure 0.968428 [0.969072,0.967742] f_measure 0.978943 [0.978723,0.979167] f_measure 0.978947 [0.979592,0.978261] f_measure 0.957867 [0.959184,0.956522] f_measure 0.978952 [0.979167,0.978723] f_measure 0.94738 [0.948454,0.946237] f_measure 0.968358 [0.970297,0.966292] f_measure 0.989469 [0.989899,0.989011] f_measure 0.94738 [0.948454,0.946237] f_measure 0.978947 [0.979592,0.978261] f_measure 0.957904 [0.958333,0.957447] f_measure 0.978947 [0.979592,0.978261] f_measure 0.968428 [0.969072,0.967742] f_measure 1 [1,1] f_measure 0.947368 [0.947368,0.947368] f_measure 0.94738 [0.948454,0.946237] f_measure 0.947345 [0.949495,0.945055] f_measure 0.968428 [0.969072,0.967742] f_measure 0.968421 [0.968421,0.968421] f_measure 0.936772 [0.94,0.933333] f_measure 0.926283 [0.929293,0.923077] f_measure 0.94738 [0.948454,0.946237] f_measure 0.989476 [0.989691,0.989247] f_measure 0.957895 [0.959184,0.956522] f_measure 0.989476 [0.989691,0.989247] f_measure 0.968358 [0.970297,0.966292] f_measure 0.936814 [0.93617,0.9375] f_measure 0.968358 [0.970297,0.966292] f_measure 0.968428 [0.969072,0.967742] f_measure 0.947345 [0.949495,0.945055] f_measure 0.989469 [0.989899,0.989011] f_measure 0.968428 [0.969072,0.967742] f_measure 0.978952 [0.979167,0.978723] f_measure 0.957904 [0.958333,0.957447] f_measure 0.968358 [0.970297,0.966292] f_measure 0.978947 [0.979592,0.978261] f_measure 0.957848 [0.96,0.955556] f_measure 0.978947 [0.979592,0.978261] f_measure 0.968407 [0.969697,0.967033] f_measure 0.936856 [0.9375,0.93617] f_measure 0.957848 [0.96,0.955556] f_measure 0.978924 [0.98,0.977778] f_measure 0.926283 [0.929293,0.923077] f_measure 0.957876 [0.957447,0.958333] f_measure 0.968358 [0.970297,0.966292] f_measure 0.968407 [0.969697,0.967033] f_measure 0.968421 [0.968421,0.968421] f_measure 0.989476 [0.989691,0.989247] f_measure 1 [1,1] f_measure 0.968428 [0.969072,0.967742] f_measure 0.936856 [0.9375,0.93617] f_measure 0.989469 [0.989899,0.989011] f_measure 0.957763 [0.960784,0.954545] f_measure 0.968407 [0.969697,0.967033] f_measure 0.978947 [0.979592,0.978261] f_measure 0.978952 [0.979167,0.978723] f_measure 1 [1,1] f_measure 0.947368 [0.947368,0.947368] f_measure 0.978924 [0.98,0.977778] f_measure 0.968428 [0.969072,0.967742] f_measure 0.978952 [0.979167,0.978723] f_measure 0.947345 [0.949495,0.945055] f_measure 0.989476 [0.989691,0.989247] f_measure 0.957895 [0.959184,0.956522] f_measure 1 [1,1] f_measure 0.968428 [0.969072,0.967742] f_measure 0.947368 [0.947368,0.947368] f_measure 0.936828 [0.93617,0.9375] f_measure 0.947368 [0.947368,0.947368] f_measure 0.957876 [0.957447,0.958333] f_measure 0.989471 [0.989691,0.989247] f_measure 0.926332 [0.927835,0.924731] f_measure 0.978947 [0.979167,0.978723] f_measure 0.968428 [0.969072,0.967742] f_measure 0.936856 [0.9375,0.93617] f_measure 0.968407 [0.969697,0.967033] f_measure 0.968414 [0.969072,0.967742] f_measure 0.978947 [0.979167,0.978723] f_measure 0.989474 [0.989474,0.989474] f_measure 1 [1,1] f_measure 0.989474 [0.989474,0.989474] f_measure 0.968407 [0.969697,0.967033] f_measure 0.978943 [0.978723,0.979167] f_measure 0.978947 [0.979592,0.978261] kappa 0.97894 kappa 0.97894 kappa 0.97894 kappa 0.894421 kappa 0.873558 kappa 1 kappa 0.957797 kappa 0.97895 kappa 0.915593 kappa 0.91578 kappa 0.873726 kappa 0.852713 kappa 0.957797 kappa 0.978912 kappa 0.957797 kappa 0.936877 kappa 0.936821 kappa 0.957909 kappa 0.957853 kappa 0.915743 kappa 0.957909 kappa 0.894702 kappa 0.936653 kappa 0.978912 kappa 0.894702 kappa 0.957853 kappa 0.915817 kappa 0.957853 kappa 0.936821 kappa 1 kappa 0.894842 kappa 0.894702 kappa 0.894562 kappa 0.936821 kappa 0.936905 kappa 0.87339 kappa 0.852386 kappa 0.894702 kappa 0.97894 kappa 0.915705 kappa 0.97894 kappa 0.936653 kappa 0.873894 kappa 0.936653 kappa 0.936821 kappa 0.894562 kappa 0.978912 kappa 0.936821 kappa 0.957909 kappa 0.915817 kappa 0.936653 kappa 0.957853 kappa 0.915593 kappa 0.957853 kappa 0.936737 kappa 0.873726 kappa 0.915593 kappa 0.957797 kappa 0.852386 kappa 0.915929 kappa 0.936653 kappa 0.936737 kappa 0.936905 kappa 0.97894 kappa 1 kappa 0.936821 kappa 0.873726 kappa 0.978912 kappa 0.91548 kappa 0.936737 kappa 0.957853 kappa 0.957909 kappa 1 kappa 0.894842 kappa 0.957797 kappa 0.936821 kappa 0.957909 kappa 0.894562 kappa 0.97894 kappa 0.915705 kappa 1 kappa 0.936821 kappa 0.894749 kappa 0.873726 kappa 0.894749 kappa 0.915929 kappa 0.97894 kappa 0.852583 kappa 0.95789 kappa 0.936821 kappa 0.873726 kappa 0.936737 kappa 0.936821 kappa 0.95789 kappa 0.97895 kappa 1 kappa 0.97895 kappa 0.936737 kappa 0.957909 kappa 0.957853 kb_relative_information_score 88.545743 kb_relative_information_score 86.740658 kb_relative_information_score 84.288723 kb_relative_information_score 81.892407 kb_relative_information_score 81.854385 kb_relative_information_score 91.287007 kb_relative_information_score 83.477344 kb_relative_information_score 84.155035 kb_relative_information_score 83.462576 kb_relative_information_score 85.492324 kb_relative_information_score 80.678434 kb_relative_information_score 80.430385 kb_relative_information_score 86.075933 kb_relative_information_score 88.965942 kb_relative_information_score 88.64094 kb_relative_information_score 86.197106 kb_relative_information_score 84.888134 kb_relative_information_score 85.838155 kb_relative_information_score 87.603438 kb_relative_information_score 85.702656 kb_relative_information_score 87.859289 kb_relative_information_score 84.415288 kb_relative_information_score 87.395579 kb_relative_information_score 90.767434 kb_relative_information_score 83.172252 kb_relative_information_score 87.443286 kb_relative_information_score 84.782722 kb_relative_information_score 86.821802 kb_relative_information_score 84.523278 kb_relative_information_score 88.549712 kb_relative_information_score 82.868696 kb_relative_information_score 85.686236 kb_relative_information_score 83.201907 kb_relative_information_score 84.362568 kb_relative_information_score 85.416511 kb_relative_information_score 82.433816 kb_relative_information_score 79.967358 kb_relative_information_score 83.477278 kb_relative_information_score 86.357144 kb_relative_information_score 81.860462 kb_relative_information_score 88.105588 kb_relative_information_score 84.669521 kb_relative_information_score 80.105457 kb_relative_information_score 85.841482 kb_relative_information_score 84.848193 kb_relative_information_score 80.543186 kb_relative_information_score 88.681637 kb_relative_information_score 85.265704 kb_relative_information_score 84.708262 kb_relative_information_score 82.454604 kb_relative_information_score 85.504562 kb_relative_information_score 84.934569 kb_relative_information_score 82.319847 kb_relative_information_score 86.375724 kb_relative_information_score 84.473081 kb_relative_information_score 78.302507 kb_relative_information_score 82.919614 kb_relative_information_score 86.558956 kb_relative_information_score 79.657184 kb_relative_information_score 85.752074 kb_relative_information_score 83.266887 kb_relative_information_score 82.884198 kb_relative_information_score 84.871249 kb_relative_information_score 86.345574 kb_relative_information_score 89.910798 kb_relative_information_score 84.955051 kb_relative_information_score 82.731419 kb_relative_information_score 88.413613 kb_relative_information_score 83.586322 kb_relative_information_score 86.822082 kb_relative_information_score 87.372344 kb_relative_information_score 86.375886 kb_relative_information_score 88.519506 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0.052105 mean_absolute_error 0.067263 mean_absolute_error 0.062421 mean_absolute_error 0.055158 mean_absolute_error 0.069053 mean_absolute_error 0.084 mean_absolute_error 0.064316 mean_absolute_error 0.051053 mean_absolute_error 0.074632 mean_absolute_error 0.041158 mean_absolute_error 0.059158 mean_absolute_error 0.080421 mean_absolute_error 0.052526 mean_absolute_error 0.057684 mean_absolute_error 0.081158 mean_absolute_error 0.039368 mean_absolute_error 0.055474 mean_absolute_error 0.060737 mean_absolute_error 0.070737 mean_absolute_error 0.055474 mean_absolute_error 0.059684 mean_absolute_error 0.072421 mean_absolute_error 0.050421 mean_absolute_error 0.060211 mean_absolute_error 0.094211 mean_absolute_error 0.069474 mean_absolute_error 0.051263 mean_absolute_error 0.084737 mean_absolute_error 0.053158 mean_absolute_error 0.068842 mean_absolute_error 0.071368 mean_absolute_error 0.058105 mean_absolute_error 0.052211 mean_absolute_error 0.031684 mean_absolute_error 0.058211 mean_absolute_error 0.066842 mean_absolute_error 0.039263 mean_absolute_error 0.064842 mean_absolute_error 0.047684 mean_absolute_error 0.046 mean_absolute_error 0.048842 mean_absolute_error 0.039789 mean_absolute_error 0.067895 mean_absolute_error 0.051895 mean_absolute_error 0.062737 mean_absolute_error 0.057158 mean_absolute_error 0.072105 mean_absolute_error 0.045789 mean_absolute_error 0.064842 mean_absolute_error 0.040947 mean_absolute_error 0.064842 mean_absolute_error 0.052947 mean_absolute_error 0.089895 mean_absolute_error 0.085053 mean_absolute_error 0.053579 mean_absolute_error 0.043158 mean_absolute_error 0.071895 mean_absolute_error 0.052 mean_absolute_error 0.068211 mean_absolute_error 0.078842 mean_absolute_error 0.046526 mean_absolute_error 0.047684 mean_absolute_error 0.053474 mean_absolute_error 0.038211 mean_absolute_error 0.030105 mean_absolute_error 0.042526 mean_absolute_error 0.044842 mean_absolute_error 0.052737 mean_absolute_error 0.049158 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 mean_prior_absolute_error 0.499856 mean_prior_absolute_error 0.499569 number_of_instances 95 [48,47] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [48,47] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [49,46] 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number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [48,47] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [48,47] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [49,46] number_of_instances 95 [48,47] number_of_instances 95 [49,46] precision 0.989689 [0.979592,1] precision 0.989689 [0.979592,1] precision 0.989698 [1,0.978723] precision 0.949063 [0.923077,0.976744] precision 0.936842 [0.938776,0.934783] precision 1 [1,1] precision 0.979773 [0.960784,1] precision 0.989693 [1,0.979167] precision 0.958655 [0.941176,0.977273] precision 0.957895 [0.958333,0.957447] precision 0.937645 [0.956522,0.918367] precision 0.92807 [0.955556,0.9] precision 0.979773 [0.960784,1] precision 0.989684 [0.98,1] precision 0.979773 [0.960784,1] precision 0.970316 [1,0.94] precision 0.96865 [0.979167,0.957447] precision 0.979807 [1,0.959184] precision 0.978947 [0.979592,0.978261] precision 0.95869 [0.94,0.977778] precision 0.979825 [1,0.958333] precision 0.947602 [0.958333,0.93617] precision 0.970243 [0.942308,1] precision 0.989684 [0.98,1] precision 0.947602 [0.958333,0.93617] precision 0.978947 [0.979592,0.978261] precision 0.958763 [0.978723,0.9375] precision 0.978947 [0.979592,0.978261] precision 0.96865 [0.979167,0.957447] precision 1 [1,1] precision 0.94926 [0.978261,0.918367] precision 0.947602 [0.958333,0.93617] precision 0.947532 [0.94,0.955556] precision 0.96865 [0.979167,0.957447] precision 0.970354 [1,0.938776] precision 0.937536 [0.921569,0.954545] precision 0.926456 [0.92,0.933333] precision 0.947602 [0.958333,0.93617] precision 0.989698 [1,0.978723] precision 0.957895 [0.959184,0.956522] precision 0.989698 [1,0.978723] precision 0.970243 [0.942308,1] precision 0.940117 [0.977778,0.9] precision 0.970243 [0.942308,1] precision 0.96865 [0.979167,0.957447] precision 0.947532 [0.94,0.955556] precision 0.989684 [0.98,1] precision 0.96865 [0.979167,0.957447] precision 0.979825 [1,0.958333] precision 0.958763 [0.978723,0.9375] precision 0.970243 [0.942308,1] precision 0.978947 [0.979592,0.978261] precision 0.958655 [0.941176,0.977273] precision 0.978947 [0.979592,0.978261] precision 0.968608 [0.96,0.977778] precision 0.937701 [0.957447,0.916667] precision 0.958655 [0.941176,0.977273] precision 0.979773 [0.960784,1] precision 0.926456 [0.92,0.933333] precision 0.961263 [1,0.92] precision 0.970243 [0.942308,1] precision 0.968608 [0.96,0.977778] precision 0.970354 [1,0.938776] precision 0.989698 [1,0.978723] precision 1 [1,1] precision 0.96865 [0.979167,0.957447] precision 0.937701 [0.957447,0.916667] precision 0.989684 [0.98,1] precision 0.961072 [0.924528,1] precision 0.968608 [0.96,0.977778] precision 0.978947 [0.979592,0.978261] precision 0.979825 [1,0.958333] precision 1 [1,1] precision 0.94926 [0.978261,0.918367] precision 0.979773 [0.960784,1] precision 0.96865 [0.979167,0.957447] precision 0.979825 [1,0.958333] precision 0.947532 [0.94,0.955556] precision 0.989698 [1,0.978723] precision 0.957895 [0.959184,0.956522] precision 1 [1,1] precision 0.96865 [0.979167,0.957447] precision 0.947578 [0.957447,0.9375] precision 0.937645 [0.956522,0.918367] precision 0.947578 [0.957447,0.9375] precision 0.961263 [1,0.92] precision 0.989689 [0.979592,1] precision 0.926554 [0.9375,0.914894] precision 0.978947 [0.979167,0.978723] precision 0.96865 [0.979167,0.957447] precision 0.937701 [0.957447,0.916667] precision 0.968608 [0.96,0.977778] precision 0.968622 [0.959184,0.978261] precision 0.978947 [0.979167,0.978723] precision 0.989693 [1,0.979167] precision 1 [1,1] precision 0.989693 [1,0.979167] precision 0.968608 [0.96,0.977778] precision 0.979807 [1,0.959184] precision 0.978947 [0.979592,0.978261] predictive_accuracy 0.989474 predictive_accuracy 0.989474 predictive_accuracy 0.989474 predictive_accuracy 0.947368 predictive_accuracy 0.936842 predictive_accuracy 1 predictive_accuracy 0.978947 predictive_accuracy 0.989474 predictive_accuracy 0.957895 predictive_accuracy 0.957895 predictive_accuracy 0.936842 predictive_accuracy 0.926316 predictive_accuracy 0.978947 predictive_accuracy 0.989474 predictive_accuracy 0.978947 predictive_accuracy 0.968421 predictive_accuracy 0.968421 predictive_accuracy 0.978947 predictive_accuracy 0.978947 predictive_accuracy 0.957895 predictive_accuracy 0.978947 predictive_accuracy 0.947368 predictive_accuracy 0.968421 predictive_accuracy 0.989474 predictive_accuracy 0.947368 predictive_accuracy 0.978947 predictive_accuracy 0.957895 predictive_accuracy 0.978947 predictive_accuracy 0.968421 predictive_accuracy 1 predictive_accuracy 0.947368 predictive_accuracy 0.947368 predictive_accuracy 0.947368 predictive_accuracy 0.968421 predictive_accuracy 0.968421 predictive_accuracy 0.936842 predictive_accuracy 0.926316 predictive_accuracy 0.947368 predictive_accuracy 0.989474 predictive_accuracy 0.957895 predictive_accuracy 0.989474 predictive_accuracy 0.968421 predictive_accuracy 0.936842 predictive_accuracy 0.968421 predictive_accuracy 0.968421 predictive_accuracy 0.947368 predictive_accuracy 0.989474 predictive_accuracy 0.968421 predictive_accuracy 0.978947 predictive_accuracy 0.957895 predictive_accuracy 0.968421 predictive_accuracy 0.978947 predictive_accuracy 0.957895 predictive_accuracy 0.978947 predictive_accuracy 0.968421 predictive_accuracy 0.936842 predictive_accuracy 0.957895 predictive_accuracy 0.978947 predictive_accuracy 0.926316 predictive_accuracy 0.957895 predictive_accuracy 0.968421 predictive_accuracy 0.968421 predictive_accuracy 0.968421 predictive_accuracy 0.989474 predictive_accuracy 1 predictive_accuracy 0.968421 predictive_accuracy 0.936842 predictive_accuracy 0.989474 predictive_accuracy 0.957895 predictive_accuracy 0.968421 predictive_accuracy 0.978947 predictive_accuracy 0.978947 predictive_accuracy 1 predictive_accuracy 0.947368 predictive_accuracy 0.978947 predictive_accuracy 0.968421 predictive_accuracy 0.978947 predictive_accuracy 0.947368 predictive_accuracy 0.989474 predictive_accuracy 0.957895 predictive_accuracy 1 predictive_accuracy 0.968421 predictive_accuracy 0.947368 predictive_accuracy 0.936842 predictive_accuracy 0.947368 predictive_accuracy 0.957895 predictive_accuracy 0.989474 predictive_accuracy 0.926316 predictive_accuracy 0.978947 predictive_accuracy 0.968421 predictive_accuracy 0.936842 predictive_accuracy 0.968421 predictive_accuracy 0.968421 predictive_accuracy 0.978947 predictive_accuracy 0.989474 predictive_accuracy 1 predictive_accuracy 0.989474 predictive_accuracy 0.968421 predictive_accuracy 0.978947 predictive_accuracy 0.978947 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 prior_entropy 0.999462 recall 0.989474 [1,0.978723] recall 0.989474 [1,0.978723] recall 0.989474 [0.979592,1] recall 0.947368 [0.979592,0.913043] recall 0.936842 [0.938776,0.934783] recall 1 [1,1] recall 0.978947 [1,0.956522] recall 0.989474 [0.979167,1] recall 0.957895 [0.979592,0.934783] recall 0.957895 [0.958333,0.957447] recall 0.936842 [0.916667,0.957447] recall 0.926316 [0.895833,0.957447] recall 0.978947 [1,0.956522] recall 0.989474 [1,0.978261] recall 0.978947 [1,0.956522] recall 0.968421 [0.9375,1] recall 0.968421 [0.959184,0.978261] recall 0.978947 [0.958333,1] recall 0.978947 [0.979592,0.978261] recall 0.957895 [0.979167,0.93617] recall 0.978947 [0.959184,1] recall 0.947368 [0.938776,0.956522] recall 0.968421 [1,0.934783] recall 0.989474 [1,0.978261] recall 0.947368 [0.938776,0.956522] recall 0.978947 [0.979592,0.978261] recall 0.957895 [0.938776,0.978261] recall 0.978947 [0.979592,0.978261] recall 0.968421 [0.959184,0.978261] recall 1 [1,1] recall 0.947368 [0.918367,0.978261] recall 0.947368 [0.938776,0.956522] recall 0.947368 [0.959184,0.934783] recall 0.968421 [0.959184,0.978261] recall 0.968421 [0.938776,1] recall 0.936842 [0.959184,0.913043] recall 0.926316 [0.938776,0.913043] recall 0.947368 [0.938776,0.956522] recall 0.989474 [0.979592,1] recall 0.957895 [0.959184,0.956522] recall 0.989474 [0.979592,1] recall 0.968421 [1,0.934783] recall 0.936842 [0.897959,0.978261] recall 0.968421 [1,0.934783] recall 0.968421 [0.959184,0.978261] recall 0.947368 [0.959184,0.934783] recall 0.989474 [1,0.978261] recall 0.968421 [0.959184,0.978261] recall 0.978947 [0.959184,1] recall 0.957895 [0.938776,0.978261] recall 0.968421 [1,0.934783] recall 0.978947 [0.979592,0.978261] recall 0.957895 [0.979592,0.934783] recall 0.978947 [0.979592,0.978261] recall 0.968421 [0.979592,0.956522] recall 0.936842 [0.918367,0.956522] recall 0.957895 [0.979592,0.934783] recall 0.978947 [1,0.956522] recall 0.926316 [0.938776,0.913043] recall 0.957895 [0.918367,1] recall 0.968421 [1,0.934783] recall 0.968421 [0.979592,0.956522] recall 0.968421 [0.938776,1] recall 0.989474 [0.979592,1] recall 1 [1,1] recall 0.968421 [0.959184,0.978261] recall 0.936842 [0.918367,0.956522] recall 0.989474 [1,0.978261] recall 0.957895 [1,0.913043] recall 0.968421 [0.979592,0.956522] recall 0.978947 [0.979592,0.978261] recall 0.978947 [0.959184,1] recall 1 [1,1] recall 0.947368 [0.918367,0.978261] recall 0.978947 [1,0.956522] recall 0.968421 [0.959184,0.978261] recall 0.978947 [0.959184,1] recall 0.947368 [0.959184,0.934783] recall 0.989474 [0.979592,1] recall 0.957895 [0.959184,0.956522] recall 1 [1,1] recall 0.968421 [0.959184,0.978261] recall 0.947368 [0.9375,0.957447] recall 0.936842 [0.916667,0.957447] recall 0.947368 [0.9375,0.957447] recall 0.957895 [0.918367,1] recall 0.989474 [1,0.978723] recall 0.926316 [0.918367,0.934783] recall 0.978947 [0.979167,0.978723] recall 0.968421 [0.959184,0.978261] recall 0.936842 [0.918367,0.956522] recall 0.968421 [0.979592,0.956522] recall 0.968421 [0.979167,0.957447] recall 0.978947 [0.979167,0.978723] recall 0.989474 [0.979167,1] recall 1 [1,1] recall 0.989474 [0.979167,1] recall 0.968421 [0.979592,0.956522] recall 0.978947 [0.958333,1] recall 0.978947 [0.979592,0.978261] relative_absolute_error 0.080444 relative_absolute_error 0.101713 relative_absolute_error 0.130639 relative_absolute_error 0.148338 relative_absolute_error 0.146231 relative_absolute_error 0.05012 relative_absolute_error 0.134221 relative_absolute_error 0.132249 relative_absolute_error 0.132957 relative_absolute_error 0.108031 relative_absolute_error 0.160257 relative_absolute_error 0.16152 relative_absolute_error 0.105354 relative_absolute_error 0.073748 relative_absolute_error 0.076908 relative_absolute_error 0.099186 relative_absolute_error 0.117154 relative_absolute_error 0.108663 relative_absolute_error 0.083862 relative_absolute_error 0.106346 relative_absolute_error 0.081123 relative_absolute_error 0.116311 relative_absolute_error 0.085337 relative_absolute_error 0.051623 relative_absolute_error 0.135696 relative_absolute_error 0.089762 relative_absolute_error 0.115257 relative_absolute_error 0.096926 relative_absolute_error 0.122 relative_absolute_error 0.081755 relative_absolute_error 0.132746 relative_absolute_error 0.1043 relative_absolute_error 0.134642 relative_absolute_error 0.12495 relative_absolute_error 0.110411 relative_absolute_error 0.138224 relative_absolute_error 0.168145 relative_absolute_error 0.128743 relative_absolute_error 0.102193 relative_absolute_error 0.149392 relative_absolute_error 0.082387 relative_absolute_error 0.118418 relative_absolute_error 0.160981 relative_absolute_error 0.105143 relative_absolute_error 0.115468 relative_absolute_error 0.162456 relative_absolute_error 0.078805 relative_absolute_error 0.111043 relative_absolute_error 0.121579 relative_absolute_error 0.141596 relative_absolute_error 0.111043 relative_absolute_error 0.119471 relative_absolute_error 0.144967 relative_absolute_error 0.100929 relative_absolute_error 0.120525 relative_absolute_error 0.188584 relative_absolute_error 0.139067 relative_absolute_error 0.102615 relative_absolute_error 0.16962 relative_absolute_error 0.106408 relative_absolute_error 0.137803 relative_absolute_error 0.14286 relative_absolute_error 0.116311 relative_absolute_error 0.104511 relative_absolute_error 0.063423 relative_absolute_error 0.116522 relative_absolute_error 0.1338 relative_absolute_error 0.078594 relative_absolute_error 0.129796 relative_absolute_error 0.095451 relative_absolute_error 0.092079 relative_absolute_error 0.097769 relative_absolute_error 0.079648 relative_absolute_error 0.135907 relative_absolute_error 0.103879 relative_absolute_error 0.125582 relative_absolute_error 0.114414 relative_absolute_error 0.144335 relative_absolute_error 0.091658 relative_absolute_error 0.129796 relative_absolute_error 0.081965 relative_absolute_error 0.129796 relative_absolute_error 0.105925 relative_absolute_error 0.179841 relative_absolute_error 0.170154 relative_absolute_error 0.10725 relative_absolute_error 0.086341 relative_absolute_error 0.143914 relative_absolute_error 0.10403 relative_absolute_error 0.136539 relative_absolute_error 0.15782 relative_absolute_error 0.093133 relative_absolute_error 0.095396 relative_absolute_error 0.106978 relative_absolute_error 0.076443 relative_absolute_error 0.060262 relative_absolute_error 0.085077 relative_absolute_error 0.089762 relative_absolute_error 0.105504 relative_absolute_error 0.098401 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_prior_squared_error 0.500043 root_mean_prior_squared_error 0.499755 root_mean_squared_error 0.103283 root_mean_squared_error 0.132748 root_mean_squared_error 0.137611 root_mean_squared_error 0.180053 root_mean_squared_error 0.18248 root_mean_squared_error 0.064628 root_mean_squared_error 0.160325 root_mean_squared_error 0.141131 root_mean_squared_error 0.168307 root_mean_squared_error 0.151195 root_mean_squared_error 0.193448 root_mean_squared_error 0.19956 root_mean_squared_error 0.150375 root_mean_squared_error 0.100724 root_mean_squared_error 0.1117 root_mean_squared_error 0.165761 root_mean_squared_error 0.164994 root_mean_squared_error 0.138541 root_mean_squared_error 0.130835 root_mean_squared_error 0.157276 root_mean_squared_error 0.127018 root_mean_squared_error 0.178897 root_mean_squared_error 0.135184 root_mean_squared_error 0.095007 root_mean_squared_error 0.163861 root_mean_squared_error 0.121274 root_mean_squared_error 0.161366 root_mean_squared_error 0.1426 root_mean_squared_error 0.152809 root_mean_squared_error 0.097668 root_mean_squared_error 0.184111 root_mean_squared_error 0.15084 root_mean_squared_error 0.178894 root_mean_squared_error 0.15821 root_mean_squared_error 0.14826 root_mean_squared_error 0.187459 root_mean_squared_error 0.193206 root_mean_squared_error 0.170655 root_mean_squared_error 0.134333 root_mean_squared_error 0.183363 root_mean_squared_error 0.123224 root_mean_squared_error 0.153204 root_mean_squared_error 0.215748 root_mean_squared_error 0.147901 root_mean_squared_error 0.154484 root_mean_squared_error 0.207894 root_mean_squared_error 0.099462 root_mean_squared_error 0.154787 root_mean_squared_error 0.143604 root_mean_squared_error 0.181415 root_mean_squared_error 0.14334 root_mean_squared_error 0.149888 root_mean_squared_error 0.171832 root_mean_squared_error 0.135744 root_mean_squared_error 0.174005 root_mean_squared_error 0.21116 root_mean_squared_error 0.163456 root_mean_squared_error 0.121582 root_mean_squared_error 0.21024 root_mean_squared_error 0.143399 root_mean_squared_error 0.168847 root_mean_squared_error 0.16316 root_mean_squared_error 0.155286 root_mean_squared_error 0.123757 root_mean_squared_error 0.087509 root_mean_squared_error 0.158748 root_mean_squared_error 0.178888 root_mean_squared_error 0.109212 root_mean_squared_error 0.180146 root_mean_squared_error 0.127002 root_mean_squared_error 0.118219 root_mean_squared_error 0.143027 root_mean_squared_error 0.104105 root_mean_squared_error 0.184628 root_mean_squared_error 0.124474 root_mean_squared_error 0.143688 root_mean_squared_error 0.163008 root_mean_squared_error 0.187468 root_mean_squared_error 0.120145 root_mean_squared_error 0.154423 root_mean_squared_error 0.095845 root_mean_squared_error 0.147677 root_mean_squared_error 0.139823 root_mean_squared_error 0.198765 root_mean_squared_error 0.193178 root_mean_squared_error 0.143186 root_mean_squared_error 0.126699 root_mean_squared_error 0.189895 root_mean_squared_error 0.137802 root_mean_squared_error 0.167577 root_mean_squared_error 0.196889 root_mean_squared_error 0.156077 root_mean_squared_error 0.128173 root_mean_squared_error 0.145486 root_mean_squared_error 0.12046 root_mean_squared_error 0.085434 root_mean_squared_error 0.115138 root_mean_squared_error 0.132347 root_mean_squared_error 0.152885 root_mean_squared_error 0.124321 root_relative_squared_error 0.206548 root_relative_squared_error 0.265474 root_relative_squared_error 0.275357 root_relative_squared_error 0.360282 root_relative_squared_error 0.365139 root_relative_squared_error 0.129246 root_relative_squared_error 0.320808 root_relative_squared_error 0.282237 root_relative_squared_error 0.33678 root_relative_squared_error 0.302365 root_relative_squared_error 0.386863 root_relative_squared_error 0.399086 root_relative_squared_error 0.300897 root_relative_squared_error 0.201546 root_relative_squared_error 0.223509 root_relative_squared_error 0.331494 root_relative_squared_error 0.33015 root_relative_squared_error 0.277059 root_relative_squared_error 0.261799 root_relative_squared_error 0.314525 root_relative_squared_error 0.254161 root_relative_squared_error 0.35797 root_relative_squared_error 0.270501 root_relative_squared_error 0.190107 root_relative_squared_error 0.327883 root_relative_squared_error 0.242667 root_relative_squared_error 0.32289 root_relative_squared_error 0.28534 root_relative_squared_error 0.305767 root_relative_squared_error 0.195431 root_relative_squared_error 0.368402 root_relative_squared_error 0.301827 root_relative_squared_error 0.357964 root_relative_squared_error 0.316576 root_relative_squared_error 0.296665 root_relative_squared_error 0.375103 root_relative_squared_error 0.386601 root_relative_squared_error 0.341477 root_relative_squared_error 0.268797 root_relative_squared_error 0.366906 root_relative_squared_error 0.246569 root_relative_squared_error 0.306559 root_relative_squared_error 0.431708 root_relative_squared_error 0.295947 root_relative_squared_error 0.309119 root_relative_squared_error 0.415992 root_relative_squared_error 0.199021 root_relative_squared_error 0.309725 root_relative_squared_error 0.287349 root_relative_squared_error 0.363009 root_relative_squared_error 0.28682 root_relative_squared_error 0.299922 root_relative_squared_error 0.343833 root_relative_squared_error 0.27162 root_relative_squared_error 0.348181 root_relative_squared_error 0.422526 root_relative_squared_error 0.327072 root_relative_squared_error 0.243282 root_relative_squared_error 0.420687 root_relative_squared_error 0.286938 root_relative_squared_error 0.33786 root_relative_squared_error 0.326479 root_relative_squared_error 0.310724 root_relative_squared_error 0.247635 root_relative_squared_error 0.175105 root_relative_squared_error 0.317652 root_relative_squared_error 0.357952 root_relative_squared_error 0.218532 root_relative_squared_error 0.360469 root_relative_squared_error 0.254128 root_relative_squared_error 0.236554 root_relative_squared_error 0.286195 root_relative_squared_error 0.208312 root_relative_squared_error 0.369436 root_relative_squared_error 0.249069 root_relative_squared_error 0.287517 root_relative_squared_error 0.326176 root_relative_squared_error 0.375119 root_relative_squared_error 0.240407 root_relative_squared_error 0.308996 root_relative_squared_error 0.191784 root_relative_squared_error 0.295498 root_relative_squared_error 0.279622 root_relative_squared_error 0.397495 root_relative_squared_error 0.386324 root_relative_squared_error 0.286511 root_relative_squared_error 0.253376 root_relative_squared_error 0.379975 root_relative_squared_error 0.275581 root_relative_squared_error 0.335319 root_relative_squared_error 0.393971 root_relative_squared_error 0.312307 root_relative_squared_error 0.256325 root_relative_squared_error 0.290948 root_relative_squared_error 0.240899 root_relative_squared_error 0.170951 root_relative_squared_error 0.230257 root_relative_squared_error 0.264824 root_relative_squared_error 0.305743 root_relative_squared_error 0.248764 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 180 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 150 usercpu_time_millis 150 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis 170 usercpu_time_millis 160 usercpu_time_millis 160 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 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 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