431905 2 Joaquin Vanschoren 4321 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2063 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 20 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 20 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 750 pm10 https://www.openml.org/data/download/53284/pm10.arff -1 1509481 description https://api.openml.org/data/download/1509481/weka_generated_run4956276421892466998.xml -1 1509484 model_readable https://api.openml.org/data/download/1509484/WekaModel_weka.classifiers.meta.RotationForest252890394524444442.model -1 1509483 model_serialized https://api.openml.org/data/download/1509483/WekaSerialized_weka.classifiers.meta.RotationForest740342344049414470.model -1 1509482 predictions https://api.openml.org/data/download/1509482/weka_generated_predictions1615080609718984247.arff area_under_roc_curve 0.551136 [0.551136,0.551136] average_cost 0 f_measure 0.513925 [0.64324,0.380405] kappa 0.086767 kb_relative_information_score 18.637958 mean_absolute_error 0.498595 mean_prior_absolute_error 0.499873 number_of_instances 5000 [2540,2460] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.558801 [0.536259,0.582077] predictive_accuracy 0.5472 prior_entropy 0.999817 recall 0.5472 [0.803543,0.28252] relative_absolute_error 0.997445 root_mean_prior_squared_error 0.499936 root_mean_squared_error 0.4992 root_relative_squared_error 0.998528 scimark_benchmark 921.261522 [501.0745954496611, 997.6468707916924, 474.8968876378323, 885.6216102081812, 1747.0676455404612] total_cost 0 usercpu_time_millis 140 usercpu_time_millis_testing 50 usercpu_time_millis_training 90 area_under_roc_curve 0.463942 [0.463942,0.463942] area_under_roc_curve 0.482372 [0.482372,0.482372] area_under_roc_curve 0.503205 [0.503205,0.503205] area_under_roc_curve 0.5528 [0.5528,0.5528] area_under_roc_curve 0.623397 [0.623397,0.623397] area_under_roc_curve 0.5632 [0.5632,0.5632] area_under_roc_curve 0.564 [0.564,0.564] area_under_roc_curve 0.438301 [0.438301,0.438301] area_under_roc_curve 0.424 [0.424,0.424] area_under_roc_curve 0.619391 [0.619391,0.619391] area_under_roc_curve 0.445513 [0.445513,0.445513] area_under_roc_curve 0.475962 [0.475962,0.475962] area_under_roc_curve 0.633013 [0.633013,0.633013] area_under_roc_curve 0.5232 [0.5232,0.5232] area_under_roc_curve 0.582532 [0.582532,0.582532] area_under_roc_curve 0.624 [0.624,0.624] area_under_roc_curve 0.5952 [0.5952,0.5952] area_under_roc_curve 0.614583 [0.614583,0.614583] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.492788 [0.492788,0.492788] area_under_roc_curve 0.498397 [0.498397,0.498397] area_under_roc_curve 0.484776 [0.484776,0.484776] area_under_roc_curve 0.560096 [0.560096,0.560096] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.630609 [0.630609,0.630609] area_under_roc_curve 0.4712 [0.4712,0.4712] area_under_roc_curve 0.4664 [0.4664,0.4664] area_under_roc_curve 0.497596 [0.497596,0.497596] area_under_roc_curve 0.6808 [0.6808,0.6808] area_under_roc_curve 0.581731 [0.581731,0.581731] area_under_roc_curve 0.521635 [0.521635,0.521635] area_under_roc_curve 0.677083 [0.677083,0.677083] area_under_roc_curve 0.623397 [0.623397,0.623397] area_under_roc_curve 0.5952 [0.5952,0.5952] area_under_roc_curve 0.503205 [0.503205,0.503205] area_under_roc_curve 0.4808 [0.4808,0.4808] area_under_roc_curve 0.6024 [0.6024,0.6024] area_under_roc_curve 0.611378 [0.611378,0.611378] area_under_roc_curve 0.4992 [0.4992,0.4992] area_under_roc_curve 0.466346 [0.466346,0.466346] area_under_roc_curve 0.752 [0.752,0.752] area_under_roc_curve 0.6104 [0.6104,0.6104] area_under_roc_curve 0.4656 [0.4656,0.4656] area_under_roc_curve 0.488 [0.488,0.488] area_under_roc_curve 0.4632 [0.4632,0.4632] area_under_roc_curve 0.5032 [0.5032,0.5032] area_under_roc_curve 0.6008 [0.6008,0.6008] area_under_roc_curve 0.6216 [0.6216,0.6216] area_under_roc_curve 0.4744 [0.4744,0.4744] area_under_roc_curve 0.5768 [0.5768,0.5768] area_under_roc_curve 0.6712 [0.6712,0.6712] area_under_roc_curve 0.532 [0.532,0.532] area_under_roc_curve 0.4648 [0.4648,0.4648] area_under_roc_curve 0.6616 [0.6616,0.6616] area_under_roc_curve 0.5072 [0.5072,0.5072] area_under_roc_curve 0.58 [0.58,0.58] area_under_roc_curve 0.6264 [0.6264,0.6264] area_under_roc_curve 0.6184 [0.6184,0.6184] area_under_roc_curve 0.6112 [0.6112,0.6112] area_under_roc_curve 0.4384 [0.4384,0.4384] area_under_roc_curve 0.7408 [0.7408,0.7408] area_under_roc_curve 0.5304 [0.5304,0.5304] area_under_roc_curve 0.568 [0.568,0.568] area_under_roc_curve 0.590545 [0.590545,0.590545] area_under_roc_curve 0.5776 [0.5776,0.5776] area_under_roc_curve 0.645032 [0.645032,0.645032] area_under_roc_curve 0.46234 [0.46234,0.46234] area_under_roc_curve 0.5464 [0.5464,0.5464] area_under_roc_curve 0.440705 [0.440705,0.440705] area_under_roc_curve 0.4888 [0.4888,0.4888] area_under_roc_curve 0.64 [0.64,0.64] area_under_roc_curve 0.5056 [0.5056,0.5056] area_under_roc_curve 0.716 [0.716,0.716] area_under_roc_curve 0.605769 [0.605769,0.605769] area_under_roc_curve 0.5912 [0.5912,0.5912] area_under_roc_curve 0.669872 [0.669872,0.669872] area_under_roc_curve 0.514423 [0.514423,0.514423] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.567308 [0.567308,0.567308] area_under_roc_curve 0.5832 [0.5832,0.5832] area_under_roc_curve 0.54 [0.54,0.54] area_under_roc_curve 0.6264 [0.6264,0.6264] area_under_roc_curve 0.5368 [0.5368,0.5368] area_under_roc_curve 0.659455 [0.659455,0.659455] area_under_roc_curve 0.52 [0.52,0.52] area_under_roc_curve 0.565705 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average_cost 0 average_cost 0 average_cost 0 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 0.469326 [0.603175,0.324324] f_measure 0.434545 [0.5,0.363636] f_measure 0.516078 [0.666667,0.352941] f_measure 0.524597 [0.610169,0.439024] f_measure 0.544 [0.676923,0.4] f_measure 0.490044 [0.704225,0.275862] f_measure 0.494485 [0.676471,0.3125] f_measure 0.442083 [0.59375,0.277778] f_measure 0.465241 [0.636364,0.294118] f_measure 0.501765 [0.676471,0.3125] f_measure 0.426873 [0.571429,0.27027] f_measure 0.424497 [0.637681,0.193548] f_measure 0.587429 [0.707692,0.457143] f_measure 0.533107 [0.645161,0.421053] f_measure 0.485 [0.625,0.333333] f_measure 0.554367 [0.69697,0.411765] f_measure 0.540441 [0.705882,0.375] f_measure 0.586667 [0.666667,0.5] f_measure 0.533107 [0.645161,0.421053] f_measure 0.413714 [0.584615,0.228571] f_measure 0.545333 [0.633333,0.45] f_measure 0.411477 [0.548387,0.263158] f_measure 0.587429 [0.707692,0.457143] f_measure 0.54955 [0.666667,0.432432] f_measure 0.628 [0.7,0.55] f_measure 0.435764 [0.59375,0.277778] f_measure 0.448217 [0.580645,0.315789] f_measure 0.569062 [0.644068,0.487805] f_measure 0.684741 [0.754098,0.615385] f_measure 0.537589 [0.645161,0.421053] f_measure 0.586667 [0.666667,0.5] f_measure 0.695716 [0.736842,0.651163] f_measure 0.544 [0.676923,0.4] f_measure 0.600673 [0.688525,0.512821] f_measure 0.485 [0.625,0.333333] f_measure 0.415615 [0.637681,0.193548] f_measure 0.538462 [0.676923,0.4] f_measure 0.570833 [0.6875,0.444444] f_measure 0.415615 [0.637681,0.193548] f_measure 0.442083 [0.59375,0.277778] f_measure 0.617997 [0.709677,0.526316] f_measure 0.571603 [0.631579,0.511628] f_measure 0.490662 [0.612903,0.368421] f_measure 0.436393 [0.481481,0.391304] f_measure 0.458333 [0.566667,0.35] f_measure 0.50665 [0.634921,0.378378] f_measure 0.479167 [0.625,0.333333] f_measure 0.558638 [0.655738,0.461538] f_measure 0.458333 [0.566667,0.35] f_measure 0.479873 [0.656716,0.30303] f_measure 0.630542 [0.689655,0.571429] f_measure 0.54955 [0.666667,0.432432] f_measure 0.50665 [0.634921,0.378378] f_measure 0.565972 [0.6875,0.444444] f_measure 0.474569 [0.590164,0.358974] f_measure 0.483258 [0.576271,0.390244] f_measure 0.509804 [0.666667,0.352941] f_measure 0.558638 [0.655738,0.461538] f_measure 0.57033 [0.716418,0.424242] f_measure 0.494485 [0.676471,0.3125] f_measure 0.57033 [0.716418,0.424242] f_measure 0.441918 [0.542373,0.341463] f_measure 0.420849 [0.571429,0.27027] f_measure 0.498611 [0.704225,0.275862] f_measure 0.583333 [0.666667,0.5] f_measure 0.545333 [0.633333,0.45] f_measure 0.426873 [0.571429,0.27027] f_measure 0.494505 [0.646154,0.342857] f_measure 0.445936 [0.542373,0.341463] f_measure 0.462366 [0.666667,0.258065] f_measure 0.47619 [0.685714,0.266667] f_measure 0.333333 [0.6,0.066667] f_measure 0.555867 [0.724638,0.387097] f_measure 0.562522 [0.655738,0.461538] f_measure 0.522569 [0.65625,0.388889] f_measure 0.645851 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kappa 0.140753 kappa 0.16 kappa 0.12 kappa -0.062092 kappa 0.04 kappa 0.095395 kappa -0.101142 kappa -0.029654 kappa 0.222586 kappa 0.12 kappa 0.019608 kappa 0.2 kappa 0.2 kappa 0.188312 kappa 0.12 kappa -0.104746 kappa 0.107143 kappa -0.140065 kappa 0.222586 kappa 0.16 kappa 0.269481 kappa -0.04 kappa -0.04 kappa 0.149109 kappa 0.4 kappa 0.104235 kappa 0.188312 kappa 0.394184 kappa 0.140753 kappa 0.24 kappa 0.019608 kappa 0 kappa 0.16 kappa 0.183007 kappa 0 kappa -0.062092 kappa 0.28 kappa 0.16 kappa 0.04 kappa -0.12 kappa -0.04 kappa 0.08 kappa 0.04 kappa 0.16 kappa -0.04 kappa 0.08 kappa 0.28 kappa 0.16 kappa 0.08 kappa 0.2 kappa 0 kappa 0 kappa 0.12 kappa 0.16 kappa 0.24 kappa 0.12 kappa 0.24 kappa -0.08 kappa -0.08 kappa 0.132231 kappa 0.2 kappa 0.107143 kappa -0.101142 kappa 0.08 kappa -0.094003 kappa 0.08 kappa 0.12 kappa -0.12 kappa 0.24 kappa 0.146341 kappa 0.12 kappa 0.308943 kappa 0.05892 kappa 0.04 kappa 0.137931 kappa 0.08 kappa 0.08 kappa 0.12 kappa 0.04 kappa 0.143556 kappa 0.12 kappa 0.065041 kappa 0.086379 kappa 0.2 kappa -0.143791 kappa 0.04 kappa 0 kappa 0.12 kappa 0.04 kappa 0.022801 kappa 0 kappa -0.062092 kappa -0.055195 kappa 0.24 kappa 0.052718 kappa 0.16 kb_relative_information_score 0.019774 kb_relative_information_score -0.205298 kb_relative_information_score 0.189109 kb_relative_information_score 0.152691 kb_relative_information_score 0.483501 kb_relative_information_score 0.2212 kb_relative_information_score 0.319407 kb_relative_information_score -0.398125 kb_relative_information_score -0.147788 kb_relative_information_score 0.541419 kb_relative_information_score -0.389875 kb_relative_information_score -0.264368 kb_relative_information_score 0.697375 kb_relative_information_score 0.162851 kb_relative_information_score 0.244848 kb_relative_information_score 0.301515 kb_relative_information_score 0.172494 kb_relative_information_score 0.56597 kb_relative_information_score 0.378162 kb_relative_information_score -0.14 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0.498922 mean_absolute_error 0.491209 mean_absolute_error 0.499778 mean_absolute_error 0.498257 mean_absolute_error 0.494839 mean_absolute_error 0.497544 mean_absolute_error 0.496294 mean_absolute_error 0.499357 mean_absolute_error 0.500489 mean_absolute_error 0.498087 mean_absolute_error 0.496726 mean_absolute_error 0.501062 mean_absolute_error 0.498639 mean_absolute_error 0.495322 mean_absolute_error 0.49734 mean_absolute_error 0.500829 mean_absolute_error 0.5035 mean_absolute_error 0.502244 mean_absolute_error 0.497345 mean_absolute_error 0.498509 mean_absolute_error 0.498701 mean_absolute_error 0.500096 mean_absolute_error 0.499068 mean_absolute_error 0.491512 mean_absolute_error 0.498018 mean_absolute_error 0.503838 mean_absolute_error 0.494901 mean_absolute_error 0.500811 mean_absolute_error 0.497869 mean_absolute_error 0.497527 mean_absolute_error 0.494337 mean_absolute_error 0.49616 mean_absolute_error 0.49875 mean_absolute_error 0.494525 mean_absolute_error 0.499424 mean_absolute_error 0.499932 mean_absolute_error 0.497224 mean_absolute_error 0.495335 mean_absolute_error 0.495744 mean_absolute_error 0.500917 mean_absolute_error 0.499152 mean_absolute_error 0.505397 mean_absolute_error 0.500134 mean_absolute_error 0.498185 mean_absolute_error 0.502108 mean_absolute_error 0.497155 mean_absolute_error 0.497822 mean_absolute_error 0.49596 mean_absolute_error 0.496349 mean_absolute_error 0.499896 mean_absolute_error 0.499487 mean_absolute_error 0.4989 mean_absolute_error 0.49661 mean_absolute_error 0.499481 mean_absolute_error 0.496308 mean_absolute_error 0.498702 mean_absolute_error 0.496895 mean_absolute_error 0.4985 mean_absolute_error 0.497892 mean_absolute_error 0.498959 mean_absolute_error 0.49828 mean_absolute_error 0.50228 mean_absolute_error 0.498593 mean_absolute_error 0.500006 mean_absolute_error 0.494621 mean_absolute_error 0.499494 mean_absolute_error 0.498959 mean_absolute_error 0.499389 mean_absolute_error 0.501783 mean_absolute_error 0.516181 mean_absolute_error 0.496751 mean_absolute_error 0.497977 mean_absolute_error 0.497757 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499681 mean_prior_absolute_error 0.5 number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [26,24] number_of_instances 50 [25,25] number_of_instances 50 [26,24] number_of_instances 50 [25,25] precision 0.488565 [0.513514,0.461538] precision 0.434667 [0.466667,0.4] precision 0.574 [0.55,0.6] precision 0.545956 [0.529412,0.5625] precision 0.598788 [0.564103,0.636364] precision 0.771739 [0.543478,1] precision 0.624585 [0.534884,0.714286] precision 0.46 [0.5,0.416667] precision 0.533875 [0.512195,0.555556] precision 0.584762 [0.547619,0.625] precision 0.437588 [0.486486,0.384615] precision 0.471761 [0.511628,0.428571] precision 0.655758 [0.589744,0.727273] precision 0.577963 [0.540541,0.615385] precision 0.513684 [0.526316,0.5] precision 0.669377 [0.560976,0.777778] precision 0.707641 [0.55814,0.857143] precision 0.605882 [0.588235,0.625] precision 0.577963 [0.540541,0.615385] precision 0.427879 [0.487179,0.363636] precision 0.560588 [0.558824,0.5625] precision 0.416984 [0.472222,0.357143] precision 0.655758 [0.589744,0.727273] precision 0.609649 [0.552632,0.666667] precision 0.651176 [0.617647,0.6875] precision 0.470862 [0.487179,0.454545] precision 0.474012 [0.486486,0.461538] precision 0.581747 [0.575758,0.588235] precision 0.748016 [0.638889,0.857143] precision 0.563175 [0.555556,0.571429] precision 0.605882 [0.588235,0.625] precision 0.705942 [0.677419,0.736842] precision 0.598788 [0.564103,0.636364] precision 0.64881 [0.583333,0.714286] precision 0.513684 [0.526316,0.5] precision 0.5 [0.5,0.5] precision 0.625 [0.55,0.7] precision 0.621053 [0.578947,0.666667] precision 0.5 [0.5,0.5] precision 0.46 [0.5,0.416667] precision 0.681913 [0.594595,0.769231] precision 0.586806 [0.5625,0.611111] precision 0.525988 [0.513514,0.538462] precision 0.438424 [0.448276,0.428571] precision 0.47619 [0.485714,0.466667] precision 0.554825 [0.526316,0.583333] precision 0.529138 [0.512821,0.545455] precision 0.599206 [0.555556,0.642857] precision 0.47619 [0.485714,0.466667] precision 0.574405 [0.52381,0.625] precision 0.655971 [0.606061,0.705882] precision 0.609649 [0.552632,0.666667] precision 0.554825 [0.526316,0.583333] precision 0.645688 [0.564103,0.727273] precision 0.5 [0.5,0.5] precision 0.5 [0.5,0.5] precision 0.601626 [0.536585,0.666667] precision 0.599206 [0.555556,0.642857] precision 0.723214 [0.571429,0.875] precision 0.624585 [0.534884,0.714286] precision 0.723214 [0.571429,0.875] precision 0.454044 [0.470588,0.4375] precision 0.445175 [0.473684,0.416667] precision 0.672889 [0.555556,0.8] precision 0.619048 [0.571429,0.666667] precision 0.560588 [0.558824,0.5625] precision 0.437588 [0.486486,0.384615] precision 0.5625 [0.525,0.6] precision 0.449768 [0.484848,0.411765] precision 0.594697 [0.522727,0.666667] precision 0.666667 [0.533333,0.8] precision 0.333333 [0.466667,0.2] precision 0.784091 [0.568182,1] precision 0.585143 [0.571429,0.6] precision 0.587413 [0.538462,0.636364] precision 0.678857 [0.628571,0.733333] precision 0.541818 [0.538462,0.545455] precision 0.525988 [0.513514,0.538462] precision 0.611707 [0.560976,0.666667] precision 0.554825 [0.526316,0.583333] precision 0.5625 [0.525,0.6] precision 0.601626 [0.536585,0.666667] precision 0.525988 [0.513514,0.538462] precision 0.59052 [0.567568,0.615385] precision 0.624585 [0.534884,0.714286] precision 0.538286 [0.542857,0.533333] precision 0.761667 [0.541667,1] precision 0.611408 [0.575758,0.647059] precision 0.406316 [0.473684,0.333333] precision 0.541528 [0.511628,0.571429] precision 0.5 [0.5,0.5] precision 0.560386 [0.555556,0.565217] precision 0.588652 [0.510638,0.666667] precision 0.514444 [0.527778,0.5] precision 0.5 [0.5,0.5] precision 0.46 [0.5,0.416667] precision 0.47 [0.5,0.4375] precision 0.723214 [0.571429,0.875] precision 0.552425 [0.534884,0.571429] precision 0.599206 [0.555556,0.642857] predictive_accuracy 0.5 predictive_accuracy 0.44 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.58 predictive_accuracy 0.58 predictive_accuracy 0.56 predictive_accuracy 0.48 predictive_accuracy 0.52 predictive_accuracy 0.56 predictive_accuracy 0.46 predictive_accuracy 0.5 predictive_accuracy 0.62 predictive_accuracy 0.56 predictive_accuracy 0.52 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.46 predictive_accuracy 0.56 predictive_accuracy 0.44 predictive_accuracy 0.62 predictive_accuracy 0.58 predictive_accuracy 0.64 predictive_accuracy 0.48 predictive_accuracy 0.48 predictive_accuracy 0.58 predictive_accuracy 0.7 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.7 predictive_accuracy 0.58 predictive_accuracy 0.62 predictive_accuracy 0.52 predictive_accuracy 0.5 predictive_accuracy 0.58 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.48 predictive_accuracy 0.64 predictive_accuracy 0.58 predictive_accuracy 0.52 predictive_accuracy 0.44 predictive_accuracy 0.48 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.58 predictive_accuracy 0.48 predictive_accuracy 0.54 predictive_accuracy 0.64 predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.6 predictive_accuracy 0.5 predictive_accuracy 0.5 predictive_accuracy 0.56 predictive_accuracy 0.58 predictive_accuracy 0.62 predictive_accuracy 0.56 predictive_accuracy 0.62 predictive_accuracy 0.46 predictive_accuracy 0.46 predictive_accuracy 0.58 predictive_accuracy 0.6 predictive_accuracy 0.56 predictive_accuracy 0.46 predictive_accuracy 0.54 predictive_accuracy 0.46 predictive_accuracy 0.54 predictive_accuracy 0.56 predictive_accuracy 0.44 predictive_accuracy 0.62 predictive_accuracy 0.58 predictive_accuracy 0.56 predictive_accuracy 0.66 predictive_accuracy 0.54 predictive_accuracy 0.52 predictive_accuracy 0.58 predictive_accuracy 0.54 predictive_accuracy 0.54 predictive_accuracy 0.56 predictive_accuracy 0.52 predictive_accuracy 0.58 predictive_accuracy 0.56 predictive_accuracy 0.54 predictive_accuracy 0.56 predictive_accuracy 0.6 predictive_accuracy 0.44 predictive_accuracy 0.52 predictive_accuracy 0.5 predictive_accuracy 0.56 predictive_accuracy 0.52 predictive_accuracy 0.52 predictive_accuracy 0.5 predictive_accuracy 0.48 predictive_accuracy 0.48 predictive_accuracy 0.62 predictive_accuracy 0.54 predictive_accuracy 0.58 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 prior_entropy 0.999817 recall 0.5 [0.730769,0.25] recall 0.44 [0.538462,0.333333] recall 0.56 [0.846154,0.25] recall 0.54 [0.72,0.36] recall 0.58 [0.846154,0.291667] recall 0.58 [1,0.16] recall 0.56 [0.92,0.2] recall 0.48 [0.730769,0.208333] recall 0.52 [0.84,0.2] recall 0.56 [0.884615,0.208333] recall 0.46 [0.692308,0.208333] recall 0.5 [0.846154,0.125] recall 0.62 [0.884615,0.333333] recall 0.56 [0.8,0.32] recall 0.52 [0.769231,0.25] recall 0.6 [0.92,0.28] recall 0.6 [0.96,0.24] recall 0.6 [0.769231,0.416667] recall 0.56 [0.8,0.32] recall 0.46 [0.730769,0.166667] recall 0.56 [0.730769,0.375] recall 0.44 [0.653846,0.208333] recall 0.62 [0.884615,0.333333] recall 0.58 [0.84,0.32] recall 0.64 [0.807692,0.458333] recall 0.48 [0.76,0.2] recall 0.48 [0.72,0.24] recall 0.58 [0.730769,0.416667] recall 0.7 [0.92,0.48] recall 0.56 [0.769231,0.333333] recall 0.6 [0.769231,0.416667] recall 0.7 [0.807692,0.583333] recall 0.58 [0.846154,0.291667] recall 0.62 [0.84,0.4] recall 0.52 [0.769231,0.25] recall 0.5 [0.88,0.12] recall 0.58 [0.88,0.28] recall 0.6 [0.846154,0.333333] recall 0.5 [0.88,0.12] recall 0.48 [0.730769,0.208333] recall 0.64 [0.88,0.4] recall 0.58 [0.72,0.44] recall 0.52 [0.76,0.28] recall 0.44 [0.52,0.36] recall 0.48 [0.68,0.28] recall 0.54 [0.8,0.28] recall 0.52 [0.8,0.24] recall 0.58 [0.8,0.36] recall 0.48 [0.68,0.28] recall 0.54 [0.88,0.2] recall 0.64 [0.8,0.48] recall 0.58 [0.84,0.32] recall 0.54 [0.8,0.28] recall 0.6 [0.88,0.32] recall 0.5 [0.72,0.28] recall 0.5 [0.68,0.32] recall 0.56 [0.88,0.24] recall 0.58 [0.8,0.36] recall 0.62 [0.96,0.28] recall 0.56 [0.92,0.2] recall 0.62 [0.96,0.28] recall 0.46 [0.64,0.28] recall 0.46 [0.72,0.2] recall 0.58 [0.961538,0.166667] recall 0.6 [0.8,0.4] recall 0.56 [0.730769,0.375] recall 0.46 [0.692308,0.208333] recall 0.54 [0.84,0.24] recall 0.46 [0.615385,0.291667] recall 0.54 [0.92,0.16] recall 0.56 [0.96,0.16] recall 0.44 [0.84,0.04] recall 0.62 [1,0.24] recall 0.58 [0.769231,0.375] recall 0.56 [0.84,0.28] recall 0.66 [0.846154,0.458333] recall 0.54 [0.807692,0.25] recall 0.52 [0.76,0.28] recall 0.58 [0.884615,0.25] recall 0.54 [0.8,0.28] recall 0.54 [0.84,0.24] recall 0.56 [0.88,0.24] recall 0.52 [0.76,0.28] recall 0.58 [0.807692,0.333333] recall 0.56 [0.92,0.2] recall 0.54 [0.730769,0.333333] recall 0.56 [1,0.083333] recall 0.6 [0.76,0.44] recall 0.44 [0.692308,0.166667] recall 0.52 [0.88,0.16] recall 0.5 [0.64,0.36] recall 0.56 [0.6,0.52] recall 0.52 [0.96,0.08] recall 0.52 [0.730769,0.291667] recall 0.5 [0.68,0.32] recall 0.48 [0.730769,0.208333] recall 0.48 [0.653846,0.291667] recall 0.62 [0.96,0.28] recall 0.54 [0.884615,0.166667] recall 0.58 [0.8,0.36] relative_absolute_error 0.999572 relative_absolute_error 1.002914 relative_absolute_error 0.997389 relative_absolute_error 0.997855 relative_absolute_error 0.993104 relative_absolute_error 0.996912 relative_absolute_error 0.995503 relative_absolute_error 1.005876 relative_absolute_error 1.002186 relative_absolute_error 0.99226 relative_absolute_error 1.005562 relative_absolute_error 1.004023 relative_absolute_error 0.990059 relative_absolute_error 0.997796 relative_absolute_error 0.996566 relative_absolute_error 0.995799 relative_absolute_error 0.997619 relative_absolute_error 0.992042 relative_absolute_error 0.994654 relative_absolute_error 1.002006 relative_absolute_error 0.997813 relative_absolute_error 1.001767 relative_absolute_error 0.99308 relative_absolute_error 0.991914 relative_absolute_error 0.992438 relative_absolute_error 0.998743 relative_absolute_error 0.999918 relative_absolute_error 0.998481 relative_absolute_error 0.982418 relative_absolute_error 1.000194 relative_absolute_error 0.997149 relative_absolute_error 0.99031 relative_absolute_error 0.995724 relative_absolute_error 0.992589 relative_absolute_error 0.999351 relative_absolute_error 1.000978 relative_absolute_error 0.996174 relative_absolute_error 0.994085 relative_absolute_error 1.002123 relative_absolute_error 0.997914 relative_absolute_error 0.990644 relative_absolute_error 0.994679 relative_absolute_error 1.001658 relative_absolute_error 1.007 relative_absolute_error 1.004487 relative_absolute_error 0.99469 relative_absolute_error 0.997018 relative_absolute_error 0.997403 relative_absolute_error 1.000191 relative_absolute_error 0.998136 relative_absolute_error 0.983025 relative_absolute_error 0.996035 relative_absolute_error 1.007676 relative_absolute_error 0.989801 relative_absolute_error 1.001622 relative_absolute_error 0.995738 relative_absolute_error 0.995054 relative_absolute_error 0.988674 relative_absolute_error 0.992319 relative_absolute_error 0.9975 relative_absolute_error 0.989051 relative_absolute_error 0.998848 relative_absolute_error 0.999865 relative_absolute_error 0.995082 relative_absolute_error 0.99067 relative_absolute_error 0.99212 relative_absolute_error 1.002474 relative_absolute_error 0.998304 relative_absolute_error 1.011438 relative_absolute_error 1.000267 relative_absolute_error 0.99637 relative_absolute_error 1.004216 relative_absolute_error 0.994309 relative_absolute_error 0.996279 relative_absolute_error 0.99192 relative_absolute_error 0.993332 relative_absolute_error 1.00043 relative_absolute_error 0.998975 relative_absolute_error 0.998437 relative_absolute_error 0.993221 relative_absolute_error 0.998962 relative_absolute_error 0.992616 relative_absolute_error 0.997404 relative_absolute_error 0.994425 relative_absolute_error 0.997 relative_absolute_error 0.996418 relative_absolute_error 0.998554 relative_absolute_error 0.99656 relative_absolute_error 1.005201 relative_absolute_error 0.997187 relative_absolute_error 1.000011 relative_absolute_error 0.989243 relative_absolute_error 0.998988 relative_absolute_error 0.998554 relative_absolute_error 0.998777 relative_absolute_error 1.004205 relative_absolute_error 1.03302 relative_absolute_error 0.993501 relative_absolute_error 0.996589 relative_absolute_error 0.995513 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_prior_squared_error 0.499745 root_mean_prior_squared_error 0.500063 root_mean_squared_error 0.500065 root_mean_squared_error 0.50213 root_mean_squared_error 0.498824 root_mean_squared_error 0.499096 root_mean_squared_error 0.496689 root_mean_squared_error 0.498606 root_mean_squared_error 0.49793 root_mean_squared_error 0.503469 root_mean_squared_error 0.502016 root_mean_squared_error 0.49622 root_mean_squared_error 0.503152 root_mean_squared_error 0.50247 root_mean_squared_error 0.495125 root_mean_squared_error 0.49969 root_mean_squared_error 0.498912 root_mean_squared_error 0.498015 root_mean_squared_error 0.498943 root_mean_squared_error 0.496245 root_mean_squared_error 0.49807 root_mean_squared_error 0.501169 root_mean_squared_error 0.500303 root_mean_squared_error 0.501285 root_mean_squared_error 0.496679 root_mean_squared_error 0.496695 root_mean_squared_error 0.496129 root_mean_squared_error 0.500009 root_mean_squared_error 0.500091 root_mean_squared_error 0.499959 root_mean_squared_error 0.491696 root_mean_squared_error 0.500687 root_mean_squared_error 0.498796 root_mean_squared_error 0.495077 root_mean_squared_error 0.498156 root_mean_squared_error 0.496623 root_mean_squared_error 0.49975 root_mean_squared_error 0.50104 root_mean_squared_error 0.498236 root_mean_squared_error 0.496901 root_mean_squared_error 0.501718 root_mean_squared_error 0.499447 root_mean_squared_error 0.495521 root_mean_squared_error 0.49941 root_mean_squared_error 0.50135 root_mean_squared_error 0.504994 root_mean_squared_error 0.502896 root_mean_squared_error 0.498118 root_mean_squared_error 0.498767 root_mean_squared_error 0.499369 root_mean_squared_error 0.500365 root_mean_squared_error 0.499361 root_mean_squared_error 0.492088 root_mean_squared_error 0.499386 root_mean_squared_error 0.505151 root_mean_squared_error 0.495387 root_mean_squared_error 0.501316 root_mean_squared_error 0.498229 root_mean_squared_error 0.497756 root_mean_squared_error 0.494997 root_mean_squared_error 0.496403 root_mean_squared_error 0.499016 root_mean_squared_error 0.494997 root_mean_squared_error 0.501141 root_mean_squared_error 0.50066 root_mean_squared_error 0.497476 root_mean_squared_error 0.496886 root_mean_squared_error 0.496766 root_mean_squared_error 0.501183 root_mean_squared_error 0.499694 root_mean_squared_error 0.506764 root_mean_squared_error 0.500389 root_mean_squared_error 0.498316 root_mean_squared_error 0.502795 root_mean_squared_error 0.49732 root_mean_squared_error 0.498514 root_mean_squared_error 0.496858 root_mean_squared_error 0.496484 root_mean_squared_error 0.500162 root_mean_squared_error 0.500002 root_mean_squared_error 0.49898 root_mean_squared_error 0.497082 root_mean_squared_error 0.499574 root_mean_squared_error 0.496648 root_mean_squared_error 0.499004 root_mean_squared_error 0.49736 root_mean_squared_error 0.498884 root_mean_squared_error 0.498853 root_mean_squared_error 0.499037 root_mean_squared_error 0.498729 root_mean_squared_error 0.503458 root_mean_squared_error 0.499473 root_mean_squared_error 0.50035 root_mean_squared_error 0.495385 root_mean_squared_error 0.499675 root_mean_squared_error 0.499246 root_mean_squared_error 0.499524 root_mean_squared_error 0.5024 root_mean_squared_error 0.519809 root_mean_squared_error 0.49689 root_mean_squared_error 0.498208 root_mean_squared_error 0.497971 root_relative_squared_error 1.000641 root_relative_squared_error 1.004773 root_relative_squared_error 0.998158 root_relative_squared_error 0.998064 root_relative_squared_error 0.993886 root_relative_squared_error 0.997085 root_relative_squared_error 0.995734 root_relative_squared_error 1.007453 root_relative_squared_error 1.003905 root_relative_squared_error 0.992947 root_relative_squared_error 1.006817 root_relative_squared_error 1.005454 root_relative_squared_error 0.990757 root_relative_squared_error 0.999252 root_relative_squared_error 0.998334 root_relative_squared_error 0.995904 root_relative_squared_error 0.997759 root_relative_squared_error 0.992996 root_relative_squared_error 0.996015 root_relative_squared_error 1.002849 root_relative_squared_error 1.001117 root_relative_squared_error 1.003082 root_relative_squared_error 0.993866 root_relative_squared_error 0.993265 root_relative_squared_error 0.992765 root_relative_squared_error 0.999892 root_relative_squared_error 1.000055 root_relative_squared_error 1.000429 root_relative_squared_error 0.983267 root_relative_squared_error 1.001885 root_relative_squared_error 0.998102 root_relative_squared_error 0.99066 root_relative_squared_error 0.99682 root_relative_squared_error 0.993121 root_relative_squared_error 1.00001 root_relative_squared_error 1.001952 root_relative_squared_error 0.996346 root_relative_squared_error 0.994309 root_relative_squared_error 1.003309 root_relative_squared_error 0.999404 root_relative_squared_error 0.990917 root_relative_squared_error 0.998693 root_relative_squared_error 1.002573 root_relative_squared_error 1.009861 root_relative_squared_error 1.005664 root_relative_squared_error 0.99611 root_relative_squared_error 0.997408 root_relative_squared_error 0.998612 root_relative_squared_error 1.000603 root_relative_squared_error 0.998595 root_relative_squared_error 0.984051 root_relative_squared_error 0.998645 root_relative_squared_error 1.010173 root_relative_squared_error 0.990648 root_relative_squared_error 1.002505 root_relative_squared_error 0.996331 root_relative_squared_error 0.995387 root_relative_squared_error 0.989868 root_relative_squared_error 0.992679 root_relative_squared_error 0.997905 root_relative_squared_error 0.989867 root_relative_squared_error 1.002155 root_relative_squared_error 1.001192 root_relative_squared_error 0.99546 root_relative_squared_error 0.993647 root_relative_squared_error 0.994039 root_relative_squared_error 1.002879 root_relative_squared_error 0.999261 root_relative_squared_error 1.014047 root_relative_squared_error 1.000652 root_relative_squared_error 0.996506 root_relative_squared_error 1.005462 root_relative_squared_error 0.994514 root_relative_squared_error 0.997538 root_relative_squared_error 0.993591 root_relative_squared_error 0.993476 root_relative_squared_error 1.000834 root_relative_squared_error 0.999876 root_relative_squared_error 0.99847 root_relative_squared_error 0.994039 root_relative_squared_error 0.99902 root_relative_squared_error 0.993169 root_relative_squared_error 0.997881 root_relative_squared_error 0.995228 root_relative_squared_error 0.997641 root_relative_squared_error 0.998216 root_relative_squared_error 0.998583 root_relative_squared_error 0.997331 root_relative_squared_error 1.00743 root_relative_squared_error 0.998819 root_relative_squared_error 1.000572 root_relative_squared_error 0.990645 root_relative_squared_error 0.999224 root_relative_squared_error 0.999002 root_relative_squared_error 0.998921 root_relative_squared_error 1.005313 root_relative_squared_error 1.040148 root_relative_squared_error 0.993654 root_relative_squared_error 0.996926 root_relative_squared_error 0.995816 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 150 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 190 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 160 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 150 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 140 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 140 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 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 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 140 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 180 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usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 70 usercpu_time_millis_training 130 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 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