210196 2 Joaquin Vanschoren 4562 Supervised Classification predictive_accuracy 1182 weka.AdaBoostM1_DecisionStump(12) 2030 weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 160 -W weka.classifiers.trees.DecisionStump P 100 1182 S 1 1182 I 160 1182 W weka.classifiers.trees.DecisionStump 1182 weka weka_3.7.12 994 vehicle https://www.openml.org/data/download/53528/vehicle.arff -1 698141 description https://api.openml.org/data/download/698141/weka_generated_run6296180001486960868.xml -1 698144 model_readable https://api.openml.org/data/download/698144/WekaModel_weka.classifiers.meta.AdaBoostM1820802614670129985.model -1 698143 model_serialized https://api.openml.org/data/download/698143/WekaSerialized_weka.classifiers.meta.AdaBoostM18179448490882608779.model -1 698142 predictions https://api.openml.org/data/download/698142/weka_generated_predictions6009239693687925323.arff area_under_roc_curve 0.995251 [0.995251,0.995251] average_cost 0 f_measure 0.977771 [0.956841,0.985037] kappa 0.941878 kb_relative_information_score 7817.600923 mean_absolute_error 0.027128 mean_prior_absolute_error 0.382842 number_of_instances 8460 [2180,6280] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.977765 [0.957721,0.984723] predictive_accuracy 0.977778 prior_entropy 0.824101 recall 0.977778 [0.955963,0.98535] relative_absolute_error 0.07086 root_mean_prior_squared_error 0.437359 root_mean_squared_error 0.136619 root_relative_squared_error 0.312373 scimark_benchmark 1333.579873 [787.1121737118738, 1005.1929850806725, 544.2178393368769, 1111.2505451599056, 3220.1258241882724] total_cost 0 usercpu_time_millis 390 usercpu_time_millis_testing 10 usercpu_time_millis_training 380 area_under_roc_curve 0.99062 [0.99062,0.99062] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.999278 [0.999278,0.999278] area_under_roc_curve 0.986652 [0.986652,0.986652] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 0.996392 [0.996392,0.996392] area_under_roc_curve 0.994949 [0.994949,0.994949] area_under_roc_curve 0.997114 [0.997114,0.997114] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.998557 [0.998557,0.998557] area_under_roc_curve 0.988456 [0.988456,0.988456] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.991342 [0.991342,0.991342] area_under_roc_curve 0.998557 [0.998557,0.998557] area_under_roc_curve 0.992785 [0.992785,0.992785] area_under_roc_curve 0.997114 [0.997114,0.997114] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.999278 [0.999278,0.999278] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.982684 [0.982684,0.982684] area_under_roc_curve 0.994949 [0.994949,0.994949] area_under_roc_curve 0.998557 [0.998557,0.998557] area_under_roc_curve 0.991342 [0.991342,0.991342] area_under_roc_curve 0.997114 [0.997114,0.997114] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.995671 [0.995671,0.995671] area_under_roc_curve 0.997114 [0.997114,0.997114] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 0.998557 [0.998557,0.998557] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 0.989899 [0.989899,0.989899] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 0.992063 [0.992063,0.992063] area_under_roc_curve 0.984848 [0.984848,0.984848] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.984127 [0.984127,0.984127] area_under_roc_curve 0.996392 [0.996392,0.996392] area_under_roc_curve 0.996392 [0.996392,0.996392] area_under_roc_curve 0.994228 [0.994228,0.994228] area_under_roc_curve 0.999278 [0.999278,0.999278] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.994949 [0.994949,0.994949] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.991342 [0.991342,0.991342] area_under_roc_curve 0.999278 [0.999278,0.999278] area_under_roc_curve 0.999278 [0.999278,0.999278] area_under_roc_curve 0.983405 [0.983405,0.983405] area_under_roc_curve 0.999278 [0.999278,0.999278] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.99062 [0.99062,0.99062] area_under_roc_curve 0.997835 [0.997835,0.997835] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.977273 [0.977273,0.977273] area_under_roc_curve 0.998557 [0.998557,0.998557] area_under_roc_curve 0.993953 [0.993953,0.993953] area_under_roc_curve 0.995465 [0.995465,0.995465] area_under_roc_curve 0.983871 [0.983871,0.983871] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.998534 [0.998534,0.998534] area_under_roc_curve 0.995465 [0.995465,0.995465] area_under_roc_curve 0.999244 [0.999244,0.999244] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.996221 [0.996221,0.996221] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.999244 [0.999244,0.999244] area_under_roc_curve 0.999267 [0.999267,0.999267] area_under_roc_curve 0.998488 [0.998488,0.998488] area_under_roc_curve 0.992669 [0.992669,0.992669] area_under_roc_curve 0.993197 [0.993197,0.993197] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.99093 [0.99093,0.99093] area_under_roc_curve 0.981859 [0.981859,0.981859] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.98717 [0.98717,0.98717] area_under_roc_curve 0.997067 [0.997067,0.997067] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.994868 [0.994868,0.994868] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.996334 [0.996334,0.996334] area_under_roc_curve 0.998534 [0.998534,0.998534] area_under_roc_curve 0.997801 [0.997801,0.997801] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.991935 [0.991935,0.991935] area_under_roc_curve 0.999267 [0.999267,0.999267] area_under_roc_curve 0.98827 [0.98827,0.98827] area_under_roc_curve 0.999244 [0.999244,0.999244] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.996977 [0.996977,0.996977] area_under_roc_curve 0.997801 [0.997801,0.997801] area_under_roc_curve 0.998534 [0.998534,0.998534] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.990469 [0.990469,0.990469] area_under_roc_curve 0.98827 [0.98827,0.98827] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.953585 [0.913043,0.967742] f_measure 0.976094 [0.952381,0.984375] f_measure 0.976471 [0.954545,0.984127] f_measure 0.976094 [0.952381,0.984375] f_measure 0.976471 [0.954545,0.984127] f_measure 0.976471 [0.954545,0.984127] f_measure 0.976471 [0.954545,0.984127] f_measure 0.976471 [0.954545,0.984127] f_measure 0.964434 [0.930233,0.976378] f_measure 0.988319 [0.977778,0.992] f_measure 0.976471 [0.954545,0.984127] f_measure 0.965402 [0.93617,0.97561] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.953585 [0.913043,0.967742] f_measure 0.988319 [0.977778,0.992] f_measure 0.976094 [0.952381,0.984375] f_measure 0.976792 [0.956522,0.983871] f_measure 0.988145 [0.976744,0.992126] f_measure 1 [1,1] f_measure 0.988319 [0.977778,0.992] f_measure 1 [1,1] f_measure 1 [1,1] f_measure 0.929412 [0.863636,0.952381] f_measure 0.988145 [0.976744,0.992126] f_measure 0.976471 [0.954545,0.984127] f_measure 0.976471 [0.954545,0.984127] f_measure 0.988145 [0.976744,0.992126] f_measure 0.988319 [0.977778,0.992] f_measure 0.976094 [0.952381,0.984375] f_measure 0.988319 [0.977778,0.992] f_measure 0.976471 [0.954545,0.984127] f_measure 0.988145 [0.976744,0.992126] f_measure 0.976094 [0.952381,0.984375] f_measure 0.976792 [0.956522,0.983871] f_measure 0.965402 [0.93617,0.97561] f_measure 0.964957 [0.933333,0.976] f_measure 0.976471 [0.954545,0.984127] f_measure 1 [1,1] f_measure 0.965402 [0.93617,0.97561] f_measure 0.964434 [0.930233,0.976378] f_measure 0.976792 [0.956522,0.983871] f_measure 0.952941 [0.909091,0.968254] f_measure 0.976094 [0.952381,0.984375] f_measure 0.988145 [0.976744,0.992126] f_measure 0.976094 [0.952381,0.984375] f_measure 0.964957 [0.933333,0.976] f_measure 0.988145 [0.976744,0.992126] f_measure 1 [1,1] f_measure 0.952941 [0.909091,0.968254] f_measure 0.988145 [0.976744,0.992126] f_measure 0.988319 [0.977778,0.992] f_measure 0.953585 [0.913043,0.967742] f_measure 0.988145 [0.976744,0.992126] f_measure 1 [1,1] f_measure 0.988319 [0.977778,0.992] f_measure 0.976471 [0.954545,0.984127] f_measure 0.976094 [0.952381,0.984375] f_measure 0.976094 [0.952381,0.984375] f_measure 0.976471 [0.954545,0.984127] f_measure 0.952381 [0.904762,0.968254] f_measure 0.975781 [0.95,0.984375] f_measure 0.964013 [0.930233,0.976] f_measure 0.963327 [0.923077,0.976744] f_measure 0.976513 [0.956522,0.983607] f_measure 0.975781 [0.95,0.984375] f_measure 0.988186 [0.976744,0.992] f_measure 1 [1,1] f_measure 0.97654 [0.954545,0.983871] f_measure 0.987997 [0.97561,0.992126] f_measure 0.988186 [0.976744,0.992] f_measure 0.987997 [0.97561,0.992126] f_measure 0.988004 [0.976744,0.992] f_measure 0.97654 [0.954545,0.983871] f_measure 0.952381 [0.909091,0.967742] f_measure 0.988186 [0.976744,0.992] f_measure 1 [1,1] f_measure 0.963991 [0.926829,0.976378] f_measure 0.965041 [0.933333,0.97561] f_measure 0.987997 [0.97561,0.992126] f_measure 0.951625 [0.904762,0.968254] f_measure 0.97619 [0.954545,0.983871] f_measure 0.965041 [0.933333,0.97561] f_measure 0.964537 [0.933333,0.97561] f_measure 1 [1,1] f_measure 0.988004 [0.976744,0.992] f_measure 0.97619 [0.954545,0.983871] f_measure 0.988179 [0.977778,0.99187] f_measure 1 [1,1] f_measure 0.97619 [0.954545,0.983871] f_measure 0.97619 [0.954545,0.983871] f_measure 0.975813 [0.952381,0.984127] f_measure 0.97619 [0.952381,0.984127] f_measure 0.976513 [0.956522,0.983607] f_measure 0.963327 [0.923077,0.976744] f_measure 0.964013 [0.930233,0.976] f_measure 0.964537 [0.933333,0.97561] f_measure 1 [1,1] f_measure 0.951625 [0.904762,0.968254] f_measure 0.975813 [0.952381,0.984127] kappa 0.880869 kappa 0.936803 kappa 0.938672 kappa 0.936803 kappa 0.938672 kappa 0.938672 kappa 0.938672 kappa 0.938672 kappa 0.906628 kappa 0.969783 kappa 0.938672 kappa 0.911917 kappa 1 kappa 1 kappa 0.880869 kappa 0.969783 kappa 0.936803 kappa 0.940434 kappa 0.968876 kappa 1 kappa 0.969783 kappa 1 kappa 1 kappa 0.816017 kappa 0.968876 kappa 0.938672 kappa 0.938672 kappa 0.968876 kappa 0.969783 kappa 0.936803 kappa 0.969783 kappa 0.938672 kappa 0.968876 kappa 0.936803 kappa 0.940434 kappa 0.911917 kappa 0.909349 kappa 0.938672 kappa 1 kappa 0.911917 kappa 0.906628 kappa 0.940434 kappa 0.877345 kappa 0.936803 kappa 0.968876 kappa 0.936803 kappa 0.909349 kappa 0.968876 kappa 1 kappa 0.877345 kappa 0.968876 kappa 0.969783 kappa 0.880869 kappa 0.968876 kappa 1 kappa 0.969783 kappa 0.938672 kappa 0.936803 kappa 0.936803 kappa 0.938672 kappa 0.873016 kappa 0.934426 kappa 0.90625 kappa 0.9 kappa 0.940171 kappa 0.934426 kappa 0.96875 kappa 1 kappa 0.938462 kappa 0.967742 kappa 0.96875 kappa 0.967742 kappa 0.96875 kappa 0.938462 kappa 0.876833 kappa 0.96875 kappa 1 kappa 0.903226 kappa 0.909091 kappa 0.967742 kappa 0.873112 kappa 0.938416 kappa 0.909091 kappa 0.90896 kappa 1 kappa 0.96875 kappa 0.938416 kappa 0.969653 kappa 1 kappa 0.938416 kappa 0.938416 kappa 0.936556 kappa 0.936508 kappa 0.940171 kappa 0.9 kappa 0.90625 kappa 0.90896 kappa 1 kappa 0.873112 kappa 0.936556 kb_relative_information_score 76.104156 kb_relative_information_score 79.339606 kb_relative_information_score 79.778422 kb_relative_information_score 77.466069 kb_relative_information_score 78.101155 kb_relative_information_score 78.74573 kb_relative_information_score 78.156891 kb_relative_information_score 79.638679 kb_relative_information_score 76.378822 kb_relative_information_score 81.26554 kb_relative_information_score 79.742793 kb_relative_information_score 76.666811 kb_relative_information_score 82.668168 kb_relative_information_score 82.278402 kb_relative_information_score 73.603308 kb_relative_information_score 80.3942 kb_relative_information_score 79.044277 kb_relative_information_score 77.937138 kb_relative_information_score 81.063711 kb_relative_information_score 84.829513 kb_relative_information_score 80.501723 kb_relative_information_score 80.791594 kb_relative_information_score 83.454794 kb_relative_information_score 69.98855 kb_relative_information_score 81.793308 kb_relative_information_score 80.741408 kb_relative_information_score 77.399799 kb_relative_information_score 81.689812 kb_relative_information_score 78.042983 kb_relative_information_score 77.33829 kb_relative_information_score 80.263134 kb_relative_information_score 78.22025 kb_relative_information_score 79.817031 kb_relative_information_score 78.873203 kb_relative_information_score 78.379361 kb_relative_information_score 77.179953 kb_relative_information_score 76.499393 kb_relative_information_score 78.279296 kb_relative_information_score 83.730095 kb_relative_information_score 75.726299 kb_relative_information_score 77.749358 kb_relative_information_score 79.069581 kb_relative_information_score 74.614195 kb_relative_information_score 78.340397 kb_relative_information_score 82.395592 kb_relative_information_score 78.880307 kb_relative_information_score 77.905951 kb_relative_information_score 79.518303 kb_relative_information_score 83.421892 kb_relative_information_score 73.050119 kb_relative_information_score 80.663591 kb_relative_information_score 81.31757 kb_relative_information_score 72.315023 kb_relative_information_score 81.665576 kb_relative_information_score 83.390632 kb_relative_information_score 81.566973 kb_relative_information_score 78.283172 kb_relative_information_score 78.346005 kb_relative_information_score 78.725925 kb_relative_information_score 79.021304 kb_relative_information_score 71.451767 kb_relative_information_score 76.150605 kb_relative_information_score 72.976287 kb_relative_information_score 74.675497 kb_relative_information_score 76.918124 kb_relative_information_score 71.98174 kb_relative_information_score 78.522029 kb_relative_information_score 81.401912 kb_relative_information_score 75.61388 kb_relative_information_score 78.08165 kb_relative_information_score 79.582304 kb_relative_information_score 78.689611 kb_relative_information_score 79.303102 kb_relative_information_score 75.346749 kb_relative_information_score 72.512775 kb_relative_information_score 75.13196 kb_relative_information_score 81.044093 kb_relative_information_score 72.690424 kb_relative_information_score 73.040243 kb_relative_information_score 79.270967 kb_relative_information_score 73.035432 kb_relative_information_score 78.525651 kb_relative_information_score 75.238043 kb_relative_information_score 76.892098 kb_relative_information_score 78.71967 kb_relative_information_score 79.903524 kb_relative_information_score 77.994366 kb_relative_information_score 80.514122 kb_relative_information_score 82.868953 kb_relative_information_score 77.8306 kb_relative_information_score 79.892743 kb_relative_information_score 78.145997 kb_relative_information_score 77.021726 kb_relative_information_score 75.929398 kb_relative_information_score 74.010234 kb_relative_information_score 76.543454 kb_relative_information_score 77.247032 kb_relative_information_score 80.014755 kb_relative_information_score 70.871145 kb_relative_information_score 79.861132 mean_absolute_error 0.03567 mean_absolute_error 0.025302 mean_absolute_error 0.022215 mean_absolute_error 0.032266 mean_absolute_error 0.031452 mean_absolute_error 0.027775 mean_absolute_error 0.029802 mean_absolute_error 0.022771 mean_absolute_error 0.035525 mean_absolute_error 0.015964 mean_absolute_error 0.022403 mean_absolute_error 0.033802 mean_absolute_error 0.013692 mean_absolute_error 0.013326 mean_absolute_error 0.047034 mean_absolute_error 0.022794 mean_absolute_error 0.025225 mean_absolute_error 0.029894 mean_absolute_error 0.019901 mean_absolute_error 0.00171 mean_absolute_error 0.020486 mean_absolute_error 0.020738 mean_absolute_error 0.010137 mean_absolute_error 0.062534 mean_absolute_error 0.014398 mean_absolute_error 0.018925 mean_absolute_error 0.031391 mean_absolute_error 0.015047 mean_absolute_error 0.029603 mean_absolute_error 0.035489 mean_absolute_error 0.023133 mean_absolute_error 0.028204 mean_absolute_error 0.021463 mean_absolute_error 0.026126 mean_absolute_error 0.028356 mean_absolute_error 0.030832 mean_absolute_error 0.034921 mean_absolute_error 0.029956 mean_absolute_error 0.005764 mean_absolute_error 0.038598 mean_absolute_error 0.032089 mean_absolute_error 0.026136 mean_absolute_error 0.040971 mean_absolute_error 0.028786 mean_absolute_error 0.013869 mean_absolute_error 0.026226 mean_absolute_error 0.029786 mean_absolute_error 0.023487 mean_absolute_error 0.009215 mean_absolute_error 0.050864 mean_absolute_error 0.020333 mean_absolute_error 0.017307 mean_absolute_error 0.050847 mean_absolute_error 0.014555 mean_absolute_error 0.006834 mean_absolute_error 0.01575 mean_absolute_error 0.02982 mean_absolute_error 0.02864 mean_absolute_error 0.027272 mean_absolute_error 0.024363 mean_absolute_error 0.046551 mean_absolute_error 0.028695 mean_absolute_error 0.048794 mean_absolute_error 0.034748 mean_absolute_error 0.032855 mean_absolute_error 0.045778 mean_absolute_error 0.019248 mean_absolute_error 0.008145 mean_absolute_error 0.030593 mean_absolute_error 0.024139 mean_absolute_error 0.013797 mean_absolute_error 0.017656 mean_absolute_error 0.023892 mean_absolute_error 0.03085 mean_absolute_error 0.05003 mean_absolute_error 0.033985 mean_absolute_error 0.007562 mean_absolute_error 0.040916 mean_absolute_error 0.038661 mean_absolute_error 0.018515 mean_absolute_error 0.047392 mean_absolute_error 0.025573 mean_absolute_error 0.029089 mean_absolute_error 0.033116 mean_absolute_error 0.019205 mean_absolute_error 0.019271 mean_absolute_error 0.026767 mean_absolute_error 0.018892 mean_absolute_error 0.010117 mean_absolute_error 0.029984 mean_absolute_error 0.021229 mean_absolute_error 0.027928 mean_absolute_error 0.023444 mean_absolute_error 0.03458 mean_absolute_error 0.03593 mean_absolute_error 0.032838 mean_absolute_error 0.029288 mean_absolute_error 0.020387 mean_absolute_error 0.060094 mean_absolute_error 0.021419 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.383393 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.379127 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 mean_prior_absolute_error 0.384883 number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 85 [22,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [21,63] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] number_of_instances 84 [22,62] precision 0.955497 [0.875,0.983607] precision 0.977195 [1,0.969231] precision 0.976471 [0.954545,0.984127] precision 0.977195 [1,0.969231] precision 0.976471 [0.954545,0.984127] precision 0.976471 [0.954545,0.984127] precision 0.976471 [0.954545,0.984127] precision 0.976471 [0.954545,0.984127] precision 0.964513 [0.952381,0.96875] precision 0.988747 [0.956522,1] precision 0.976471 [0.954545,0.984127] precision 0.968941 [0.88,1] precision 1 [1,1] precision 1 [1,1] precision 0.955497 [0.875,0.983607] precision 0.988747 [0.956522,1] precision 0.977195 [1,0.969231] precision 0.978431 [0.916667,1] precision 0.988419 [1,0.984375] precision 1 [1,1] precision 0.988747 [0.956522,1] precision 1 [1,1] precision 1 [1,1] precision 0.929412 [0.863636,0.952381] precision 0.988419 [1,0.984375] precision 0.976471 [0.954545,0.984127] precision 0.976471 [0.954545,0.984127] precision 0.988419 [1,0.984375] precision 0.988747 [0.956522,1] precision 0.977195 [1,0.969231] precision 0.988747 [0.956522,1] precision 0.976471 [0.954545,0.984127] precision 0.988419 [1,0.984375] precision 0.977195 [1,0.969231] precision 0.978431 [0.916667,1] precision 0.968941 [0.88,1] precision 0.965539 [0.913043,0.983871] precision 0.976471 [0.954545,0.984127] precision 1 [1,1] precision 0.968941 [0.88,1] precision 0.964513 [0.952381,0.96875] precision 0.978431 [0.916667,1] precision 0.952941 [0.909091,0.968254] precision 0.977195 [1,0.969231] precision 0.988419 [1,0.984375] precision 0.977195 [1,0.969231] precision 0.965539 [0.913043,0.983871] precision 0.988419 [1,0.984375] precision 1 [1,1] precision 0.952941 [0.909091,0.968254] precision 0.988419 [1,0.984375] precision 0.988747 [0.956522,1] precision 0.955497 [0.875,0.983607] precision 0.988419 [1,0.984375] precision 1 [1,1] precision 0.988747 [0.956522,1] precision 0.976471 [0.954545,0.984127] precision 0.977195 [1,0.969231] precision 0.977195 [1,0.969231] precision 0.976471 [0.954545,0.984127] precision 0.952381 [0.904762,0.968254] precision 0.976923 [1,0.969231] precision 0.964097 [0.952381,0.968254] precision 0.965909 [1,0.954545] precision 0.978175 [0.916667,1] precision 0.976923 [1,0.969231] precision 0.988636 [0.954545,1] precision 1 [1,1] precision 0.978261 [0.913043,1] precision 0.988281 [1,0.984375] precision 0.988636 [0.954545,1] precision 0.988281 [1,0.984375] precision 0.988284 [1,0.984127] precision 0.978261 [0.913043,1] precision 0.952381 [0.909091,0.967742] precision 0.988636 [0.954545,1] precision 1 [1,1] precision 0.964063 [0.95,0.96875] precision 0.96875 [0.875,1] precision 0.988281 [1,0.984375] precision 0.952307 [0.95,0.953125] precision 0.97619 [0.954545,0.983871] precision 0.96875 [0.875,1] precision 0.965126 [0.913043,0.983607] precision 1 [1,1] precision 0.988284 [1,0.984127] precision 0.97619 [0.954545,0.983871] precision 0.988613 [0.956522,1] precision 1 [1,1] precision 0.97619 [0.954545,0.983871] precision 0.97619 [0.954545,0.983871] precision 0.976935 [1,0.96875] precision 0.97619 [0.952381,0.984127] precision 0.978175 [0.916667,1] precision 0.965909 [1,0.954545] precision 0.964097 [0.952381,0.968254] precision 0.965126 [0.913043,0.983607] precision 1 [1,1] precision 0.952307 [0.95,0.953125] precision 0.976935 [1,0.96875] predictive_accuracy 0.952941 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.964706 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.964706 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.952941 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.988235 predictive_accuracy 1 predictive_accuracy 0.988235 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.929412 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.988235 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.964706 predictive_accuracy 0.964706 predictive_accuracy 0.976471 predictive_accuracy 1 predictive_accuracy 0.964706 predictive_accuracy 0.964706 predictive_accuracy 0.976471 predictive_accuracy 0.952941 predictive_accuracy 0.976471 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.964706 predictive_accuracy 0.988235 predictive_accuracy 1 predictive_accuracy 0.952941 predictive_accuracy 0.988235 predictive_accuracy 0.988235 predictive_accuracy 0.952941 predictive_accuracy 0.988235 predictive_accuracy 1 predictive_accuracy 0.988235 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.976471 predictive_accuracy 0.952381 predictive_accuracy 0.97619 predictive_accuracy 0.964286 predictive_accuracy 0.964286 predictive_accuracy 0.97619 predictive_accuracy 0.97619 predictive_accuracy 0.988095 predictive_accuracy 1 predictive_accuracy 0.97619 predictive_accuracy 0.988095 predictive_accuracy 0.988095 predictive_accuracy 0.988095 predictive_accuracy 0.988095 predictive_accuracy 0.97619 predictive_accuracy 0.952381 predictive_accuracy 0.988095 predictive_accuracy 1 predictive_accuracy 0.964286 predictive_accuracy 0.964286 predictive_accuracy 0.988095 predictive_accuracy 0.952381 predictive_accuracy 0.97619 predictive_accuracy 0.964286 predictive_accuracy 0.964286 predictive_accuracy 1 predictive_accuracy 0.988095 predictive_accuracy 0.97619 predictive_accuracy 0.988095 predictive_accuracy 1 predictive_accuracy 0.97619 predictive_accuracy 0.97619 predictive_accuracy 0.97619 predictive_accuracy 0.97619 predictive_accuracy 0.97619 predictive_accuracy 0.964286 predictive_accuracy 0.964286 predictive_accuracy 0.964286 predictive_accuracy 1 predictive_accuracy 0.952381 predictive_accuracy 0.97619 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 prior_entropy 0.824101 recall 0.952941 [0.954545,0.952381] recall 0.976471 [0.909091,1] recall 0.976471 [0.954545,0.984127] recall 0.976471 [0.909091,1] recall 0.976471 [0.954545,0.984127] recall 0.976471 [0.954545,0.984127] recall 0.976471 [0.954545,0.984127] recall 0.976471 [0.954545,0.984127] recall 0.964706 [0.909091,0.984127] recall 0.988235 [1,0.984127] recall 0.976471 [0.954545,0.984127] recall 0.964706 [1,0.952381] recall 1 [1,1] recall 1 [1,1] recall 0.952941 [0.954545,0.952381] recall 0.988235 [1,0.984127] recall 0.976471 [0.909091,1] recall 0.976471 [1,0.968254] recall 0.988235 [0.954545,1] recall 1 [1,1] recall 0.988235 [1,0.984127] recall 1 [1,1] recall 1 [1,1] recall 0.929412 [0.863636,0.952381] recall 0.988235 [0.954545,1] recall 0.976471 [0.954545,0.984127] recall 0.976471 [0.954545,0.984127] recall 0.988235 [0.954545,1] recall 0.988235 [1,0.984127] recall 0.976471 [0.909091,1] recall 0.988235 [1,0.984127] recall 0.976471 [0.954545,0.984127] recall 0.988235 [0.954545,1] recall 0.976471 [0.909091,1] recall 0.976471 [1,0.968254] recall 0.964706 [1,0.952381] recall 0.964706 [0.954545,0.968254] recall 0.976471 [0.954545,0.984127] recall 1 [1,1] recall 0.964706 [1,0.952381] recall 0.964706 [0.909091,0.984127] recall 0.976471 [1,0.968254] recall 0.952941 [0.909091,0.968254] recall 0.976471 [0.909091,1] recall 0.988235 [0.954545,1] recall 0.976471 [0.909091,1] recall 0.964706 [0.954545,0.968254] recall 0.988235 [0.954545,1] recall 1 [1,1] recall 0.952941 [0.909091,0.968254] recall 0.988235 [0.954545,1] recall 0.988235 [1,0.984127] recall 0.952941 [0.954545,0.952381] recall 0.988235 [0.954545,1] recall 1 [1,1] recall 0.988235 [1,0.984127] recall 0.976471 [0.954545,0.984127] recall 0.976471 [0.909091,1] recall 0.976471 [0.909091,1] recall 0.976471 [0.954545,0.984127] recall 0.952381 [0.904762,0.968254] recall 0.97619 [0.904762,1] recall 0.964286 [0.909091,0.983871] recall 0.964286 [0.857143,1] recall 0.97619 [1,0.967742] recall 0.97619 [0.904762,1] recall 0.988095 [1,0.984127] recall 1 [1,1] recall 0.97619 [1,0.968254] recall 0.988095 [0.952381,1] recall 0.988095 [1,0.984127] recall 0.988095 [0.952381,1] recall 0.988095 [0.954545,1] recall 0.97619 [1,0.968254] recall 0.952381 [0.909091,0.967742] recall 0.988095 [1,0.984127] recall 1 [1,1] recall 0.964286 [0.904762,0.984127] recall 0.964286 [1,0.952381] recall 0.988095 [0.952381,1] recall 0.952381 [0.863636,0.983871] recall 0.97619 [0.954545,0.983871] recall 0.964286 [1,0.952381] recall 0.964286 [0.954545,0.967742] recall 1 [1,1] recall 0.988095 [0.954545,1] recall 0.97619 [0.954545,0.983871] recall 0.988095 [1,0.983871] recall 1 [1,1] recall 0.97619 [0.954545,0.983871] recall 0.97619 [0.954545,0.983871] recall 0.97619 [0.909091,1] recall 0.97619 [0.952381,0.984127] recall 0.97619 [1,0.967742] recall 0.964286 [0.857143,1] recall 0.964286 [0.909091,0.983871] recall 0.964286 [0.954545,0.967742] recall 1 [1,1] recall 0.952381 [0.863636,0.983871] recall 0.97619 [0.909091,1] relative_absolute_error 0.093036 relative_absolute_error 0.065994 relative_absolute_error 0.057942 relative_absolute_error 0.08416 relative_absolute_error 0.082036 relative_absolute_error 0.072444 relative_absolute_error 0.077731 relative_absolute_error 0.059393 relative_absolute_error 0.09266 relative_absolute_error 0.04164 relative_absolute_error 0.058432 relative_absolute_error 0.088165 relative_absolute_error 0.035713 relative_absolute_error 0.034757 relative_absolute_error 0.122679 relative_absolute_error 0.059453 relative_absolute_error 0.065794 relative_absolute_error 0.077971 relative_absolute_error 0.051908 relative_absolute_error 0.004461 relative_absolute_error 0.053434 relative_absolute_error 0.054091 relative_absolute_error 0.02644 relative_absolute_error 0.163107 relative_absolute_error 0.037554 relative_absolute_error 0.049361 relative_absolute_error 0.081876 relative_absolute_error 0.039246 relative_absolute_error 0.077213 relative_absolute_error 0.092566 relative_absolute_error 0.060339 relative_absolute_error 0.073564 relative_absolute_error 0.055983 relative_absolute_error 0.068143 relative_absolute_error 0.073961 relative_absolute_error 0.080419 relative_absolute_error 0.091084 relative_absolute_error 0.078135 relative_absolute_error 0.015035 relative_absolute_error 0.100674 relative_absolute_error 0.083697 relative_absolute_error 0.06817 relative_absolute_error 0.106863 relative_absolute_error 0.075083 relative_absolute_error 0.036174 relative_absolute_error 0.068405 relative_absolute_error 0.077691 relative_absolute_error 0.061262 relative_absolute_error 0.024036 relative_absolute_error 0.132667 relative_absolute_error 0.053034 relative_absolute_error 0.045143 relative_absolute_error 0.132624 relative_absolute_error 0.037963 relative_absolute_error 0.017825 relative_absolute_error 0.041081 relative_absolute_error 0.077779 relative_absolute_error 0.074701 relative_absolute_error 0.071133 relative_absolute_error 0.063544 relative_absolute_error 0.122784 relative_absolute_error 0.075687 relative_absolute_error 0.126775 relative_absolute_error 0.091653 relative_absolute_error 0.085364 relative_absolute_error 0.120745 relative_absolute_error 0.050769 relative_absolute_error 0.021484 relative_absolute_error 0.080694 relative_absolute_error 0.06367 relative_absolute_error 0.03639 relative_absolute_error 0.046569 relative_absolute_error 0.062075 relative_absolute_error 0.08137 relative_absolute_error 0.129987 relative_absolute_error 0.089639 relative_absolute_error 0.019945 relative_absolute_error 0.10792 relative_absolute_error 0.101973 relative_absolute_error 0.048836 relative_absolute_error 0.123134 relative_absolute_error 0.066444 relative_absolute_error 0.076727 relative_absolute_error 0.086042 relative_absolute_error 0.050655 relative_absolute_error 0.050069 relative_absolute_error 0.069545 relative_absolute_error 0.049085 relative_absolute_error 0.026287 relative_absolute_error 0.077903 relative_absolute_error 0.055157 relative_absolute_error 0.072562 relative_absolute_error 0.061838 relative_absolute_error 0.089846 relative_absolute_error 0.094771 relative_absolute_error 0.08532 relative_absolute_error 0.076096 relative_absolute_error 0.05297 relative_absolute_error 0.156136 relative_absolute_error 0.055651 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.437989 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.433091 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_prior_squared_error 0.439686 root_mean_squared_error 0.157768 root_mean_squared_error 0.126288 root_mean_squared_error 0.116224 root_mean_squared_error 0.157082 root_mean_squared_error 0.13469 root_mean_squared_error 0.128084 root_mean_squared_error 0.132466 root_mean_squared_error 0.131981 root_mean_squared_error 0.179027 root_mean_squared_error 0.107489 root_mean_squared_error 0.132281 root_mean_squared_error 0.17689 root_mean_squared_error 0.061641 root_mean_squared_error 0.059014 root_mean_squared_error 0.189987 root_mean_squared_error 0.115585 root_mean_squared_error 0.152131 root_mean_squared_error 0.155866 root_mean_squared_error 0.079844 root_mean_squared_error 0.008288 root_mean_squared_error 0.112864 root_mean_squared_error 0.074548 root_mean_squared_error 0.038335 root_mean_squared_error 0.232591 root_mean_squared_error 0.109012 root_mean_squared_error 0.118388 root_mean_squared_error 0.159058 root_mean_squared_error 0.108887 root_mean_squared_error 0.106992 root_mean_squared_error 0.155984 root_mean_squared_error 0.116717 root_mean_squared_error 0.145755 root_mean_squared_error 0.115838 root_mean_squared_error 0.153279 root_mean_squared_error 0.148862 root_mean_squared_error 0.160511 root_mean_squared_error 0.168301 root_mean_squared_error 0.154475 root_mean_squared_error 0.040367 root_mean_squared_error 0.187319 root_mean_squared_error 0.139218 root_mean_squared_error 0.126933 root_mean_squared_error 0.185045 root_mean_squared_error 0.145075 root_mean_squared_error 0.071415 root_mean_squared_error 0.144968 root_mean_squared_error 0.146987 root_mean_squared_error 0.11611 root_mean_squared_error 0.052415 root_mean_squared_error 0.197541 root_mean_squared_error 0.091179 root_mean_squared_error 0.098569 root_mean_squared_error 0.205522 root_mean_squared_error 0.081414 root_mean_squared_error 0.047911 root_mean_squared_error 0.110482 root_mean_squared_error 0.136744 root_mean_squared_error 0.144205 root_mean_squared_error 0.154232 root_mean_squared_error 0.113617 root_mean_squared_error 0.194267 root_mean_squared_error 0.146427 root_mean_squared_error 0.197067 root_mean_squared_error 0.150376 root_mean_squared_error 0.139406 root_mean_squared_error 0.161739 root_mean_squared_error 0.110967 root_mean_squared_error 0.037205 root_mean_squared_error 0.154305 root_mean_squared_error 0.096693 root_mean_squared_error 0.085661 root_mean_squared_error 0.091479 root_mean_squared_error 0.108426 root_mean_squared_error 0.133524 root_mean_squared_error 0.204432 root_mean_squared_error 0.133387 root_mean_squared_error 0.043494 root_mean_squared_error 0.181049 root_mean_squared_error 0.180604 root_mean_squared_error 0.081156 root_mean_squared_error 0.20054 root_mean_squared_error 0.139288 root_mean_squared_error 0.143847 root_mean_squared_error 0.162066 root_mean_squared_error 0.084073 root_mean_squared_error 0.119505 root_mean_squared_error 0.122134 root_mean_squared_error 0.113895 root_mean_squared_error 0.047565 root_mean_squared_error 0.137425 root_mean_squared_error 0.106172 root_mean_squared_error 0.150801 root_mean_squared_error 0.129248 root_mean_squared_error 0.149683 root_mean_squared_error 0.180357 root_mean_squared_error 0.152287 root_mean_squared_error 0.135756 root_mean_squared_error 0.08067 root_mean_squared_error 0.211271 root_mean_squared_error 0.124501 root_relative_squared_error 0.360209 root_relative_squared_error 0.288337 root_relative_squared_error 0.265359 root_relative_squared_error 0.358644 root_relative_squared_error 0.307519 root_relative_squared_error 0.292437 root_relative_squared_error 0.302441 root_relative_squared_error 0.301335 root_relative_squared_error 0.408748 root_relative_squared_error 0.245415 root_relative_squared_error 0.302018 root_relative_squared_error 0.403868 root_relative_squared_error 0.140737 root_relative_squared_error 0.134738 root_relative_squared_error 0.433772 root_relative_squared_error 0.263898 root_relative_squared_error 0.34734 root_relative_squared_error 0.355868 root_relative_squared_error 0.182298 root_relative_squared_error 0.018922 root_relative_squared_error 0.257686 root_relative_squared_error 0.170206 root_relative_squared_error 0.087526 root_relative_squared_error 0.531044 root_relative_squared_error 0.248892 root_relative_squared_error 0.270299 root_relative_squared_error 0.363154 root_relative_squared_error 0.248606 root_relative_squared_error 0.24428 root_relative_squared_error 0.356136 root_relative_squared_error 0.266483 root_relative_squared_error 0.332782 root_relative_squared_error 0.264478 root_relative_squared_error 0.34996 root_relative_squared_error 0.339875 root_relative_squared_error 0.366473 root_relative_squared_error 0.384259 root_relative_squared_error 0.352692 root_relative_squared_error 0.092164 root_relative_squared_error 0.427679 root_relative_squared_error 0.317857 root_relative_squared_error 0.289808 root_relative_squared_error 0.422489 root_relative_squared_error 0.33123 root_relative_squared_error 0.163053 root_relative_squared_error 0.330985 root_relative_squared_error 0.335596 root_relative_squared_error 0.265099 root_relative_squared_error 0.119672 root_relative_squared_error 0.451017 root_relative_squared_error 0.208177 root_relative_squared_error 0.225049 root_relative_squared_error 0.46924 root_relative_squared_error 0.185881 root_relative_squared_error 0.109388 root_relative_squared_error 0.252249 root_relative_squared_error 0.31221 root_relative_squared_error 0.329242 root_relative_squared_error 0.352137 root_relative_squared_error 0.259407 root_relative_squared_error 0.448559 root_relative_squared_error 0.338097 root_relative_squared_error 0.448198 root_relative_squared_error 0.347215 root_relative_squared_error 0.317058 root_relative_squared_error 0.373452 root_relative_squared_error 0.25622 root_relative_squared_error 0.085905 root_relative_squared_error 0.356288 root_relative_squared_error 0.223262 root_relative_squared_error 0.19779 root_relative_squared_error 0.211224 root_relative_squared_error 0.246599 root_relative_squared_error 0.308305 root_relative_squared_error 0.46495 root_relative_squared_error 0.307989 root_relative_squared_error 0.100426 root_relative_squared_error 0.418038 root_relative_squared_error 0.417011 root_relative_squared_error 0.187389 root_relative_squared_error 0.456097 root_relative_squared_error 0.316789 root_relative_squared_error 0.33214 root_relative_squared_error 0.368596 root_relative_squared_error 0.194123 root_relative_squared_error 0.271795 root_relative_squared_error 0.277775 root_relative_squared_error 0.259036 root_relative_squared_error 0.108178 root_relative_squared_error 0.312553 root_relative_squared_error 0.241473 root_relative_squared_error 0.342973 root_relative_squared_error 0.298431 root_relative_squared_error 0.340432 root_relative_squared_error 0.416441 root_relative_squared_error 0.346353 root_relative_squared_error 0.308756 root_relative_squared_error 0.183472 root_relative_squared_error 0.480504 root_relative_squared_error 0.283158 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 360 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 340 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 340 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 340 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis 360 usercpu_time_millis 350 usercpu_time_millis 350 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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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 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 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usercpu_time_millis_training 350 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 360 usercpu_time_millis_training 360 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 340 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 360 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 usercpu_time_millis_training 350 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