445772 2 Joaquin Vanschoren 1887 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 7 audiology https://www.openml.org/data/download/7/dataset_7_audiology.arff -1 1561717 description https://api.openml.org/data/download/1561717/weka_generated_run6507018856491719419.xml -1 1561720 model_readable https://api.openml.org/data/download/1561720/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1540352034896422221.model -1 1561719 model_serialized https://api.openml.org/data/download/1561719/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE6158458055720883751.model -1 1561718 predictions https://api.openml.org/data/download/1561718/weka_generated_predictions6532635769630459818.arff area_under_roc_curve 0.960511 [0.468444,0.468667,0.994164,0.989135,0.479778,0.907522,0.98466,0.959403,0.938348,0.998098,0.686306,0.959932,0.881094,0.988839,0.999514,0.997743,0.487556,0.995056,0.969661,0.884144,0.487556,0.996689,0.952675,0.710871] average_cost 0 f_measure 0.71209 [0,0,0.925193,0.862302,0,0,0.8125,0.807217,0,0.731707,0,0,0,0,0.786026,0,0,0,0.666667,0,0,0.606061,0.70922,0] kappa 0.707986 kb_relative_information_score 1416.747522 mean_absolute_error 0.022845 mean_prior_absolute_error 0.072392 number_of_instances 2260 [10,10,570,220,10,20,200,480,20,60,20,40,20,20,90,30,10,20,220,40,10,40,80,20] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.682923 [0,0,0.907251,0.856502,0,0,0.782407,0.74171,0,0.576923,0,0,0,0,0.647482,0,0,0,0.618677,0,0,0.769231,0.819672,0] predictive_accuracy 0.753097 prior_entropy 3.634907 recall 0.753097 [0,0,0.94386,0.868182,0,0,0.845,0.885417,0,1,0,0,0,0,1,0,0,0,0.722727,0,0,0.5,0.625,0] relative_absolute_error 0.315569 root_mean_prior_squared_error 0.189308 root_mean_squared_error 0.126574 root_relative_squared_error 0.668614 scimark_benchmark 903.273728 [546.7838898786127, 1013.919993711725, 482.7975877024999, 908.0152143388744, 1564.8519536990664] total_cost 0 usercpu_time_millis 60 usercpu_time_millis_testing 50 usercpu_time_millis_training 10 area_under_roc_curve 0.973916 [0.0,0.0,1,1,0.0,0.977273,0.952381,0.922222,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,0.0,1,0.0] area_under_roc_curve 0.991562 [0.0,0.0,1,1,0.0,0.0,1,0.988889,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.97619,0.909091,0.0,0.0,1,0.0] area_under_roc_curve 0.964552 [0.5,0.0,1,1,0.0,0.0,1,0.955556,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,1,0.0,0.0] area_under_roc_curve 0.966897 [0.0,0.0,0.977778,1,0.0,0.0,0.97619,0.986842,0.0,1,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.983333,0.0,0.0,1,1,0.0] area_under_roc_curve 0.990024 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.954545,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.863636,0.0,0.0,1,1] area_under_roc_curve 0.931658 [0.0,0.0,1,0.966667,0.0,0.0,1,0.833333,0.0,0.0,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.909091,0.0] area_under_roc_curve 0.995859 [0.0,0.0,1,0.952381,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.984636 [0.0,0.0,1,1,0.0,0.0,0.952381,0.947368,0.0,1,0.0,1,0.0,1,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.960067 [0.0,0.0,1,1,0.0,0.0,1,0.844444,1,1,1,0.0,0.954545,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.966874 [0.0,0.0,1,1,0.0,0.0,1,0.866667,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0] area_under_roc_curve 0.974982 [0.0,0.0,0.990196,1,0.0,0.931818,0.952381,0.988889,0.0,0.0,1,0.0,0.977273,0.0,1,0.0,0.0,0.0,0.97619,0.772727,0.0,0.0,1,0.0] area_under_roc_curve 0.991813 [0.0,0.0,1,0.928571,0.0,0.0,1,1,0.954545,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,1] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.988362 [0.0,0.0,0.988889,1,0.0,0.0,1,0.966667,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,0.954545,0.0] area_under_roc_curve 0.97136 [0.0,0.0,1,1,0.0,0.0,1,0.977778,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,1,0.0,0.0,1,0.5] area_under_roc_curve 0.97343 [0.0,0.0,1,1,0.0,0.0,1,0.977778,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,1,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.994871 [0.0,0.0,1,1,0.0,0.977273,0.952381,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.952933 [0.5,0.0,1,0.95,0.0,0.0,1,0.973684,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.966667,0.0,0.0,0.0,0.772727,0.0] area_under_roc_curve 0.971893 [0.0,0.5,1,1,0.0,0.0,1,0.988889,1,0.0,0.0,0.0,0.954545,0.0,1,0.0,0.0,0.0,1,0.954545,0.0,0.0,1,0.0] area_under_roc_curve 0.959957 [0.0,0.0,1,0.952381,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.840909,0.0] area_under_roc_curve 0.932757 [0.0,0.0,0.970588,0.928571,0.0,0.0,1,1,0.0,0.0,0.5,0.0,1,0.0,1,0.0,0.0,0.0,1,0.909091,0.5,0.0,0.863636,0.0] area_under_roc_curve 0.968097 [0.0,0.0,1,0.952381,0.0,0.0,0.97619,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,0.909091,0.5] area_under_roc_curve 0.962671 [0.0,0.0,0.980392,0.95,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.909091,0.5] area_under_roc_curve 0.94686 [0.5,0.5,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.980065 [0.0,0.0,1,0.952381,0.0,0.0,1,0.977778,0.0,1,0.0,0.954545,0.954545,0.0,1,1,0.0,1,0.97619,0.0,0.0,0.0,0.886364,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.992001 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,0.909091,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.954545,0.0] area_under_roc_curve 0.975845 [0.0,0.5,1,1,0.0,0.0,1,0.988889,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.956177 [0.0,0.0,1,0.97619,0.5,1,0.928571,0.955556,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,1,0.0,1,1,0.0] area_under_roc_curve 0.988613 [0.0,0.0,1,1,0.0,0.0,0.952381,0.966667,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.967219 [0.5,0.0,1,1,0.0,0.0,1,0.977778,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.928571,0.0,0.0,1,1,0.0] area_under_roc_curve 0.951932 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.0,0.0,0.5,1,0.0,0.0,0.0,1,0.5,0.0,0.983333,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.988268 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,1,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.977226 [0.0,0.0,1,1,0.0,1,1,0.933333,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.904762,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.990024 [0.0,0.0,1,1,0.0,0.0,1,1,0.954545,1,0.0,0.954545,0.954545,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,0.0,0.954545,0.0] area_under_roc_curve 0.990024 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,0.909091,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.909091,0.0,1,1,0.0] area_under_roc_curve 0.987813 [0.0,0.0,1,1,0.0,0.0,1,0.966667,1,0.0,0.0,0.954545,0.931818,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.969634 [0.0,0.0,1,1,0.0,1,0.952381,0.988889,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.0,0.5,0.0,1,0.0] area_under_roc_curve 0.974591 [0.0,0.0,1,1,0.0,1,0.97619,0.966667,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.928571,0.772727,0.0,1,1,0.0] area_under_roc_curve 0.956522 [0.5,0.0,1,1,0.0,0.0,0.880952,0.966667,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,1,1,0.0] area_under_roc_curve 0.976285 [0.0,0.0,1,1,0.5,0.0,1,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.954545,0.0] area_under_roc_curve 0.978261 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.0,0.0] area_under_roc_curve 0.918422 [0.0,0.0,0.990196,1,0.5,0.0,1,0.855556,1,1,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.974214 [0.0,0.0,1,1,0.0,0.954545,0.97619,1,0.0,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.5] area_under_roc_curve 0.966184 [0.0,0.0,0.988889,1,0.0,0.0,1,0.955556,1,0.0,0.0,1,0.0,1,1,1,0.5,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.979425 [0.0,0.0,1,1,0.0,0.0,1,0.973684,0.954545,1,0.0,0.954545,1,0.0,1,0.0,0.0,0.0,0.952381,0.818182,0.0,0.0,1,0.0] area_under_roc_curve 0.968698 [0.0,0.0,0.990196,0.983333,0.0,0.0,1,0.977778,1,0.0,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.5] area_under_roc_curve 0.912102 [0.0,0.0,1,1,0.5,0.954545,0.952381,0.833333,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,1,0.0,0.0,1,0.5] area_under_roc_curve 0.95549 [0.0,0.0,1,0.95,0.0,0.0,1,0.988889,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.909091,0.5,1,0.772727,0.0] area_under_roc_curve 0.964707 [0.0,0.0,0.980392,1,0.5,0.0,1,0.988889,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.97619,0.909091,0.0,0.0,1,1] area_under_roc_curve 0.964552 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.954545,0.0,0.0,1,0.0,0.5,0.0,0.97619,0.0,0.0,1,1,1] area_under_roc_curve 0.971014 [0.0,0.0,1,1,0.5,0.0,1,0.966667,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.969005 [0.0,0.0,0.980392,1,0.0,1,0.952381,1,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,0.0,1,0.0] area_under_roc_curve 0.974308 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.5,0.0,0.909091,1] area_under_roc_curve 0.939532 [0.0,0.0,0.970588,1,0.0,0.0,1,0.866667,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.97619,0.0,0.5,1,0.0,0.0] area_under_roc_curve 0.98717 [0.0,0.0,0.988889,1,0.0,1,0.97619,0.988889,0.0,1,0.0,0.909091,1,0.0,1,0.0,0.0,0.0,1,0.954545,0.0,0.0,1,0.0] area_under_roc_curve 0.946452 [0.0,0.0,1,1,0.0,0.0,0.904762,0.966667,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,1,0.880952,0.863636,0.0,1,1,1] area_under_roc_curve 0.937071 [0.0,0.0,0.980392,0.97619,0.0,0.0,1,0.944444,0.954545,0.0,0.0,0.0,0.909091,0.0,0.0,0.0,0.5,0.0,0.952381,0.818182,0.0,0.0,0.909091,1] area_under_roc_curve 0.961594 [0.5,0.0,0.966667,0.983333,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.934212 [0.0,0.0,1,1,0.0,0.0,1,0.955556,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.933333,0.909091,0.0,0.0,0.0,0.5] area_under_roc_curve 0.937968 [0.0,0.0,1,1,0.0,0.0,1,0.847059,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.95,0.0,0.0,1,0.0,0.5] area_under_roc_curve 0.922326 [0.5,0.0,1,1,0.0,0.0,1,0.788235,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.925,0.0,0.0,1,1,0.0] area_under_roc_curve 0.987834 [0.0,0.0,1,0.975,0.0,1,0.975,0.976471,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.975,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.931065 [0.0,0.0,0.989583,1,0.0,0.0,1,0.788235,1,0.0,0.0,0.952381,0.0,0.0,1,0.0,0.0,0.0,0.85,0.952381,0.0,0.0,1,0.0] area_under_roc_curve 0.961005 [0.0,0.0,1,1,0.5,0.0,0.9,1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.947368,0.0,0.0,1,1,0.0] area_under_roc_curve 0.930297 [0.0,0.0,0.988235,0.975,0.0,1,0.95,0.894118,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.9,0.904762,0.0,0.0,1,0.5] area_under_roc_curve 0.919417 [0.0,0.0,1,0.95,0.0,0.0,1,0.823529,0.0,0.0,0.5,0.0,0.0,0.0,1,0.0,0.0,1,0.95,1,0.0,1,0.809524,0.0] area_under_roc_curve 0.980952 [0.0,0.0,1,1,0.0,0.0,0.9,1,1,0.0,0.0,0.0,0.97619,0.0,1,0.0,0.0,0.0,0.95,0.904762,0.0,0.0,1,0.0] area_under_roc_curve 0.997835 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,0.952381,0.0,0.0,1,1,0.0,1,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.954628 [0.0,0.5,1,1,0.0,1,0.975,0.929412,0.0,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,0.0,0.0,1,0.952381,0.0,0.0,0.0,0.0] area_under_roc_curve 0.990096 [0.0,0.0,1,1,0.0,0.0,1,0.976471,1,1,0.0,0.952381,0.0,0.0,1,1,0.0,0.0,0.982456,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.992997 [0.0,0.0,1,1,0.0,1,1,0.988235,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.904762,0.0,0.0,1,0.0] area_under_roc_curve 0.94881 [0.0,0.5,1,0.95,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.975,0.952381,0.0,0.0,0.571429,0.0] area_under_roc_curve 0.979577 [0.0,0.0,1,1,0.0,0.0,0.95,0.988235,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.95,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.961739 [0.5,0.0,1,1,0.0,0.0,1,0.941176,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.952381,0.0] area_under_roc_curve 0.969814 [0.0,0.5,1,1,0.0,0.0,1,0.988235,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.964912,0.0,0.0,0.0,1,1] area_under_roc_curve 0.949064 [0.0,0.0,0.952941,1,0.5,0.0,1,0.952941,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.925,1,0.0,0.0,1,0.0] area_under_roc_curve 0.954479 [0.0,0.0,0.979167,1,0.0,0.0,1,0.964706,0.0,0.0,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,0.9,1,0.0,1,1,0.0] area_under_roc_curve 0.949398 [0.0,0.0,0.979167,1,0.0,0.0,0.95,0.882353,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,1,0.85,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.985714 [0.0,0.0,1,1,0.0,0.97619,0.975,1,0.0,0.0,0.0,0.952381,1,0.0,1,0.0,0.0,0.0,0.975,0.857143,0.0,0.0,1,0.0] area_under_roc_curve 0.981315 [0.0,0.0,1,1,0.0,0.0,0.925,0.986111,1,1,0.0,0.952381,0.0,0.0,0.0,1,0.0,0.0,0.947368,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.977137 [0.0,0.0,0.989583,1,0.0,1,0.95,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.925,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.964561 [0.0,0.0,0.988235,1,0.0,0.0,0.975,0.986111,0.0,0.0,0.0,0.952381,0.928571,1,1,0.0,0.0,0.0,0.929825,0.714286,0.0,0.0,1,0.0] area_under_roc_curve 0.935877 [0.0,0.0,0.9375,0.9,0.5,0.0,0.975,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.714286,0.0] area_under_roc_curve 0.975 [0.0,0.5,1,1,0.0,1,0.975,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.94616 [0.0,0.0,0.989583,0.975,0.0,0.0,0.875,0.988235,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.912281,0.0,0.5,0.0,0.0,0.0] area_under_roc_curve 0.935426 [0.0,0.5,0.958333,0.95,0.0,0.0,1,0.930556,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.925,0.904762,0.0,0.0,0.952381,0.0] area_under_roc_curve 0.992997 [0.0,0.0,1,1,0.0,0.0,1,0.988235,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.904762,0.0] area_under_roc_curve 0.954545 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,1,0.0,0.0,0.0,0.0,0.5] area_under_roc_curve 0.997475 [0.0,0.0,1,1,0.0,0.0,1,0.986111,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.974432 [0.0,0.5,0.989583,1,0.0,0.0,1,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.931097 [0.0,0.5,0.958333,0.95,0.0,0.0,0.975,0.930556,0.0,1,0.0,0.0,0.952381,0.0,1,0.0,0.0,0.0,0.95,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.959957 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,0.857143,1,1,0.0,0.0,0.5,0.0,1,0.761905,0.0,0.0,1,0.0] area_under_roc_curve 0.970058 [0.0,0.0,1,1,0.0,0.0,1,0.972222,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1,0.5,0.0,1,0.952381,0.0,1,1,0.0] area_under_roc_curve 0.96912 [0.0,0.0,1,1,0.0,0.97619,0.95,0.986111,0.0,1,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] area_under_roc_curve 0.940842 [0.5,0.0,0.979167,1,0.5,0.0,1,0.964706,0.0,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.929559 [0.5,0.0,1,1,0.0,0.0,1,0.888889,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.964912,0.0,0.5,0.0,1,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.970058 [0.0,0.0,1,1,0.0,0.0,1,0.972222,0.0,1,0.452381,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.965449 [0.0,0.0,0.989583,0.925,0.0,0.0,1,1,0.0,1,0.5,0.952381,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.674268 [0,0,0.923077,0.8,0,0,0.8,0.727273,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.791831 [0,0,1,1,0,0,1,0.909091,0,0.666667,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.613601 [0,0,0.833333,0.8,0,0,1,0.769231,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,0,0] f_measure 0.754796 [0,0,0.8,0.8,0,0,0.666667,0.888889,0,1,0,0,0,0,0.5,0,0,0,0.857143,0,0,1,1,0] f_measure 0.737904 [0,0,0.923077,0.666667,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.704687 [0,0,1,0.857143,0,0,0.666667,0.727273,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,1,0,0] f_measure 0.790752 [0,0,0.857143,0.666667,0,0,0.8,0.888889,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,0,1,0] f_measure 0.693582 [0,0,1,1,0,0,0.666667,0.571429,0,0.666667,0,0,0,0,0.666667,0,0,0,0.5,0,0,1,0,0] f_measure 0.646264 [0,0,0.909091,0.8,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.571429,0,0,0,0,0] f_measure 0.79346 [0,0,0.923077,1,0,0,1,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,1,0,0] f_measure 0.663043 [0,0,0.8,1,0,0,0.8,0.75,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,0.5,0] f_measure 0.74136 [0,0,0.923077,0.666667,0,0,1,0.769231,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.786957 [0,0,1,1,0,0,0.8,0.833333,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.725328 [0,0,0.888889,0.857143,0,0,1,0.8,0,0.666667,0,0,0,0,1,0,0,0,1,0,0,0,0,0] f_measure 0.815942 [0,0,1,1,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.703456 [0,0,1,1,0,0,1,0.769231,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,1,0] f_measure 0.837681 [0,0,1,1,0,0,0.8,1,0,0.666667,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.655807 [0,0,0.909091,0.857143,0,0,0.8,0.8,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,0,0] f_measure 0.806324 [0,0,1,1,0,0,1,0.909091,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.738387 [0,0,0.923077,0.5,0,0,1,0.888889,0,0.666667,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.610628 [0,0,0.833333,0.5,0,0,0.8,0.888889,0,0,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.773021 [0,0,1,0.8,0,0,0.666667,0.769231,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] f_measure 0.76087 [0,0,0.833333,0.666667,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.677019 [0,0,1,1,0,0,1,0.714286,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.649275 [0,0,1,0.8,0,0,0.666667,0.8,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.776812 [0,0,0.909091,0.8,0,0,1,0.909091,0,0,0,0,0,0,0.666667,0,0,0,0.8,0,0,1,1,0] f_measure 0.727759 [0,0,0.923077,0.666667,0,0,0.8,1,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.765951 [0,0,0.909091,0.666667,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.857143,0,0,0,1,0] f_measure 0.570537 [0,0,0.857143,0.666667,0,0,0.4,0.769231,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0] f_measure 0.695652 [0,0,1,1,0,0,0.5,0.666667,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0] f_measure 0.772464 [0,0,1,1,0,0,0.8,0.833333,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0] f_measure 0.619255 [0,0,0.857143,1,0,0,0.8,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0] f_measure 0.762319 [0,0,1,1,0,0,0.8,0.666667,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.736232 [0,0,1,1,0,0,0.8,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.688406 [0,0,1,1,0,0,1,0.833333,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.630658 [0,0,0.923077,0.666667,0,0,0.666667,0.8,0,0.5,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.791831 [0,0,1,1,0,0,1,0.909091,0,0,0,0,0,0,0.666667,0,0,0,1,0,0,0,0,0] f_measure 0.63354 [0,0,1,1,0,0,0,0.714286,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.722266 [0,0,1,1,0,0,0.8,0.909091,0,0,0,0,0,0,0.666667,0,0,0,0.4,0,0,1,0,0] f_measure 0.746934 [0,0,1,1,0,0,0.666667,0.769231,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.807952 [0,0,0.923077,1,0,0,1,0.888889,0,1,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0] f_measure 0.786957 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0.5,0,0,0,0.8,0,0,1,0,0] f_measure 0.778967 [0,0,0.923077,1,0,0,1,0.888889,0,0.666667,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0] f_measure 0.832411 [0,0,1,1,0,0,0.8,0.909091,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.565217 [0,0,0.8,0.666667,0,0,1,0.8,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,0,0] f_measure 0.672464 [0,0,1,0.8,0,0,1,0.8,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,0,0] f_measure 0.717746 [0,0,0.923077,0.8,0,0,0.8,0.727273,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.684472 [0,0,0.857143,1,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.685714 [0,0,1,0.857143,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.740803 [0,0,0.923077,1,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.637681 [0,0,1,1,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] f_measure 0.686166 [0,0,0.909091,1,0,0,0.8,0.727273,0,0,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0] f_measure 0.697585 [0,0,0.833333,0.666667,0,0,0.8,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0.666667,0] f_measure 0.777339 [0,0,1,1,0,0,1,0.909091,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.71267 [0,0,0.727273,0.75,0,0,1,0.888889,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.735793 [0,0,0.909091,1,0,0,0.8,0.888889,0,0.666667,0,0,0,0,0.666667,0,0,0,1,0,0,0,1,0] f_measure 0.520497 [0,0,0.8,0.8,0,0,0,0.714286,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.62556 [0,0,0.909091,0.8,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.836 [0,0,0.888889,0.857143,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,1,1,0] f_measure 0.619662 [0,0,0.888889,0.857143,0,0,0.8,0.727273,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0] f_measure 0.65978 [0,0,0.909091,1,0,0,1,0.727273,0,0.666667,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,0,0] f_measure 0.738567 [0,0,0.909091,0.8,0,0,0.666667,0.727273,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0] f_measure 0.773511 [0,0,0.923077,0.666667,0,0,0.8,0.909091,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0] f_measure 0.612354 [0,0,0.923077,0.666667,0,0,0.8,0.6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0] f_measure 0.723543 [0,0,0.923077,1,0,0,0.666667,0.769231,0,0,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0] f_measure 0.676309 [0,0,0.909091,0.666667,0,0,0.666667,0.666667,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] f_measure 0.67741 [0,0,1,0.8,0,0,1,0.727273,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,1,0,0] f_measure 0.76912 [0,0,1,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.571429,0,0,0,1,0] f_measure 0.809642 [0,0,1,1,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0] f_measure 0.65873 [0,0,0.888889,0.857143,0,0,0.571429,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] f_measure 0.716253 [0,0,0.909091,0.666667,0,0,1,0.909091,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.709091 [0,0,1,1,0,0,0.8,0.8,0,0.666667,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.626845 [0,0,0.888889,0.666667,0,0,0.666667,0.769231,0,0.5,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.736915 [0,0,1,1,0,0,0.5,0.909091,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,1,0] f_measure 0.775758 [0,0,1,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0] f_measure 0.734848 [0,0,0.833333,0.666667,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] f_measure 0.693362 [0,0,0.8,1,0,0,1,0.888889,0,0.666667,0,0,0,0,0,0,0,0,0.571429,0,0,0,1,0] f_measure 0.731267 [0,0,0.909091,1,0,0,1,0.833333,0,0,0,0,0,0,0.666667,0,0,0,0.4,0,0,0,1,0] f_measure 0.642857 [0,0,0.833333,1,0,0,0.666667,0.666667,0,0.666667,0,0,0,0,0,0,0,0,0.571429,0,0,0,0.666667,0] f_measure 0.748485 [0,0,1,0.8,0,0,0.8,1,0,0,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0] f_measure 0.694172 [0,0,0.923077,1,0,0,0.666667,0.8,0,1,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0] f_measure 0.694949 [0,0,0.833333,0.666667,0,0,0.8,0.888889,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.688574 [0,0,0.909091,1,0,0,0.666667,0.888889,0,0,0,0,0,0,1,0,0,0,0.571429,0,0,0,1,0] f_measure 0.592075 [0,0,0.615385,0.333333,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.772222 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0] f_measure 0.681159 [0,0,0.909091,0.8,0,0,0.4,0.75,0,1,0,0,0,0,0.666667,0,0,0,0.571429,0,0,0,0,0] f_measure 0.657025 [0,0,0.909091,0.8,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] f_measure 0.834091 [0,0,1,1,0,0,0.8,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] f_measure 0.618415 [0,0,0.923077,0.666667,0,0,0,0.666667,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.715385 [0,0,0.923077,0.666667,0,0,1,0.8,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,0,0,0] f_measure 0.782999 [0,0,0.909091,0.857143,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.61645 [0,0,0.8,0.666667,0,0,0.666667,0.857143,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.630854 [0,0,0.909091,0.666667,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0] f_measure 0.759091 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0,1,1,0] f_measure 0.721212 [0,0,1,1,0,0,0.5,0.8,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0] f_measure 0.641492 [0,0,0.833333,1,0,0,0,0.769231,0,0,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.718182 [0,0,1,1,0,0,0.8,0.5,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.697954 [0,0,0.857143,0,0,0,1,0.909091,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,0,0,0] f_measure 0.742424 [0,0,1,1,0,0,0.8,0.666667,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.722222 [0,0,0.833333,0.666667,0,0,1,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,1,0] kappa 0.683486 kappa 0.794183 kappa 0.631579 kappa 0.748908 kappa 0.738041 kappa 0.687783 kappa 0.790909 kappa 0.696703 kappa 0.599129 kappa 0.7951 kappa 0.608511 kappa 0.736239 kappa 0.790433 kappa 0.7 kappa 0.843537 kappa 0.687783 kappa 0.846667 kappa 0.694013 kappa 0.7951 kappa 0.742729 kappa 0.593819 kappa 0.788018 kappa 0.738636 kappa 0.690583 kappa 0.65 kappa 0.7951 kappa 0.741573 kappa 0.792325 kappa 0.571096 kappa 0.688488 kappa 0.791855 kappa 0.58465 kappa 0.746696 kappa 0.743304 kappa 0.696703 kappa 0.640625 kappa 0.792793 kappa 0.639013 kappa 0.740991 kappa 0.738636 kappa 0.7951 kappa 0.795556 kappa 0.794643 kappa 0.845291 kappa 0.54902 kappa 0.69469 kappa 0.687075 kappa 0.686364 kappa 0.695364 kappa 0.738041 kappa 0.638202 kappa 0.69265 kappa 0.69469 kappa 0.793258 kappa 0.693333 kappa 0.75 kappa 0.534831 kappa 0.595604 kappa 0.848018 kappa 0.591111 kappa 0.676471 kappa 0.728395 kappa 0.778894 kappa 0.563275 kappa 0.713542 kappa 0.680387 kappa 0.679612 kappa 0.731707 kappa 0.839416 kappa 0.627119 kappa 0.728395 kappa 0.733656 kappa 0.622549 kappa 0.727047 kappa 0.723618 kappa 0.726368 kappa 0.684211 kappa 0.726368 kappa 0.622549 kappa 0.786925 kappa 0.673267 kappa 0.678049 kappa 0.679612 kappa 0.557789 kappa 0.785888 kappa 0.626214 kappa 0.626214 kappa 0.787952 kappa 0.614035 kappa 0.728395 kappa 0.784314 kappa 0.585882 kappa 0.628019 kappa 0.731707 kappa 0.731051 kappa 0.662404 kappa 0.680387 kappa 0.721519 kappa 0.731051 kappa 0.731707 kb_relative_information_score 13.613725 kb_relative_information_score 15.1904 kb_relative_information_score 13.564219 kb_relative_information_score 17.055368 kb_relative_information_score 14.604279 kb_relative_information_score 15.020077 kb_relative_information_score 16.63526 kb_relative_information_score 16.087529 kb_relative_information_score 12.512553 kb_relative_information_score 16.330861 kb_relative_information_score 12.459162 kb_relative_information_score 14.92851 kb_relative_information_score 15.094111 kb_relative_information_score 16.220982 kb_relative_information_score 15.500147 kb_relative_information_score 13.44994 kb_relative_information_score 16.741358 kb_relative_information_score 14.735995 kb_relative_information_score 14.474684 kb_relative_information_score 15.442952 kb_relative_information_score 11.23453 kb_relative_information_score 14.867338 kb_relative_information_score 15.193374 kb_relative_information_score 14.380108 kb_relative_information_score 13.714936 kb_relative_information_score 16.016975 kb_relative_information_score 14.880416 kb_relative_information_score 16.09784 kb_relative_information_score 12.423561 kb_relative_information_score 15.98144 kb_relative_information_score 15.812816 kb_relative_information_score 12.346542 kb_relative_information_score 15.615555 kb_relative_information_score 13.745718 kb_relative_information_score 14.615532 kb_relative_information_score 14.828428 kb_relative_information_score 14.661704 kb_relative_information_score 14.254906 kb_relative_information_score 14.602772 kb_relative_information_score 14.633938 kb_relative_information_score 15.976942 kb_relative_information_score 16.206906 kb_relative_information_score 14.95856 kb_relative_information_score 15.717468 kb_relative_information_score 11.870679 kb_relative_information_score 13.743412 kb_relative_information_score 14.057386 kb_relative_information_score 13.376289 kb_relative_information_score 13.988318 kb_relative_information_score 13.459853 kb_relative_information_score 14.922852 kb_relative_information_score 15.298979 kb_relative_information_score 14.543056 kb_relative_information_score 15.20628 kb_relative_information_score 14.351579 kb_relative_information_score 15.293069 kb_relative_information_score 12.688391 kb_relative_information_score 10.272402 kb_relative_information_score 17.837608 kb_relative_information_score 12.248414 kb_relative_information_score 14.676587 kb_relative_information_score 15.037955 kb_relative_information_score 14.368537 kb_relative_information_score 11.034831 kb_relative_information_score 14.228289 kb_relative_information_score 13.050784 kb_relative_information_score 12.675006 kb_relative_information_score 13.036296 kb_relative_information_score 16.572734 kb_relative_information_score 11.564802 kb_relative_information_score 13.742887 kb_relative_information_score 14.070971 kb_relative_information_score 13.142386 kb_relative_information_score 12.771202 kb_relative_information_score 14.690768 kb_relative_information_score 14.789022 kb_relative_information_score 12.850204 kb_relative_information_score 13.649884 kb_relative_information_score 12.57136 kb_relative_information_score 13.601217 kb_relative_information_score 13.779015 kb_relative_information_score 13.213872 kb_relative_information_score 12.68724 kb_relative_information_score 11.13134 kb_relative_information_score 14.695285 kb_relative_information_score 12.236394 kb_relative_information_score 11.990651 kb_relative_information_score 15.163501 kb_relative_information_score 12.290477 kb_relative_information_score 13.978427 kb_relative_information_score 14.164827 kb_relative_information_score 10.921265 kb_relative_information_score 11.948408 kb_relative_information_score 14.643882 kb_relative_information_score 14.093342 kb_relative_information_score 14.014804 kb_relative_information_score 14.457633 kb_relative_information_score 14.598581 kb_relative_information_score 14.874273 kb_relative_information_score 14.1496 mean_absolute_error 0.023781 mean_absolute_error 0.017654 mean_absolute_error 0.024779 mean_absolute_error 0.020697 mean_absolute_error 0.020574 mean_absolute_error 0.021027 mean_absolute_error 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[0,0,1,1,0,0,1,0.625,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0] precision 0.818841 [0,0,1,1,0,0,0.666667,1,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.648551 [0,0,0.833333,0.75,0,0,0.666667,0.666667,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.789855 [0,0,1,1,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.723602 [0,0,0.857143,0.5,0,0,1,1,0,0.5,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] precision 0.601449 [0,0,0.833333,0.5,0,0,0.666667,1,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0] precision 0.759058 [0,0,1,0.666667,0,0,1,0.625,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] precision 0.763975 [0,0,0.833333,0.666667,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] precision 0.664251 [0,0,1,1,0,0,1,0.555556,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.644928 [0,0,1,0.666667,0,0,0.5,0.8,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.753623 [0,0,1,0.666667,0,0,1,0.833333,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,1,1,0] precision 0.70911 [0,0,0.857143,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0] precision 0.738613 [0,0,0.833333,1,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,0.75,0,0,0,1,0] precision 0.53442 [0,0,0.75,1,0,0,0.333333,0.625,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0] precision 0.689441 [0,0,1,1,0,0,0.5,0.571429,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0] precision 0.73499 [0,0,1,1,0,0,0.666667,0.714286,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0] precision 0.644928 [0,0,0.75,1,0,0,0.666667,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] precision 0.757246 [0,0,1,1,0,0,0.666667,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] precision 0.710145 [0,0,1,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] precision 0.677019 [0,0,1,1,0,0,1,0.714286,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.6294 [0,0,0.857143,1,0,0,1,0.666667,0,0.333333,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] precision 0.768116 [0,0,1,1,0,0,1,0.833333,0,0,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.599034 [0,0,1,1,0,0,0,0.555556,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.681159 [0,0,1,1,0,0,0.666667,0.833333,0,0,0,0,0,0,0.5,0,0,0,0.333333,0,0,1,0,0] precision 0.744565 [0,0,1,1,0,0,1,0.625,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.803313 [0,0,0.857143,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] precision 0.768116 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0.333333,0,0,0,0.666667,0,0,1,0,0] precision 0.759834 [0,0,0.857143,1,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0] precision 0.804348 [0,0,1,1,0,0,0.666667,0.833333,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.572464 [0,0,0.8,1,0,0,1,0.8,0,0,0,0,0,0,0.5,0,0,0,0.333333,0,0,0,0,0] precision 0.630435 [0,0,1,0.666667,0,0,1,0.666667,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0] precision 0.730849 [0,0,0.857143,1,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] precision 0.644928 [0,0,0.75,1,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.648551 [0,0,1,0.75,0,0,0.666667,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] precision 0.726708 [0,0,0.857143,1,0,0,1,0.714286,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.630435 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] precision 0.666667 [0,0,0.833333,1,0,0,0.666667,0.666667,0,0,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0] precision 0.710145 [0,0,0.833333,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0.5,0] precision 0.746377 [0,0,1,1,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] precision 0.721739 [0,0,0.8,0.6,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] precision 0.717391 [0,0,0.833333,1,0,0,0.666667,1,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0] precision 0.468599 [0,0,0.8,0.666667,0,0,0,0.555556,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0] precision 0.623188 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0] precision 0.822464 [0,0,1,0.75,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,1,1,0] precision 0.605072 [0,0,1,0.75,0,0,0.666667,0.666667,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0] precision 0.613636 [0,0,0.833333,1,0,0,1,0.666667,0,0.5,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0] precision 0.75 [0,0,0.833333,1,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] precision 0.779221 [0,0,0.857143,1,0,0,0.666667,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0] precision 0.612554 [0,0,0.857143,1,0,0,0.666667,0.6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0] precision 0.716721 [0,0,0.857143,1,0,0,1,0.625,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0] precision 0.67803 [0,0,0.833333,1,0,0,0.5,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.643939 [0,0,1,0.666667,0,0,1,0.666667,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,1,0,0] precision 0.809091 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] precision 0.772727 [0,0,1,1,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0] precision 0.672727 [0,0,1,0.75,0,0,0.4,0.75,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] precision 0.69697 [0,0,0.833333,1,0,0,1,0.833333,0,0.5,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0] precision 0.674242 [0,0,1,1,0,0,0.666667,0.8,0,0.5,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] precision 0.657197 [0,0,1,0.5,0,0,1,0.625,0,0.333333,0,0,0,0,1,0,0,0,1,0,0,0,0,0] precision 0.712121 [0,0,1,1,0,0,0.5,0.833333,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0] precision 0.811688 [0,0,1,1,0,0,1,0.571429,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] precision 0.779221 [0,0,0.714286,1,0,0,1,0.714286,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.695455 [0,0,0.8,1,0,0,1,1,0,0.5,0,0,0,0,0,0,0,0,0.4,0,0,0,1,0] precision 0.715368 [0,0,1,1,0,0,1,0.714286,0,0,0,0,0,0,0.5,0,0,0,0.333333,0,0,0,1,0] precision 0.661364 [0,0,0.833333,1,0,0,1,0.75,0,0.5,0,0,0,0,0,0,0,0,0.4,0,0,0,0.5,0] precision 0.704545 [0,0,1,0.666667,0,0,0.666667,1,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0] precision 0.695887 [0,0,0.857143,1,0,0,1,0.666667,0,1,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0] precision 0.690909 [0,0,0.833333,1,0,0,0.666667,0.8,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0] precision 0.675758 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.587662 [0,0,0.571429,0.25,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] precision 0.766667 [0,0,1,1,0,0,0.666667,0.8,0,1,0,0,0,0,0.333333,0,0,0,1,0,0,0,1,0] precision 0.727273 [0,0,1,0.666667,0,0,0.333333,1,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0] precision 0.651515 [0,0,1,0.666667,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] precision 0.878788 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] precision 0.62013 [0,0,0.857143,1,0,0,0,0.5,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.695887 [0,0,0.857143,1,0,0,1,0.666667,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.768939 [0,0,1,0.75,0,0,1,0.666667,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.681818 [0,0,1,0.5,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0] precision 0.621212 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0] precision 0.80303 [0,0,1,1,0,0,1,0.666667,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0] precision 0.712121 [0,0,1,1,0,0,0.5,0.666667,0,0.5,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0] precision 0.589015 [0,0,0.833333,1,0,0,0,0.625,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0] precision 0.719697 [0,0,1,1,0,0,0.666667,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.643939 [0,0,0.75,0,0,0,1,0.833333,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.737879 [0,0,1,1,0,0,0.666667,0.6,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.713636 [0,0,0.833333,1,0,0,1,0.8,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0] predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.652174 predictive_accuracy 0.826087 predictive_accuracy 0.652174 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.869565 predictive_accuracy 0.73913 predictive_accuracy 0.869565 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.652174 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.652174 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.652174 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.782609 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.826087 predictive_accuracy 0.869565 predictive_accuracy 0.608696 predictive_accuracy 0.73913 predictive_accuracy 0.73913 predictive_accuracy 0.73913 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.695652 predictive_accuracy 0.73913 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.608696 predictive_accuracy 0.652174 predictive_accuracy 0.869565 predictive_accuracy 0.652174 predictive_accuracy 0.727273 predictive_accuracy 0.772727 predictive_accuracy 0.818182 predictive_accuracy 0.636364 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.772727 predictive_accuracy 0.863636 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.772727 predictive_accuracy 0.681818 predictive_accuracy 0.818182 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.636364 predictive_accuracy 0.818182 predictive_accuracy 0.681818 predictive_accuracy 0.681818 predictive_accuracy 0.818182 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.818182 predictive_accuracy 0.636364 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.772727 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 prior_entropy 3.634907 recall 0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.695652 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.782609 [0,0,0.8,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.826087 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.652174 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.652174 [0,0,0.666667,1,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.73913 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0] recall 0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,1,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.652174 [0,0,0.833333,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.782609 [0,0,0.833333,0.666667,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.695652 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.826087 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.782609 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.652174 [0,0,1,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0] recall 0.652174 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.695652 [0,0,1,0.5,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.695652 [0,0,1,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.782609 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.826087 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.869565 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.608696 [0,0,0.8,0.5,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.73913 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.782609 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.695652 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] recall 0.73913 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.73913 [0,0,0.833333,0.5,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.73913 [0,0,0.666667,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.608696 [0,0,0.8,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.652174 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.869565 [0,0,0.8,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.652174 [0,0,0.8,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0] recall 0.727273 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.772727 [0,0,1,0.666667,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.818182 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.636364 [0,0,1,0.5,0,0,1,0.6,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0] recall 0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0] recall 0.727273 [0,0,1,0.5,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.727273 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.772727 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.863636 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.681818 [0,0,0.8,1,0,0,1,0.6,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.681818 [0,0,0.8,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.772727 [0,0,1,1,0,0,0.5,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] recall 0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0] recall 0.727273 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0] recall 0.772727 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.681818 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,0,0,0,0,1,0,0,0,1,0] recall 0.818182 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.727273 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0] recall 0.727273 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.727273 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] recall 0.636364 [0,0,0.666667,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.681818 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.681818 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.681818 [0,0,1,0.5,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.818182 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.636364 [0,0,0.666667,1,0,0,0.5,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.681818 [0,0,1,0.5,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0.333333,0,0,1,1,0] recall 0.772727 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.727273 [0,0,0.833333,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.727273 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0] recall 0.772727 [0,0,1,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.772727 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] relative_absolute_error 0.330158 relative_absolute_error 0.24431 relative_absolute_error 0.342426 relative_absolute_error 0.283011 relative_absolute_error 0.284712 relative_absolute_error 0.291981 relative_absolute_error 0.204272 relative_absolute_error 0.290288 relative_absolute_error 0.426749 relative_absolute_error 0.261588 relative_absolute_error 0.421165 relative_absolute_error 0.254831 relative_absolute_error 0.245322 relative_absolute_error 0.306437 relative_absolute_error 0.250498 relative_absolute_error 0.347371 relative_absolute_error 0.225904 relative_absolute_error 0.30481 relative_absolute_error 0.261032 relative_absolute_error 0.280895 relative_absolute_error 0.415139 relative_absolute_error 0.256525 relative_absolute_error 0.303586 relative_absolute_error 0.322205 relative_absolute_error 0.362373 relative_absolute_error 0.207884 relative_absolute_error 0.30296 relative_absolute_error 0.22347 relative_absolute_error 0.426274 relative_absolute_error 0.286598 relative_absolute_error 0.248013 relative_absolute_error 0.39118 relative_absolute_error 0.277312 relative_absolute_error 0.320091 relative_absolute_error 0.312008 relative_absolute_error 0.322171 relative_absolute_error 0.287016 relative_absolute_error 0.344828 relative_absolute_error 0.296815 relative_absolute_error 0.332215 relative_absolute_error 0.22776 relative_absolute_error 0.242502 relative_absolute_error 0.282001 relative_absolute_error 0.234858 relative_absolute_error 0.444431 relative_absolute_error 0.34529 relative_absolute_error 0.306103 relative_absolute_error 0.338641 relative_absolute_error 0.32511 relative_absolute_error 0.321696 relative_absolute_error 0.343243 relative_absolute_error 0.325749 relative_absolute_error 0.332603 relative_absolute_error 0.24051 relative_absolute_error 0.332801 relative_absolute_error 0.296117 relative_absolute_error 0.425233 relative_absolute_error 0.476957 relative_absolute_error 0.194464 relative_absolute_error 0.388152 relative_absolute_error 0.32108 relative_absolute_error 0.278958 relative_absolute_error 0.295689 relative_absolute_error 0.455619 relative_absolute_error 0.261901 relative_absolute_error 0.368898 relative_absolute_error 0.366751 relative_absolute_error 0.312461 relative_absolute_error 0.184418 relative_absolute_error 0.392302 relative_absolute_error 0.317263 relative_absolute_error 0.268566 relative_absolute_error 0.374883 relative_absolute_error 0.309906 relative_absolute_error 0.26771 relative_absolute_error 0.251991 relative_absolute_error 0.372912 relative_absolute_error 0.323416 relative_absolute_error 0.403285 relative_absolute_error 0.302273 relative_absolute_error 0.335997 relative_absolute_error 0.361291 relative_absolute_error 0.354727 relative_absolute_error 0.405812 relative_absolute_error 0.272646 relative_absolute_error 0.431856 relative_absolute_error 0.403821 relative_absolute_error 0.250642 relative_absolute_error 0.403594 relative_absolute_error 0.329481 relative_absolute_error 0.266471 relative_absolute_error 0.503299 relative_absolute_error 0.366418 relative_absolute_error 0.262693 relative_absolute_error 0.290974 relative_absolute_error 0.300492 relative_absolute_error 0.272555 relative_absolute_error 0.279118 relative_absolute_error 0.265567 relative_absolute_error 0.261992 root_mean_prior_squared_error 0.188346 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189229 root_mean_prior_squared_error 0.191248 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.188308 root_mean_prior_squared_error 0.188154 root_mean_prior_squared_error 0.19007 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188846 root_mean_prior_squared_error 0.189114 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.1885 root_mean_prior_squared_error 0.19026 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.18942 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.191286 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.188269 root_mean_prior_squared_error 0.188192 root_mean_prior_squared_error 0.191362 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.190336 root_mean_prior_squared_error 0.189076 root_mean_prior_squared_error 0.188922 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188769 root_mean_prior_squared_error 0.188961 root_mean_prior_squared_error 0.189267 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.190565 root_mean_prior_squared_error 0.1885 root_mean_prior_squared_error 0.191096 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.189267 root_mean_prior_squared_error 0.189076 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.191362 root_mean_prior_squared_error 0.190641 root_mean_prior_squared_error 0.188577 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.190413 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.19102 root_mean_prior_squared_error 0.190374 root_mean_prior_squared_error 0.189038 root_mean_prior_squared_error 0.188999 root_mean_prior_squared_error 0.188539 root_mean_prior_squared_error 0.190983 root_mean_prior_squared_error 0.191172 root_mean_prior_squared_error 0.18942 root_mean_prior_squared_error 0.190298 root_mean_prior_squared_error 0.189955 root_mean_prior_squared_error 0.190071 root_mean_prior_squared_error 0.189273 root_mean_prior_squared_error 0.187786 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.186612 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.190032 root_mean_prior_squared_error 0.187907 root_mean_prior_squared_error 0.189912 root_mean_prior_squared_error 0.189072 root_mean_prior_squared_error 0.189353 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.189952 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.187139 root_mean_prior_squared_error 0.189273 root_mean_prior_squared_error 0.190271 root_mean_prior_squared_error 0.187826 root_mean_prior_squared_error 0.187987 root_mean_prior_squared_error 0.190032 root_mean_prior_squared_error 0.189032 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.191065 root_mean_prior_squared_error 0.187866 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.187261 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.187745 root_mean_prior_squared_error 0.189072 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.188992 root_mean_prior_squared_error 0.189632 root_mean_prior_squared_error 0.191382 root_mean_prior_squared_error 0.189152 root_mean_prior_squared_error 0.189593 root_mean_prior_squared_error 0.187463 root_mean_prior_squared_error 0.188952 root_mean_prior_squared_error 0.187947 root_mean_prior_squared_error 0.189032 root_mean_prior_squared_error 0.189593 root_mean_squared_error 0.128557 root_mean_squared_error 0.110681 root_mean_squared_error 0.13354 root_mean_squared_error 0.116412 root_mean_squared_error 0.119234 root_mean_squared_error 0.127639 root_mean_squared_error 0.10496 root_mean_squared_error 0.120028 root_mean_squared_error 0.139279 root_mean_squared_error 0.115596 root_mean_squared_error 0.142589 root_mean_squared_error 0.112433 root_mean_squared_error 0.104211 root_mean_squared_error 0.118206 root_mean_squared_error 0.103079 root_mean_squared_error 0.135128 root_mean_squared_error 0.100842 root_mean_squared_error 0.132303 root_mean_squared_error 0.112216 root_mean_squared_error 0.122967 root_mean_squared_error 0.153002 root_mean_squared_error 0.114462 root_mean_squared_error 0.113652 root_mean_squared_error 0.132282 root_mean_squared_error 0.138867 root_mean_squared_error 0.103408 root_mean_squared_error 0.118934 root_mean_squared_error 0.103764 root_mean_squared_error 0.15012 root_mean_squared_error 0.121348 root_mean_squared_error 0.112265 root_mean_squared_error 0.14419 root_mean_squared_error 0.118531 root_mean_squared_error 0.132949 root_mean_squared_error 0.121642 root_mean_squared_error 0.126203 root_mean_squared_error 0.112536 root_mean_squared_error 0.134471 root_mean_squared_error 0.125034 root_mean_squared_error 0.126382 root_mean_squared_error 0.103999 root_mean_squared_error 0.106076 root_mean_squared_error 0.120712 root_mean_squared_error 0.098805 root_mean_squared_error 0.167793 root_mean_squared_error 0.130254 root_mean_squared_error 0.122429 root_mean_squared_error 0.134139 root_mean_squared_error 0.13083 root_mean_squared_error 0.122225 root_mean_squared_error 0.131303 root_mean_squared_error 0.12638 root_mean_squared_error 0.131515 root_mean_squared_error 0.102174 root_mean_squared_error 0.130633 root_mean_squared_error 0.121338 root_mean_squared_error 0.1524 root_mean_squared_error 0.159352 root_mean_squared_error 0.099667 root_mean_squared_error 0.139673 root_mean_squared_error 0.129819 root_mean_squared_error 0.116767 root_mean_squared_error 0.119208 root_mean_squared_error 0.155358 root_mean_squared_error 0.117227 root_mean_squared_error 0.143779 root_mean_squared_error 0.142832 root_mean_squared_error 0.123311 root_mean_squared_error 0.093396 root_mean_squared_error 0.14191 root_mean_squared_error 0.129919 root_mean_squared_error 0.118355 root_mean_squared_error 0.141417 root_mean_squared_error 0.12421 root_mean_squared_error 0.106809 root_mean_squared_error 0.106611 root_mean_squared_error 0.144514 root_mean_squared_error 0.127832 root_mean_squared_error 0.15036 root_mean_squared_error 0.121845 root_mean_squared_error 0.130964 root_mean_squared_error 0.140551 root_mean_squared_error 0.140523 root_mean_squared_error 0.151833 root_mean_squared_error 0.110511 root_mean_squared_error 0.14236 root_mean_squared_error 0.141399 root_mean_squared_error 0.10586 root_mean_squared_error 0.137915 root_mean_squared_error 0.117354 root_mean_squared_error 0.112308 root_mean_squared_error 0.162608 root_mean_squared_error 0.136804 root_mean_squared_error 0.120127 root_mean_squared_error 0.123698 root_mean_squared_error 0.12084 root_mean_squared_error 0.117909 root_mean_squared_error 0.125333 root_mean_squared_error 0.110496 root_mean_squared_error 0.126991 root_relative_squared_error 0.682558 root_relative_squared_error 0.585733 root_relative_squared_error 0.705706 root_relative_squared_error 0.608698 root_relative_squared_error 0.631 root_relative_squared_error 0.67782 root_relative_squared_error 0.557839 root_relative_squared_error 0.631497 root_relative_squared_error 0.736781 root_relative_squared_error 0.612117 root_relative_squared_error 0.753985 root_relative_squared_error 0.594766 root_relative_squared_error 0.552844 root_relative_squared_error 0.621288 root_relative_squared_error 0.545506 root_relative_squared_error 0.713377 root_relative_squared_error 0.533776 root_relative_squared_error 0.691649 root_relative_squared_error 0.593259 root_relative_squared_error 0.650753 root_relative_squared_error 0.808883 root_relative_squared_error 0.607971 root_relative_squared_error 0.603913 root_relative_squared_error 0.69127 root_relative_squared_error 0.726974 root_relative_squared_error 0.547024 root_relative_squared_error 0.62954 root_relative_squared_error 0.545162 root_relative_squared_error 0.793968 root_relative_squared_error 0.642314 root_relative_squared_error 0.593996 root_relative_squared_error 0.763841 root_relative_squared_error 0.627279 root_relative_squared_error 0.702439 root_relative_squared_error 0.636801 root_relative_squared_error 0.662256 root_relative_squared_error 0.597009 root_relative_squared_error 0.703683 root_relative_squared_error 0.661425 root_relative_squared_error 0.668693 root_relative_squared_error 0.550263 root_relative_squared_error 0.560457 root_relative_squared_error 0.638433 root_relative_squared_error 0.522675 root_relative_squared_error 0.876836 root_relative_squared_error 0.683241 root_relative_squared_error 0.649224 root_relative_squared_error 0.709156 root_relative_squared_error 0.687086 root_relative_squared_error 0.64617 root_relative_squared_error 0.687377 root_relative_squared_error 0.663848 root_relative_squared_error 0.695706 root_relative_squared_error 0.540607 root_relative_squared_error 0.692871 root_relative_squared_error 0.635336 root_relative_squared_error 0.797188 root_relative_squared_error 0.84126 root_relative_squared_error 0.523739 root_relative_squared_error 0.735295 root_relative_squared_error 0.683001 root_relative_squared_error 0.616925 root_relative_squared_error 0.634806 root_relative_squared_error 0.827138 root_relative_squared_error 0.628184 root_relative_squared_error 0.756922 root_relative_squared_error 0.751624 root_relative_squared_error 0.656232 root_relative_squared_error 0.491787 root_relative_squared_error 0.750561 root_relative_squared_error 0.686121 root_relative_squared_error 0.62308 root_relative_squared_error 0.744487 root_relative_squared_error 0.661304 root_relative_squared_error 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