295477 2 Joaquin Vanschoren 1887 Supervised Classification predictive_accuracy 1168 weka.BayesNet_K2(6) 1921 weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5 D true 1168 Q weka.classifiers.bayes.net.search.local.K2 1168 P 1 1169 S BAYES 1169 weka weka_3.7.12 7 audiology https://www.openml.org/data/download/7/dataset_7_audiology.arff -1 997814 description https://api.openml.org/data/download/997814/weka_generated_run6143513555487318753.xml -1 997817 model_readable https://api.openml.org/data/download/997817/WekaModel_weka.classifiers.bayes.BayesNet411029785597433266.model -1 997816 model_serialized https://api.openml.org/data/download/997816/WekaSerialized_weka.classifiers.bayes.BayesNet8354941954871362897.model -1 997815 predictions https://api.openml.org/data/download/997815/weka_generated_predictions1418293813992961260.arff area_under_roc_curve 0.958399 [0.472889,0.472444,0.99331,0.991927,0.476667,0.7074,0.984311,0.963749,0.908471,0.999932,0.674944,0.967157,0.855569,0.986317,0.997993,0.989462,0.494,0.964967,0.963914,0.870304,0.490444,0.998176,0.95875,0.720234] average_cost 0 f_measure 0.719506 [0,0,0.917508,0.874142,0,0,0.814458,0.837344,0,0.685714,0,0,0,0,0.775862,0,0,0,0.643923,0,0,0.894737,0.719424,0] kappa 0.719711 kb_relative_information_score 1404.495517 mean_absolute_error 0.022818 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 [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.687778 [0,0,0.881877,0.880184,0,0,0.786047,0.778175,0,0.521739,0,0,0,0,0.633803,0,0,0,0.606426,0,0,0.944444,0.847458,0] predictive_accuracy 0.763274 prior_entropy 3.634907 recall 0.763274 [0,0,0.95614,0.868182,0,0,0.845,0.90625,0,1,0,0,0,0,1,0,0,0,0.686364,0,0,0.85,0.625,0] relative_absolute_error 0.315199 root_mean_prior_squared_error 0.189308 root_mean_squared_error 0.1248 root_relative_squared_error 0.659241 scimark_benchmark 1342.691097 [815.44679278678, 1017.6683591688668, 546.5725558404625, 1120.273545364893, 3213.4942316708025] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 20 usercpu_time_millis_training 0 area_under_roc_curve 0.978747 [0.0,0.0,1,1,0.0,0.977273,0.952381,0.944444,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,0.0,1,0.0] area_under_roc_curve 0.993977 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,0.97619,0.909091,0.0,0.0,1,0.0] area_under_roc_curve 0.969241 [0.5,0.0,0.990196,1,0.0,0.0,1,0.988889,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,1,0.0,0.0] area_under_roc_curve 0.971256 [0.0,0.0,0.977778,1,0.0,0.0,1,1,0.0,1,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.983333,0.0,0.0,1,1,0.0] area_under_roc_curve 0.988048 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.954545,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,0.818182,0.0,0.0,1,1] area_under_roc_curve 0.936006 [0.0,0.0,1,1,0.0,0.0,1,0.833333,0.0,0.0,0.5,0.0,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.909091,0.0] area_under_roc_curve 1 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.993353 [0.0,0.0,1,1,0.0,0.0,1,0.973684,0.0,1,0.0,1,0.0,1,1,1,0.0,0.0,0.97619,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.958435 [0.0,0.0,1,1,0.0,0.0,1,0.855556,0.954545,1,1,0.0,0.954545,0.0,1,0.0,0.0,0.0,0.928571,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.967313 [0.0,0.0,1,1,0.0,0.0,1,0.877778,0.0,1,0.0,1,0.0,0.0,0.954545,1,0.0,0.0,0.952381,0.0,0.0,1,1,0.0] area_under_roc_curve 0.964239 [0.0,0.0,1,1,0.0,0.454545,0.97619,1,0.0,0.0,1,0.0,0.954545,0.0,1,0.0,0.0,0.0,0.97619,0.863636,0.0,0.0,1,0.0] area_under_roc_curve 0.996047 [0.0,0.0,1,1,0.0,0.0,1,1,0.954545,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.954545,1,0.0,0.0,0.0,1,1] area_under_roc_curve 0.998024 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.954545,1,0.0,0.0,1,0.0,1] area_under_roc_curve 0.993193 [0.0,0.0,0.988889,1,0.0,0.0,1,0.988889,0.0,1,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,0.954545,0.0] area_under_roc_curve 0.974214 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,0.97619,0.954545,0.0,0.0,1,0.5] area_under_roc_curve 0.971014 [0.0,0.0,1,1,0.0,0.0,1,0.966667,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.5,1,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.971705 [0.0,0.0,1,1,0.0,0.5,0.952381,0.988889,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.959372 [0.5,0.0,1,0.95,0.0,0.0,1,0.986842,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.983333,0.0,0.0,0.0,0.818182,0.0] area_under_roc_curve 0.970356 [0.0,0.5,1,1,0.0,0.0,1,1,1,0.0,0.0,0.0,0.954545,0.0,1,0.0,0.0,0.0,1,0.863636,0.0,0.0,1,0.0] area_under_roc_curve 0.960945 [0.0,0.0,1,0.952381,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.5,1,0.863636,0.0] area_under_roc_curve 0.92634 [0.0,0.0,0.960784,0.952381,0.0,0.0,1,1,0.0,0.0,0.477273,0.0,0.977273,0.0,1,0.0,0.0,0.0,1,0.909091,0.5,0.0,0.772727,0.0] area_under_roc_curve 0.967658 [0.0,0.0,1,0.952381,0.0,0.0,0.97619,0.988889,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,0.954545,0.5] area_under_roc_curve 0.958186 [0.0,0.0,0.980392,0.95,0.0,0.0,0.97619,0.988889,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.909091,0.5] area_under_roc_curve 0.942719 [0.5,0.5,1,1,0.0,0.0,1,0.955556,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.952381,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.980708 [0.0,0.0,1,0.97619,0.0,0.0,1,0.966667,0.0,1,0.0,0.954545,0.954545,0.0,1,1,0.0,1,0.97619,0.0,0.0,0.0,0.909091,0.0] area_under_roc_curve 0.994885 [0.0,0.0,0.980392,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,1,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.991907 [0.0,0.0,1,1,0.0,1,0.97619,1,0.0,1,0.0,0.954545,0.0,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,0.0,0.954545,0.0] area_under_roc_curve 0.976087 [0.0,0.5,1,1,0.0,0.0,1,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.983333,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.950311 [0.0,0.0,1,1,0.5,0.5,0.952381,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,1,0.0,1,1,0.0] area_under_roc_curve 0.990683 [0.0,0.0,1,1,0.0,0.0,0.97619,0.966667,1,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.962733 [0.5,0.0,1,1,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.904762,0.0,0.0,1,1,0.0] area_under_roc_curve 0.942951 [0.0,0.0,1,1,0.0,0.0,1,0.966667,0.0,0.0,0.5,0.954545,0.0,0.0,0.0,1,0.5,0.0,0.966667,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.986291 [0.0,0.0,1,1,0.0,0.0,0.97619,0.955556,0.954545,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.982057 [0.0,0.0,1,1,0.0,1,1,0.955556,0.0,1,0.0,0.0,1,1,1,0.0,0.0,1,0.904762,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.989585 [0.0,0.0,1,1,0.0,0.0,1,0.988889,0.954545,1,0.0,1,0.954545,0.0,1,1,0.0,0.0,0.97619,0.0,0.0,0.0,0.954545,0.0] 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 0.994071 [0.0,0.0,1,1,0.0,0.0,1,1,1,0.0,0.0,0.954545,0.909091,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.960663 [0.0,0.0,1,1,0.0,1,0.928571,0.966667,0.0,1,0.0,1,0.0,0.0,1,0.0,0.0,1,0.952381,0.0,0.5,0.0,1,0.0] area_under_roc_curve 0.96507 [0.0,0.0,1,1,0.0,0.977273,0.97619,0.955556,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.880952,0.772727,0.0,1,0.954545,0.0] area_under_roc_curve 0.958937 [0.5,0.0,1,1,0.0,0.0,0.880952,0.977778,1,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,1,1,0.0] area_under_roc_curve 0.971751 [0.0,0.0,0.990196,1,0.5,0.0,1,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,1,0.909091,0.0] 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 0.913592 [0.0,0.0,0.990196,1,0.5,0.0,1,0.833333,1,1,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.953463 [0.0,0.0,1,1,0.0,0.477273,0.97619,1,0.0,1,0.0,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.5] area_under_roc_curve 0.965195 [0.0,0.0,0.988889,1,0.0,0.0,1,0.955556,0.977273,0.0,0.0,1,0.0,1,1,1,0.5,0.0,1,0.0,0.0,1,0.0,0.0] area_under_roc_curve 0.981931 [0.0,0.0,1,0.97619,0.0,0.0,1,1,0.954545,1,0.0,1,0.954545,0.0,1,0.0,0.0,0.0,0.952381,0.818182,0.0,0.0,1,0.0] 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 0.888652 [0.0,0.0,0.980392,1,0.5,0.477273,0.952381,0.844444,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.97619,1,0.0,0.0,1,0.5] area_under_roc_curve 0.950659 [0.0,0.0,1,0.95,0.0,0.0,1,0.966667,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.909091,0.5,1,0.772727,0.0] area_under_roc_curve 0.969193 [0.0,0.0,0.980392,1,0.5,0.0,1,1,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.909091,0.0,0.0,1,1] area_under_roc_curve 0.961698 [0.0,0.0,1,1,0.0,0.0,1,0.933333,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,0.97619,0.0,0.0,1,1,1] area_under_roc_curve 0.966184 [0.0,0.0,0.977778,1,0.5,0.0,1,0.966667,0.0,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.94529 [0.0,0.0,0.980392,1,0.0,0.5,0.952381,1,0.0,1,0.0,0.0,0.0,0.0,0.954545,1,0.0,0.0,1,0.0,0.5,0.0,1,0.0] 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 0.941948 [0.0,0.0,0.970588,1,0.0,0.0,1,0.877778,0.0,0.0,0.0,1,0.0,1,1,0.0,0.0,0.0,0.97619,0.0,0.5,1,0.0,0.0] area_under_roc_curve 0.95878 [0.0,0.0,0.988889,1,0.0,0.5,0.952381,0.977778,0.0,1,0.0,0.954545,1,0.0,1,0.0,0.0,0.0,0.952381,0.954545,0.0,0.0,1,0.0] area_under_roc_curve 0.946201 [0.0,0.0,1,1,0.0,0.0,0.928571,0.955556,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.5,0.954545,0.904762,0.863636,0.0,1,1,1] area_under_roc_curve 0.928977 [0.0,0.0,0.980392,0.952381,0.0,0.0,1,0.944444,0.909091,0.0,0.0,0.0,0.909091,0.0,0.0,0.0,0.5,0.0,0.928571,0.772727,0.0,0.0,0.909091,1] area_under_roc_curve 0.963768 [0.5,0.0,0.966667,1,0.0,0.0,1,0.966667,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0,0.0,1,1,0.0] area_under_roc_curve 0.932279 [0.0,0.0,1,1,0.0,0.0,1,0.966667,0.0,0.0,0.0,0.0,0.0,1,1,0.0,0.5,0.0,0.9,0.909091,0.0,0.0,0.0,0.5] area_under_roc_curve 0.937968 [0.0,0.0,0.988235,1,0.0,0.0,1,0.858824,0.0,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.95,0.0,0.0,1,0.0,0.5] 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 0.93414 [0.0,0.0,0.989583,0.975,0.0,0.0,1,0.811765,1,0.0,0.0,0.952381,0.0,0.0,1,0.0,0.0,0.0,0.85,0.952381,0.0,0.0,1,0.0] 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 0.928132 [0.0,0.0,0.988235,0.975,0.0,1,0.95,0.894118,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.9,0.857143,0.0,0.0,1,0.5] 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 0.973268 [0.0,0.0,1,1,0.0,0.0,0.875,1,1,0.0,0.0,0.0,0.952381,0.0,1,0.0,0.0,0.0,0.95,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.997835 [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 0.963159 [0.0,0.5,1,1,0.0,1,0.975,0.976471,0.0,0.0,0.0,0.0,0.952381,0.0,0.0,0.0,0.0,0.0,1,0.904762,0.0,0.0,0.0,0.0] area_under_roc_curve 0.997608 [0.0,0.0,1,1,0.0,0.0,1,1,1,1,0.0,1,0.0,0.0,1,1,0.0,0.0,0.982456,0.0,0.0,0.0,0.0,0.0] area_under_roc_curve 0.993398 [0.0,0.0,1,1,0.0,1,0.975,1,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,1,0.904762,0.0,0.0,1,0.0] area_under_roc_curve 0.955411 [0.0,0.5,1,0.95,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,1,0.904762,0.0,0.0,0.714286,0.0] area_under_roc_curve 0.982251 [0.0,0.0,1,1,0.0,0.0,0.95,1,1,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,0.95,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.956901 [0.5,0.0,1,1,0.0,0.0,1,0.929412,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.904762,0.0] area_under_roc_curve 0.972488 [0.0,0.5,1,1,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.964912,0.0,0.0,0.0,1,1] area_under_roc_curve 0.949573 [0.0,0.0,0.964706,1,0.5,0.0,1,0.952941,0.0,1,1,0.0,0.0,1,0.0,0.0,0.0,0.0,0.925,0.952381,0.0,0.0,1,0.0] area_under_roc_curve 0.965341 [0.0,0.0,0.989583,1,0.0,0.0,1,1,0.0,0.0,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,0.9,1,0.0,1,1,0.0] area_under_roc_curve 0.952072 [0.0,0.0,0.979167,1,0.0,0.0,0.95,0.894118,0.0,1,0.0,1,0.0,0.0,0.0,1,0.0,1,0.85,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.988961 [0.0,0.0,1,1,0.0,1,0.975,1,0.0,0.0,0.0,1,1,0.0,1,0.0,0.0,0.0,0.975,0.857143,0.0,0.0,1,0.0] area_under_roc_curve 0.985752 [0.0,0.0,1,1,0.0,0.0,0.95,0.986111,1,1,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.947368,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.94853 [0.0,0.0,0.989583,1,0.0,0.47619,0.95,0.986111,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.9,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.961235 [0.0,0.0,1,1,0.0,0.0,0.975,0.972222,0.0,0.0,0.0,0.952381,0.904762,1,1,0.0,0.0,0.0,0.912281,0.714286,0.0,0.0,1,0.0] area_under_roc_curve 0.935768 [0.0,0.0,0.9375,0.875,0.5,0.0,0.975,1,0.0,0.0,0.0,1,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.761905,0.0] area_under_roc_curve 0.970455 [0.0,0.5,1,1,0.0,1,0.975,1,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.95,1,0.0,0.0,1,0.0] area_under_roc_curve 0.943486 [0.0,0.0,0.989583,0.975,0.0,0.0,0.875,0.976471,0.0,1,0.0,0.0,0.0,0.0,1,1,0.0,0.0,0.912281,0.0,0.5,0.0,0.0,0.0] area_under_roc_curve 0.942749 [0.0,0.5,0.958333,0.95,0.0,0.0,1,0.958333,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,0.0,0.95,0.904762,0.0,0.0,0.952381,0.0] area_under_roc_curve 0.995671 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,1,1,0.0,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,1,0.904762,0.0] area_under_roc_curve 0.942045 [0.0,0.0,0.979167,0.975,0.0,0.0,0.95,1,0.0,1,0.0,1,0.0,0.0,1,0.0,0.5,0.0,1,0.0,0.0,0.0,0.0,0.5] area_under_roc_curve 0.992677 [0.0,0.0,1,1,0.0,0.0,1,0.972222,0.0,1,1,1,0.0,0.0,1,0.0,0.0,1,0.975,0.0,0.0,0.0,1,0.0] area_under_roc_curve 0.972267 [0.0,0.5,0.989583,1,0.0,0.0,1,1,0.0,0.0,0.0,0.0,0.0,0.0,1,0.0,0.0,1,1,0.952381,0.0,0.0,1,0.0] area_under_roc_curve 0.933622 [0.0,0.5,0.958333,0.975,0.0,0.0,0.95,0.944444,0.0,1,0.0,0.0,0.952381,0.0,1,0.0,0.0,0.0,0.95,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.962121 [0.0,0.0,1,1,0.0,0.0,1,1,0.0,0.0,0.0,0.857143,1,1,0.0,0.0,0.5,0.0,1,0.809524,0.0,0.0,1,0.0] area_under_roc_curve 0.972583 [0.0,0.0,1,1,0.0,0.0,1,0.986111,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1,0.5,0.0,1,0.952381,0.0,1,1,0.0] area_under_roc_curve 0.972727 [0.0,0.0,1,1,0.0,1,0.95,1,0.0,1,0.5,0.0,0.0,0.0,1,0.0,0.0,0.0,1,1,0.0,0.0,1,0.0] 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 0.932084 [0.5,0.0,1,1,0.0,0.0,1,0.902778,0.0,1,0.0,0.0,0.0,0.0,1,0.0,0.0,0.0,0.964912,0.0,0.5,0.0,1,0.0] 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 0.970418 [0.0,0.0,1,1,0.0,0.0,1,0.986111,0.0,1,0.452381,0.952381,0.0,0.0,1,0.0,0.0,0.0,1,0.0,0.0,0.0,0.0,1] area_under_roc_curve 0.967154 [0.0,0.0,0.979167,0.975,0.0,0.0,1,1,0.0,1,0.5,0.952381,0.0,0.0,1,0.0,0.0,1,1,0.0,0.0,0.0,1,0.0] 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 0.736232 [0,0,1,1,0,0,0.8,0.8,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] f_measure 0.837681 [0,0,1,1,0,0,1,1,0,0.666667,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.70911 [0,0,0.857143,1,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] f_measure 0.705929 [0,0,0.727273,0.8,0,0,0.666667,0.8,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,1,1,0] f_measure 0.754373 [0,0,0.923077,0.666667,0,0,0.666667,0.909091,0,1,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.699112 [0,0,0.923077,0.857143,0,0,0.666667,0.727273,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] f_measure 0.832298 [0,0,0.857143,0.666667,0,0,1,1,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,0,1,0] f_measure 0.7025 [0,0,0.923077,1,0,0,0.666667,0.571429,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] f_measure 0.660757 [0,0,0.909091,0.8,0,0,0.666667,0.8,0,0.666667,0,0,0,0,1,0,0,0,0.571429,0,0,0,0,0] f_measure 0.748049 [0,0,0.923077,1,0,0,1,0.8,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,1,0,0] f_measure 0.791304 [0,0,1,1,0,0,0.8,1,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] f_measure 0.73988 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[0,0,0.833333,0.4,0,0,0.8,0.833333,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,0,0] f_measure 0.732441 [0,0,1,1,0,0,1,0.769231,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,1,0,0] f_measure 0.630567 [0,0,1,0.8,0,0,0.8,0.727273,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,0,0] f_measure 0.814716 [0,0,0.923077,1,0,0,0.8,1,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,1,0] f_measure 0.776812 [0,0,1,1,0,0,0.8,1,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.8147 [0,0,1,1,0,0,1,0.833333,0,1,0,0,0,0,1,0,0,0,0.857143,0,0,0,1,0] f_measure 0.680124 [0,0,0.857143,0.666667,0,0,0.5,0.833333,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] f_measure 0.703253 [0,0,0.923077,0.666667,0,0,0.5,0.727273,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,1,1,0] f_measure 0.77592 [0,0,1,1,0,0,1,0.769231,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0] f_measure 0.604348 [0,0,0.8,1,0,0,0.8,0.8,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0] f_measure 0.80942 [0,0,1,1,0,0,0.8,0.75,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,1,1,0] f_measure 0.697233 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[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 0.661093 [0,0,0.923077,0.5,0,0,1,1,0,0.666667,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] 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 0.669979 [0,0,0.857143,1,0,0,0.8,0.8,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,1,0] f_measure 0.688613 [0,0,1,0.857143,0,0,0.8,0.8,0,0,0,0,0,0,0.666667,0,0,0,1,0,0,0,0,0] f_measure 0.784281 [0,0,0.923077,1,0,0,1,1,0,0,0,0,0,0,0.5,0,0,0,1,0,0,0,1,0] f_measure 0.619048 [0,0,1,1,0,0,0.666667,0.714286,0,0.666667,0,0,0,0,0.666667,0,0,0,0,0,0,0,1,0] f_measure 0.669697 [0,0,0.833333,1,0,0,0.8,0.727273,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0] f_measure 0.619993 [0,0,0.769231,0,0,0,0.8,0.888889,0,0.666667,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0.666667,0] f_measure 0.794203 [0,0,1,1,0,0,1,1,0,0.666667,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.765908 [0,0,0.833333,0.857143,0,0,1,0.888889,0,0,0,0,0,0,1,0,0,0,0.8,0,0,1,0,0] f_measure 0.687484 [0,0,0.909091,1,0,0,0.8,0.8,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,1,0] f_measure 0.532441 [0,0,0.8,0.8,0,0,0,0.769231,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.599034 [0,0,0.833333,0.5,0,0,1,0.888889,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0] 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 0.685507 [0,0,1,1,0,0,0.8,0.833333,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0] f_measure 0.719697 [0,0,0.833333,1,0,0,1,0.8,0,0.666667,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] 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 0.695688 [0,0,0.923077,0.666667,0,0,0.8,0.833333,0,1,0,0,0,0,0.666667,0,0,0,0,0,0,0,1,0] f_measure 0.597203 [0,0,0.923077,0.666667,0,0,0.8,0.6,0,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,1,0] f_measure 0.714452 [0,0,0.923077,1,0,0,0.666667,0.769231,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0] 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 0.656749 [0,0,0.909091,0.8,0,0,1,0.727273,0,0,0,0,0,0,0.666667,0,0,0,0.5,0,0,1,0,0] f_measure 0.758127 [0,0,1,1,0,0,0.666667,0.909091,0,0,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.812121 [0,0,1,1,0,0,0.8,1,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,1,0] f_measure 0.631457 [0,0,0.888889,0.857143,0,0,0.571429,0.666667,0,0,0,0,0,0,0,0,0,0,0.8,0,0,0,0,0] f_measure 0.762889 [0,0,0.909091,0.666667,0,0,1,1,0,0.666667,0,0,0,0,0.666667,0,0,0,0.857143,0,0,0,0,0] f_measure 0.754545 [0,0,1,1,0,0,0.8,1,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.589899 [0,0,0.888889,0.8,0,0,0,0.833333,0,0.5,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.729021 [0,0,0.923077,1,0,0,0.666667,0.833333,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] 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 0.666667 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0] f_measure 0.833333 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0] f_measure 0.563361 [0,0,0.833333,1,0,0,0.666667,0.545455,0,0.666667,0,0,0,0,0,0,0,0,0,0,0,0,0.666667,0] f_measure 0.742975 [0,0,0.909091,0.8,0,0,0.8,1,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,1,0] 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 0.673423 [0,0,0.909091,1,0,0,0.666667,0.888889,0,0,0,0,0,0,0.666667,0,0,0,0.571429,0,0,0,1,0] f_measure 0.637229 [0,0,0.714286,0.4,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.8,0,0,0,0,0] f_measure 0.764646 [0,0,1,1,0,0,0.8,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.5,0,0,0,1,0] f_measure 0.734803 [0,0,0.909091,0.8,0,0,0.5,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] f_measure 0.684298 [0,0,0.909091,0.8,0,0,1,0.75,0,1,0,0,0,0,0.666667,0,0,0,0.666667,0,0,0,0,0] 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 0.5502 [0,0,0.857143,0.666667,0,0,0,0.615385,0,0.666667,0,0,0,0,1,0,0,0,0.5,0,0,0,0,0] f_measure 0.757071 [0,0,1,1,0,0,1,0.888889,0,1,0,0,0,0,0.5,0,0,0,0.8,0,0,0,0,0] 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 0.607792 [0,0,0.8,0.666667,0,0,0.666667,0.857143,0,0.666667,0,0,0,0,0.666667,0,0,0,0.571429,0,0,0,0,0] 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 0.761849 [0,0,0.923077,1,0,0,0.5,0.888889,0,0.666667,0,0,0,0,1,0,0,0,1,0,0,0,1,0] f_measure 0.716667 [0,0,0.833333,1,0,0,0.666667,0.833333,0,0,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.754545 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,0.4,0,0,0,1,0] f_measure 0.764069 [0,0,0.857143,0,0,0,1,1,0,1,0,0,0,0,0.666667,0,0,0,1,0,0,1,0,0] f_measure 0.780031 [0,0,0.923077,1,0,0,1,0.888889,0,1,0,0,0,0,0.666667,0,0,0,0.8,0,0,0,0,0] f_measure 0.719891 [0,0,0.769231,0.666667,0,0,1,0.888889,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] kappa 0.740991 kappa 0.846667 kappa 0.733796 kappa 0.695364 kappa 0.740991 kappa 0.684211 kappa 0.842105 kappa 0.694013 kappa 0.644592 kappa 0.742152 kappa 0.795556 kappa 0.740406 kappa 0.793722 kappa 0.752688 kappa 0.791383 kappa 0.633257 kappa 0.793722 kappa 0.694013 kappa 0.794643 kappa 0.743304 kappa 0.5902 kappa 0.789474 kappa 0.687075 kappa 0.744444 kappa 0.646154 kappa 0.844244 kappa 0.7951 kappa 0.845291 kappa 0.681293 kappa 0.688488 kappa 0.790433 kappa 0.578947 kappa 0.798687 kappa 0.689888 kappa 0.696035 kappa 0.747253 kappa 0.844244 kappa 0.639821 kappa 0.740406 kappa 0.738636 kappa 0.7951 kappa 0.796009 kappa 0.7951 kappa 0.844595 kappa 0.54902 kappa 0.694013 kappa 0.687075 kappa 0.685649 kappa 0.696703 kappa 0.793722 kappa 0.640625 kappa 0.690583 kappa 0.641425 kappa 0.796009 kappa 0.743875 kappa 0.697368 kappa 0.54 kappa 0.547046 kappa 0.848018 kappa 0.689189 kappa 0.730392 kappa 0.728395 kappa 0.721519 kappa 0.562189 kappa 0.715026 kappa 0.680387 kappa 0.675676 kappa 0.727723 kappa 0.84058 kappa 0.576923 kappa 0.783784 kappa 0.786925 kappa 0.626214 kappa 0.721519 kappa 0.723618 kappa 0.726368 kappa 0.629808 kappa 0.836634 kappa 0.507463 kappa 0.784841 kappa 0.673267 kappa 0.678049 kappa 0.679612 kappa 0.611111 kappa 0.785366 kappa 0.679612 kappa 0.682692 kappa 0.787952 kappa 0.55102 kappa 0.785366 kappa 0.784314 kappa 0.583924 kappa 0.628019 kappa 0.73236 kappa 0.783251 kappa 0.720812 kappa 0.72973 kappa 0.779449 kappa 0.782716 kappa 0.728395 kb_relative_information_score 13.819039 kb_relative_information_score 15.84969 kb_relative_information_score 14.054295 kb_relative_information_score 16.426546 kb_relative_information_score 14.648426 kb_relative_information_score 14.387701 kb_relative_information_score 16.249748 kb_relative_information_score 15.727249 kb_relative_information_score 12.782678 kb_relative_information_score 15.736075 kb_relative_information_score 13.326252 kb_relative_information_score 14.81443 kb_relative_information_score 15.202348 kb_relative_information_score 16.310291 kb_relative_information_score 15.450536 kb_relative_information_score 12.472074 kb_relative_information_score 16.368711 kb_relative_information_score 14.039651 kb_relative_information_score 14.618823 kb_relative_information_score 15.07658 kb_relative_information_score 11.548142 kb_relative_information_score 14.685758 kb_relative_information_score 15.256566 kb_relative_information_score 14.286286 kb_relative_information_score 13.319276 kb_relative_information_score 16.250274 kb_relative_information_score 14.530718 kb_relative_information_score 16.180149 kb_relative_information_score 13.595873 kb_relative_information_score 15.757457 kb_relative_information_score 15.449802 kb_relative_information_score 11.508883 kb_relative_information_score 16.154486 kb_relative_information_score 13.469316 kb_relative_information_score 13.974041 kb_relative_information_score 15.386906 kb_relative_information_score 15.232292 kb_relative_information_score 14.20489 kb_relative_information_score 14.220979 kb_relative_information_score 14.903206 kb_relative_information_score 15.734072 kb_relative_information_score 15.30566 kb_relative_information_score 14.685968 kb_relative_information_score 15.679102 kb_relative_information_score 10.883319 kb_relative_information_score 14.112473 kb_relative_information_score 13.728682 kb_relative_information_score 13.323729 kb_relative_information_score 13.316728 kb_relative_information_score 14.229345 kb_relative_information_score 14.002121 kb_relative_information_score 14.894545 kb_relative_information_score 13.866275 kb_relative_information_score 15.247971 kb_relative_information_score 14.347034 kb_relative_information_score 14.695733 kb_relative_information_score 12.2265 kb_relative_information_score 9.842058 kb_relative_information_score 17.176459 kb_relative_information_score 12.198567 kb_relative_information_score 15.176316 kb_relative_information_score 14.818549 kb_relative_information_score 13.675127 kb_relative_information_score 11.001363 kb_relative_information_score 13.874112 kb_relative_information_score 13.205991 kb_relative_information_score 12.299071 kb_relative_information_score 12.83844 kb_relative_information_score 16.007033 kb_relative_information_score 11.633544 kb_relative_information_score 13.679084 kb_relative_information_score 14.165084 kb_relative_information_score 13.424373 kb_relative_information_score 13.201614 kb_relative_information_score 14.718806 kb_relative_information_score 14.591624 kb_relative_information_score 12.440698 kb_relative_information_score 14.811243 kb_relative_information_score 12.115171 kb_relative_information_score 13.821937 kb_relative_information_score 13.128045 kb_relative_information_score 13.108056 kb_relative_information_score 12.542797 kb_relative_information_score 11.161071 kb_relative_information_score 14.283367 kb_relative_information_score 12.040911 kb_relative_information_score 12.342508 kb_relative_information_score 15.207848 kb_relative_information_score 11.861733 kb_relative_information_score 13.641471 kb_relative_information_score 14.113069 kb_relative_information_score 10.96837 kb_relative_information_score 11.711217 kb_relative_information_score 14.360034 kb_relative_information_score 14.81342 kb_relative_information_score 13.235105 kb_relative_information_score 14.749 kb_relative_information_score 14.376153 kb_relative_information_score 14.437882 kb_relative_information_score 14.141491 mean_absolute_error 0.023699 mean_absolute_error 0.01578 mean_absolute_error 0.02293 mean_absolute_error 0.020872 mean_absolute_error 0.019803 mean_absolute_error 0.021969 mean_absolute_error 0.013676 mean_absolute_error 0.021698 mean_absolute_error 0.029405 mean_absolute_error 0.019964 mean_absolute_error 0.026525 mean_absolute_error 0.018982 mean_absolute_error 0.018143 mean_absolute_error 0.021337 mean_absolute_error 0.018387 mean_absolute_error 0.026111 mean_absolute_error 0.017482 mean_absolute_error 0.02292 mean_absolute_error 0.017947 mean_absolute_error 0.021161 mean_absolute_error 0.028938 mean_absolute_error 0.020024 mean_absolute_error 0.023175 mean_absolute_error 0.02446 mean_absolute_error 0.027777 mean_absolute_error 0.01487 mean_absolute_error 0.021849 mean_absolute_error 0.015999 mean_absolute_error 0.026445 mean_absolute_error 0.020597 mean_absolute_error 0.018967 mean_absolute_error 0.028794 mean_absolute_error 0.018316 mean_absolute_error 0.024267 mean_absolute_error 0.024464 mean_absolute_error 0.021654 mean_absolute_error 0.019723 mean_absolute_error 0.024997 mean_absolute_error 0.022872 mean_absolute_error 0.022555 mean_absolute_error 0.017485 mean_absolute_error 0.01862 mean_absolute_error 0.021819 mean_absolute_error 0.01712 mean_absolute_error 0.032629 mean_absolute_error 0.024444 mean_absolute_error 0.023258 mean_absolute_error 0.024911 mean_absolute_error 0.024799 mean_absolute_error 0.020847 mean_absolute_error 0.026503 mean_absolute_error 0.024011 mean_absolute_error 0.024682 mean_absolute_error 0.017124 mean_absolute_error 0.023571 mean_absolute_error 0.0227 mean_absolute_error 0.031139 mean_absolute_error 0.036759 mean_absolute_error 0.015348 mean_absolute_error 0.028016 mean_absolute_error 0.021848 mean_absolute_error 0.021836 mean_absolute_error 0.020948 mean_absolute_error 0.031617 mean_absolute_error 0.019504 mean_absolute_error 0.026753 mean_absolute_error 0.027882 mean_absolute_error 0.023744 mean_absolute_error 0.013626 mean_absolute_error 0.029027 mean_absolute_error 0.021772 mean_absolute_error 0.018538 mean_absolute_error 0.025756 mean_absolute_error 0.020943 mean_absolute_error 0.019176 mean_absolute_error 0.018745 mean_absolute_error 0.027962 mean_absolute_error 0.019726 mean_absolute_error 0.030099 mean_absolute_error 0.020622 mean_absolute_error 0.024261 mean_absolute_error 0.02469 mean_absolute_error 0.025346 mean_absolute_error 0.028739 mean_absolute_error 0.020459 mean_absolute_error 0.029822 mean_absolute_error 0.029019 mean_absolute_error 0.019007 mean_absolute_error 0.03053 mean_absolute_error 0.024381 mean_absolute_error 0.019631 mean_absolute_error 0.037084 mean_absolute_error 0.027369 mean_absolute_error 0.019029 mean_absolute_error 0.018926 mean_absolute_error 0.023332 mean_absolute_error 0.018408 mean_absolute_error 0.018766 mean_absolute_error 0.019582 mean_absolute_error 0.019064 mean_prior_absolute_error 0.072029 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072362 mean_prior_absolute_error 0.07313 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072014 mean_prior_absolute_error 0.071957 mean_prior_absolute_error 0.072681 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072217 mean_prior_absolute_error 0.072319 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072087 mean_prior_absolute_error 0.072754 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072435 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.073145 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072 mean_prior_absolute_error 0.071971 mean_prior_absolute_error 0.073174 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.072783 mean_prior_absolute_error 0.072304 mean_prior_absolute_error 0.072246 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072188 mean_prior_absolute_error 0.072261 mean_prior_absolute_error 0.072377 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.07287 mean_prior_absolute_error 0.072087 mean_prior_absolute_error 0.073072 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072377 mean_prior_absolute_error 0.072304 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.073174 mean_prior_absolute_error 0.072899 mean_prior_absolute_error 0.072116 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.072812 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.073043 mean_prior_absolute_error 0.072797 mean_prior_absolute_error 0.07229 mean_prior_absolute_error 0.072275 mean_prior_absolute_error 0.072101 mean_prior_absolute_error 0.073029 mean_prior_absolute_error 0.073101 mean_prior_absolute_error 0.072435 mean_prior_absolute_error 0.072768 mean_prior_absolute_error 0.072638 mean_prior_absolute_error 0.072682 mean_prior_absolute_error 0.072379 mean_prior_absolute_error 0.071818 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071379 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.072667 mean_prior_absolute_error 0.071864 mean_prior_absolute_error 0.072621 mean_prior_absolute_error 0.072303 mean_prior_absolute_error 0.072409 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.072636 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071576 mean_prior_absolute_error 0.072379 mean_prior_absolute_error 0.072758 mean_prior_absolute_error 0.071833 mean_prior_absolute_error 0.071894 mean_prior_absolute_error 0.072667 mean_prior_absolute_error 0.072288 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.073061 mean_prior_absolute_error 0.071848 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.071621 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.071803 mean_prior_absolute_error 0.072303 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.072273 mean_prior_absolute_error 0.072515 mean_prior_absolute_error 0.073182 mean_prior_absolute_error 0.072333 mean_prior_absolute_error 0.0725 mean_prior_absolute_error 0.071697 mean_prior_absolute_error 0.072258 mean_prior_absolute_error 0.071879 mean_prior_absolute_error 0.072288 mean_prior_absolute_error 0.0725 number_of_instances 23 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number_of_instances 23 [0,0,6,2,0,0,2,5,0,1,0,0,0,0,1,0,0,1,2,1,0,0,1,1] number_of_instances 23 [0,0,6,2,0,0,2,5,0,0,1,0,0,1,0,0,1,1,2,0,0,1,1,0] number_of_instances 23 [0,0,6,2,0,1,2,5,0,1,0,1,0,0,1,1,0,0,2,0,0,0,1,0] number_of_instances 23 [1,0,5,3,0,0,2,4,0,1,0,1,0,0,1,1,0,0,3,0,0,0,1,0] number_of_instances 23 [0,1,6,2,0,0,2,5,1,0,0,0,1,0,1,0,0,0,2,1,0,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,1,0,0,0,0,1,1,0,0,2,0,1,1,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,0,1,0,1,0,1,0,0,0,2,1,1,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,1,0,0,0,0,1,0,0,1,3,0,0,0,1,1] number_of_instances 23 [0,0,6,3,0,0,2,5,0,1,0,0,0,0,1,0,0,0,2,0,0,1,1,1] number_of_instances 23 [1,1,5,2,0,0,2,5,0,1,0,0,0,1,1,0,0,1,2,0,0,1,0,0] number_of_instances 23 [0,0,5,2,0,0,2,5,0,1,0,1,1,0,1,1,0,1,2,0,0,0,1,0] number_of_instances 23 [0,0,6,2,0,0,2,5,0,0,0,1,0,1,1,0,0,1,2,0,0,1,1,0] number_of_instances 23 [0,0,6,2,0,1,2,5,0,1,0,1,0,0,1,1,0,0,2,0,0,0,1,0] number_of_instances 23 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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 0.606061 [0,0,0.833333,0.666667,0,0,1,0.666667,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,1,0,0] precision 0.765152 [0,0,1,1,0,0,1,0.833333,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0] precision 0.780303 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,1,0] 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 0.746212 [0,0,0.833333,1,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.75,0,0,0,0,0] precision 0.719697 [0,0,1,1,0,0,0.666667,1,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0] precision 0.548701 [0,0,1,0.666667,0,0,0,0.714286,0,0.333333,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0] precision 0.714286 [0,0,0.857143,1,0,0,1,0.714286,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] 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 0.659091 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,0.25,0,0,0,1,0] precision 0.818182 [0,0,0.833333,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] precision 0.568182 [0,0,0.833333,1,0,0,1,0.5,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0] precision 0.689394 [0,0,0.833333,0.666667,0,0,0.666667,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,1,0] 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 0.65303 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0] precision 0.625 [0,0,0.625,0.333333,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] precision 0.728788 [0,0,1,1,0,0,0.666667,0.8,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,1,0] precision 0.765152 [0,0,1,0.666667,0,0,0.5,1,0,1,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0] precision 0.674242 [0,0,1,0.666667,0,0,1,0.75,0,1,0,0,0,0,0.5,0,0,0,0.5,0,0,0,0,0] 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 0.580808 [0,0,0.75,1,0,0,0,0.444444,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,0,0] precision 0.721212 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,0.333333,0,0,0,0.666667,0,0,0,0,0] 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 0.672727 [0,0,1,0.5,0,0,1,1,0,0.5,0,0,0,0,0.5,0,0,0,0.4,0,0,0,0,0] 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 0.72013 [0,0,0.857143,1,0,0,0.5,0.8,0,0.5,0,0,0,0,1,0,0,0,1,0,0,0,1,0] precision 0.700216 [0,0,0.833333,1,0,0,1,0.714286,0,0,0,0,0,0,0.5,0,0,0,0.666667,0,0,0,0,0] precision 0.75 [0,0,1,1,0,0,1,0.5,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] precision 0.727273 [0,0,0.75,0,0,0,1,1,0,1,0,0,0,0,0.5,0,0,0,1,0,0,1,0,0] precision 0.765584 [0,0,0.857143,1,0,0,1,0.8,0,1,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0] precision 0.703896 [0,0,0.714286,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] predictive_accuracy 0.782609 predictive_accuracy 0.869565 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.869565 predictive_accuracy 0.73913 predictive_accuracy 0.695652 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.652174 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.695652 predictive_accuracy 0.869565 predictive_accuracy 0.826087 predictive_accuracy 0.869565 predictive_accuracy 0.73913 predictive_accuracy 0.73913 predictive_accuracy 0.826087 predictive_accuracy 0.652174 predictive_accuracy 0.826087 predictive_accuracy 0.73913 predictive_accuracy 0.73913 predictive_accuracy 0.782609 predictive_accuracy 0.869565 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 0.826087 predictive_accuracy 0.695652 predictive_accuracy 0.73913 predictive_accuracy 0.695652 predictive_accuracy 0.826087 predictive_accuracy 0.782609 predictive_accuracy 0.73913 predictive_accuracy 0.608696 predictive_accuracy 0.608696 predictive_accuracy 0.869565 predictive_accuracy 0.73913 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.772727 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 0.636364 predictive_accuracy 0.818182 predictive_accuracy 0.818182 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.681818 predictive_accuracy 0.863636 predictive_accuracy 0.590909 predictive_accuracy 0.818182 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.681818 predictive_accuracy 0.818182 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.818182 predictive_accuracy 0.636364 predictive_accuracy 0.818182 predictive_accuracy 0.818182 predictive_accuracy 0.636364 predictive_accuracy 0.681818 predictive_accuracy 0.772727 predictive_accuracy 0.818182 predictive_accuracy 0.772727 predictive_accuracy 0.772727 predictive_accuracy 0.818182 predictive_accuracy 0.818182 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 0.782609 [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 0.869565 [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 0.782609 [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 0.73913 [0,0,0.8,0.666667,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,1,1,0] 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 0.869565 [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 0.73913 [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 0.695652 [0,0,0.833333,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.782609 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0] 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 0.782609 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] recall 0.695652 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0] recall 0.826087 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] 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 0.73913 [0,0,0.833333,0.333333,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] recall 0.782609 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] 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 0.869565 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,1,0,0,1,1,0] 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 0.869565 [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 [0,0,1,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] recall 0.73913 [0,0,1,0.5,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,1,0] 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 0.826087 [0,0,1,1,0,0,1,0.6,0,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0] recall 0.73913 [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 0.73913 [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 0.782609 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.869565 [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 0.695652 [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 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,0,0,0,1,1,0] 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 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.73913 [0,0,1,0.666667,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] 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 0.826087 [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 0.695652 [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 [0,0,1,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0] recall 0.695652 [0,0,0.833333,0,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] 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 0.782609 [0,0,0.833333,1,0,0,1,0.8,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.73913 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] 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 0.608696 [0,0,0.833333,0.5,0,0,1,0.8,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0] 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 0.73913 [0,0,1,1,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.8,0,1,0,0,0,0,1,0,0,0,0.5,0,0,1,0,0] 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 0.772727 [0,0,1,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0] 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 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0] 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 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] 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 0.636364 [0,0,0.8,1,0,0,1,0.6,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0] recall 0.818182 [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 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.681818 [0,0,0.8,1,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,0.5,0,0,0,1,0] 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 0.681818 [0,0,0.8,1,0,0,1,0.8,0,1,0,0,0,0,0,0,0,0,0.5,0,0,0,1,0] recall 0.863636 [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 0.590909 [0,0,0.833333,1,0,0,0.5,0.6,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0] 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 0.681818 [0,0,0.833333,0.5,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] 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 0.727273 [0,0,0.833333,1,0,0,0.5,0.8,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.727273 [0,0,0.833333,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] 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 0.636364 [0,0,1,0.5,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,0,0] recall 0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0] 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 0.818182 [0,0,1,1,0,0,0.5,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] recall 0.772727 [0,0,0.833333,1,0,0,0.5,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0] recall 0.772727 [0,0,1,1,0,0,1,0.75,0,1,0,0,0,0,1,0,0,0,0.333333,0,0,0,1,0] recall 0.818182 [0,0,1,0,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,1,0,0] recall 0.818182 [0,0,1,1,0,0,1,1,0,1,0,0,0,0,1,0,0,0,0.666667,0,0,0,0,0] recall 0.772727 [0,0,0.833333,0.5,0,0,1,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,1,0] relative_absolute_error 0.329021 relative_absolute_error 0.218376 relative_absolute_error 0.316873 relative_absolute_error 0.285403 relative_absolute_error 0.274049 relative_absolute_error 0.305071 relative_absolute_error 0.190052 relative_absolute_error 0.298532 relative_absolute_error 0.406763 relative_absolute_error 0.276436 relative_absolute_error 0.366781 relative_absolute_error 0.262583 relative_absolute_error 0.251678 relative_absolute_error 0.293279 relative_absolute_error 0.254451 relative_absolute_error 0.360473 relative_absolute_error 0.241983 relative_absolute_error 0.31335 relative_absolute_error 0.248115 relative_absolute_error 0.292848 relative_absolute_error 0.400061 relative_absolute_error 0.278113 relative_absolute_error 0.322003 relative_absolute_error 0.334268 relative_absolute_error 0.380284 relative_absolute_error 0.205704 relative_absolute_error 0.302424 relative_absolute_error 0.219814 relative_absolute_error 0.365746 relative_absolute_error 0.285088 relative_absolute_error 0.262421 relative_absolute_error 0.398879 relative_absolute_error 0.253476 relative_absolute_error 0.335288 relative_absolute_error 0.334927 relative_absolute_error 0.297159 relative_absolute_error 0.273604 relative_absolute_error 0.342078 relative_absolute_error 0.316396 relative_absolute_error 0.312066 relative_absolute_error 0.241927 relative_absolute_error 0.25726 relative_absolute_error 0.301764 relative_absolute_error 0.236821 relative_absolute_error 0.445905 relative_absolute_error 0.335317 relative_absolute_error 0.322511 relative_absolute_error 0.344398 relative_absolute_error 0.340589 relative_absolute_error 0.288212 relative_absolute_error 0.362837 relative_absolute_error 0.329828 relative_absolute_error 0.341429 relative_absolute_error 0.236923 relative_absolute_error 0.326908 relative_absolute_error 0.31084 relative_absolute_error 0.425973 relative_absolute_error 0.507479 relative_absolute_error 0.210917 relative_absolute_error 0.385702 relative_absolute_error 0.300601 relative_absolute_error 0.301697 relative_absolute_error 0.291681 relative_absolute_error 0.440138 relative_absolute_error 0.273252 relative_absolute_error 0.368314 relative_absolute_error 0.3837 relative_absolute_error 0.330399 relative_absolute_error 0.187635 relative_absolute_error 0.401457 relative_absolute_error 0.300676 relative_absolute_error 0.255211 relative_absolute_error 0.354592 relative_absolute_error 0.291549 relative_absolute_error 0.267907 relative_absolute_error 0.258986 relative_absolute_error 0.384312 relative_absolute_error 0.274603 relative_absolute_error 0.418654 relative_absolute_error 0.283785 relative_absolute_error 0.33561 relative_absolute_error 0.340553 relative_absolute_error 0.346917 relative_absolute_error 0.399999 relative_absolute_error 0.282132 relative_absolute_error 0.416378 relative_absolute_error 0.400185 relative_absolute_error 0.264711 relative_absolute_error 0.422244 relative_absolute_error 0.33629 relative_absolute_error 0.271625 relative_absolute_error 0.511394 relative_absolute_error 0.37398 relative_absolute_error 0.26307 relative_absolute_error 0.261042 relative_absolute_error 0.325428 relative_absolute_error 0.254756 relative_absolute_error 0.261072 relative_absolute_error 0.270887 relative_absolute_error 0.262958 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 0.126039 root_mean_squared_error 0.094825 root_mean_squared_error 0.1248 root_mean_squared_error 0.113387 root_mean_squared_error 0.117421 root_mean_squared_error 0.126168 root_mean_squared_error 0.101331 root_mean_squared_error 0.120744 root_mean_squared_error 0.134195 root_mean_squared_error 0.118845 root_mean_squared_error 0.129061 root_mean_squared_error 0.111449 root_mean_squared_error 0.100116 root_mean_squared_error 0.112891 root_mean_squared_error 0.101146 root_mean_squared_error 0.138755 root_mean_squared_error 0.103105 root_mean_squared_error 0.134516 root_mean_squared_error 0.107745 root_mean_squared_error 0.123494 root_mean_squared_error 0.146671 root_mean_squared_error 0.114195 root_mean_squared_error 0.116369 root_mean_squared_error 0.127605 root_mean_squared_error 0.136894 root_mean_squared_error 0.100488 root_mean_squared_error 0.120066 root_mean_squared_error 0.100519 root_mean_squared_error 0.133318 root_mean_squared_error 0.114178 root_mean_squared_error 0.116099 root_mean_squared_error 0.144138 root_mean_squared_error 0.107533 root_mean_squared_error 0.135933 root_mean_squared_error 0.128087 root_mean_squared_error 0.117569 root_mean_squared_error 0.102367 root_mean_squared_error 0.132405 root_mean_squared_error 0.12951 root_mean_squared_error 0.123275 root_mean_squared_error 0.106153 root_mean_squared_error 0.109507 root_mean_squared_error 0.118926 root_mean_squared_error 0.099175 root_mean_squared_error 0.16694 root_mean_squared_error 0.122563 root_mean_squared_error 0.122757 root_mean_squared_error 0.135531 root_mean_squared_error 0.130263 root_mean_squared_error 0.11366 root_mean_squared_error 0.134999 root_mean_squared_error 0.128923 root_mean_squared_error 0.133479 root_mean_squared_error 0.098617 root_mean_squared_error 0.125877 root_mean_squared_error 0.125834 root_mean_squared_error 0.15306 root_mean_squared_error 0.162764 root_mean_squared_error 0.10048 root_mean_squared_error 0.138569 root_mean_squared_error 0.119769 root_mean_squared_error 0.122434 root_mean_squared_error 0.123848 root_mean_squared_error 0.154792 root_mean_squared_error 0.12248 root_mean_squared_error 0.139431 root_mean_squared_error 0.145497 root_mean_squared_error 0.126216 root_mean_squared_error 0.100079 root_mean_squared_error 0.137628 root_mean_squared_error 0.121519 root_mean_squared_error 0.118879 root_mean_squared_error 0.132711 root_mean_squared_error 0.121338 root_mean_squared_error 0.109744 root_mean_squared_error 0.109105 root_mean_squared_error 0.147472 root_mean_squared_error 0.106331 root_mean_squared_error 0.151958 root_mean_squared_error 0.119421 root_mean_squared_error 0.132647 root_mean_squared_error 0.138436 root_mean_squared_error 0.13948 root_mean_squared_error 0.148688 root_mean_squared_error 0.114017 root_mean_squared_error 0.138487 root_mean_squared_error 0.134346 root_mean_squared_error 0.105225 root_mean_squared_error 0.144447 root_mean_squared_error 0.118795 root_mean_squared_error 0.109712 root_mean_squared_error 0.159865 root_mean_squared_error 0.143594 root_mean_squared_error 0.116465 root_mean_squared_error 0.108915 root_mean_squared_error 0.12719 root_mean_squared_error 0.110537 root_mean_squared_error 0.117753 root_mean_squared_error 0.106975 root_mean_squared_error 0.124109 root_relative_squared_error 0.669186 root_relative_squared_error 0.501822 root_relative_squared_error 0.659517 root_relative_squared_error 0.592882 root_relative_squared_error 0.621403 root_relative_squared_error 0.670009 root_relative_squared_error 0.538552 root_relative_squared_error 0.635263 root_relative_squared_error 0.709885 root_relative_squared_error 0.629322 root_relative_squared_error 0.682449 root_relative_squared_error 0.589562 root_relative_squared_error 0.531117 root_relative_squared_error 0.593351 root_relative_squared_error 0.535274 root_relative_squared_error 0.732521 root_relative_squared_error 0.545751 root_relative_squared_error 0.703222 root_relative_squared_error 0.56962 root_relative_squared_error 0.653543 root_relative_squared_error 0.77541 root_relative_squared_error 0.606552 root_relative_squared_error 0.618353 root_relative_squared_error 0.666825 root_relative_squared_error 0.716648 root_relative_squared_error 0.531577 root_relative_squared_error 0.635528 root_relative_squared_error 0.528113 root_relative_squared_error 0.705104 root_relative_squared_error 0.604362 root_relative_squared_error 0.614285 root_relative_squared_error 0.763566 root_relative_squared_error 0.569078 root_relative_squared_error 0.718208 root_relative_squared_error 0.670543 root_relative_squared_error 0.616953 root_relative_squared_error 0.54306 root_relative_squared_error 0.692873 root_relative_squared_error 0.6851 root_relative_squared_error 0.652251 root_relative_squared_error 0.561658 root_relative_squared_error 0.578584 root_relative_squared_error 0.628985 root_relative_squared_error 0.52463 root_relative_squared_error 0.872378 root_relative_squared_error 0.6429 root_relative_squared_error 0.650966 root_relative_squared_error 0.716517 root_relative_squared_error 0.684108 root_relative_squared_error 0.60089 root_relative_squared_error 0.706725 root_relative_squared_error 0.677206 root_relative_squared_error 0.7061 root_relative_squared_error 0.521784 root_relative_squared_error 0.667644 root_relative_squared_error 0.658878 root_relative_squared_error 0.800639 root_relative_squared_error 0.859276 root_relative_squared_error 0.528013 root_relative_squared_error 0.72948 root_relative_squared_error 0.630125 root_relative_squared_error 0.646868 root_relative_squared_error 0.659516 root_relative_squared_error 0.824126 root_relative_squared_error 0.656334 root_relative_squared_error 0.734031 root_relative_squared_error 0.765649 root_relative_squared_error 0.671697 root_relative_squared_error 0.526974 root_relative_squared_error 0.72791 root_relative_squared_error 0.641762 root_relative_squared_error 0.625836 root_relative_squared_error 0.698657 root_relative_squared_error 0.646015 root_relative_squared_error 0.586429 root_relative_squared_error 0.576446 root_relative_squared_error 0.775063 root_relative_squared_error 0.566115 root_relative_squared_error 0.80834 root_relative_squared_error 0.628428 root_relative_squared_error 0.701715 root_relative_squared_error 0.730179 root_relative_squared_error 0.730012 root_relative_squared_error 0.791456 root_relative_squared_error 0.601253 root_relative_squared_error 0.739542 root_relative_squared_error 0.708453 root_relative_squared_error 0.560469 root_relative_squared_error 0.763977 root_relative_squared_error 0.626582 root_relative_squared_error 0.58051 root_relative_squared_error 0.843025 root_relative_squared_error 0.750298 root_relative_squared_error 0.615721 root_relative_squared_error 0.574471 root_relative_squared_error 0.678482 root_relative_squared_error 0.584999 root_relative_squared_error 0.626524 root_relative_squared_error 0.565909 root_relative_squared_error 0.654608 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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