228869 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1166 weka.A2DE(3) 1919 weka.classifiers.bayes.AveragedNDependenceEstimators.A2DE -- -F 1 -M 1.0 F 1 1166 M 1.0 1166 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 760343 description https://api.openml.org/data/download/760343/weka_generated_run1127423157545197359.xml -1 760346 model_readable https://api.openml.org/data/download/760346/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A2DE7302169991859852353.model -1 760345 model_serialized https://api.openml.org/data/download/760345/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A2DE1384016311050809802.model -1 760344 predictions https://api.openml.org/data/download/760344/weka_generated_predictions6166987265358088118.arff area_under_roc_curve 0.993139 [0.935004,0.996228,0.99264,0.0,1,0.994174] average_cost 0 f_measure 0.973447 [0.90411,0.906101,0.983036,0,0.991124,0.960409] kappa 0.933447 kb_relative_information_score 7946.672042 mean_absolute_error 0.016044 mean_prior_absolute_error 0.134305 number_of_instances 8980 [80,990,6840,0,670,400] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.973764 [1,0.95419,0.974978,0,0.982405,0.981723] predictive_accuracy 0.973942 prior_entropy 1.214875 recall 0.973942 [0.825,0.862626,0.991228,0,1,0.94] relative_absolute_error 0.119461 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.085458 root_relative_squared_error 0.330953 scimark_benchmark 918.021262 [502.084240498502, 989.450586616758, 434.1859290207269, 908.3298941433044, 1756.0556588021248] total_cost 0 usercpu_time_millis 190 usercpu_time_millis_testing 80 usercpu_time_millis_training 110 area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.996414 [1,0.995885,0.995859,0.0,1,1] area_under_roc_curve 0.999332 [1,0.99875,0.99931,0.0,1,1] area_under_roc_curve 0.998413 [1,1,0.99793,0.0,1,1] area_under_roc_curve 0.997884 [1,1,0.997239,0.0,1,1] area_under_roc_curve 0.998135 [1,0.9975,0.99793,0.0,1,1] area_under_roc_curve 0.976036 [1,0.98875,0.972395,0.0,1,0.965116] area_under_roc_curve 0.994544 [1,0.99375,0.993789,0.0,1,1] area_under_roc_curve 0.978284 [1,0.987654,0.974465,0.0,1,0.979651] area_under_roc_curve 0.999334 [1,0.998628,0.99931,0.0,1,1] area_under_roc_curve 0.984403 [1,0.9975,0.981366,0.0,1,0.976744] area_under_roc_curve 0.997563 [1,0.99625,0.997326,0.0,1,1] area_under_roc_curve 0.997189 [1,0.99375,0.997239,0.0,1,1] area_under_roc_curve 0.979753 [1,0.99375,0.975845,0.0,1,0.976744] area_under_roc_curve 0.98455 [1,0.98,0.982747,0.0,1,1] area_under_roc_curve 0.999332 [1,0.99875,0.99931,0.0,1,1] area_under_roc_curve 0.995767 [1,1,0.994479,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.992482 [0.837079,0.99625,0.993099,0.0,1,1] area_under_roc_curve 0.998942 [1,1,0.99862,0.0,1,1] area_under_roc_curve 0.99542 [0.769663,1,0.997326,0.0,1,1] area_under_roc_curve 0.984321 [0.786517,0.985,0.984817,0.0,1,1] area_under_roc_curve 0.985071 [1,0.99875,0.982057,0.0,1,0.976744] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.996938 [1,0.99625,0.996549,0.0,1,1] area_under_roc_curve 0.987867 [1,1,0.984626,0.0,1,0.988372] area_under_roc_curve 0.984542 [1,0.99875,0.981366,0.0,1,0.976744] area_under_roc_curve 0.994847 [0.808989,1,0.995989,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.999471 [1,1,0.99931,0.0,1,1] area_under_roc_curve 0.997336 [1,0.99875,0.996658,0.0,1,1] area_under_roc_curve 0.998942 [1,1,0.99862,0.0,1,1] area_under_roc_curve 0.998942 [1,1,0.99862,0.0,1,1] area_under_roc_curve 0.982278 [1,0.99875,0.97861,0.0,1,0.968023] area_under_roc_curve 0.994279 [0.820225,0.994513,0.995859,0.0,1,1] area_under_roc_curve 0.99154 [1,0.9875,0.990642,0.0,1,1] area_under_roc_curve 0.998942 [1,1,0.99862,0.0,1,1] area_under_roc_curve 0.998068 [1,0.99625,0.997995,0.0,1,1] area_under_roc_curve 0.994266 [1,0.99125,0.993789,0.0,1,1] area_under_roc_curve 0.992765 [0.803371,1,0.993316,0.0,1,1] area_under_roc_curve 0.995126 [1,0.9925,0.994652,0.0,1,1] area_under_roc_curve 0.998851 [1,0.99875,0.998663,0.0,1,1] area_under_roc_curve 0.998207 [1,0.9975,0.997995,0.0,1,1] area_under_roc_curve 0.991539 [0.808989,0.9975,0.991979,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.994482 [1,0.99125,0.993984,0.0,1,1] area_under_roc_curve 0.987104 [1,1,0.983957,0.0,1,0.982558] area_under_roc_curve 0.980456 [1,0.9925,0.976604,0.0,1,0.976744] area_under_roc_curve 0.995126 [1,0.9925,0.994652,0.0,1,1] area_under_roc_curve 0.995909 [1,0.995,0.995321,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.974832 [1,0.99875,0.968583,0.0,1,0.97093] area_under_roc_curve 0.994212 [0.842697,1,0.994652,0.0,1,1] area_under_roc_curve 0.985675 [1,0.9975,0.983289,0.0,1,0.968023] area_under_roc_curve 0.99899 [1,1,0.998663,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.986677 [0.814607,0.985,0.987299,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.967152 [1,0.9975,0.963904,0.0,1,0.880814] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.996275 [1,0.99375,0.995989,0.0,1,1] area_under_roc_curve 0.987836 [1,0.9975,0.985294,0.0,1,0.982558] area_under_roc_curve 0.993333 [1,0.99,0.992647,0.0,1,1] area_under_roc_curve 0.99899 [1,1,0.998663,0.0,1,1] area_under_roc_curve 0.977335 [1,0.98375,0.97393,0.0,1,0.973837] area_under_roc_curve 0.996107 [0.831461,1,0.997326,0.0,1,1] area_under_roc_curve 0.996692 [1,0.9975,0.995989,0.0,1,1] area_under_roc_curve 0.999495 [1,1,0.999332,0.0,1,1] area_under_roc_curve 0.998712 [1,0.9975,0.998663,0.0,1,1] area_under_roc_curve 0.99798 [1,1,0.997326,0.0,1,1] area_under_roc_curve 0.994934 [1,0.9925,0.994479,0.0,1,1] area_under_roc_curve 0.996692 [1,0.9975,0.995989,0.0,1,1] area_under_roc_curve 0.985282 [1,0.99375,0.981952,0.0,1,0.991279] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.991452 [1,0.99125,0.989973,0.0,1,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.995265 [1,0.99375,0.994652,0.0,1,1] area_under_roc_curve 0.991204 [1,0.9875,0.990338,0.0,1,1] area_under_roc_curve 0.999495 [1,1,0.999332,0.0,1,1] area_under_roc_curve 0.990945 [0.0,0.986076,0.990196,0.0,1,1] area_under_roc_curve 0.981926 [0.0,0.996203,0.978261,0.0,1,0.982353] area_under_roc_curve 0.999323 [0.0,0.998734,0.9993,0.0,1,1] area_under_roc_curve 0.999323 [0.0,0.998734,0.9993,0.0,1,1] area_under_roc_curve 1 [0.0,1,1,0.0,1,1] area_under_roc_curve 1 [0.0,1,1,0.0,1,1] area_under_roc_curve 0.99296 [0.0,0.987342,0.992754,0.0,1,1] area_under_roc_curve 1 [0.0,1,1,0.0,1,1] area_under_roc_curve 0.997049 [0.0,0.998734,0.996377,0.0,1,1] area_under_roc_curve 0.99811 [0.0,0.997468,0.997899,0.0,1,1] area_under_roc_curve 0.985408 [0.0,0.997468,0.981793,0.0,1,0.991176] area_under_roc_curve 0.986286 [0.0,1,0.983333,0.0,1,0.982353] area_under_roc_curve 0.983545 [0.0,0.997468,0.980392,0.0,1,0.973529] area_under_roc_curve 0.991907 [0.0,0.989873,0.990896,0.0,1,1] area_under_roc_curve 0.993258 [0.0,0.988889,0.992754,0.0,1,1] area_under_roc_curve 0.990382 [0.0,1,0.988796,0.0,1,0.976471] area_under_roc_curve 0.998592 [0.0,0.997468,0.998551,0.0,1,1] area_under_roc_curve 0.999323 [0.0,0.998734,0.9993,0.0,1,1] area_under_roc_curve 0.995918 [0.0,0.993671,0.995652,0.0,1,1] area_under_roc_curve 0.99918 [0.0,0.997468,0.9993,0.0,1,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.976548 [1,0.875,0.985714,0,1,1] f_measure 0.977778 [1,0.888889,0.985507,0,1,1] f_measure 0.989113 [1,0.952381,0.992701,0,1,1] f_measure 0.960231 [0,0.888889,0.978723,0,1,1] f_measure 0.976702 [1,0.888889,0.985714,0,1,1] f_measure 0.978306 [1,0.952381,0.985294,0,0.923077,1] f_measure 0.952447 [1,0.823529,0.971831,0,1,0.857143] f_measure 0.965979 [1,0.888889,0.978417,0,0.923077,1] f_measure 0.965993 [1,0.888889,0.978417,0,1,0.857143] f_measure 0.988602 [1,0.941176,0.992806,0,1,1] f_measure 0.957115 [1,0.947368,0.971014,0,1,0.666667] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.977778 [1,0.9,0.985507,0,1,1] f_measure 0.964993 [1,0.888889,0.978723,0,1,0.857143] f_measure 0.940134 [1,0.705882,0.964539,0,1,1] f_measure 0.989113 [1,0.952381,0.992701,0,1,1] f_measure 0.983373 [0,1,0.992806,0,1,1] f_measure 0.988636 [1,0.947368,0.992806,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.972089 [0,0.947368,0.985714,0,1,1] f_measure 0.977913 [1,0.947368,0.985507,0,0.923077,1] f_measure 0.983374 [0,1,0.992701,0,1,1] f_measure 0.937011 [0,0.777778,0.964539,0,1,1] f_measure 0.97685 [1,0.947368,0.985714,0,1,0.857143] f_measure 1 [1,1,1,0,1,1] f_measure 0.976702 [1,0.888889,0.985714,0,1,1] f_measure 0.988136 [1,1,0.992701,0,1,0.857143] f_measure 0.964993 [1,0.888889,0.978723,0,1,0.857143] f_measure 0.972091 [0,0.947368,0.985507,0,1,1] f_measure 0.988636 [1,0.947368,0.992806,0,1,1] f_measure 0.976702 [1,0.888889,0.985714,0,1,1] f_measure 0.977856 [1,0.947368,0.985294,0,0.933333,1] f_measure 0.977821 [1,0.941176,0.985507,0,0.933333,1] f_measure 0.976548 [1,0.875,0.985714,0,1,1] f_measure 0.960704 [0,0.952381,0.978102,0,1,0.857143] f_measure 0.947293 [0,0.8,0.971831,0,1,1] f_measure 0.965924 [1,0.888889,0.978102,0,0.933333,1] f_measure 0.976548 [1,0.875,0.985714,0,1,1] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.965909 [1,0.842105,0.978417,0,1,1] f_measure 0.983374 [0,1,0.992701,0,1,1] f_measure 0.965911 [1,0.842105,0.978102,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.95037 [0,0.9,0.970588,0,0.933333,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.955556 [1,0.8,0.970588,0,1,1] f_measure 0.988136 [1,1,0.992701,0,1,0.857143] f_measure 0.93908 [1,0.75,0.964539,0,1,0.857143] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.976704 [1,0.888889,0.985507,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.952174 [1,0.9,0.971014,0,1,0.666667] f_measure 0.983374 [0,1,0.992701,0,1,1] f_measure 0.966496 [1,0.947368,0.978102,0,1,0.75] f_measure 0.950635 [1,0.75,0.971429,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.949445 [0,0.842105,0.971014,0,1,1] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.935785 [0,0.9,0.964029,0,1,0.666667] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.964085 [1,0.823529,0.978417,0,1,1] f_measure 0.964998 [1,0.888889,0.978417,0,1,0.857143] f_measure 0.976704 [1,0.888889,0.985507,0,1,1] f_measure 0.976704 [1,0.888889,0.985507,0,1,1] f_measure 0.933862 [1,0.761905,0.955882,0,1,0.857143] f_measure 0.972091 [0,0.947368,0.985507,0,1,1] f_measure 0.955049 [1,0.842105,0.970588,0,0.933333,1] f_measure 0.989112 [1,0.952381,0.992593,0,1,1] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.964085 [1,0.823529,0.978417,0,1,1] f_measure 0.977778 [1,0.9,0.985507,0,1,1] f_measure 0.956543 [1,0.888889,0.970588,0,1,0.8] f_measure 0.941314 [1,0.9,0.963504,0,0.933333,0.666667] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.957446 [1,0.9,0.970149,0,1,0.8] f_measure 0.988637 [1,0.947368,0.992701,0,1,1] f_measure 0.977778 [1,0.9,0.985294,0,1,1] f_measure 0.942602 [1,0.777778,0.964029,0,0.923077,1] f_measure 0.964085 [1,0.823529,0.978417,0,1,1] f_measure 0.955898 [0,0.857143,0.970149,0,0.933333,1] f_measure 0.953688 [0,0.842105,0.971429,0,1,0.857143] f_measure 0.988509 [0,0.947368,0.992701,0,1,1] f_measure 0.977528 [0,0.9,0.985294,0,1,1] f_measure 1 [0,1,1,0,1,1] f_measure 0.989097 [0,1,0.992593,0,0.933333,1] f_measure 0.977528 [0,0.9,0.985507,0,1,1] f_measure 1 [0,1,1,0,1,1] f_measure 0.97644 [0,0.888889,0.985714,0,1,1] f_measure 0.988509 [0,0.947368,0.992701,0,1,1] f_measure 0.965613 [0,0.9,0.978102,0,1,0.857143] f_measure 0.9646 [0,0.888889,0.978723,0,1,0.857143] f_measure 0.964605 [0,0.888889,0.978417,0,1,0.857143] f_measure 0.965528 [0,0.842105,0.978102,0,1,1] f_measure 0.965422 [0,0.823529,0.978417,0,1,1] f_measure 0.988002 [0,1,0.992701,0,1,0.857143] f_measure 0.988509 [0,0.947368,0.992806,0,1,1] f_measure 0.977528 [0,0.9,0.985294,0,1,1] f_measure 0.988509 [0,0.947368,0.992806,0,1,1] f_measure 0.976442 [0,0.888889,0.985507,0,1,1] kappa 0.941406 kappa 0.943609 kappa 0.972265 kappa 0.91 kappa 0.94133 kappa 0.945586 kappa 0.877717 kappa 0.913766 kappa 0.913655 kappa 0.971264 kappa 0.887218 kappa 0.945619 kappa 0.943503 kappa 0.91009 kappa 0.850449 kappa 0.972265 kappa 0.971191 kappa 0.971218 kappa 0.972325 kappa 0.941157 kappa 0.943574 kappa 0.972248 kappa 0.85 kappa 0.941215 kappa 1 kappa 0.94133 kappa 0.972274 kappa 0.91009 kappa 0.943485 kappa 0.971218 kappa 0.94133 kappa 0.945669 kappa 0.943644 kappa 0.941406 kappa 0.916589 kappa 0.877717 kappa 0.917051 kappa 0.941406 kappa 0.945619 kappa 0.913655 kappa 0.972248 kappa 0.916974 kappa 0.972325 kappa 0.945619 kappa 0.891041 kappa 0.972325 kappa 0.891239 kappa 0.972274 kappa 0.850697 kappa 0.945619 kappa 0.943644 kappa 0.972325 kappa 0.886864 kappa 0.972248 kappa 0.916974 kappa 0.883041 kappa 0.972325 kappa 0.88697 kappa 0.972325 kappa 0.855538 kappa 0.972325 kappa 0.913903 kappa 0.913738 kappa 0.943644 kappa 0.943644 kappa 0.836562 kappa 0.943485 kappa 0.891337 kappa 0.973278 kappa 0.945619 kappa 0.913903 kappa 0.943503 kappa 0.891632 kappa 0.86124 kappa 0.972325 kappa 0.895288 kappa 0.972325 kappa 0.945619 kappa 0.856276 kappa 0.913903 kappa 0.890495 kappa 0.87656 kappa 0.971047 kappa 0.943167 kappa 1 kappa 0.972127 kappa 0.940824 kappa 1 kappa 0.938408 kappa 0.971047 kappa 0.912973 kappa 0.905487 kappa 0.909553 kappa 0.913142 kappa 0.909614 kappa 0.970991 kappa 0.96982 kappa 0.943167 kappa 0.96982 kappa 0.940981 kb_relative_information_score 80.223709 kb_relative_information_score 80.600065 kb_relative_information_score 80.392735 kb_relative_information_score 78.326333 kb_relative_information_score 80.835556 kb_relative_information_score 79.092246 kb_relative_information_score 70.658658 kb_relative_information_score 76.817359 kb_relative_information_score 73.377032 kb_relative_information_score 82.893293 kb_relative_information_score 76.41085 kb_relative_information_score 84.091139 kb_relative_information_score 79.930857 kb_relative_information_score 76.485989 kb_relative_information_score 73.360584 kb_relative_information_score 81.365841 kb_relative_information_score 80.357441 kb_relative_information_score 82.086039 kb_relative_information_score 83.888166 kb_relative_information_score 76.55837 kb_relative_information_score 81.742562 kb_relative_information_score 79.863066 kb_relative_information_score 70.65709 kb_relative_information_score 79.090958 kb_relative_information_score 85.100697 kb_relative_information_score 78.916613 kb_relative_information_score 80.44299 kb_relative_information_score 75.838687 kb_relative_information_score 80.935844 kb_relative_information_score 81.686114 kb_relative_information_score 82.687604 kb_relative_information_score 80.426608 kb_relative_information_score 81.297879 kb_relative_information_score 82.494912 kb_relative_information_score 79.62122 kb_relative_information_score 74.375941 kb_relative_information_score 78.639211 kb_relative_information_score 80.194344 kb_relative_information_score 83.20448 kb_relative_information_score 77.933812 kb_relative_information_score 78.701588 kb_relative_information_score 80.170783 kb_relative_information_score 84.134224 kb_relative_information_score 84.229633 kb_relative_information_score 76.952207 kb_relative_information_score 86.765662 kb_relative_information_score 80.740428 kb_relative_information_score 81.81061 kb_relative_information_score 76.615248 kb_relative_information_score 81.408474 kb_relative_information_score 79.683919 kb_relative_information_score 83.697973 kb_relative_information_score 77.46709 kb_relative_information_score 81.110546 kb_relative_information_score 80.63615 kb_relative_information_score 81.156036 kb_relative_information_score 86.553837 kb_relative_information_score 73.99068 kb_relative_information_score 87.059191 kb_relative_information_score 76.812993 kb_relative_information_score 84.934939 kb_relative_information_score 81.480491 kb_relative_information_score 79.836229 kb_relative_information_score 81.448108 kb_relative_information_score 85.464086 kb_relative_information_score 75.046484 kb_relative_information_score 80.346992 kb_relative_information_score 81.549905 kb_relative_information_score 85.254729 kb_relative_information_score 81.81024 kb_relative_information_score 81.230063 kb_relative_information_score 78.75731 kb_relative_information_score 82.443428 kb_relative_information_score 74.455104 kb_relative_information_score 83.899903 kb_relative_information_score 79.187197 kb_relative_information_score 84.790647 kb_relative_information_score 81.412974 kb_relative_information_score 75.051721 kb_relative_information_score 84.030225 kb_relative_information_score 72.361293 kb_relative_information_score 71.671192 kb_relative_information_score 80.845607 kb_relative_information_score 80.665776 kb_relative_information_score 80.390717 kb_relative_information_score 79.195412 kb_relative_information_score 72.670476 kb_relative_information_score 81.501292 kb_relative_information_score 75.900619 kb_relative_information_score 79.049506 kb_relative_information_score 75.483087 kb_relative_information_score 73.704362 kb_relative_information_score 74.696306 kb_relative_information_score 74.411384 kb_relative_information_score 72.662598 kb_relative_information_score 78.02113 kb_relative_information_score 74.939804 kb_relative_information_score 80.499952 kb_relative_information_score 74.440026 kb_relative_information_score 78.530558 mean_absolute_error 0.014526 mean_absolute_error 0.013961 mean_absolute_error 0.014848 mean_absolute_error 0.019578 mean_absolute_error 0.013278 mean_absolute_error 0.017938 mean_absolute_error 0.026175 mean_absolute_error 0.022031 mean_absolute_error 0.025824 mean_absolute_error 0.011593 mean_absolute_error 0.017195 mean_absolute_error 0.011645 mean_absolute_error 0.014518 mean_absolute_error 0.017978 mean_absolute_error 0.023706 mean_absolute_error 0.013915 mean_absolute_error 0.015576 mean_absolute_error 0.01346 mean_absolute_error 0.015073 mean_absolute_error 0.015393 mean_absolute_error 0.012622 mean_absolute_error 0.013304 mean_absolute_error 0.025858 mean_absolute_error 0.014715 mean_absolute_error 0.00676 mean_absolute_error 0.017763 mean_absolute_error 0.017407 mean_absolute_error 0.020124 mean_absolute_error 0.012723 mean_absolute_error 0.013905 mean_absolute_error 0.010159 mean_absolute_error 0.019458 mean_absolute_error 0.013897 mean_absolute_error 0.012223 mean_absolute_error 0.017988 mean_absolute_error 0.01629 mean_absolute_error 0.020925 mean_absolute_error 0.015299 mean_absolute_error 0.014752 mean_absolute_error 0.018777 mean_absolute_error 0.016319 mean_absolute_error 0.017353 mean_absolute_error 0.013618 mean_absolute_error 0.011309 mean_absolute_error 0.020273 mean_absolute_error 0.008763 mean_absolute_error 0.019169 mean_absolute_error 0.01621 mean_absolute_error 0.0218 mean_absolute_error 0.018126 mean_absolute_error 0.020612 mean_absolute_error 0.015889 mean_absolute_error 0.018634 mean_absolute_error 0.012639 mean_absolute_error 0.015613 mean_absolute_error 0.016358 mean_absolute_error 0.008655 mean_absolute_error 0.022583 mean_absolute_error 0.007722 mean_absolute_error 0.019015 mean_absolute_error 0.013328 mean_absolute_error 0.017293 mean_absolute_error 0.016415 mean_absolute_error 0.016969 mean_absolute_error 0.010092 mean_absolute_error 0.027446 mean_absolute_error 0.014624 mean_absolute_error 0.015599 mean_absolute_error 0.010702 mean_absolute_error 0.017221 mean_absolute_error 0.018289 mean_absolute_error 0.018198 mean_absolute_error 0.014706 mean_absolute_error 0.02752 mean_absolute_error 0.014033 mean_absolute_error 0.022367 mean_absolute_error 0.013244 mean_absolute_error 0.016656 mean_absolute_error 0.023883 mean_absolute_error 0.013659 mean_absolute_error 0.025086 mean_absolute_error 0.01784 mean_absolute_error 0.009042 mean_absolute_error 0.009413 mean_absolute_error 0.011427 mean_absolute_error 0.011339 mean_absolute_error 0.01903 mean_absolute_error 0.008025 mean_absolute_error 0.012615 mean_absolute_error 0.012098 mean_absolute_error 0.014935 mean_absolute_error 0.015265 mean_absolute_error 0.016703 mean_absolute_error 0.020047 mean_absolute_error 0.01921 mean_absolute_error 0.01164 mean_absolute_error 0.016762 mean_absolute_error 0.009081 mean_absolute_error 0.015166 mean_absolute_error 0.013276 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133342 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.13321 mean_prior_absolute_error 0.135738 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.131132 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 mean_prior_absolute_error 0.130999 mean_prior_absolute_error 0.133555 number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,9,69,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,69,0,6,4] number_of_instances 89 [0,10,68,0,7,4] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.977778 [1,0.888889,0.985507,0,1,1] precision 0.989899 [1,0.909091,1,0,1,1] precision 0.956944 [0,1,0.958333,0,1,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.980375 [1,0.909091,1,0,0.857143,1] precision 0.957991 [1,1,0.945205,0,1,1] precision 0.968571 [1,1,0.971429,0,0.857143,1] precision 0.966984 [1,0.888889,0.971429,0,1,1] precision 0.989048 [1,1,0.985714,0,1,1] precision 0.96 [1,1,0.971014,0,1,0.6] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.977778 [1,0.9,0.985507,0,1,1] precision 0.968056 [1,1,0.958333,0,1,1] precision 0.941534 [1,0.857143,0.944444,0,1,1] precision 0.989899 [1,0.909091,1,0,1,1] precision 0.977937 [0,1,0.985714,0,1,1] precision 0.989048 [1,1,0.985714,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.967293 [0,1,0.971831,0,1,1] precision 0.979365 [1,1,0.985507,0,0.857143,1] precision 0.977939 [0,1,0.985507,0,1,1] precision 0.932407 [0,0.875,0.944444,0,1,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 1 [1,1,1,0,1,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.968056 [1,1,0.958333,0,1,1] precision 0.967302 [0,1,0.971429,0,1,1] precision 0.989048 [1,1,0.985714,0,1,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.979167 [1,1,0.985294,0,0.875,1] precision 0.979167 [1,1,0.985507,0,0.875,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.956888 [0,0.909091,0.971014,0,1,1] precision 0.94688 [0,1,0.945205,0,1,1] precision 0.968378 [1,1,0.971014,0,0.875,1] precision 0.978404 [1,1,0.971831,0,1,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.96575 [1,0.888889,0.971429,0,1,1] precision 0.977939 [0,1,0.985507,0,1,1] precision 0.965754 [1,0.888889,0.971014,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.945833 [0,0.9,0.970588,0,0.875,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.955556 [1,0.8,0.970588,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.94825 [1,1,0.931507,0,1,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.978413 [1,1,0.971429,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.956508 [1,0.9,0.957143,0,1,1] precision 0.977939 [0,1,0.985507,0,1,1] precision 0.966989 [1,1,0.971014,0,1,0.75] precision 0.958025 [1,1,0.944444,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.944162 [0,0.888889,0.957143,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.935211 [0,0.9,0.943662,0,1,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.978413 [1,1,0.971429,0,1,1] precision 0.978413 [1,1,0.971429,0,1,1] precision 0.936364 [1,0.727273,0.955882,0,1,1] precision 0.967302 [0,1,0.971429,0,1,1] precision 0.95571 [1,0.888889,0.970588,0,0.875,1] precision 0.989899 [1,0.909091,1,0,1,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.977778 [1,0.9,0.985507,0,1,1] precision 0.962963 [1,1,0.970588,0,1,0.666667] precision 0.946316 [1,0.9,0.956522,0,0.875,1] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.962626 [1,0.9,0.984848,0,1,0.666667] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.977778 [1,0.9,0.985294,0,1,1] precision 0.94373 [1,0.875,0.957143,0,0.857143,1] precision 0.968075 [1,1,0.957746,0,1,1] precision 0.958163 [0,0.818182,0.984848,0,0.875,1] precision 0.954757 [0,0.888889,0.957746,0,1,1] precision 0.988927 [0,1,0.985507,0,1,1] precision 0.977528 [0,0.9,0.985294,0,1,1] precision 1 [0,1,1,0,1,1] precision 0.990169 [0,1,1,0,0.875,1] precision 0.977528 [0,0.9,0.985507,0,1,1] precision 1 [0,1,1,0,1,1] precision 0.978161 [0,1,0.971831,0,1,1] precision 0.988927 [0,1,0.985507,0,1,1] precision 0.966618 [0,0.9,0.971014,0,1,1] precision 0.967697 [0,1,0.958333,0,1,1] precision 0.967716 [0,1,0.957746,0,1,1] precision 0.965369 [0,0.888889,0.971014,0,1,1] precision 0.965209 [0,0.875,0.971429,0,1,1] precision 0.988927 [0,1,0.985507,0,1,1] precision 0.988925 [0,1,0.985714,0,1,1] precision 0.977528 [0,0.9,0.985294,0,1,1] precision 0.988925 [0,1,0.985714,0,1,1] precision 0.97817 [0,1,0.971429,0,1,1] predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.988889 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.944444 predictive_accuracy 0.988889 predictive_accuracy 0.988889 predictive_accuracy 0.988889 predictive_accuracy 0.988889 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 1 predictive_accuracy 0.977778 predictive_accuracy 0.988889 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.988889 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.988889 predictive_accuracy 0.966667 predictive_accuracy 0.988889 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.966667 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.944444 predictive_accuracy 0.988889 predictive_accuracy 0.966667 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.977778 predictive_accuracy 0.933333 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.977778 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.988889 predictive_accuracy 0.977778 predictive_accuracy 0.944444 predictive_accuracy 0.966667 predictive_accuracy 0.955056 predictive_accuracy 0.955056 predictive_accuracy 0.988764 predictive_accuracy 0.977528 predictive_accuracy 1 predictive_accuracy 0.988764 predictive_accuracy 0.977528 predictive_accuracy 1 predictive_accuracy 0.977528 predictive_accuracy 0.988764 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.988764 predictive_accuracy 0.988764 predictive_accuracy 0.977528 predictive_accuracy 0.988764 predictive_accuracy 0.977528 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 prior_entropy 1.214875 recall 0.977778 [1,0.777778,1,0,1,1] recall 0.977778 [1,0.888889,0.985507,0,1,1] recall 0.988889 [1,1,0.985507,0,1,1] recall 0.966667 [0,0.8,1,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.977778 [1,1,0.971014,0,1,1] recall 0.955556 [1,0.7,1,0,1,0.75] recall 0.966667 [1,0.8,0.985507,0,1,1] recall 0.966667 [1,0.888889,0.985507,0,1,0.75] recall 0.988889 [1,0.888889,1,0,1,1] recall 0.955556 [1,0.9,0.971014,0,1,0.75] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.966667 [1,0.8,1,0,1,0.75] recall 0.944444 [1,0.6,0.985507,0,1,1] recall 0.988889 [1,1,0.985507,0,1,1] recall 0.988889 [0,1,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.977778 [0,0.9,1,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.988889 [0,1,1,0,1,1] recall 0.944444 [0,0.7,0.985507,0,1,1] recall 0.977778 [1,0.9,1,0,1,0.75] recall 1 [1,1,1,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.988889 [1,1,1,0,1,0.75] recall 0.966667 [1,0.8,1,0,1,0.75] recall 0.977778 [0,0.9,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.977778 [1,0.888889,0.985507,0,1,1] recall 0.977778 [1,0.777778,1,0,1,1] recall 0.966667 [0,1,0.985294,0,1,0.75] recall 0.955556 [0,0.666667,1,0,1,1] recall 0.966667 [1,0.8,0.985294,0,1,1] recall 0.977778 [1,0.777778,1,0,1,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.966667 [1,0.8,0.985507,0,1,1] recall 0.988889 [0,1,1,0,1,1] recall 0.966667 [1,0.8,0.985294,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.955556 [0,0.9,0.970588,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.988889 [1,1,1,0,1,0.75] recall 0.944444 [1,0.6,1,0,1,0.75] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.955556 [1,0.9,0.985294,0,1,0.5] recall 0.988889 [0,1,1,0,1,1] recall 0.966667 [1,0.9,0.985294,0,1,0.75] recall 0.955556 [1,0.6,1,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.955556 [0,0.8,0.985294,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.944444 [0,0.9,0.985294,0,1,0.5] recall 0.988889 [1,0.9,1,0,1,1] recall 0.966667 [1,0.7,1,0,1,1] recall 0.966667 [1,0.8,1,0,1,0.75] recall 0.977778 [1,0.8,1,0,1,1] recall 0.977778 [1,0.8,1,0,1,1] recall 0.933333 [1,0.8,0.955882,0,1,0.75] recall 0.977778 [0,0.9,1,0,1,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.988889 [1,1,0.985294,0,1,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.966667 [1,0.7,1,0,1,1] recall 0.977778 [1,0.9,0.985507,0,1,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.944444 [1,0.9,0.970588,0,1,0.5] recall 0.988889 [1,0.9,1,0,1,1] recall 0.955556 [1,0.9,0.955882,0,1,1] recall 0.988889 [1,0.9,1,0,1,1] recall 0.977778 [1,0.9,0.985294,0,1,1] recall 0.944444 [1,0.7,0.971014,0,1,1] recall 0.966667 [1,0.7,1,0,1,1] recall 0.955056 [0,0.9,0.955882,0,1,1] recall 0.955056 [0,0.8,0.985507,0,1,0.75] recall 0.988764 [0,0.9,1,0,1,1] recall 0.977528 [0,0.9,0.985294,0,1,1] recall 1 [0,1,1,0,1,1] recall 0.988764 [0,1,0.985294,0,1,1] recall 0.977528 [0,0.9,0.985507,0,1,1] recall 1 [0,1,1,0,1,1] recall 0.977528 [0,0.8,1,0,1,1] recall 0.988764 [0,0.9,1,0,1,1] recall 0.966292 [0,0.9,0.985294,0,1,0.75] recall 0.966292 [0,0.8,1,0,1,0.75] recall 0.966292 [0,0.8,1,0,1,0.75] recall 0.966292 [0,0.8,0.985294,0,1,1] recall 0.966292 [0,0.777778,0.985507,0,1,1] recall 0.988764 [0,1,1,0,1,0.75] recall 0.988764 [0,0.9,1,0,1,1] recall 0.977528 [0,0.9,0.985294,0,1,1] recall 0.988764 [0,0.9,1,0,1,1] recall 0.977528 [0,0.8,1,0,1,1] relative_absolute_error 0.108941 relative_absolute_error 0.104702 relative_absolute_error 0.111463 relative_absolute_error 0.146967 relative_absolute_error 0.099676 relative_absolute_error 0.13466 relative_absolute_error 0.196493 relative_absolute_error 0.165388 relative_absolute_error 0.193668 relative_absolute_error 0.08694 relative_absolute_error 0.129083 relative_absolute_error 0.085789 relative_absolute_error 0.108982 relative_absolute_error 0.134959 relative_absolute_error 0.177959 relative_absolute_error 0.104457 relative_absolute_error 0.116814 relative_absolute_error 0.101046 relative_absolute_error 0.111044 relative_absolute_error 0.115555 relative_absolute_error 0.094752 relative_absolute_error 0.098014 relative_absolute_error 0.194113 relative_absolute_error 0.110467 relative_absolute_error 0.050747 relative_absolute_error 0.133342 relative_absolute_error 0.128241 relative_absolute_error 0.151072 relative_absolute_error 0.093731 relative_absolute_error 0.104384 relative_absolute_error 0.076264 relative_absolute_error 0.143347 relative_absolute_error 0.104221 relative_absolute_error 0.091664 relative_absolute_error 0.132518 relative_absolute_error 0.122166 relative_absolute_error 0.154157 relative_absolute_error 0.114733 relative_absolute_error 0.108681 relative_absolute_error 0.140957 relative_absolute_error 0.120222 relative_absolute_error 0.127843 relative_absolute_error 0.100327 relative_absolute_error 0.083318 relative_absolute_error 0.149352 relative_absolute_error 0.064559 relative_absolute_error 0.141219 relative_absolute_error 0.119423 relative_absolute_error 0.160601 relative_absolute_error 0.133534 relative_absolute_error 0.151848 relative_absolute_error 0.117057 relative_absolute_error 0.137278 relative_absolute_error 0.093116 relative_absolute_error 0.115026 relative_absolute_error 0.120512 relative_absolute_error 0.063765 relative_absolute_error 0.166371 relative_absolute_error 0.056886 relative_absolute_error 0.140089 relative_absolute_error 0.098192 relative_absolute_error 0.127399 relative_absolute_error 0.120935 relative_absolute_error 0.125016 relative_absolute_error 0.074352 relative_absolute_error 0.2022 relative_absolute_error 0.107733 relative_absolute_error 0.114923 relative_absolute_error 0.07884 relative_absolute_error 0.12687 relative_absolute_error 0.134735 relative_absolute_error 0.13661 relative_absolute_error 0.108344 relative_absolute_error 0.202742 relative_absolute_error 0.103381 relative_absolute_error 0.164781 relative_absolute_error 0.097571 relative_absolute_error 0.122708 relative_absolute_error 0.179291 relative_absolute_error 0.100629 relative_absolute_error 0.187831 relative_absolute_error 0.136186 relative_absolute_error 0.0677 relative_absolute_error 0.070479 relative_absolute_error 0.085559 relative_absolute_error 0.084898 relative_absolute_error 0.145271 relative_absolute_error 0.060084 relative_absolute_error 0.0963 relative_absolute_error 0.090582 relative_absolute_error 0.111823 relative_absolute_error 0.116529 relative_absolute_error 0.125066 relative_absolute_error 0.150101 relative_absolute_error 0.146493 relative_absolute_error 0.087153 relative_absolute_error 0.127957 relative_absolute_error 0.067996 relative_absolute_error 0.115772 relative_absolute_error 0.099403 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256345 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256089 root_mean_prior_squared_error 0.260978 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251998 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_prior_squared_error 0.251735 root_mean_prior_squared_error 0.256762 root_mean_squared_error 0.088136 root_mean_squared_error 0.084738 root_mean_squared_error 0.070106 root_mean_squared_error 0.086395 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