229118 2 Joaquin Vanschoren 1882 Supervised Classification predictive_accuracy 1185 weka.Bagging_REPTree(8) 2032 weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 100 1185 S 1 1185 num-slots 1 1185 I 10 1185 W weka.classifiers.trees.REPTree 1185 weka weka_3.7.12 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 761330 description https://api.openml.org/data/download/761330/weka_generated_run5993808942143340625.xml -1 761333 model_readable https://api.openml.org/data/download/761333/WekaModel_weka.classifiers.meta.Bagging5820427916917886313.model -1 761332 model_serialized https://api.openml.org/data/download/761332/WekaSerialized_weka.classifiers.meta.Bagging8538167209864205098.model -1 761331 predictions https://api.openml.org/data/download/761331/weka_generated_predictions1113397960124117246.arff area_under_roc_curve 0.981748 [0.897052,0.987093,0.980836,0.0,0.99472,0.979324] average_cost 0 f_measure 0.932934 [0.769231,0.805167,0.958668,0,0.8739,0.940731] kappa 0.831228 kb_relative_information_score 6739.717233 mean_absolute_error 0.041842 mean_prior_absolute_error 0.134305 number_of_instances 8980 [80,990,6840,0,670,400] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.933407 [1,0.861751,0.949391,0,0.85879,0.949109] predictive_accuracy 0.934187 prior_entropy 1.214875 recall 0.934187 [0.625,0.755556,0.968129,0,0.889552,0.9325] relative_absolute_error 0.311545 root_mean_prior_squared_error 0.258218 root_mean_squared_error 0.12984 root_relative_squared_error 0.502832 scimark_benchmark 1413.088986 [800.8451154200513, 976.1676952090706, 528.1563344955795, 1108.4312851708987, 3651.844499004649] total_cost 0 usercpu_time_millis 120 usercpu_time_millis_testing 10 usercpu_time_millis_training 110 area_under_roc_curve 0.990939 [0.988764,0.979424,0.991028,0.0,1,1] area_under_roc_curve 0.988129 [1,0.990398,0.985852,0.0,1,0.998547] area_under_roc_curve 0.97994 [1,0.98375,0.977226,0.0,0.988095,1] area_under_roc_curve 0.982741 [1,0.975625,0.981021,0.0,1,1] area_under_roc_curve 0.990443 [1,0.99375,0.988958,0.0,0.994048,1] area_under_roc_curve 0.995575 [1,0.98875,0.995859,0.0,1,1] area_under_roc_curve 0.979188 [1,0.991875,0.977571,0.0,1,0.938953] area_under_roc_curve 0.98125 [1,0.98125,0.978606,0.0,0.996032,1] area_under_roc_curve 0.9794 [1,0.984911,0.979986,0.0,1,0.915698] area_under_roc_curve 0.99548 [1,0.994513,0.995169,0.0,0.996558,1] area_under_roc_curve 0.972705 [1,0.99875,0.969634,0.0,1,0.912791] area_under_roc_curve 0.984434 [1,0.98625,0.981952,0.0,0.994836,1] area_under_roc_curve 0.991104 [1,0.99375,0.990338,0.0,0.988095,1] area_under_roc_curve 0.979762 [1,0.986875,0.979641,0.0,0.996032,0.934593] area_under_roc_curve 0.932804 [1,0.925,0.923395,0.0,0.998016,1] area_under_roc_curve 0.987612 [1,0.98375,0.986197,0.0,1,1] area_under_roc_curve 0.981732 [0.988764,0.995885,0.978606,0.0,0.986231,0.994186] area_under_roc_curve 0.98956 [1,0.989375,0.987923,0.0,1,1] area_under_roc_curve 0.991218 [1,0.986875,0.990307,0.0,1,1] area_under_roc_curve 0.96884 [0.438202,0.978125,0.971014,0.0,0.996032,1] area_under_roc_curve 0.991432 [1,0.993125,0.989993,0.0,0.998016,1] area_under_roc_curve 0.988742 [0.466292,0.9975,0.993316,0.0,1,1] area_under_roc_curve 0.98508 [0.398876,0.9925,0.990338,0.0,1,1] area_under_roc_curve 0.981973 [1,0.98875,0.979986,0.0,0.992063,0.979651] area_under_roc_curve 0.988347 [1,0.9975,0.986197,0.0,0.988095,1] area_under_roc_curve 0.97834 [1,0.98125,0.975155,0.0,0.992063,1] area_under_roc_curve 0.988497 [1,0.9925,0.989305,0.0,0.998279,0.944767] area_under_roc_curve 0.983396 [1,0.99375,0.984817,0.0,0.996032,0.909884] area_under_roc_curve 0.976723 [0.410112,0.995,0.978944,0.0,1,0.994186] area_under_roc_curve 0.987809 [0.977528,0.980625,0.987233,0.0,1,1] area_under_roc_curve 0.999861 [1,0.99875,1,0.0,1,1] area_under_roc_curve 0.979762 [1,0.9775,0.977941,0.0,0.986231,1] area_under_roc_curve 0.986809 [1,0.993827,0.984472,0.0,0.991394,1] area_under_roc_curve 0.985551 [1,0.995885,0.983437,0.0,0.982788,1] area_under_roc_curve 0.989587 [0.977528,0.995,0.987968,0.0,1,0.988372] area_under_roc_curve 0.975044 [0.393258,0.973937,0.979641,0.0,1,1] area_under_roc_curve 0.979822 [0.932584,0.97875,0.977941,0.0,0.994836,1] area_under_roc_curve 0.984441 [1,0.97668,0.982747,0.0,1,1] area_under_roc_curve 0.98853 [1,0.9925,0.986631,0.0,0.993115,1] area_under_roc_curve 0.976438 [1,0.983125,0.97205,0.0,1,0.994186] area_under_roc_curve 0.977679 [0.404494,0.985,0.981952,0.0,0.994836,1] area_under_roc_curve 0.988441 [1,0.990625,0.986965,0.0,0.991394,1] area_under_roc_curve 0.984448 [0.988764,0.9875,0.981952,0.0,0.994836,1] area_under_roc_curve 0.99322 [1,0.995,0.992647,0.0,0.991394,1] area_under_roc_curve 0.975039 [0.410112,0.9925,0.977273,0.0,0.994836,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.979179 [1,0.97625,0.975936,0.0,1,1] area_under_roc_curve 0.981889 [1,0.9925,0.983289,0.0,1,0.895349] area_under_roc_curve 0.988791 [1,0.991875,0.990976,0.0,1,0.921512] area_under_roc_curve 0.985326 [1,0.99,0.983289,0.0,0.987952,1] area_under_roc_curve 0.956244 [1,0.97,0.949866,0.0,0.967298,1] area_under_roc_curve 1 [1,1,1,0.0,1,1] area_under_roc_curve 0.989586 [1,0.99625,0.987299,0.0,0.994836,1] area_under_roc_curve 0.971337 [0.370787,0.9825,0.974599,0.0,0.993115,1] area_under_roc_curve 0.981363 [1,0.99125,0.979612,0.0,1,0.949128] area_under_roc_curve 0.980157 [1,0.98625,0.975936,0.0,0.998279,1] area_under_roc_curve 0.996563 [1,0.99875,0.995989,0.0,0.996558,1] area_under_roc_curve 0.969346 [0.376404,0.96375,0.97393,0.0,1,1] area_under_roc_curve 0.985217 [1,0.98875,0.98262,0.0,0.994836,1] area_under_roc_curve 0.975168 [1,0.99,0.981283,0.0,0.993115,0.796512] area_under_roc_curve 0.995878 [0.94382,0.99125,0.996658,0.0,1,1] area_under_roc_curve 0.972684 [1,0.98375,0.966578,0.0,1,0.994186] area_under_roc_curve 0.981206 [1,0.99,0.980615,0.0,1,0.931686] area_under_roc_curve 0.984573 [1,0.9875,0.981952,0.0,0.994836,1] area_under_roc_curve 0.992487 [1,0.9975,0.99131,0.0,0.991394,1] area_under_roc_curve 0.961208 [1,0.97375,0.959225,0.0,0.989673,0.90407] area_under_roc_curve 0.979753 [0.410112,0.988125,0.983623,0.0,1,1] area_under_roc_curve 0.991472 [1,0.99625,0.989973,0.0,0.993115,1] area_under_roc_curve 0.989934 [0.966292,0.99125,0.988636,0.0,0.998279,1] area_under_roc_curve 0.978843 [1,0.985,0.975267,0.0,0.989673,1] area_under_roc_curve 0.993106 [1,0.9925,0.991979,0.0,1,1] area_under_roc_curve 0.987892 [0.977528,0.98375,0.986888,0.0,1,1] area_under_roc_curve 0.974363 [1,0.994375,0.96758,0.0,1,0.988372] area_under_roc_curve 0.981677 [1,0.9875,0.977941,0.0,0.996558,1] area_under_roc_curve 0.988641 [0.966292,0.9875,0.987299,0.0,1,1] area_under_roc_curve 0.969338 [0.966292,0.99625,0.962567,0.0,0.986231,0.988372] area_under_roc_curve 0.990733 [1,0.991875,0.989639,0.0,0.993115,1] area_under_roc_curve 0.984569 [1,0.991875,0.980949,0.0,0.998279,1] area_under_roc_curve 0.988383 [1,0.991875,0.986542,0.0,0.994048,1] area_under_roc_curve 0.98554 [1,0.995,0.981952,0.0,0.996558,1] area_under_roc_curve 0.990061 [0.0,0.994937,0.988095,0.0,0.996516,1] area_under_roc_curve 0.983091 [0.0,0.987975,0.980797,0.0,0.993976,0.994118] area_under_roc_curve 0.99572 [0.0,1,0.994398,0.0,1,1] area_under_roc_curve 0.991961 [0.0,0.987975,0.991246,0.0,1,1] area_under_roc_curve 0.989766 [0.0,0.989873,0.988095,0.0,1,1] area_under_roc_curve 0.992271 [0.0,0.98481,0.992297,0.0,0.998258,1] area_under_roc_curve 0.988344 [0.0,0.993671,0.986232,0.0,0.995984,1] area_under_roc_curve 0.988771 [0.0,0.993038,0.987045,0.0,0.993031,1] area_under_roc_curve 0.979903 [0.0,0.987342,0.976087,0.0,0.997992,1] area_under_roc_curve 0.985737 [0.0,0.987342,0.983193,0.0,1,1] area_under_roc_curve 0.963928 [0.0,0.981013,0.962885,0.0,0.989547,0.894118] area_under_roc_curve 0.966864 [0.0,0.972152,0.962319,0.0,1,0.982353] area_under_roc_curve 0.974347 [0.0,0.979114,0.976541,0.0,0.989547,0.898529] area_under_roc_curve 0.981128 [0.0,0.989241,0.977241,0.0,0.996516,1] area_under_roc_curve 0.97283 [0.0,0.959028,0.970652,0.0,0.996516,1] area_under_roc_curve 0.986105 [0.0,0.994937,0.988095,0.0,1,0.905882] area_under_roc_curve 0.992127 [0.0,0.991139,0.991304,0.0,0.997992,1] area_under_roc_curve 0.994189 [0.0,0.991139,0.993697,0.0,1,1] area_under_roc_curve 0.972896 [0.0,0.965823,0.971739,0.0,0.97992,1] area_under_roc_curve 0.986489 [0.0,0.991772,0.984244,0.0,0.993031,1] 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 0.910648 [0,0.666667,0.958333,0,0.833333,1] f_measure 0.933831 [1,0.777778,0.955882,0,0.933333,0.888889] f_measure 0.895157 [1,0.736842,0.93617,0,0.6,1] f_measure 0.930605 [0,0.727273,0.963504,0,1,1] f_measure 0.937164 [1,0.888889,0.955882,0,0.75,1] f_measure 0.965282 [1,0.888889,0.978723,0,0.909091,1] f_measure 0.93134 [1,0.777778,0.957143,0,1,0.75] f_measure 0.905 [1,0.625,0.942857,0,0.857143,1] f_measure 0.920319 [1,0.75,0.94964,0,0.875,0.857143] f_measure 0.942365 [1,0.875,0.964539,0,0.769231,1] f_measure 0.946371 [1,0.952381,0.962963,0,0.923077,0.666667] f_measure 0.942548 [1,0.777778,0.963504,0,0.933333,1] f_measure 0.893667 [1,0.75,0.937063,0,0.545455,1] f_measure 0.931662 [1,0.823529,0.957143,0,0.857143,0.857143] f_measure 0.905311 [1,0.588235,0.942857,0,0.923077,1] f_measure 0.902407 [1,0.625,0.944444,0,0.8,1] f_measure 0.917284 [0,0.888889,0.956522,0,0.714286,0.888889] f_measure 0.95012 [0,0.857143,0.978417,0,1,0.857143] f_measure 0.9269 [0,0.777778,0.963504,0,0.875,1] f_measure 0.928488 [0,0.842105,0.956522,0,0.857143,1] f_measure 0.978306 [1,0.952381,0.985294,0,0.923077,1] f_measure 0.960751 [0,0.947368,0.978417,0,0.923077,1] f_measure 0.925617 [0,0.842105,0.957746,0,0.8,1] f_measure 0.930974 [1,0.777778,0.957143,0,0.923077,0.857143] f_measure 0.934919 [1,0.857143,0.955882,0,0.769231,1] f_measure 0.907876 [0,0.761905,0.948905,0,0.769231,1] f_measure 0.95422 [1,0.888889,0.971014,0,0.933333,0.857143] f_measure 0.920827 [1,0.777778,0.94964,0,0.857143,0.857143] f_measure 0.950617 [0,0.9,0.970588,0,1,0.888889] f_measure 0.951899 [0,0.818182,0.978102,0,1,1] f_measure 0.939355 [1,0.75,0.965035,0,0.909091,1] f_measure 0.89576 [0,0.736842,0.941176,0,0.75,1] f_measure 0.929563 [0,0.842105,0.963504,0,0.8,1] f_measure 0.910265 [1,0.8,0.942857,0,0.666667,1] f_measure 0.938784 [0,0.857143,0.971014,0,0.923077,0.857143] f_measure 0.933511 [0,0.714286,0.965035,0,1,1] f_measure 0.897257 [0,0.736842,0.940299,0,0.777778,1] f_measure 0.887584 [0,0.625,0.944444,0,0.727273,1] f_measure 0.931657 [1,0.842105,0.956522,0,0.769231,1] f_measure 0.922556 [1,0.7,0.948905,0,1,0.888889] f_measure 0.918072 [0,0.761905,0.948148,0,0.933333,1] f_measure 0.953307 [1,0.823529,0.971014,0,0.933333,1] f_measure 0.917405 [0,0.818182,0.955882,0,0.769231,1] f_measure 0.942527 [1,0.888889,0.964029,0,0.769231,1] f_measure 0.938845 [0,0.888889,0.963504,0,0.933333,0.888889] f_measure 0.988502 [1,1,0.992701,0,0.923077,1] f_measure 0.955556 [1,0.8,0.970588,0,1,1] f_measure 0.930596 [1,0.777778,0.957143,0,0.923077,0.857143] f_measure 0.941781 [1,0.777778,0.964029,0,1,0.857143] f_measure 0.907143 [1,0.75,0.942857,0,0.8,0.857143] f_measure 0.898867 [1,0.666667,0.933333,0,0.823529,1] f_measure 0.947302 [1,1,0.971429,0,0.6,1] f_measure 0.931019 [1,0.9,0.955882,0,0.875,0.666667] f_measure 0.902285 [0,0.705882,0.942029,0,0.933333,0.888889] f_measure 0.907052 [1,0.705882,0.942857,0,0.923077,0.75] f_measure 0.91816 [1,0.705882,0.94964,0,0.857143,1] f_measure 0.954643 [1,0.888889,0.971014,0,0.857143,1] f_measure 0.923828 [0,0.705882,0.957143,0,1,1] f_measure 0.920621 [1,0.736842,0.948905,0,0.933333,0.857143] f_measure 0.873188 [0,0.8,0.937063,0,0.6,0.666667] f_measure 0.961694 [0,0.909091,0.985294,0,0.923077,1] f_measure 0.915346 [1,0.625,0.94964,0,1,0.888889] f_measure 0.941267 [1,0.823529,0.964539,0,0.923077,0.857143] f_measure 0.933073 [1,0.842105,0.955882,0,0.857143,0.888889] f_measure 0.942527 [1,0.888889,0.964029,0,0.769231,1] f_measure 0.89922 [1,0.736842,0.934307,0,0.8,0.857143] f_measure 0.939092 [0,0.8,0.963504,0,1,1] f_measure 0.954643 [1,0.888889,0.971014,0,0.857143,1] f_measure 0.950312 [0,0.9,0.978102,0,0.923077,0.888889] f_measure 0.921861 [1,0.736842,0.948148,0,0.875,1] f_measure 0.925952 [1,0.625,0.957143,0,1,1] f_measure 0.940212 [0,0.761905,0.971014,0,1,1] f_measure 0.922058 [1,0.777778,0.948148,0,0.933333,0.8] f_measure 0.891312 [0,0.736842,0.942029,0,0.875,0.666667] f_measure 0.951897 [0,0.818182,0.977778,0,1,1] f_measure 0.92 [0,0.909091,0.954545,0,0.8,0.8] f_measure 0.933567 [1,0.842105,0.955882,0,0.8,1] f_measure 0.944856 [1,0.9,0.962963,0,0.857143,0.888889] f_measure 0.943767 [1,0.842105,0.964029,0,0.833333,1] f_measure 0.929249 [1,0.75,0.956522,0,0.933333,0.888889] f_measure 0.932821 [0,0.842105,0.955882,0,0.8,1] f_measure 0.944418 [0,0.9,0.963504,0,0.857143,0.857143] f_measure 0.98899 [0,0.952381,0.992593,0,1,1] f_measure 0.965983 [0,0.9,0.978102,0,0.923077,1] f_measure 0.965528 [0,0.842105,0.978102,0,1,1] f_measure 0.954133 [0,0.888889,0.971014,0,0.857143,1] f_measure 0.914608 [0,0.777778,0.951049,0,0.666667,1] f_measure 0.966435 [0,0.952381,0.977778,0,0.857143,1] f_measure 0.931538 [0,0.736842,0.956522,0,0.923077,1] f_measure 0.945223 [0,0.818182,0.962963,0,0.923077,1] f_measure 0.908588 [0,0.777778,0.942029,0,0.8,0.857143] f_measure 0.932214 [0,0.8,0.956522,0,0.923077,0.857143] f_measure 0.902541 [0,0.625,0.942857,0,0.933333,0.857143] f_measure 0.90693 [0,0.705882,0.942029,0,0.8,1] f_measure 0.892779 [0,0.533333,0.935252,0,0.875,1] f_measure 0.942305 [0,0.842105,0.964029,0,0.923077,0.857143] f_measure 0.952835 [0,0.823529,0.971429,0,0.923077,1] f_measure 0.954325 [0,0.888889,0.971014,0,0.923077,0.888889] f_measure 0.907972 [0,0.666667,0.942029,0,0.857143,1] f_measure 0.932584 [0,0.8,0.955882,0,0.857143,1] kappa 0.776596 kappa 0.8373 kappa 0.73009 kappa 0.833127 kappa 0.837349 kappa 0.91015 kappa 0.82399 kappa 0.76593 kappa 0.798786 kappa 0.850498 kappa 0.866588 kappa 0.861751 kappa 0.719432 kappa 0.824104 kappa 0.765625 kappa 0.745042 kappa 0.802446 kappa 0.884319 kappa 0.833795 kappa 0.830455 kappa 0.945586 kappa 0.913572 kappa 0.815888 kappa 0.823875 kappa 0.836759 kappa 0.777778 kappa 0.887183 kappa 0.798658 kappa 0.89114 kappa 0.888752 kappa 0.844129 kappa 0.755065 kappa 0.833641 kappa 0.765777 kappa 0.858312 kappa 0.843967 kappa 0.76378 kappa 0.712562 kappa 0.830774 kappa 0.806213 kappa 0.812612 kappa 0.887394 kappa 0.808975 kappa 0.856368 kappa 0.861624 kappa 0.972299 kappa 0.891239 kappa 0.824047 kappa 0.85623 kappa 0.765854 kappa 0.760142 kappa 0.882583 kappa 0.836562 kappa 0.774577 kappa 0.765854 kappa 0.799107 kappa 0.887289 kappa 0.824047 kappa 0.806094 kappa 0.68652 kappa 0.918132 kappa 0.799491 kappa 0.850548 kappa 0.837153 kappa 0.856368 kappa 0.750693 kappa 0.86124 kappa 0.887289 kappa 0.889094 kappa 0.813278 kappa 0.824561 kappa 0.858357 kappa 0.813775 kappa 0.745203 kappa 0.892825 kappa 0.822435 kappa 0.837006 kappa 0.866627 kappa 0.856092 kappa 0.831408 kappa 0.829665 kappa 0.855002 kappa 0.9721 kappa 0.913058 kappa 0.913142 kappa 0.881963 kappa 0.769345 kappa 0.916301 kappa 0.822709 kappa 0.86037 kappa 0.763691 kappa 0.822355 kappa 0.754229 kappa 0.76416 kappa 0.729209 kappa 0.849101 kappa 0.876987 kappa 0.88208 kappa 0.763926 kappa 0.829502 kb_relative_information_score 68.661209 kb_relative_information_score 64.946019 kb_relative_information_score 67.086499 kb_relative_information_score 68.245586 kb_relative_information_score 68.885178 kb_relative_information_score 68.665566 kb_relative_information_score 67.476575 kb_relative_information_score 66.020249 kb_relative_information_score 64.537968 kb_relative_information_score 72.666224 kb_relative_information_score 68.088771 kb_relative_information_score 70.723613 kb_relative_information_score 69.575492 kb_relative_information_score 65.221827 kb_relative_information_score 61.407105 kb_relative_information_score 67.315892 kb_relative_information_score 63.803987 kb_relative_information_score 66.577202 kb_relative_information_score 70.611944 kb_relative_information_score 61.923106 kb_relative_information_score 73.814782 kb_relative_information_score 70.553573 kb_relative_information_score 67.276227 kb_relative_information_score 63.103827 kb_relative_information_score 70.739136 kb_relative_information_score 63.454102 kb_relative_information_score 71.683757 kb_relative_information_score 66.877491 kb_relative_information_score 68.573966 kb_relative_information_score 67.18135 kb_relative_information_score 71.10747 kb_relative_information_score 65.639467 kb_relative_information_score 67.360959 kb_relative_information_score 67.384787 kb_relative_information_score 67.202964 kb_relative_information_score 64.69017 kb_relative_information_score 63.946337 kb_relative_information_score 66.296817 kb_relative_information_score 71.651891 kb_relative_information_score 67.008041 kb_relative_information_score 61.860077 kb_relative_information_score 70.254075 kb_relative_information_score 65.027098 kb_relative_information_score 74.738688 kb_relative_information_score 63.529325 kb_relative_information_score 79.772653 kb_relative_information_score 70.057924 kb_relative_information_score 68.378421 kb_relative_information_score 69.026102 kb_relative_information_score 69.476537 kb_relative_information_score 61.835053 kb_relative_information_score 77.289667 kb_relative_information_score 70.675539 kb_relative_information_score 63.515367 kb_relative_information_score 68.761622 kb_relative_information_score 68.21907 kb_relative_information_score 73.185077 kb_relative_information_score 64.092471 kb_relative_information_score 70.859092 kb_relative_information_score 60.702013 kb_relative_information_score 67.70651 kb_relative_information_score 66.898581 kb_relative_information_score 68.82273 kb_relative_information_score 69.673269 kb_relative_information_score 75.623718 kb_relative_information_score 61.525721 kb_relative_information_score 68.658934 kb_relative_information_score 71.779016 kb_relative_information_score 70.763524 kb_relative_information_score 68.47232 kb_relative_information_score 72.426091 kb_relative_information_score 65.97867 kb_relative_information_score 70.37839 kb_relative_information_score 65.452774 kb_relative_information_score 70.200174 kb_relative_information_score 66.61984 kb_relative_information_score 70.020396 kb_relative_information_score 70.607719 kb_relative_information_score 68.681823 kb_relative_information_score 68.547881 kb_relative_information_score 66.509416 kb_relative_information_score 60.076069 kb_relative_information_score 69.837554 kb_relative_information_score 72.488746 kb_relative_information_score 67.461213 kb_relative_information_score 66.693849 kb_relative_information_score 63.278595 kb_relative_information_score 70.482657 kb_relative_information_score 64.240737 kb_relative_information_score 65.526529 kb_relative_information_score 58.175426 kb_relative_information_score 57.827962 kb_relative_information_score 59.921096 kb_relative_information_score 65.61002 kb_relative_information_score 57.740542 kb_relative_information_score 64.78704 kb_relative_information_score 64.712386 kb_relative_information_score 69.009422 kb_relative_information_score 58.365193 kb_relative_information_score 68.891699 mean_absolute_error 0.039279 mean_absolute_error 0.048664 mean_absolute_error 0.042154 mean_absolute_error 0.038416 mean_absolute_error 0.039038 mean_absolute_error 0.038755 mean_absolute_error 0.039192 mean_absolute_error 0.045646 mean_absolute_error 0.043506 mean_absolute_error 0.034671 mean_absolute_error 0.038407 mean_absolute_error 0.040309 mean_absolute_error 0.038517 mean_absolute_error 0.043352 mean_absolute_error 0.049022 mean_absolute_error 0.039448 mean_absolute_error 0.049526 mean_absolute_error 0.04211 mean_absolute_error 0.038606 mean_absolute_error 0.046148 mean_absolute_error 0.031583 mean_absolute_error 0.036435 mean_absolute_error 0.037628 mean_absolute_error 0.047547 mean_absolute_error 0.036002 mean_absolute_error 0.048017 mean_absolute_error 0.036441 mean_absolute_error 0.039229 mean_absolute_error 0.03966 mean_absolute_error 0.041023 mean_absolute_error 0.03629 mean_absolute_error 0.05108 mean_absolute_error 0.040041 mean_absolute_error 0.044189 mean_absolute_error 0.04122 mean_absolute_error 0.041801 mean_absolute_error 0.049815 mean_absolute_error 0.042137 mean_absolute_error 0.039743 mean_absolute_error 0.043069 mean_absolute_error 0.04973 mean_absolute_error 0.042191 mean_absolute_error 0.048271 mean_absolute_error 0.032283 mean_absolute_error 0.046535 mean_absolute_error 0.027198 mean_absolute_error 0.042872 mean_absolute_error 0.044015 mean_absolute_error 0.042461 mean_absolute_error 0.042938 mean_absolute_error 0.057018 mean_absolute_error 0.032671 mean_absolute_error 0.041508 mean_absolute_error 0.047604 mean_absolute_error 0.041326 mean_absolute_error 0.042259 mean_absolute_error 0.03832 mean_absolute_error 0.046435 mean_absolute_error 0.041282 mean_absolute_error 0.047543 mean_absolute_error 0.044339 mean_absolute_error 0.047984 mean_absolute_error 0.043528 mean_absolute_error 0.043296 mean_absolute_error 0.031272 mean_absolute_error 0.054484 mean_absolute_error 0.038594 mean_absolute_error 0.039671 mean_absolute_error 0.039886 mean_absolute_error 0.045535 mean_absolute_error 0.039824 mean_absolute_error 0.04103 mean_absolute_error 0.04328 mean_absolute_error 0.050381 mean_absolute_error 0.041251 mean_absolute_error 0.046996 mean_absolute_error 0.043482 mean_absolute_error 0.04049 mean_absolute_error 0.042398 mean_absolute_error 0.045363 mean_absolute_error 0.040644 mean_absolute_error 0.042953 mean_absolute_error 0.033567 mean_absolute_error 0.028823 mean_absolute_error 0.03945 mean_absolute_error 0.039262 mean_absolute_error 0.040022 mean_absolute_error 0.032041 mean_absolute_error 0.037993 mean_absolute_error 0.041676 mean_absolute_error 0.05109 mean_absolute_error 0.047259 mean_absolute_error 0.046461 mean_absolute_error 0.038692 mean_absolute_error 0.050751 mean_absolute_error 0.041348 mean_absolute_error 0.038769 mean_absolute_error 0.035485 mean_absolute_error 0.047174 mean_absolute_error 0.035181 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 0.910889 [0,0.833333,0.92,0,1,1] precision 0.936281 [1,0.777778,0.970149,0,0.875,0.8] precision 0.894753 [1,0.777778,0.916667,0,0.75,1] precision 0.929303 [0,0.666667,0.970588,0,1,1] precision 0.950448 [1,1,0.970149,0,0.6,1] precision 0.968056 [1,1,0.958333,0,1,1] precision 0.931808 [1,0.875,0.943662,0,1,0.75] precision 0.910824 [1,0.833333,0.929577,0,0.75,1] precision 0.924621 [1,0.857143,0.942857,0,0.777778,1] precision 0.944444 [1,1,0.944444,0,0.833333,1] precision 0.950981 [1,0.909091,0.984848,0,0.857143,0.6] precision 0.943539 [1,0.875,0.956522,0,0.875,1] precision 0.900811 [1,1,0.905405,0,0.6,1] precision 0.940141 [1,1,0.943662,0,0.75,1] precision 0.90474 [1,0.714286,0.929577,0,0.857143,1] precision 0.909926 [1,0.833333,0.906667,0,1,1] precision 0.913333 [0,0.888889,0.956522,0,0.714286,0.8] precision 0.946782 [0,0.818182,0.971429,0,1,1] precision 0.924866 [0,0.875,0.956522,0,0.777778,1] precision 0.926543 [0,0.888889,0.956522,0,0.75,1] precision 0.980375 [1,0.909091,1,0,0.857143,1] precision 0.956964 [0,1,0.957746,0,1,1] precision 0.924032 [0,0.888889,0.931507,0,1,1] precision 0.933395 [1,0.875,0.943662,0,0.857143,1] precision 0.937865 [1,0.818182,0.970149,0,0.714286,1] precision 0.905715 [0,0.727273,0.955882,0,0.714286,1] precision 0.957897 [1,1,0.957143,0,0.875,1] precision 0.925635 [1,0.875,0.942857,0,0.75,1] precision 0.946667 [0,0.9,0.970588,0,1,0.8] precision 0.949837 [0,0.75,0.985294,0,1,1] precision 0.948198 [1,1,0.932432,0,1,1] precision 0.893827 [0,0.777778,0.941176,0,0.666667,1] precision 0.926895 [0,0.8,0.970588,0,0.75,1] precision 0.916843 [1,1,0.929577,0,0.625,1] precision 0.936306 [0,0.818182,0.957143,0,1,1] precision 0.937087 [0,1,0.932432,0,1,1] precision 0.901571 [0,0.777778,0.954545,0,0.636364,1] precision 0.888762 [0,0.714286,0.906667,0,1,1] precision 0.931517 [1,0.888889,0.942857,0,0.833333,1] precision 0.923954 [1,0.7,0.955882,0,1,0.8] precision 0.915033 [0,0.727273,0.955224,0,0.875,1] precision 0.957897 [1,1,0.957143,0,0.875,1] precision 0.914815 [0,0.75,0.955882,0,0.833333,1] precision 0.944471 [1,1,0.943662,0,0.833333,1] precision 0.937428 [0,1,0.956522,0,0.875,0.8] precision 0.98905 [1,1,0.985507,0,1,1] precision 0.955556 [1,0.8,0.970588,0,1,1] precision 0.933642 [1,0.875,0.930556,0,1,1] precision 0.943545 [1,0.875,0.943662,0,1,1] precision 0.917593 [1,1,0.916667,0,0.75,1] precision 0.903781 [1,0.75,0.940299,0,0.7,1] precision 0.958025 [1,1,0.944444,0,1,1] precision 0.938272 [1,0.9,0.955882,0,0.777778,1] precision 0.900437 [0,0.857143,0.928571,0,0.875,0.8] precision 0.910053 [1,0.857143,0.916667,0,1,0.75] precision 0.919808 [1,0.857143,0.929577,0,0.857143,1] precision 0.956508 [1,1,0.957143,0,0.857143,1] precision 0.920547 [0,0.857143,0.930556,0,1,1] precision 0.921786 [1,0.777778,0.942029,0,0.875,1] precision 0.886074 [0,0.8,0.893333,0,1,1] precision 0.959259 [0,0.833333,0.985294,0,1,1] precision 0.919384 [1,0.833333,0.929577,0,1,0.8] precision 0.94825 [1,1,0.931507,0,1,1] precision 0.934321 [1,0.888889,0.955882,0,0.857143,0.8] precision 0.944471 [1,1,0.943662,0,0.833333,1] precision 0.901114 [1,0.777778,0.927536,0,0.75,1] precision 0.933816 [0,0.8,0.956522,0,1,1] precision 0.956508 [1,1,0.957143,0,0.857143,1] precision 0.946989 [0,0.9,0.971014,0,1,0.8] precision 0.924194 [1,0.777778,0.955224,0,0.777778,1] precision 0.929012 [1,0.833333,0.930556,0,1,1] precision 0.936364 [0,0.727273,0.971014,0,1,1] precision 0.927743 [1,0.875,0.955224,0,0.875,0.666667] precision 0.892945 [0,0.777778,0.928571,0,0.777778,1] precision 0.949834 [0,0.75,0.985075,0,1,1] precision 0.924306 [0,0.833333,0.984375,0,0.75,0.666667] precision 0.934877 [1,0.888889,0.955882,0,0.75,1] precision 0.946335 [1,0.9,0.970149,0,0.857143,0.8] precision 0.943686 [1,0.888889,0.957143,0,0.833333,1] precision 0.938214 [1,1,0.942857,0,0.875,0.8] precision 0.934145 [0,0.888889,0.955882,0,0.75,1] precision 0.949108 [0,0.9,0.970588,0,0.75,1] precision 0.989785 [0,0.909091,1,0,1,1] precision 0.966618 [0,0.9,0.971014,0,1,1] precision 0.965369 [0,0.888889,0.971014,0,1,1] precision 0.956019 [0,1,0.957143,0,0.857143,1] precision 0.923094 [0,0.875,0.918919,0,1,1] precision 0.967146 [0,0.909091,0.985075,0,0.857143,1] precision 0.931693 [0,0.777778,0.956522,0,0.857143,1] precision 0.949103 [0,0.75,0.970149,0,1,1] precision 0.911717 [0,0.875,0.928571,0,0.75,1] precision 0.934189 [0,0.8,0.956522,0,0.857143,1] precision 0.907772 [0,0.833333,0.916667,0,0.875,1] precision 0.909711 [0,0.857143,0.928571,0,0.75,1] precision 0.893437 [0,0.666667,0.928571,0,0.777778,1] precision 0.944471 [0,0.888889,0.943662,0,1,1] precision 0.957611 [0,1,0.957746,0,0.857143,1] precision 0.958266 [0,1,0.957143,0,1,0.8] precision 0.910112 [0,0.75,0.942029,0,0.75,1] precision 0.932584 [0,0.8,0.955882,0,0.857143,1] predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.9 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.966667 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.9 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.977778 predictive_accuracy 0.966667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.955556 predictive_accuracy 0.944444 predictive_accuracy 0.9 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.9 predictive_accuracy 0.9 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.988889 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.911111 predictive_accuracy 0.9 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.911111 predictive_accuracy 0.911111 predictive_accuracy 0.922222 predictive_accuracy 0.955556 predictive_accuracy 0.933333 predictive_accuracy 0.922222 predictive_accuracy 0.888889 predictive_accuracy 0.966667 predictive_accuracy 0.922222 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.9 predictive_accuracy 0.944444 predictive_accuracy 0.955556 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.922222 predictive_accuracy 0.9 predictive_accuracy 0.955556 predictive_accuracy 0.922222 predictive_accuracy 0.933333 predictive_accuracy 0.944444 predictive_accuracy 0.944444 predictive_accuracy 0.933333 predictive_accuracy 0.932584 predictive_accuracy 0.94382 predictive_accuracy 0.988764 predictive_accuracy 0.966292 predictive_accuracy 0.966292 predictive_accuracy 0.955056 predictive_accuracy 0.921348 predictive_accuracy 0.966292 predictive_accuracy 0.932584 predictive_accuracy 0.94382 predictive_accuracy 0.910112 predictive_accuracy 0.932584 predictive_accuracy 0.910112 predictive_accuracy 0.910112 predictive_accuracy 0.898876 predictive_accuracy 0.94382 predictive_accuracy 0.955056 predictive_accuracy 0.955056 predictive_accuracy 0.910112 predictive_accuracy 0.932584 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 0.922222 [0,0.555556,1,0,0.714286,1] recall 0.933333 [1,0.777778,0.942029,0,1,1] recall 0.9 [1,0.7,0.956522,0,0.5,1] recall 0.933333 [0,0.8,0.956522,0,1,1] recall 0.933333 [1,0.8,0.942029,0,1,1] recall 0.966667 [1,0.8,1,0,0.833333,1] recall 0.933333 [1,0.7,0.971014,0,1,0.75] recall 0.911111 [1,0.5,0.956522,0,1,1] recall 0.922222 [1,0.666667,0.956522,0,1,0.75] recall 0.944444 [1,0.777778,0.985507,0,0.714286,1] recall 0.944444 [1,1,0.942029,0,1,0.75] recall 0.944444 [1,0.7,0.970588,0,1,1] recall 0.9 [1,0.6,0.971014,0,0.5,1] recall 0.933333 [1,0.7,0.971014,0,1,0.75] recall 0.911111 [1,0.5,0.956522,0,1,1] recall 0.911111 [1,0.5,0.985507,0,0.666667,1] recall 0.922222 [0,0.888889,0.956522,0,0.714286,1] recall 0.955556 [0,0.9,0.985507,0,1,0.75] recall 0.933333 [0,0.7,0.970588,0,1,1] recall 0.933333 [0,0.8,0.956522,0,1,1] recall 0.977778 [1,1,0.971014,0,1,1] recall 0.966667 [0,0.9,1,0,0.857143,1] recall 0.933333 [0,0.8,0.985507,0,0.666667,1] recall 0.933333 [1,0.7,0.971014,0,1,0.75] recall 0.933333 [1,0.9,0.942029,0,0.833333,1] recall 0.911111 [0,0.8,0.942029,0,0.833333,1] recall 0.955556 [1,0.8,0.985294,0,1,0.75] recall 0.922222 [1,0.7,0.956522,0,1,0.75] recall 0.955556 [0,0.9,0.970588,0,1,1] recall 0.955556 [0,0.9,0.971014,0,1,1] recall 0.944444 [1,0.6,1,0,0.833333,1] recall 0.9 [0,0.7,0.941176,0,0.857143,1] recall 0.933333 [0,0.888889,0.956522,0,0.857143,1] recall 0.911111 [1,0.666667,0.956522,0,0.714286,1] recall 0.944444 [0,0.9,0.985294,0,0.857143,0.75] recall 0.944444 [0,0.555556,1,0,1,1] recall 0.9 [0,0.7,0.926471,0,1,1] recall 0.9 [0,0.555556,0.985507,0,0.571429,1] recall 0.933333 [1,0.8,0.970588,0,0.714286,1] recall 0.922222 [1,0.7,0.942029,0,1,1] recall 0.922222 [0,0.8,0.941176,0,1,1] recall 0.955556 [1,0.7,0.985294,0,1,1] recall 0.922222 [0,0.9,0.955882,0,0.714286,1] recall 0.944444 [1,0.8,0.985294,0,0.714286,1] recall 0.944444 [0,0.8,0.970588,0,1,1] recall 0.988889 [1,1,1,0,0.857143,1] recall 0.955556 [1,0.8,0.970588,0,1,1] recall 0.933333 [1,0.7,0.985294,0,0.857143,0.75] recall 0.944444 [1,0.7,0.985294,0,1,0.75] recall 0.911111 [1,0.6,0.970588,0,0.857143,0.75] recall 0.9 [1,0.6,0.926471,0,1,1] recall 0.955556 [1,1,1,0,0.428571,1] recall 0.933333 [1,0.9,0.955882,0,1,0.5] recall 0.911111 [0,0.6,0.955882,0,1,1] recall 0.911111 [1,0.6,0.970588,0,0.857143,0.75] recall 0.922222 [1,0.6,0.970588,0,0.857143,1] recall 0.955556 [1,0.8,0.985294,0,0.857143,1] recall 0.933333 [0,0.6,0.985294,0,1,1] recall 0.922222 [1,0.7,0.955882,0,1,0.75] recall 0.888889 [0,0.8,0.985294,0,0.428571,0.5] recall 0.966667 [0,1,0.985294,0,0.857143,1] recall 0.922222 [1,0.5,0.970588,0,1,1] recall 0.944444 [1,0.7,1,0,0.857143,0.75] recall 0.933333 [1,0.8,0.955882,0,0.857143,1] recall 0.944444 [1,0.8,0.985294,0,0.714286,1] recall 0.9 [1,0.7,0.941176,0,0.857143,0.75] recall 0.944444 [0,0.8,0.970588,0,1,1] recall 0.955556 [1,0.8,0.985294,0,0.857143,1] recall 0.955556 [0,0.9,0.985294,0,0.857143,1] recall 0.922222 [1,0.7,0.941176,0,1,1] recall 0.933333 [1,0.5,0.985294,0,1,1] recall 0.944444 [0,0.8,0.971014,0,1,1] recall 0.922222 [1,0.7,0.941176,0,1,1] recall 0.9 [0,0.7,0.955882,0,1,0.5] recall 0.955556 [0,0.9,0.970588,0,1,1] recall 0.922222 [0,1,0.926471,0,0.857143,1] recall 0.933333 [1,0.8,0.955882,0,0.857143,1] recall 0.944444 [1,0.9,0.955882,0,0.857143,1] recall 0.944444 [1,0.8,0.971014,0,0.833333,1] recall 0.933333 [1,0.6,0.970588,0,1,1] recall 0.932584 [0,0.8,0.955882,0,0.857143,1] recall 0.94382 [0,0.9,0.956522,0,1,0.75] recall 0.988764 [0,1,0.985294,0,1,1] recall 0.966292 [0,0.9,0.985294,0,0.857143,1] recall 0.966292 [0,0.8,0.985294,0,1,1] recall 0.955056 [0,0.8,0.985294,0,0.857143,1] recall 0.921348 [0,0.7,0.985507,0,0.5,1] recall 0.966292 [0,1,0.970588,0,0.857143,1] recall 0.932584 [0,0.7,0.956522,0,1,1] recall 0.94382 [0,0.9,0.955882,0,0.857143,1] recall 0.910112 [0,0.7,0.955882,0,0.857143,0.75] recall 0.932584 [0,0.8,0.956522,0,1,0.75] recall 0.910112 [0,0.5,0.970588,0,1,0.75] recall 0.910112 [0,0.6,0.955882,0,0.857143,1] recall 0.898876 [0,0.444444,0.942029,0,1,1] recall 0.94382 [0,0.8,0.985294,0,0.857143,0.75] recall 0.955056 [0,0.7,0.985507,0,1,1] recall 0.955056 [0,0.8,0.985294,0,0.857143,1] recall 0.910112 [0,0.6,0.942029,0,1,1] recall 0.932584 [0,0.8,0.955882,0,0.857143,1] relative_absolute_error 0.294574 relative_absolute_error 0.36496 relative_absolute_error 0.316443 relative_absolute_error 0.288384 relative_absolute_error 0.293054 relative_absolute_error 0.290933 relative_absolute_error 0.294211 relative_absolute_error 0.34266 relative_absolute_error 0.326276 relative_absolute_error 0.260017 relative_absolute_error 0.28832 relative_absolute_error 0.296958 relative_absolute_error 0.289143 relative_absolute_error 0.32544 relative_absolute_error 0.368004 relative_absolute_error 0.296134 relative_absolute_error 0.371421 relative_absolute_error 0.316115 relative_absolute_error 0.284412 relative_absolute_error 0.346431 relative_absolute_error 0.23709 relative_absolute_error 0.268418 relative_absolute_error 0.28247 relative_absolute_error 0.356929 relative_absolute_error 0.270267 relative_absolute_error 0.360462 relative_absolute_error 0.268463 relative_absolute_error 0.294491 relative_absolute_error 0.292176 relative_absolute_error 0.307958 relative_absolute_error 0.272428 relative_absolute_error 0.376315 relative_absolute_error 0.300287 relative_absolute_error 0.331394 relative_absolute_error 0.303674 relative_absolute_error 0.313485 relative_absolute_error 0.366996 relative_absolute_error 0.316008 relative_absolute_error 0.292789 relative_absolute_error 0.323315 relative_absolute_error 0.366366 relative_absolute_error 0.310823 relative_absolute_error 0.355618 relative_absolute_error 0.23783 relative_absolute_error 0.34283 relative_absolute_error 0.200368 relative_absolute_error 0.31584 relative_absolute_error 0.324263 relative_absolute_error 0.312817 relative_absolute_error 0.316328 relative_absolute_error 0.420059 relative_absolute_error 0.240688 relative_absolute_error 0.305797 relative_absolute_error 0.350706 relative_absolute_error 0.304457 relative_absolute_error 0.311324 relative_absolute_error 0.282307 relative_absolute_error 0.342091 relative_absolute_error 0.304129 relative_absolute_error 0.350253 relative_absolute_error 0.326647 relative_absolute_error 0.353505 relative_absolute_error 0.320676 relative_absolute_error 0.31897 relative_absolute_error 0.230383 relative_absolute_error 0.401388 relative_absolute_error 0.28433 relative_absolute_error 0.292261 relative_absolute_error 0.293843 relative_absolute_error 0.335459 relative_absolute_error 0.293388 relative_absolute_error 0.30801 relative_absolute_error 0.318853 relative_absolute_error 0.371161 relative_absolute_error 0.303904 relative_absolute_error 0.346226 relative_absolute_error 0.320339 relative_absolute_error 0.298295 relative_absolute_error 0.318278 relative_absolute_error 0.334194 relative_absolute_error 0.304326 relative_absolute_error 0.327889 relative_absolute_error 0.251335 relative_absolute_error 0.215814 relative_absolute_error 0.295381 relative_absolute_error 0.293973 relative_absolute_error 0.305514 relative_absolute_error 0.239909 relative_absolute_error 0.290027 relative_absolute_error 0.312054 relative_absolute_error 0.382535 relative_absolute_error 0.360756 relative_absolute_error 0.347875 relative_absolute_error 0.289706 relative_absolute_error 0.387025 relative_absolute_error 0.309592 relative_absolute_error 0.295946 relative_absolute_error 0.265695 relative_absolute_error 0.360107 relative_absolute_error 0.263419 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 0.126957 root_mean_squared_error 0.132191 root_mean_squared_error 0.133036 root_mean_squared_error 0.12792 root_mean_squared_error 0.121102 root_mean_squared_error 0.110314 root_mean_squared_error 0.132435 root_mean_squared_error 0.135966 root_mean_squared_error 0.131477 root_mean_squared_error 0.108544 root_mean_squared_error 0.133923 root_mean_squared_error 0.126157 root_mean_squared_error 0.123872 root_mean_squared_error 0.133411 root_mean_squared_error 0.159491 root_mean_squared_error 0.135254 root_mean_squared_error 0.141511 root_mean_squared_error 0.125494 root_mean_squared_error 0.125209 root_mean_squared_error 0.141188 root_mean_squared_error 0.102919 root_mean_squared_error 0.114702 root_mean_squared_error 0.119822 root_mean_squared_error 0.138432 root_mean_squared_error 0.113955 root_mean_squared_error 0.143758 root_mean_squared_error 0.114842 root_mean_squared_error 0.130938 root_mean_squared_error 0.12754 root_mean_squared_error 0.127859 root_mean_squared_error 0.115952 root_mean_squared_error 0.146881 root_mean_squared_error 0.131205 root_mean_squared_error 0.132311 root_mean_squared_error 0.129411 root_mean_squared_error 0.130657 root_mean_squared_error 0.143526 root_mean_squared_error 0.140778 root_mean_squared_error 0.123759 root_mean_squared_error 0.13386 root_mean_squared_error 0.139843 root_mean_squared_error 0.124708 root_mean_squared_error 0.139985 root_mean_squared_error 0.117837 root_mean_squared_error 0.139889 root_mean_squared_error 0.079627 root_mean_squared_error 0.132138 root_mean_squared_error 0.131752 root_mean_squared_error 0.126285 root_mean_squared_error 0.135521 root_mean_squared_error 0.15817 root_mean_squared_error 0.094151 root_mean_squared_error 0.123184 root_mean_squared_error 0.149908 root_mean_squared_error 0.139122 root_mean_squared_error 0.137535 root_mean_squared_error 0.111852 root_mean_squared_error 0.14283 root_mean_squared_error 0.128263 root_mean_squared_error 0.166078 root_mean_squared_error 0.122676 root_mean_squared_error 0.148683 root_mean_squared_error 0.129757 root_mean_squared_error 0.129747 root_mean_squared_error 0.110467 root_mean_squared_error 0.156366 root_mean_squared_error 0.125109 root_mean_squared_error 0.117672 root_mean_squared_error 0.123661 root_mean_squared_error 0.138286 root_mean_squared_error 0.123469 root_mean_squared_error 0.124089 root_mean_squared_error 0.140511 root_mean_squared_error 0.144243 root_mean_squared_error 0.124756 root_mean_squared_error 0.150642 root_mean_squared_error 0.122714 root_mean_squared_error 0.12725 root_mean_squared_error 0.121475 root_mean_squared_error 0.134053 root_mean_squared_error 0.11928 root_mean_squared_error 0.130287 root_mean_squared_error 0.101234 root_mean_squared_error 0.10049 root_mean_squared_error 0.111539 root_mean_squared_error 0.115368 root_mean_squared_error 0.131994 root_mean_squared_error 0.107449 root_mean_squared_error 0.127552 root_mean_squared_error 0.120266 root_mean_squared_error 0.15614 root_mean_squared_error 0.141206 root_mean_squared_error 0.149995 root_mean_squared_error 0.13253 root_mean_squared_error 0.145307 root_mean_squared_error 0.122076 root_mean_squared_error 0.114106 root_mean_squared_error 0.109614 root_mean_squared_error 0.144911 root_mean_squared_error 0.119278 root_relative_squared_error 0.495259 root_relative_squared_error 0.515677 root_relative_squared_error 0.519491 root_relative_squared_error 0.499512 root_relative_squared_error 0.472891 root_relative_squared_error 0.430765 root_relative_squared_error 0.517146 root_relative_squared_error 0.530932 root_relative_squared_error 0.512889 root_relative_squared_error 0.423429 root_relative_squared_error 0.522956 root_relative_squared_error 0.483402 root_relative_squared_error 0.483706 root_relative_squared_error 0.520957 root_relative_squared_error 0.622795 root_relative_squared_error 0.528154 root_relative_squared_error 0.552035 root_relative_squared_error 0.49004 root_relative_squared_error 0.479768 root_relative_squared_error 0.551326 root_relative_squared_error 0.401888 root_relative_squared_error 0.439509 root_relative_squared_error 0.46789 root_relative_squared_error 0.540562 root_relative_squared_error 0.444982 root_relative_squared_error 0.56136 root_relative_squared_error 0.440046 root_relative_squared_error 0.5113 root_relative_squared_error 0.488701 root_relative_squared_error 0.499274 root_relative_squared_error 0.452782 root_relative_squared_error 0.562812 root_relative_squared_error 0.51183 root_relative_squared_error 0.516144 root_relative_squared_error 0.49587 root_relative_squared_error 0.509693 root_relative_squared_error 0.549953 root_relative_squared_error 0.549173 root_relative_squared_error 0.474211 root_relative_squared_error 0.522707 root_relative_squared_error 0.535843 root_relative_squared_error 0.477849 root_relative_squared_error 0.536386 root_relative_squared_error 0.45152 root_relative_squared_error 0.536018 root_relative_squared_error 0.305109 root_relative_squared_error 0.506318 root_relative_squared_error 0.504839 root_relative_squared_error 0.483893 root_relative_squared_error 0.519283 root_relative_squared_error 0.606067 root_relative_squared_error 0.360762 root_relative_squared_error 0.472008 root_relative_squared_error 0.57441 root_relative_squared_error 0.53308 root_relative_squared_error 0.526997 root_relative_squared_error 0.428589 root_relative_squared_error 0.547287 root_relative_squared_error 0.491469 root_relative_squared_error 0.636368 root_relative_squared_error 0.470063 root_relative_squared_error 0.569717 root_relative_squared_error 0.497195 root_relative_squared_error 0.497159 root_relative_squared_error 0.42328 root_relative_squared_error 0.599154 root_relative_squared_error 0.479385 root_relative_squared_error 0.45089 root_relative_squared_error 0.473837 root_relative_squared_error 0.529877 root_relative_squared_error 0.473102 root_relative_squared_error 0.484555 root_relative_squared_error 0.538402 root_relative_squared_error 0.552703 root_relative_squared_error 0.478032 root_relative_squared_error 0.577221 root_relative_squared_error 0.470207 root_relative_squared_error 0.487588 root_relative_squared_error 0.474345 root_relative_squared_error 0.513656 root_relative_squared_error 0.464556 root_relative_squared_error 0.517557 root_relative_squared_error 0.394274 root_relative_squared_error 0.391375 root_relative_squared_error 0.434406 root_relative_squared_error 0.449318 root_relative_squared_error 0.524339 root_relative_squared_error 0.418477 root_relative_squared_error 0.506693 root_relative_squared_error 0.468397 root_relative_squared_error 0.608112 root_relative_squared_error 0.560933 root_relative_squared_error 0.58418 root_relative_squared_error 0.516158 root_relative_squared_error 0.576619 root_relative_squared_error 0.475444 root_relative_squared_error 0.453279 root_relative_squared_error 0.42691 root_relative_squared_error 0.575651 root_relative_squared_error 0.464549 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 480 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 70 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 110 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 110 usercpu_time_millis 80 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 110 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 100 usercpu_time_millis 90 usercpu_time_millis 80 usercpu_time_millis 80 usercpu_time_millis 90 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 10 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 480 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 70 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 90 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 100 usercpu_time_millis_training 90 usercpu_time_millis_training 80 usercpu_time_millis_training 80 usercpu_time_millis_training 90