400175 2 Joaquin Vanschoren 4654 Supervised Classification predictive_accuracy 1200 weka.LADTree(4) 2070 weka.classifiers.trees.LADTree -- -B 10 B 10 1200 weka weka_3.7.12 1115 teachingAssistant https://www.openml.org/data/download/53998/teachingAssistant.arff -1 1400912 description https://api.openml.org/data/download/1400912/weka_generated_run7702929431521083526.xml -1 1400915 model_readable https://api.openml.org/data/download/1400915/WekaModel_weka.classifiers.trees.LADTree6614350831548565516.model -1 1400914 model_serialized https://api.openml.org/data/download/1400914/WekaSerialized_weka.classifiers.trees.LADTree6630146857064381139.model -1 1400913 predictions https://api.openml.org/data/download/1400913/weka_generated_predictions1702527822845055555.arff area_under_roc_curve 0.949879 [0.962586,0.939466,0.947918] average_cost 0 f_measure 0.877129 [0.907631,0.8659,0.859184] kappa 0.816333 kb_relative_information_score 1119.618765 mean_absolute_error 0.140871 mean_prior_absolute_error 0.444311 number_of_instances 1510 [490,500,520] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.880173 [0.893281,0.830882,0.915217] predictive_accuracy 0.877483 prior_entropy 1.584538 recall 0.877483 [0.922449,0.904,0.809615] relative_absolute_error 0.317055 root_mean_prior_squared_error 0.471332 root_mean_squared_error 0.252351 root_relative_squared_error 0.5354 scimark_benchmark 899.110836 [537.8479037370082, 1007.8216252346145, 483.0147548568529, 904.256587866, 1562.613308200353] total_cost 0 usercpu_time_millis 60 usercpu_time_millis_testing 0 usercpu_time_millis_training 60 area_under_roc_curve 0.90625 [0.818182,0.981818,0.916667] area_under_roc_curve 0.971591 [0.963636,0.945455,1] area_under_roc_curve 0.921023 [1,0.927273,0.85] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.915057 [0.945455,0.972727,0.841667] area_under_roc_curve 0.909091 [1,0.909091,0.833333] area_under_roc_curve 0.969602 [1,0.972727,0.941667] area_under_roc_curve 0.988068 [1,0.981818,0.983333] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.793182 [0.863636,0.754545,0.766667] area_under_roc_curve 0.966667 [0.97,0.96,0.97] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.866532 [0.977273,0.84,0.814815] area_under_roc_curve 0.759899 [0.795455,0.81,0.694444] area_under_roc_curve 0.943704 [1,0.92,0.925926] area_under_roc_curve 0.946667 [1,0.92,0.92] area_under_roc_curve 0.964074 [1,0.97,0.935185] area_under_roc_curve 0.946667 [0.93,0.91,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.911279 [0.965909,0.85,0.925926] area_under_roc_curve 0.98 [0.98,0.96,1] area_under_roc_curve 0.98 [0.97,0.97,1] area_under_roc_curve 0.946667 [1,0.93,0.91] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.846667 [0.85,0.79,0.9] area_under_roc_curve 0.906667 [0.92,0.81,0.99] area_under_roc_curve 0.993333 [0.99,1,0.99] area_under_roc_curve 0.92 [0.95,0.83,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.92 [0.94,0.84,0.98] area_under_roc_curve 0.966667 [0.93,1,0.97] area_under_roc_curve 0.886667 [0.96,0.94,0.76] area_under_roc_curve 0.993333 [0.99,1,0.99] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.946667 [1,0.97,0.87] area_under_roc_curve 0.986667 [0.98,1,0.98] area_under_roc_curve 0.866667 [0.87,0.93,0.8] area_under_roc_curve 0.96 [1,0.9,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9 [0.9,0.8,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.946667 [0.96,0.9,0.98] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.973333 [0.96,0.96,1] area_under_roc_curve 0.82 [0.92,0.74,0.8] area_under_roc_curve 0.906667 [1,0.89,0.83] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.986667 [1,0.96,1] area_under_roc_curve 0.926667 [0.94,0.85,0.99] area_under_roc_curve 0.96 [1,0.94,0.94] area_under_roc_curve 0.953333 [0.94,1,0.92] area_under_roc_curve 0.9 [0.94,0.8,0.96] area_under_roc_curve 0.86 [0.91,0.77,0.9] area_under_roc_curve 0.893333 [0.91,0.8,0.97] area_under_roc_curve 0.966667 [0.97,0.96,0.97] area_under_roc_curve 0.893333 [0.88,0.81,0.99] area_under_roc_curve 0.993333 [0.99,1,0.99] area_under_roc_curve 0.933333 [1,0.9,0.9] area_under_roc_curve 0.993333 [1,0.99,0.99] area_under_roc_curve 0.98 [0.98,0.98,0.98] area_under_roc_curve 0.906667 [1,0.91,0.81] area_under_roc_curve 0.866667 [0.93,0.84,0.83] area_under_roc_curve 0.913333 [0.89,0.96,0.89] area_under_roc_curve 0.92 [0.89,0.98,0.89] area_under_roc_curve 0.92 [0.94,0.85,0.97] area_under_roc_curve 0.9 [0.88,0.82,1] area_under_roc_curve 0.986667 [0.98,0.98,1] area_under_roc_curve 0.96 [1,0.97,0.91] area_under_roc_curve 0.94 [1,0.94,0.88] area_under_roc_curve 0.933333 [0.92,0.88,1] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.886667 [0.8,0.98,0.88] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.933333 [0.85,0.96,0.99] area_under_roc_curve 0.926667 [0.84,1,0.94] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.88 [0.76,1,0.88] area_under_roc_curve 0.993333 [1,0.99,0.99] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.98 [1,0.97,0.97] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.98 [1,0.96,0.98] area_under_roc_curve 0.9 [1,0.9,0.8] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.986667 [1,0.98,0.98] area_under_roc_curve 0.953333 [1,0.92,0.94] area_under_roc_curve 0.953333 [0.97,0.89,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.973939 [0.977273,0.94,1] area_under_roc_curve 0.9 [0.9,0.8,1] area_under_roc_curve 0.972155 [0.988636,0.97,0.962963] area_under_roc_curve 0.935724 [0.840909,0.99,0.953704] area_under_roc_curve 0.993333 [0.99,1,0.99] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.746795 [0.666667,0.8,0.769231] f_measure 0.936869 [0.909091,0.888889,1] f_measure 0.9375 [1,0.909091,0.909091] f_measure 1 [1,1,1] f_measure 0.794508 [0.833333,0.909091,0.666667] f_measure 0.9375 [1,0.909091,0.909091] f_measure 0.868182 [0.909091,0.909091,0.8] f_measure 0.872917 [1,0.833333,0.8] f_measure 0.9375 [1,0.909091,0.909091] f_measure 0.746795 [0.8,0.666667,0.769231] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.934007 [0.888889,1,0.909091] f_measure 0.736162 [0.727273,0.666667,0.8] f_measure 0.601709 [0.5,0.666667,0.615385] f_measure 0.933333 [1,0.909091,0.909091] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.932194 [1,0.888889,0.923077] f_measure 0.93266 [0.909091,0.888889,1] f_measure 1 [1,1,1] f_measure 0.86734 [0.888889,0.8,0.909091] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.771284 [0.571429,0.909091,0.833333] f_measure 0.861111 [1,0.833333,0.75] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.8 [0.8,0.8,0.8] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.771284 [0.909091,0.571429,0.833333] f_measure 1 [1,1,1] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.61927 [0.333333,0.909091,0.615385] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 1 [1,1,1] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.865993 [0.888889,0.909091,0.8] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 1 [1,1,1] f_measure 0.861111 [0.833333,0.75,1] f_measure 0.93266 [0.909091,0.888889,1] f_measure 0.795455 [0.909091,0.727273,0.75] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.866667 [0.8,0.8,1] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.795455 [0.909091,0.727273,0.75] f_measure 0.87037 [0.833333,0.888889,0.888889] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.93266 [0.888889,1,0.909091] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.715729 [0.909091,0.666667,0.571429] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.865993 [0.8,0.888889,0.909091] f_measure 0.93266 [0.909091,1,0.888889] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.794444 [0.833333,0.8,0.75] f_measure 0.794444 [0.75,0.833333,0.8] f_measure 0.796296 [0.888889,0.833333,0.666667] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.861111 [0.833333,0.75,1] f_measure 0.93266 [0.909091,0.888889,1] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.715729 [0.571429,0.909091,0.666667] f_measure 0.93266 [0.909091,0.888889,1] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.731313 [0.666667,0.8,0.727273] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.865993 [0.8,0.909091,0.888889] f_measure 0.866667 [0.8,1,0.8] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.68254 [0.333333,1,0.714286] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.78022 [1,0.769231,0.571429] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.93266 [1,0.909091,0.888889] f_measure 0.865993 [0.909091,0.8,0.888889] f_measure 0.722222 [1,0.5,0.666667] f_measure 1 [1,1,1] f_measure 0.861111 [1,0.833333,0.75] f_measure 0.87037 [0.888889,0.833333,0.888889] f_measure 0.93266 [0.909091,0.888889,1] f_measure 1 [1,1,1] f_measure 0.799461 [0.888889,0.727273,0.8] f_measure 0.666667 [0.833333,0.333333,0.833333] f_measure 0.860067 [0.888889,0.909091,0.8] f_measure 0.864935 [0.857143,0.909091,0.833333] f_measure 0.93266 [0.909091,1,0.888889] kappa 0.621302 kappa 0.905882 kappa 0.906433 kappa 1 kappa 0.722543 kappa 0.906433 kappa 0.813953 kappa 0.813953 kappa 0.906433 kappa 0.621302 kappa 0.8 kappa 0.9 kappa 0.607843 kappa 0.387755 kappa 0.899329 kappa 0.8 kappa 0.897959 kappa 0.9 kappa 1 kappa 0.8 kappa 0.8 kappa 0.7 kappa 0.8 kappa 1 kappa 1 kappa 0.7 kappa 0.8 kappa 0.9 kappa 0.7 kappa 1 kappa 0.8 kappa 0.9 kappa 0.9 kappa 0.8 kappa 0.9 kappa 0.5 kappa 0.8 kappa 1 kappa 0.9 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.8 kappa 1 kappa 0.8 kappa 0.9 kappa 0.7 kappa 1 kappa 1 kappa 0.8 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.7 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.8 kappa 0.6 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.9 kappa 0.7 kappa 0.7 kappa 0.7 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.8 kappa 0.6 kappa 0.9 kappa 0.8 kappa 0.6 kappa 0.9 kappa 0.8 kappa 0.8 kappa 0.9 kappa 0.6 kappa 0.9 kappa 0.8 kappa 0.7 kappa 0.9 kappa 0.9 kappa 0.8 kappa 0.6 kappa 1 kappa 0.8 kappa 0.8 kappa 0.9 kappa 1 kappa 0.701987 kappa 0.6 kappa 0.801325 kappa 0.795918 kappa 0.9 kb_relative_information_score 9.755036 kb_relative_information_score 12.645984 kb_relative_information_score 12.725804 kb_relative_information_score 13.420304 kb_relative_information_score 10.326074 kb_relative_information_score 12.860085 kb_relative_information_score 12.462066 kb_relative_information_score 12.390481 kb_relative_information_score 13.379882 kb_relative_information_score 8.919066 kb_relative_information_score 10.461482 kb_relative_information_score 12.762401 kb_relative_information_score 8.779541 kb_relative_information_score 6.219261 kb_relative_information_score 11.281763 kb_relative_information_score 10.510677 kb_relative_information_score 12.021538 kb_relative_information_score 10.856594 kb_relative_information_score 13.258342 kb_relative_information_score 10.958037 kb_relative_information_score 11.35646 kb_relative_information_score 9.954078 kb_relative_information_score 10.419642 kb_relative_information_score 12.682947 kb_relative_information_score 12.385562 kb_relative_information_score 9.667882 kb_relative_information_score 10.978088 kb_relative_information_score 12.402116 kb_relative_information_score 10.11826 kb_relative_information_score 13.223842 kb_relative_information_score 11.303563 kb_relative_information_score 12.766186 kb_relative_information_score 12.461809 kb_relative_information_score 10.002499 kb_relative_information_score 12.472405 kb_relative_information_score 7.927947 kb_relative_information_score 11.461533 kb_relative_information_score 13.255025 kb_relative_information_score 12.863366 kb_relative_information_score 10.799586 kb_relative_information_score 11.941534 kb_relative_information_score 10.739089 kb_relative_information_score 10.713383 kb_relative_information_score 13.400982 kb_relative_information_score 11.087336 kb_relative_information_score 12.470324 kb_relative_information_score 9.904992 kb_relative_information_score 13.251821 kb_relative_information_score 13.477844 kb_relative_information_score 10.688775 kb_relative_information_score 9.706756 kb_relative_information_score 10.518754 kb_relative_information_score 12.575522 kb_relative_information_score 10.711388 kb_relative_information_score 11.206613 kb_relative_information_score 10.317155 kb_relative_information_score 11.266109 kb_relative_information_score 10.841033 kb_relative_information_score 9.861166 kb_relative_information_score 9.574993 kb_relative_information_score 10.47188 kb_relative_information_score 9.963806 kb_relative_information_score 12.421001 kb_relative_information_score 10.734643 kb_relative_information_score 12.207573 kb_relative_information_score 11.0452 kb_relative_information_score 11.764457 kb_relative_information_score 9.606037 kb_relative_information_score 9.064828 kb_relative_information_score 10.199956 kb_relative_information_score 11.030529 kb_relative_information_score 10.352624 kb_relative_information_score 12.236266 kb_relative_information_score 11.16018 kb_relative_information_score 9.354617 kb_relative_information_score 11.081187 kb_relative_information_score 11.212066 kb_relative_information_score 9.186071 kb_relative_information_score 12.475954 kb_relative_information_score 11.103322 kb_relative_information_score 10.25896 kb_relative_information_score 11.659168 kb_relative_information_score 8.44801 kb_relative_information_score 12.071427 kb_relative_information_score 11.495577 kb_relative_information_score 10.527576 kb_relative_information_score 12.579063 kb_relative_information_score 11.751215 kb_relative_information_score 10.590759 kb_relative_information_score 10.025143 kb_relative_information_score 13.316559 kb_relative_information_score 11.126675 kb_relative_information_score 10.387122 kb_relative_information_score 12.204185 kb_relative_information_score 13.390634 kb_relative_information_score 10.243225 kb_relative_information_score 9.693149 kb_relative_information_score 11.088247 kb_relative_information_score 10.953072 kb_relative_information_score 12.384021 mean_absolute_error 0.19862 mean_absolute_error 0.12 mean_absolute_error 0.117367 mean_absolute_error 0.09573 mean_absolute_error 0.187404 mean_absolute_error 0.112556 mean_absolute_error 0.118918 mean_absolute_error 0.121425 mean_absolute_error 0.096124 mean_absolute_error 0.227769 mean_absolute_error 0.161786 mean_absolute_error 0.084215 mean_absolute_error 0.211176 mean_absolute_error 0.28867 mean_absolute_error 0.135612 mean_absolute_error 0.16164 mean_absolute_error 0.113107 mean_absolute_error 0.153855 mean_absolute_error 0.077237 mean_absolute_error 0.145135 mean_absolute_error 0.132123 mean_absolute_error 0.174597 mean_absolute_error 0.164569 mean_absolute_error 0.098793 mean_absolute_error 0.104243 mean_absolute_error 0.186498 mean_absolute_error 0.145114 mean_absolute_error 0.100485 mean_absolute_error 0.167479 mean_absolute_error 0.078722 mean_absolute_error 0.133318 mean_absolute_error 0.086886 mean_absolute_error 0.099593 mean_absolute_error 0.181189 mean_absolute_error 0.097962 mean_absolute_error 0.23159 mean_absolute_error 0.127776 mean_absolute_error 0.077411 mean_absolute_error 0.083335 mean_absolute_error 0.153864 mean_absolute_error 0.11794 mean_absolute_error 0.155632 mean_absolute_error 0.154159 mean_absolute_error 0.071077 mean_absolute_error 0.142695 mean_absolute_error 0.098252 mean_absolute_error 0.177184 mean_absolute_error 0.07755 mean_absolute_error 0.067716 mean_absolute_error 0.152917 mean_absolute_error 0.189628 mean_absolute_error 0.16134 mean_absolute_error 0.094678 mean_absolute_error 0.146033 mean_absolute_error 0.136844 mean_absolute_error 0.166804 mean_absolute_error 0.137157 mean_absolute_error 0.151742 mean_absolute_error 0.183443 mean_absolute_error 0.18934 mean_absolute_error 0.161828 mean_absolute_error 0.18115 mean_absolute_error 0.099609 mean_absolute_error 0.156011 mean_absolute_error 0.107926 mean_absolute_error 0.142302 mean_absolute_error 0.124507 mean_absolute_error 0.189098 mean_absolute_error 0.205832 mean_absolute_error 0.165448 mean_absolute_error 0.143491 mean_absolute_error 0.167111 mean_absolute_error 0.107865 mean_absolute_error 0.138466 mean_absolute_error 0.187703 mean_absolute_error 0.148764 mean_absolute_error 0.136986 mean_absolute_error 0.195235 mean_absolute_error 0.098964 mean_absolute_error 0.140673 mean_absolute_error 0.172051 mean_absolute_error 0.125646 mean_absolute_error 0.218185 mean_absolute_error 0.112696 mean_absolute_error 0.125952 mean_absolute_error 0.16206 mean_absolute_error 0.094383 mean_absolute_error 0.122248 mean_absolute_error 0.157354 mean_absolute_error 0.178907 mean_absolute_error 0.072414 mean_absolute_error 0.139769 mean_absolute_error 0.167586 mean_absolute_error 0.107372 mean_absolute_error 0.071651 mean_absolute_error 0.163393 mean_absolute_error 0.185618 mean_absolute_error 0.140359 mean_absolute_error 0.144184 mean_absolute_error 0.10114 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.443994 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.443579 mean_prior_absolute_error 0.444444 number_of_instances 16 [5,5,6] number_of_instances 16 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number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] number_of_instances 15 [4,5,6] number_of_instances 15 [4,5,6] number_of_instances 15 [5,5,5] precision 0.752232 [0.75,0.8,0.714286] precision 0.947917 [0.833333,1,1] precision 0.947917 [1,0.833333,1] precision 1 [1,1,1] precision 0.858631 [0.714286,0.833333,1] precision 0.947917 [1,0.833333,1] precision 0.895833 [0.833333,0.833333,1] precision 0.910714 [1,0.714286,1] precision 0.947917 [1,0.833333,1] precision 0.752232 [0.8,0.75,0.714286] precision 0.904762 [1,0.714286,1] precision 0.946667 [0.8,1,1] precision 0.802381 [0.571429,0.75,1] precision 0.611905 [0.5,0.75,0.571429] precision 0.944444 [1,0.833333,1] precision 0.904762 [1,0.714286,1] precision 0.942857 [1,1,0.857143] precision 0.944444 [0.833333,1,1] precision 1 [1,1,1] precision 0.88 [0.8,0.8,1] precision 0.877778 [0.833333,0.8,1] precision 0.849206 [1,0.833333,0.714286] precision 0.904762 [1,0.714286,1] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.8 [0.8,0.8,0.8] precision 0.877778 [0.833333,0.8,1] precision 0.944444 [0.833333,1,1] precision 0.849206 [0.833333,1,0.714286] precision 1 [1,1,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [1,0.833333,1] precision 0.944444 [1,0.833333,1] precision 0.877778 [0.833333,0.8,1] precision 0.944444 [1,1,0.833333] precision 0.777778 [1,0.833333,0.5] precision 0.904762 [1,0.714286,1] precision 1 [1,1,1] precision 0.944444 [1,0.833333,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [0.833333,1,1] precision 0.877778 [1,0.833333,0.8] precision 0.877778 [0.833333,0.8,1] precision 1 [1,1,1] precision 0.904762 [0.714286,1,1] precision 0.944444 [0.833333,1,1] precision 0.833333 [0.833333,0.666667,1] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.866667 [0.8,0.8,1] precision 0.877778 [0.833333,0.8,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [0.833333,1,1] precision 0.833333 [0.833333,0.666667,1] precision 0.904762 [0.714286,1,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [1,1,0.833333] precision 0.877778 [0.833333,0.8,1] precision 0.877778 [0.833333,0.8,1] precision 0.801587 [0.833333,0.571429,1] precision 0.904762 [1,0.714286,1] precision 0.877778 [0.8,1,0.833333] precision 0.944444 [0.833333,1,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [1,0.833333,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [1,0.833333,1] precision 0.838095 [0.714286,0.8,1] precision 0.838095 [1,0.714286,0.8] precision 0.821429 [1,0.714286,0.75] precision 0.877778 [0.833333,0.8,1] precision 0.904762 [0.714286,1,1] precision 0.944444 [0.833333,1,1] precision 0.904762 [1,0.714286,1] precision 0.801587 [1,0.833333,0.571429] precision 0.944444 [0.833333,1,1] precision 0.904762 [1,0.714286,1] precision 0.738889 [0.75,0.8,0.666667] precision 0.944444 [1,0.833333,1] precision 0.877778 [0.8,0.833333,1] precision 0.866667 [0.8,1,0.8] precision 0.944444 [1,0.833333,1] precision 0.851852 [1,1,0.555556] precision 0.944444 [1,0.833333,1] precision 0.904762 [1,0.714286,1] precision 0.875 [1,0.625,1] precision 0.944444 [1,0.833333,1] precision 0.944444 [1,0.833333,1] precision 0.877778 [0.833333,0.8,1] precision 0.746032 [1,0.666667,0.571429] precision 1 [1,1,1] precision 0.904762 [1,0.714286,1] precision 0.904762 [1,0.714286,1] precision 0.944444 [0.833333,1,1] precision 1 [1,1,1] precision 0.835556 [0.8,0.666667,1] precision 0.809524 [0.714286,1,0.714286] precision 0.891111 [0.8,0.833333,1] precision 0.877778 [1,0.833333,0.833333] precision 0.944444 [0.833333,1,1] predictive_accuracy 0.75 predictive_accuracy 0.9375 predictive_accuracy 0.9375 predictive_accuracy 1 predictive_accuracy 0.8125 predictive_accuracy 0.9375 predictive_accuracy 0.875 predictive_accuracy 0.875 predictive_accuracy 0.9375 predictive_accuracy 0.75 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.6 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.666667 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 0.733333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.8 predictive_accuracy 0.933333 predictive_accuracy 0.933333 predictive_accuracy 0.866667 predictive_accuracy 0.733333 predictive_accuracy 1 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 predictive_accuracy 1 predictive_accuracy 0.8 predictive_accuracy 0.733333 predictive_accuracy 0.866667 predictive_accuracy 0.866667 predictive_accuracy 0.933333 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 prior_entropy 1.584538 recall 0.75 [0.6,0.8,0.833333] recall 0.9375 [1,0.8,1] recall 0.9375 [1,1,0.833333] recall 1 [1,1,1] recall 0.8125 [1,1,0.5] recall 0.9375 [1,1,0.833333] recall 0.875 [1,1,0.666667] recall 0.875 [1,1,0.666667] recall 0.9375 [1,1,0.833333] recall 0.75 [0.8,0.6,0.833333] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,1,0.833333] recall 0.733333 [1,0.6,0.666667] recall 0.6 [0.5,0.6,0.666667] recall 0.933333 [1,1,0.833333] recall 0.866667 [1,1,0.6] recall 0.933333 [1,0.8,1] recall 0.933333 [1,0.8,1] recall 1 [1,1,1] recall 0.866667 [1,0.8,0.833333] recall 0.866667 [1,0.8,0.8] recall 0.8 [0.4,1,1] recall 0.866667 [1,1,0.6] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.8 [0.8,0.8,0.8] recall 0.866667 [1,0.8,0.8] recall 0.933333 [1,1,0.8] recall 0.8 [1,0.4,1] recall 1 [1,1,1] recall 0.866667 [1,1,0.6] recall 0.933333 [1,1,0.8] recall 0.933333 [1,1,0.8] recall 0.866667 [1,0.8,0.8] recall 0.933333 [0.8,1,1] recall 0.666667 [0.2,1,0.8] recall 0.866667 [0.8,1,0.8] recall 1 [1,1,1] recall 0.933333 [1,1,0.8] recall 0.866667 [1,1,0.6] recall 0.933333 [1,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.866667 [1,0.8,0.8] recall 1 [1,1,1] recall 0.866667 [1,0.6,1] recall 0.933333 [1,0.8,1] recall 0.8 [1,0.8,0.6] recall 1 [1,1,1] recall 1 [1,1,1] recall 0.866667 [0.8,0.8,1] recall 0.866667 [1,0.8,0.8] recall 0.866667 [1,1,0.6] recall 0.933333 [1,1,0.8] recall 0.8 [1,0.8,0.6] recall 0.866667 [1,0.8,0.8] recall 0.866667 [1,1,0.6] recall 0.933333 [0.8,1,1] recall 0.866667 [1,0.8,0.8] recall 0.866667 [1,0.8,0.8] recall 0.733333 [1,0.8,0.4] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.8,0.8,1] recall 0.933333 [1,1,0.8] recall 0.866667 [1,1,0.6] recall 0.933333 [1,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,1,0.8] recall 0.8 [1,0.8,0.6] recall 0.8 [0.6,1,0.8] recall 0.8 [0.8,1,0.6] recall 0.866667 [1,0.8,0.8] recall 0.866667 [1,0.6,1] recall 0.933333 [1,0.8,1] recall 0.866667 [1,1,0.6] recall 0.733333 [0.4,1,0.8] recall 0.933333 [1,0.8,1] recall 0.866667 [1,1,0.6] recall 0.733333 [0.6,0.8,0.8] recall 0.933333 [1,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,1,0.8] recall 0.733333 [0.2,1,1] recall 0.933333 [1,1,0.8] recall 0.866667 [1,1,0.6] recall 0.8 [1,1,0.4] recall 0.933333 [1,1,0.8] recall 0.933333 [1,1,0.8] recall 0.866667 [1,0.8,0.8] recall 0.733333 [1,0.4,0.8] recall 1 [1,1,1] recall 0.866667 [1,1,0.6] recall 0.866667 [0.8,1,0.8] recall 0.933333 [1,0.8,1] recall 1 [1,1,1] recall 0.8 [1,0.8,0.666667] recall 0.733333 [1,0.2,1] recall 0.866667 [1,1,0.666667] recall 0.866667 [0.75,1,0.833333] recall 0.933333 [1,1,0.8] relative_absolute_error 0.447349 relative_absolute_error 0.270274 relative_absolute_error 0.264344 relative_absolute_error 0.215611 relative_absolute_error 0.422087 relative_absolute_error 0.253508 relative_absolute_error 0.267838 relative_absolute_error 0.273484 relative_absolute_error 0.216498 relative_absolute_error 0.513 relative_absolute_error 0.364019 relative_absolute_error 0.189853 relative_absolute_error 0.476074 relative_absolute_error 0.650776 relative_absolute_error 0.305722 relative_absolute_error 0.363689 relative_absolute_error 0.254988 relative_absolute_error 0.346173 relative_absolute_error 0.173784 relative_absolute_error 0.327191 relative_absolute_error 0.297277 relative_absolute_error 0.392844 relative_absolute_error 0.37028 relative_absolute_error 0.222284 relative_absolute_error 0.234547 relative_absolute_error 0.41962 relative_absolute_error 0.326506 relative_absolute_error 0.226092 relative_absolute_error 0.376829 relative_absolute_error 0.177126 relative_absolute_error 0.299966 relative_absolute_error 0.195493 relative_absolute_error 0.224085 relative_absolute_error 0.407675 relative_absolute_error 0.220416 relative_absolute_error 0.521078 relative_absolute_error 0.287496 relative_absolute_error 0.174175 relative_absolute_error 0.187504 relative_absolute_error 0.346195 relative_absolute_error 0.265366 relative_absolute_error 0.350173 relative_absolute_error 0.346857 relative_absolute_error 0.159923 relative_absolute_error 0.321064 relative_absolute_error 0.221067 relative_absolute_error 0.398664 relative_absolute_error 0.174488 relative_absolute_error 0.152362 relative_absolute_error 0.344063 relative_absolute_error 0.426662 relative_absolute_error 0.363014 relative_absolute_error 0.213026 relative_absolute_error 0.328574 relative_absolute_error 0.307899 relative_absolute_error 0.375309 relative_absolute_error 0.308603 relative_absolute_error 0.341419 relative_absolute_error 0.412747 relative_absolute_error 0.426015 relative_absolute_error 0.364112 relative_absolute_error 0.407586 relative_absolute_error 0.22412 relative_absolute_error 0.351025 relative_absolute_error 0.242834 relative_absolute_error 0.32018 relative_absolute_error 0.28014 relative_absolute_error 0.425471 relative_absolute_error 0.463122 relative_absolute_error 0.372257 relative_absolute_error 0.322854 relative_absolute_error 0.376 relative_absolute_error 0.242696 relative_absolute_error 0.311549 relative_absolute_error 0.422331 relative_absolute_error 0.33472 relative_absolute_error 0.308218 relative_absolute_error 0.439279 relative_absolute_error 0.22267 relative_absolute_error 0.316514 relative_absolute_error 0.387115 relative_absolute_error 0.282703 relative_absolute_error 0.490917 relative_absolute_error 0.253566 relative_absolute_error 0.283392 relative_absolute_error 0.364636 relative_absolute_error 0.212362 relative_absolute_error 0.275057 relative_absolute_error 0.354047 relative_absolute_error 0.402541 relative_absolute_error 0.16325 relative_absolute_error 0.314481 relative_absolute_error 0.377068 relative_absolute_error 0.241586 relative_absolute_error 0.161214 relative_absolute_error 0.368351 relative_absolute_error 0.417641 relative_absolute_error 0.316424 relative_absolute_error 0.325048 relative_absolute_error 0.227565 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.470996 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.470555 root_mean_prior_squared_error 0.471474 root_mean_squared_error 0.367261 root_mean_squared_error 0.220854 root_mean_squared_error 0.2208 root_mean_squared_error 0.151338 root_mean_squared_error 0.306596 root_mean_squared_error 0.220155 root_mean_squared_error 0.249316 root_mean_squared_error 0.21243 root_mean_squared_error 0.15567 root_mean_squared_error 0.396752 root_mean_squared_error 0.249499 root_mean_squared_error 0.16416 root_mean_squared_error 0.377152 root_mean_squared_error 0.458477 root_mean_squared_error 0.248683 root_mean_squared_error 0.27217 root_mean_squared_error 0.217996 root_mean_squared_error 0.256417 root_mean_squared_error 0.10183 root_mean_squared_error 0.284406 root_mean_squared_error 0.230371 root_mean_squared_error 0.28521 root_mean_squared_error 0.274622 root_mean_squared_error 0.132903 root_mean_squared_error 0.157803 root_mean_squared_error 0.349293 root_mean_squared_error 0.266308 root_mean_squared_error 0.17425 root_mean_squared_error 0.29146 root_mean_squared_error 0.102585 root_mean_squared_error 0.225442 root_mean_squared_error 0.153468 root_mean_squared_error 0.161439 root_mean_squared_error 0.282394 root_mean_squared_error 0.204954 root_mean_squared_error 0.360524 root_mean_squared_error 0.223165 root_mean_squared_error 0.101134 root_mean_squared_error 0.147855 root_mean_squared_error 0.262986 root_mean_squared_error 0.188871 root_mean_squared_error 0.29488 root_mean_squared_error 0.269783 root_mean_squared_error 0.095239 root_mean_squared_error 0.271841 root_mean_squared_error 0.180146 root_mean_squared_error 0.302578 root_mean_squared_error 0.101172 root_mean_squared_error 0.092657 root_mean_squared_error 0.268492 root_mean_squared_error 0.327017 root_mean_squared_error 0.273752 root_mean_squared_error 0.169339 root_mean_squared_error 0.272811 root_mean_squared_error 0.264132 root_mean_squared_error 0.246726 root_mean_squared_error 0.249651 root_mean_squared_error 0.291269 root_mean_squared_error 0.318958 root_mean_squared_error 0.307033 root_mean_squared_error 0.249043 root_mean_squared_error 0.316378 root_mean_squared_error 0.176336 root_mean_squared_error 0.265396 root_mean_squared_error 0.171212 root_mean_squared_error 0.23404 root_mean_squared_error 0.229078 root_mean_squared_error 0.334674 root_mean_squared_error 0.320389 root_mean_squared_error 0.296616 root_mean_squared_error 0.288462 root_mean_squared_error 0.292635 root_mean_squared_error 0.191638 root_mean_squared_error 0.256852 root_mean_squared_error 0.320762 root_mean_squared_error 0.249466 root_mean_squared_error 0.226154 root_mean_squared_error 0.360257 root_mean_squared_error 0.201737 root_mean_squared_error 0.263357 root_mean_squared_error 0.280099 root_mean_squared_error 0.193346 root_mean_squared_error 0.339694 root_mean_squared_error 0.178171 root_mean_squared_error 0.218797 root_mean_squared_error 0.238447 root_mean_squared_error 0.202274 root_mean_squared_error 0.191129 root_mean_squared_error 0.262619 root_mean_squared_error 0.285788 root_mean_squared_error 0.097425 root_mean_squared_error 0.23202 root_mean_squared_error 0.289492 root_mean_squared_error 0.217367 root_mean_squared_error 0.095022 root_mean_squared_error 0.274543 root_mean_squared_error 0.314378 root_mean_squared_error 0.259402 root_mean_squared_error 0.259046 root_mean_squared_error 0.176692 root_relative_squared_error 0.779755 root_relative_squared_error 0.468908 root_relative_squared_error 0.468795 root_relative_squared_error 0.321314 root_relative_squared_error 0.650953 root_relative_squared_error 0.467425 root_relative_squared_error 0.529339 root_relative_squared_error 0.451023 root_relative_squared_error 0.330513 root_relative_squared_error 0.842369 root_relative_squared_error 0.529188 root_relative_squared_error 0.348864 root_relative_squared_error 0.801504 root_relative_squared_error 0.974332 root_relative_squared_error 0.528489 root_relative_squared_error 0.577274 root_relative_squared_error 0.463275 root_relative_squared_error 0.543863 root_relative_squared_error 0.215981 root_relative_squared_error 0.604406 root_relative_squared_error 0.488619 root_relative_squared_error 0.604932 root_relative_squared_error 0.582474 root_relative_squared_error 0.281889 root_relative_squared_error 0.334702 root_relative_squared_error 0.740852 root_relative_squared_error 0.564841 root_relative_squared_error 0.369585 root_relative_squared_error 0.61819 root_relative_squared_error 0.217584 root_relative_squared_error 0.478164 root_relative_squared_error 0.325506 root_relative_squared_error 0.342414 root_relative_squared_error 0.598961 root_relative_squared_error 0.434709 root_relative_squared_error 0.764674 root_relative_squared_error 0.473335 root_relative_squared_error 0.214505 root_relative_squared_error 0.313602 root_relative_squared_error 0.557796 root_relative_squared_error 0.400598 root_relative_squared_error 0.625443 root_relative_squared_error 0.572212 root_relative_squared_error 0.202003 root_relative_squared_error 0.576577 root_relative_squared_error 0.382091 root_relative_squared_error 0.641769 root_relative_squared_error 0.214587 root_relative_squared_error 0.196527 root_relative_squared_error 0.569474 root_relative_squared_error 0.693606 root_relative_squared_error 0.580629 root_relative_squared_error 0.35917 root_relative_squared_error 0.578634 root_relative_squared_error 0.560225 root_relative_squared_error 0.523307 root_relative_squared_error 0.529512 root_relative_squared_error 0.617784 root_relative_squared_error 0.676512 root_relative_squared_error 0.651219 root_relative_squared_error 0.528222 root_relative_squared_error 0.67104 root_relative_squared_error 0.374011 root_relative_squared_error 0.562907 root_relative_squared_error 0.363142 root_relative_squared_error 0.4964 root_relative_squared_error 0.485877 root_relative_squared_error 0.709846 root_relative_squared_error 0.679548 root_relative_squared_error 0.629124 root_relative_squared_error 0.61183 root_relative_squared_error 0.620681 root_relative_squared_error 0.406467 root_relative_squared_error 0.544785 root_relative_squared_error 0.680338 root_relative_squared_error 0.529118 root_relative_squared_error 0.479674 root_relative_squared_error 0.764107 root_relative_squared_error 0.427887 root_relative_squared_error 0.558583 root_relative_squared_error 0.594091 root_relative_squared_error 0.410088 root_relative_squared_error 0.720493 root_relative_squared_error 0.377903 root_relative_squared_error 0.464069 root_relative_squared_error 0.505748 root_relative_squared_error 0.429025 root_relative_squared_error 0.405386 root_relative_squared_error 0.557017 root_relative_squared_error 0.606158 root_relative_squared_error 0.207043 root_relative_squared_error 0.492116 root_relative_squared_error 0.614015 root_relative_squared_error 0.461036 root_relative_squared_error 0.201541 root_relative_squared_error 0.583444 root_relative_squared_error 0.666798 root_relative_squared_error 0.551268 root_relative_squared_error 0.550512 root_relative_squared_error 0.374764 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 90 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 60 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 70 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 80 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 40 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 50 usercpu_time_millis 60 usercpu_time_millis 50 usercpu_time_millis 50 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