443058 2 Joaquin Vanschoren 4432 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 863 fri_c4_250_10 https://www.openml.org/data/download/53397/fri_c4_250_10.arff -1 1551737 description https://api.openml.org/data/download/1551737/weka_generated_run5173025407260936152.xml -1 1551740 model_readable https://api.openml.org/data/download/1551740/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE3299626734318883126.model -1 1551739 model_serialized https://api.openml.org/data/download/1551739/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7170156228728186234.model -1 1551738 predictions https://api.openml.org/data/download/1551738/weka_generated_predictions9215468787816793596.arff area_under_roc_curve 0.854195 [0.854195,0.854195] average_cost 0 f_measure 0.770496 [0.750761,0.787856] kappa 0.538742 kb_relative_information_score 1104.517581 mean_absolute_error 0.288355 mean_prior_absolute_error 0.497968 number_of_instances 2500 [1170,1330] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.770608 [0.764393,0.776076] predictive_accuracy 0.7708 prior_entropy 0.99709 recall 0.7708 [0.737607,0.8] relative_absolute_error 0.579063 root_mean_prior_squared_error 0.498975 root_mean_squared_error 0.393611 root_relative_squared_error 0.788839 scimark_benchmark 932.438034 [542.1947888913218, 1001.2756661255861, 441.1428994530376, 912.4399121942508, 1765.1369023070451] total_cost 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 area_under_roc_curve 0.730519 [0.730519,0.730519] area_under_roc_curve 0.892857 [0.892857,0.892857] area_under_roc_curve 0.892857 [0.892857,0.892857] area_under_roc_curve 0.840909 [0.840909,0.840909] area_under_roc_curve 0.948052 [0.948052,0.948052] area_under_roc_curve 0.820513 [0.820513,0.820513] area_under_roc_curve 0.871795 [0.871795,0.871795] area_under_roc_curve 0.847403 [0.847403,0.847403] area_under_roc_curve 0.737179 [0.737179,0.737179] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.698052 [0.698052,0.698052] area_under_roc_curve 0.704545 [0.704545,0.704545] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.847403 [0.847403,0.847403] area_under_roc_curve 0.915584 [0.915584,0.915584] area_under_roc_curve 0.810897 [0.810897,0.810897] area_under_roc_curve 0.983974 [0.983974,0.983974] area_under_roc_curve 0.883117 [0.883117,0.883117] area_under_roc_curve 0.836538 [0.836538,0.836538] area_under_roc_curve 0.887821 [0.887821,0.887821] area_under_roc_curve 0.961039 [0.961039,0.961039] area_under_roc_curve 0.798701 [0.798701,0.798701] area_under_roc_curve 0.905844 [0.905844,0.905844] area_under_roc_curve 0.678571 [0.678571,0.678571] area_under_roc_curve 0.915584 [0.915584,0.915584] area_under_roc_curve 0.929487 [0.929487,0.929487] area_under_roc_curve 0.814103 [0.814103,0.814103] area_under_roc_curve 0.818182 [0.818182,0.818182] area_under_roc_curve 0.894231 [0.894231,0.894231] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.759615 [0.759615,0.759615] area_under_roc_curve 0.887821 [0.887821,0.887821] area_under_roc_curve 0.810897 [0.810897,0.810897] area_under_roc_curve 0.772436 [0.772436,0.772436] area_under_roc_curve 0.948718 [0.948718,0.948718] area_under_roc_curve 0.769231 [0.769231,0.769231] area_under_roc_curve 0.955128 [0.955128,0.955128] area_under_roc_curve 0.929487 [0.929487,0.929487] area_under_roc_curve 0.865385 [0.865385,0.865385] area_under_roc_curve 0.855769 [0.855769,0.855769] area_under_roc_curve 0.974359 [0.974359,0.974359] area_under_roc_curve 0.939103 [0.939103,0.939103] area_under_roc_curve 0.625 [0.625,0.625] area_under_roc_curve 0.830128 [0.830128,0.830128] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.772436 [0.772436,0.772436] area_under_roc_curve 0.913462 [0.913462,0.913462] area_under_roc_curve 0.849359 [0.849359,0.849359] area_under_roc_curve 0.75 [0.75,0.75] area_under_roc_curve 0.823718 [0.823718,0.823718] area_under_roc_curve 0.939103 [0.939103,0.939103] area_under_roc_curve 0.766026 [0.766026,0.766026] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.801282 [0.801282,0.801282] area_under_roc_curve 0.99359 [0.99359,0.99359] area_under_roc_curve 0.804487 [0.804487,0.804487] area_under_roc_curve 0.846154 [0.846154,0.846154] area_under_roc_curve 0.99359 [0.99359,0.99359] area_under_roc_curve 0.814103 [0.814103,0.814103] area_under_roc_curve 0.884615 [0.884615,0.884615] area_under_roc_curve 0.971154 [0.971154,0.971154] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.766026 [0.766026,0.766026] area_under_roc_curve 0.817308 [0.817308,0.817308] area_under_roc_curve 0.862179 [0.862179,0.862179] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.817308 [0.817308,0.817308] area_under_roc_curve 0.900641 [0.900641,0.900641] area_under_roc_curve 0.682692 [0.682692,0.682692] area_under_roc_curve 0.717949 [0.717949,0.717949] area_under_roc_curve 0.788462 [0.788462,0.788462] area_under_roc_curve 0.849359 [0.849359,0.849359] area_under_roc_curve 0.945513 [0.945513,0.945513] area_under_roc_curve 0.679487 [0.679487,0.679487] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.831169 [0.831169,0.831169] area_under_roc_curve 0.865385 [0.865385,0.865385] area_under_roc_curve 0.905844 [0.905844,0.905844] area_under_roc_curve 0.970779 [0.970779,0.970779] area_under_roc_curve 0.935897 [0.935897,0.935897] area_under_roc_curve 0.708333 [0.708333,0.708333] area_under_roc_curve 0.814103 [0.814103,0.814103] area_under_roc_curve 0.910256 [0.910256,0.910256] area_under_roc_curve 0.785256 [0.785256,0.785256] area_under_roc_curve 0.821429 [0.821429,0.821429] area_under_roc_curve 0.902597 [0.902597,0.902597] area_under_roc_curve 0.826923 [0.826923,0.826923] area_under_roc_curve 0.931818 [0.931818,0.931818] area_under_roc_curve 0.866883 [0.866883,0.866883] area_under_roc_curve 0.971154 [0.971154,0.971154] area_under_roc_curve 0.916667 [0.916667,0.916667] area_under_roc_curve 0.830128 [0.830128,0.830128] area_under_roc_curve 0.791667 [0.791667,0.791667] area_under_roc_curve 0.935897 [0.935897,0.935897] area_under_roc_curve 0.967532 [0.967532,0.967532] area_under_roc_curve 0.814935 [0.814935,0.814935] area_under_roc_curve 0.961538 [0.961538,0.961538] area_under_roc_curve 0.808442 [0.808442,0.808442] area_under_roc_curve 0.87013 [0.87013,0.87013] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.718161 [0.666667,0.758621] f_measure 0.798686 [0.761905,0.827586] f_measure 0.78574 [0.705882,0.848485] f_measure 0.674667 [0.6,0.733333] f_measure 0.837333 [0.8,0.866667] f_measure 0.669333 [0.6,0.733333] f_measure 0.757662 [0.727273,0.785714] f_measure 0.677949 [0.692308,0.666667] f_measure 0.638841 [0.608696,0.666667] f_measure 0.8 [0.8,0.8] f_measure 0.628998 [0.526316,0.709677] f_measure 0.64 [0.64,0.64] f_measure 0.800644 [0.782609,0.814815] f_measure 0.76 [0.727273,0.785714] f_measure 0.880386 [0.869565,0.888889] f_measure 0.68 [0.666667,0.692308] f_measure 0.879614 [0.869565,0.888889] f_measure 0.748333 [0.666667,0.8125] f_measure 0.759231 [0.769231,0.75] f_measure 0.799356 [0.782609,0.814815] f_measure 0.837333 [0.8,0.866667] f_measure 0.748333 [0.666667,0.8125] f_measure 0.879212 [0.857143,0.896552] f_measure 0.681026 [0.666667,0.692308] f_measure 0.879212 [0.857143,0.896552] f_measure 0.796059 [0.761905,0.827586] f_measure 0.752 [0.7,0.8] f_measure 0.72 [0.72,0.72] f_measure 0.799356 [0.782609,0.814815] f_measure 0.705739 [0.631579,0.774194] f_measure 0.68 [0.666667,0.692308] f_measure 0.84 [0.833333,0.846154] f_measure 0.757662 [0.727273,0.785714] f_measure 0.705739 [0.631579,0.774194] f_measure 0.838442 [0.818182,0.857143] f_measure 0.678974 [0.692308,0.666667] f_measure 0.836883 [0.857143,0.818182] f_measure 0.879614 [0.869565,0.888889] f_measure 0.838442 [0.818182,0.857143] f_measure 0.789813 [0.736842,0.83871] f_measure 0.92 [0.916667,0.923077] f_measure 0.88 [0.88,0.88] f_measure 0.547059 [0.375,0.705882] f_measure 0.796059 [0.761905,0.827586] f_measure 0.76 [0.75,0.769231] f_measure 0.757662 [0.727273,0.785714] f_measure 0.628177 [0.689655,0.571429] f_measure 0.8 [0.8,0.8] f_measure 0.705739 [0.631579,0.774194] f_measure 0.68 [0.666667,0.692308] f_measure 0.76 [0.75,0.769231] f_measure 0.796059 [0.761905,0.827586] f_measure 0.719098 [0.695652,0.740741] f_measure 0.68 [0.666667,0.692308] f_measure 0.759231 [0.769231,0.75] f_measure 0.96 [0.96,0.96] f_measure 0.759231 [0.769231,0.75] f_measure 0.752 [0.7,0.8] f_measure 0.834667 [0.8,0.866667] f_measure 0.76 [0.75,0.769231] f_measure 0.799356 [0.782609,0.814815] f_measure 0.879614 [0.869565,0.888889] f_measure 0.84 [0.833333,0.846154] f_measure 0.673766 [0.714286,0.636364] f_measure 0.799356 [0.782609,0.814815] f_measure 0.76 [0.75,0.769231] f_measure 0.84 [0.833333,0.846154] f_measure 0.76 [0.75,0.769231] f_measure 0.8 [0.8,0.8] f_measure 0.676883 [0.636364,0.714286] f_measure 0.636522 [0.666667,0.608696] f_measure 0.64 [0.64,0.64] f_measure 0.759231 [0.769231,0.75] f_measure 0.789813 [0.736842,0.83871] f_measure 0.558583 [0.521739,0.592593] f_measure 0.78574 [0.705882,0.848485] f_measure 0.720902 [0.695652,0.740741] f_measure 0.84 [0.833333,0.846154] f_measure 0.88 [0.88,0.88] f_measure 0.88 [0.88,0.88] f_measure 0.798068 [0.814815,0.782609] f_measure 0.664 [0.733333,0.6] f_measure 0.719098 [0.695652,0.740741] f_measure 0.839487 [0.846154,0.833333] f_measure 0.673766 [0.714286,0.636364] f_measure 0.760769 [0.75,0.769231] f_measure 0.720902 [0.695652,0.740741] f_measure 0.719098 [0.695652,0.740741] f_measure 0.840513 [0.833333,0.846154] f_measure 0.798686 [0.761905,0.827586] f_measure 0.92 [0.916667,0.923077] f_measure 0.838442 [0.818182,0.857143] f_measure 0.755325 [0.785714,0.727273] f_measure 0.68 [0.666667,0.692308] f_measure 0.877635 [0.857143,0.896552] f_measure 0.880386 [0.869565,0.888889] f_measure 0.68 [0.636364,0.714286] f_measure 0.839487 [0.846154,0.833333] f_measure 0.718161 [0.666667,0.758621] f_measure 0.879212 [0.857143,0.896552] kappa 0.42623 kappa 0.590164 kappa 0.573379 kappa 0.337748 kappa 0.668874 kappa 0.350649 kappa 0.516129 kappa 0.375 kappa 0.276527 kappa 0.600639 kappa 0.247492 kappa 0.290221 kappa 0.598071 kappa 0.512987 kappa 0.758842 kappa 0.358974 kappa 0.758842 kappa 0.493243 kappa 0.522293 kappa 0.598071 kappa 0.668874 kappa 0.493243 kappa 0.754098 kappa 0.363057 kappa 0.754098 kappa 0.595469 kappa 0.512987 kappa 0.44795 kappa 0.598071 kappa 0.429967 kappa 0.358974 kappa 0.679487 kappa 0.516129 kappa 0.429967 kappa 0.677419 kappa 0.363057 kappa 0.683544 kappa 0.758842 kappa 0.677419 kappa 0.592834 kappa 0.839744 kappa 0.760383 kappa 0.177632 kappa 0.595469 kappa 0.519231 kappa 0.516129 kappa 0.290221 kappa 0.600639 kappa 0.429967 kappa 0.358974 kappa 0.519231 kappa 0.595469 kappa 0.437299 kappa 0.358974 kappa 0.522293 kappa 0.920128 kappa 0.522293 kappa 0.512987 kappa 0.675325 kappa 0.519231 kappa 0.598071 kappa 0.758842 kappa 0.679487 kappa 0.367089 kappa 0.598071 kappa 0.519231 kappa 0.679487 kappa 0.519231 kappa 0.600639 kappa 0.354839 kappa 0.285714 kappa 0.28115 kappa 0.522293 kappa 0.592834 kappa 0.115756 kappa 0.573379 kappa 0.437299 kappa 0.679487 kappa 0.763407 kappa 0.763407 kappa 0.603175 kappa 0.371069 kappa 0.437299 kappa 0.681529 kappa 0.367089 kappa 0.522293 kappa 0.437299 kappa 0.437299 kappa 0.681529 kappa 0.590164 kappa 0.839744 kappa 0.677419 kappa 0.525316 kappa 0.358974 kappa 0.757282 kappa 0.758842 kappa 0.350649 kappa 0.681529 kappa 0.42623 kappa 0.754098 kb_relative_information_score 7.319015 kb_relative_information_score 13.049491 kb_relative_information_score 13.578357 kb_relative_information_score 9.960473 kb_relative_information_score 12.452696 kb_relative_information_score 8.94573 kb_relative_information_score 9.366408 kb_relative_information_score 9.874404 kb_relative_information_score 6.736091 kb_relative_information_score 13.83793 kb_relative_information_score 7.281409 kb_relative_information_score 6.198684 kb_relative_information_score 12.327686 kb_relative_information_score 11.687133 kb_relative_information_score 13.932708 kb_relative_information_score 8.507702 kb_relative_information_score 15.570142 kb_relative_information_score 11.809419 kb_relative_information_score 8.972554 kb_relative_information_score 12.646262 kb_relative_information_score 14.99309 kb_relative_information_score 8.660353 kb_relative_information_score 13.387768 kb_relative_information_score 4.706824 kb_relative_information_score 13.452835 kb_relative_information_score 13.243276 kb_relative_information_score 10.091606 kb_relative_information_score 9.837215 kb_relative_information_score 12.199762 kb_relative_information_score 8.859561 kb_relative_information_score 7.841872 kb_relative_information_score 12.310186 kb_relative_information_score 11.236317 kb_relative_information_score 9.115079 kb_relative_information_score 15.621477 kb_relative_information_score 8.591023 kb_relative_information_score 13.884272 kb_relative_information_score 13.944169 kb_relative_information_score 11.207955 kb_relative_information_score 10.410039 kb_relative_information_score 15.450436 kb_relative_information_score 13.60922 kb_relative_information_score 3.57616 kb_relative_information_score 10.979298 kb_relative_information_score 11.606675 kb_relative_information_score 12.014503 kb_relative_information_score 6.778988 kb_relative_information_score 13.010908 kb_relative_information_score 11.223079 kb_relative_information_score 7.633233 kb_relative_information_score 9.906485 kb_relative_information_score 13.612731 kb_relative_information_score 8.661191 kb_relative_information_score 9.876017 kb_relative_information_score 8.310962 kb_relative_information_score 19.386304 kb_relative_information_score 8.804051 kb_relative_information_score 8.717559 kb_relative_information_score 14.935035 kb_relative_information_score 10.992027 kb_relative_information_score 12.362571 kb_relative_information_score 16.931113 kb_relative_information_score 11.137373 kb_relative_information_score 7.674434 kb_relative_information_score 10.141145 kb_relative_information_score 11.19437 kb_relative_information_score 12.035372 kb_relative_information_score 9.79411 kb_relative_information_score 13.498729 kb_relative_information_score 5.728151 kb_relative_information_score 7.155183 kb_relative_information_score 7.779099 kb_relative_information_score 10.872757 kb_relative_information_score 12.255987 kb_relative_information_score 4.613234 kb_relative_information_score 13.363539 kb_relative_information_score 8.639663 kb_relative_information_score 12.389221 kb_relative_information_score 11.958727 kb_relative_information_score 14.339436 kb_relative_information_score 12.582257 kb_relative_information_score 6.889735 kb_relative_information_score 7.831989 kb_relative_information_score 13.034606 kb_relative_information_score 6.87488 kb_relative_information_score 9.789641 kb_relative_information_score 12.502917 kb_relative_information_score 10.537843 kb_relative_information_score 15.092031 kb_relative_information_score 10.95268 kb_relative_information_score 17.638648 kb_relative_information_score 13.503563 kb_relative_information_score 10.407583 kb_relative_information_score 8.765398 kb_relative_information_score 13.972541 kb_relative_information_score 14.798368 kb_relative_information_score 10.285546 kb_relative_information_score 16.231603 kb_relative_information_score 10.564746 kb_relative_information_score 11.662955 mean_absolute_error 0.361264 mean_absolute_error 0.246225 mean_absolute_error 0.23681 mean_absolute_error 0.303006 mean_absolute_error 0.267576 mean_absolute_error 0.321779 mean_absolute_error 0.322183 mean_absolute_error 0.301652 mean_absolute_error 0.36984 mean_absolute_error 0.232238 mean_absolute_error 0.350445 mean_absolute_error 0.374879 mean_absolute_error 0.261345 mean_absolute_error 0.271637 mean_absolute_error 0.235896 mean_absolute_error 0.337455 mean_absolute_error 0.206534 mean_absolute_error 0.267458 mean_absolute_error 0.332868 mean_absolute_error 0.258417 mean_absolute_error 0.210831 mean_absolute_error 0.329904 mean_absolute_error 0.241956 mean_absolute_error 0.404878 mean_absolute_error 0.24063 mean_absolute_error 0.251971 mean_absolute_error 0.307609 mean_absolute_error 0.30726 mean_absolute_error 0.267269 mean_absolute_error 0.335192 mean_absolute_error 0.34867 mean_absolute_error 0.267239 mean_absolute_error 0.283649 mean_absolute_error 0.327094 mean_absolute_error 0.199706 mean_absolute_error 0.331074 mean_absolute_error 0.236354 mean_absolute_error 0.233039 mean_absolute_error 0.287444 mean_absolute_error 0.30708 mean_absolute_error 0.212114 mean_absolute_error 0.243285 mean_absolute_error 0.433283 mean_absolute_error 0.295268 mean_absolute_error 0.274162 mean_absolute_error 0.265582 mean_absolute_error 0.37312 mean_absolute_error 0.251451 mean_absolute_error 0.283716 mean_absolute_error 0.354151 mean_absolute_error 0.309655 mean_absolute_error 0.238516 mean_absolute_error 0.335011 mean_absolute_error 0.304099 mean_absolute_error 0.343083 mean_absolute_error 0.130022 mean_absolute_error 0.331676 mean_absolute_error 0.338927 mean_absolute_error 0.219076 mean_absolute_error 0.287624 mean_absolute_error 0.265602 mean_absolute_error 0.175511 mean_absolute_error 0.297651 mean_absolute_error 0.352457 mean_absolute_error 0.310775 mean_absolute_error 0.28465 mean_absolute_error 0.272096 mean_absolute_error 0.314699 mean_absolute_error 0.239579 mean_absolute_error 0.392914 mean_absolute_error 0.357066 mean_absolute_error 0.34532 mean_absolute_error 0.289653 mean_absolute_error 0.268333 mean_absolute_error 0.399858 mean_absolute_error 0.24282 mean_absolute_error 0.336345 mean_absolute_error 0.269803 mean_absolute_error 0.277645 mean_absolute_error 0.222542 mean_absolute_error 0.262733 mean_absolute_error 0.365627 mean_absolute_error 0.354716 mean_absolute_error 0.250799 mean_absolute_error 0.370811 mean_absolute_error 0.310896 mean_absolute_error 0.254387 mean_absolute_error 0.295685 mean_absolute_error 0.209522 mean_absolute_error 0.288324 mean_absolute_error 0.163925 mean_absolute_error 0.249827 mean_absolute_error 0.299919 mean_absolute_error 0.329577 mean_absolute_error 0.234789 mean_absolute_error 0.2222 mean_absolute_error 0.292151 mean_absolute_error 0.188586 mean_absolute_error 0.296902 mean_absolute_error 0.276634 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49873 mean_prior_absolute_error 0.49619 mean_prior_absolute_error 0.49619 number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] number_of_instances 25 [12,13] number_of_instances 25 [11,14] number_of_instances 25 [11,14] precision 0.718667 [0.7,0.733333] precision 0.8 [0.8,0.8] precision 0.852632 [1,0.736842] precision 0.678333 [0.666667,0.6875] precision 0.846111 [0.888889,0.8125] precision 0.696471 [0.75,0.647059] precision 0.765333 [0.8,0.733333] precision 0.712 [0.6,0.8] precision 0.63974 [0.636364,0.642857] precision 0.802564 [0.769231,0.833333] precision 0.637353 [0.625,0.647059] precision 0.658701 [0.571429,0.727273] precision 0.803846 [0.75,0.846154] precision 0.76 [0.727273,0.785714] precision 0.88359 [0.833333,0.923077] precision 0.68 [0.666667,0.692308] precision 0.882078 [0.909091,0.857143] precision 0.781587 [0.857143,0.722222] precision 0.768312 [0.714286,0.818182] precision 0.801299 [0.818182,0.785714] precision 0.846111 [0.888889,0.8125] precision 0.781587 [0.857143,0.722222] precision 0.881333 [0.9,0.866667] precision 0.690769 [0.615385,0.75] precision 0.881333 [0.9,0.866667] precision 0.816667 [0.888889,0.75] precision 0.787059 [0.875,0.705882] precision 0.741039 [0.642857,0.818182] precision 0.801299 [0.818182,0.785714] precision 0.758095 [0.857143,0.666667] precision 0.68 [0.666667,0.692308] precision 0.84 [0.833333,0.846154] precision 0.765333 [0.8,0.733333] precision 0.758095 [0.857143,0.666667] precision 0.848 [0.9,0.8] precision 0.686753 [0.642857,0.727273] precision 0.88 [0.75,1] precision 0.882078 [0.909091,0.857143] precision 0.848 [0.9,0.8] precision 0.855556 [1,0.722222] precision 0.92 [0.916667,0.923077] precision 0.882821 [0.846154,0.916667] precision 0.657143 [0.75,0.571429] precision 0.816667 [0.888889,0.75] precision 0.76 [0.75,0.769231] precision 0.765333 [0.8,0.733333] precision 0.672353 [0.588235,0.75] precision 0.802564 [0.769231,0.833333] precision 0.758095 [0.857143,0.666667] precision 0.68 [0.666667,0.692308] precision 0.76 [0.75,0.769231] precision 0.816667 [0.888889,0.75] precision 0.720519 [0.727273,0.714286] precision 0.68 [0.666667,0.692308] precision 0.768312 [0.714286,0.818182] precision 0.963077 [0.923077,1] precision 0.768312 [0.714286,0.818182] precision 0.787059 [0.875,0.705882] precision 0.877647 [1,0.764706] precision 0.76 [0.75,0.769231] precision 0.801299 [0.818182,0.785714] precision 0.882078 [0.909091,0.857143] precision 0.84 [0.833333,0.846154] precision 0.704444 [0.625,0.777778] precision 0.801299 [0.818182,0.785714] precision 0.76 [0.75,0.769231] precision 0.84 [0.833333,0.846154] precision 0.76 [0.75,0.769231] precision 0.802564 [0.769231,0.833333] precision 0.682667 [0.7,0.666667] precision 0.652 [0.6,0.7] precision 0.642051 [0.615385,0.666667] precision 0.768312 [0.714286,0.818182] precision 0.855556 [1,0.722222] precision 0.558961 [0.545455,0.571429] precision 0.852632 [1,0.736842] precision 0.724103 [0.666667,0.769231] precision 0.84 [0.833333,0.846154] precision 0.905714 [0.785714,1] precision 0.905714 [0.785714,1] precision 0.82 [0.733333,0.9] precision 0.739048 [0.611111,0.857143] precision 0.720519 [0.727273,0.714286] precision 0.84987 [0.785714,0.909091] precision 0.704444 [0.625,0.777778] precision 0.771282 [0.692308,0.833333] precision 0.724103 [0.666667,0.769231] precision 0.720519 [0.727273,0.714286] precision 0.851795 [0.769231,0.916667] precision 0.8 [0.8,0.8] precision 0.92 [0.916667,0.923077] precision 0.848 [0.9,0.8] precision 0.792222 [0.6875,0.888889] precision 0.68 [0.666667,0.692308] precision 0.9025 [1,0.8125] precision 0.88359 [0.833333,0.923077] precision 0.68 [0.636364,0.714286] precision 0.84987 [0.785714,0.909091] precision 0.718667 [0.7,0.733333] precision 0.881333 [0.9,0.866667] predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.92 predictive_accuracy 0.88 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.64 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.96 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.88 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.64 predictive_accuracy 0.64 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.56 predictive_accuracy 0.8 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.68 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.84 predictive_accuracy 0.8 predictive_accuracy 0.92 predictive_accuracy 0.84 predictive_accuracy 0.76 predictive_accuracy 0.68 predictive_accuracy 0.88 predictive_accuracy 0.88 predictive_accuracy 0.68 predictive_accuracy 0.84 predictive_accuracy 0.72 predictive_accuracy 0.88 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 prior_entropy 0.99709 recall 0.72 [0.636364,0.785714] recall 0.8 [0.727273,0.857143] recall 0.8 [0.545455,1] recall 0.68 [0.545455,0.785714] recall 0.84 [0.727273,0.928571] recall 0.68 [0.5,0.846154] recall 0.76 [0.666667,0.846154] recall 0.68 [0.818182,0.571429] recall 0.64 [0.583333,0.692308] recall 0.8 [0.833333,0.769231] recall 0.64 [0.454545,0.785714] recall 0.64 [0.727273,0.571429] recall 0.8 [0.818182,0.785714] recall 0.76 [0.727273,0.785714] recall 0.88 [0.909091,0.857143] recall 0.68 [0.666667,0.692308] recall 0.88 [0.833333,0.923077] recall 0.76 [0.545455,0.928571] recall 0.76 [0.833333,0.692308] recall 0.8 [0.75,0.846154] recall 0.84 [0.727273,0.928571] recall 0.76 [0.545455,0.928571] recall 0.88 [0.818182,0.928571] recall 0.68 [0.727273,0.642857] recall 0.88 [0.818182,0.928571] recall 0.8 [0.666667,0.923077] recall 0.76 [0.583333,0.923077] recall 0.72 [0.818182,0.642857] recall 0.8 [0.75,0.846154] recall 0.72 [0.5,0.923077] recall 0.68 [0.666667,0.692308] recall 0.84 [0.833333,0.846154] recall 0.76 [0.666667,0.846154] recall 0.72 [0.5,0.923077] recall 0.84 [0.75,0.923077] recall 0.68 [0.75,0.615385] recall 0.84 [1,0.692308] recall 0.88 [0.833333,0.923077] recall 0.84 [0.75,0.923077] recall 0.8 [0.583333,1] recall 0.92 [0.916667,0.923077] recall 0.88 [0.916667,0.846154] recall 0.6 [0.25,0.923077] recall 0.8 [0.666667,0.923077] recall 0.76 [0.75,0.769231] recall 0.76 [0.666667,0.846154] recall 0.64 [0.833333,0.461538] recall 0.8 [0.833333,0.769231] recall 0.72 [0.5,0.923077] recall 0.68 [0.666667,0.692308] recall 0.76 [0.75,0.769231] recall 0.8 [0.666667,0.923077] recall 0.72 [0.666667,0.769231] recall 0.68 [0.666667,0.692308] recall 0.76 [0.833333,0.692308] recall 0.96 [1,0.923077] recall 0.76 [0.833333,0.692308] recall 0.76 [0.583333,0.923077] recall 0.84 [0.666667,1] recall 0.76 [0.75,0.769231] recall 0.8 [0.75,0.846154] recall 0.88 [0.833333,0.923077] recall 0.84 [0.833333,0.846154] recall 0.68 [0.833333,0.538462] recall 0.8 [0.75,0.846154] recall 0.76 [0.75,0.769231] recall 0.84 [0.833333,0.846154] recall 0.76 [0.75,0.769231] recall 0.8 [0.833333,0.769231] recall 0.68 [0.583333,0.769231] recall 0.64 [0.75,0.538462] recall 0.64 [0.666667,0.615385] recall 0.76 [0.833333,0.692308] recall 0.8 [0.583333,1] recall 0.56 [0.5,0.615385] recall 0.8 [0.545455,1] recall 0.72 [0.727273,0.714286] recall 0.84 [0.833333,0.846154] recall 0.88 [1,0.785714] recall 0.88 [1,0.785714] recall 0.8 [0.916667,0.692308] recall 0.68 [0.916667,0.461538] recall 0.72 [0.666667,0.769231] recall 0.84 [0.916667,0.769231] recall 0.68 [0.833333,0.538462] recall 0.76 [0.818182,0.714286] recall 0.72 [0.727273,0.714286] recall 0.72 [0.666667,0.769231] recall 0.84 [0.909091,0.785714] recall 0.8 [0.727273,0.857143] recall 0.92 [0.916667,0.923077] recall 0.84 [0.75,0.923077] recall 0.76 [0.916667,0.615385] recall 0.68 [0.666667,0.692308] recall 0.88 [0.75,1] recall 0.88 [0.909091,0.857143] recall 0.68 [0.636364,0.714286] recall 0.84 [0.916667,0.769231] recall 0.72 [0.636364,0.785714] recall 0.88 [0.818182,0.928571] relative_absolute_error 0.728076 relative_absolute_error 0.496231 relative_absolute_error 0.477256 relative_absolute_error 0.610664 relative_absolute_error 0.53926 relative_absolute_error 0.645197 relative_absolute_error 0.646007 relative_absolute_error 0.607936 relative_absolute_error 0.741564 relative_absolute_error 0.465659 relative_absolute_error 0.706272 relative_absolute_error 0.755514 relative_absolute_error 0.526702 relative_absolute_error 0.547444 relative_absolute_error 0.475414 relative_absolute_error 0.676628 relative_absolute_error 0.41412 relative_absolute_error 0.539024 relative_absolute_error 0.667431 relative_absolute_error 0.518151 relative_absolute_error 0.4249 relative_absolute_error 0.664873 relative_absolute_error 0.487627 relative_absolute_error 0.815973 relative_absolute_error 0.484955 relative_absolute_error 0.505225 relative_absolute_error 0.616784 relative_absolute_error 0.619238 relative_absolute_error 0.535898 relative_absolute_error 0.67209 relative_absolute_error 0.699116 relative_absolute_error 0.53584 relative_absolute_error 0.568743 relative_absolute_error 0.655854 relative_absolute_error 0.400429 relative_absolute_error 0.663834 relative_absolute_error 0.473912 relative_absolute_error 0.467264 relative_absolute_error 0.576352 relative_absolute_error 0.615723 relative_absolute_error 0.425307 relative_absolute_error 0.487809 relative_absolute_error 0.868773 relative_absolute_error 0.592039 relative_absolute_error 0.549721 relative_absolute_error 0.532516 relative_absolute_error 0.748139 relative_absolute_error 0.504183 relative_absolute_error 0.568876 relative_absolute_error 0.710105 relative_absolute_error 0.620887 relative_absolute_error 0.478247 relative_absolute_error 0.671728 relative_absolute_error 0.609747 relative_absolute_error 0.687913 relative_absolute_error 0.260707 relative_absolute_error 0.665042 relative_absolute_error 0.679579 relative_absolute_error 0.439267 relative_absolute_error 0.576714 relative_absolute_error 0.532557 relative_absolute_error 0.351916 relative_absolute_error 0.596817 relative_absolute_error 0.706709 relative_absolute_error 0.623132 relative_absolute_error 0.57075 relative_absolute_error 0.545577 relative_absolute_error 0.631001 relative_absolute_error 0.480379 relative_absolute_error 0.787828 relative_absolute_error 0.71595 relative_absolute_error 0.692398 relative_absolute_error 0.580782 relative_absolute_error 0.538032 relative_absolute_error 0.801752 relative_absolute_error 0.489368 relative_absolute_error 0.677854 relative_absolute_error 0.540981 relative_absolute_error 0.559554 relative_absolute_error 0.448502 relative_absolute_error 0.526804 relative_absolute_error 0.733116 relative_absolute_error 0.711237 relative_absolute_error 0.502875 relative_absolute_error 0.74351 relative_absolute_error 0.626566 relative_absolute_error 0.51268 relative_absolute_error 0.592877 relative_absolute_error 0.42226 relative_absolute_error 0.581075 relative_absolute_error 0.328686 relative_absolute_error 0.500926 relative_absolute_error 0.601365 relative_absolute_error 0.660833 relative_absolute_error 0.470774 relative_absolute_error 0.447813 relative_absolute_error 0.588789 relative_absolute_error 0.378132 relative_absolute_error 0.598364 relative_absolute_error 0.557516 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.499738 root_mean_prior_squared_error 0.49719 root_mean_prior_squared_error 0.49719 root_mean_squared_error 0.457685 root_mean_squared_error 0.366261 root_mean_squared_error 0.365367 root_mean_squared_error 0.394932 root_mean_squared_error 0.326083 root_mean_squared_error 0.440018 root_mean_squared_error 0.402347 root_mean_squared_error 0.406955 root_mean_squared_error 0.468903 root_mean_squared_error 0.348184 root_mean_squared_error 0.480692 root_mean_squared_error 0.489515 root_mean_squared_error 0.360589 root_mean_squared_error 0.404347 root_mean_squared_error 0.327496 root_mean_squared_error 0.436162 root_mean_squared_error 0.27659 root_mean_squared_error 0.392979 root_mean_squared_error 0.422081 root_mean_squared_error 0.369807 root_mean_squared_error 0.310337 root_mean_squared_error 0.439661 root_mean_squared_error 0.335417 root_mean_squared_error 0.475648 root_mean_squared_error 0.333888 root_mean_squared_error 0.339133 root_mean_squared_error 0.428524 root_mean_squared_error 0.431309 root_mean_squared_error 0.375269 root_mean_squared_error 0.435395 root_mean_squared_error 0.447363 root_mean_squared_error 0.361559 root_mean_squared_error 0.420466 root_mean_squared_error 0.460581 root_mean_squared_error 0.317473 root_mean_squared_error 0.445454 root_mean_squared_error 0.329118 root_mean_squared_error 0.32894 root_mean_squared_error 0.40048 root_mean_squared_error 0.386524 root_mean_squared_error 0.274815 root_mean_squared_error 0.329498 root_mean_squared_error 0.505342 root_mean_squared_error 0.390453 root_mean_squared_error 0.420239 root_mean_squared_error 0.402376 root_mean_squared_error 0.460742 root_mean_squared_error 0.345132 root_mean_squared_error 0.405284 root_mean_squared_error 0.462368 root_mean_squared_error 0.413502 root_mean_squared_error 0.338755 root_mean_squared_error 0.44794 root_mean_squared_error 0.435075 root_mean_squared_error 0.44153 root_mean_squared_error 0.201483 root_mean_squared_error 0.427607 root_mean_squared_error 0.40328 root_mean_squared_error 0.292818 root_mean_squared_error 0.424583 root_mean_squared_error 0.381244 root_mean_squared_error 0.269587 root_mean_squared_error 0.377547 root_mean_squared_error 0.457338 root_mean_squared_error 0.411096 root_mean_squared_error 0.388448 root_mean_squared_error 0.357797 root_mean_squared_error 0.41486 root_mean_squared_error 0.357235 root_mean_squared_error 0.504107 root_mean_squared_error 0.485992 root_mean_squared_error 0.450429 root_mean_squared_error 0.38489 root_mean_squared_error 0.342491 root_mean_squared_error 0.51394 root_mean_squared_error 0.316997 root_mean_squared_error 0.422146 root_mean_squared_error 0.376103 root_mean_squared_error 0.349137 root_mean_squared_error 0.313793 root_mean_squared_error 0.340656 root_mean_squared_error 0.471564 root_mean_squared_error 0.412721 root_mean_squared_error 0.339889 root_mean_squared_error 0.467003 root_mean_squared_error 0.408917 root_mean_squared_error 0.354124 root_mean_squared_error 0.409898 root_mean_squared_error 0.302401 root_mean_squared_error 0.391261 root_mean_squared_error 0.249633 root_mean_squared_error 0.332972 root_mean_squared_error 0.397867 root_mean_squared_error 0.443795 root_mean_squared_error 0.33203 root_mean_squared_error 0.282757 root_mean_squared_error 0.433814 root_mean_squared_error 0.27374 root_mean_squared_error 0.415102 root_mean_squared_error 0.372445 root_relative_squared_error 0.920542 root_relative_squared_error 0.736661 root_relative_squared_error 0.734863 root_relative_squared_error 0.794327 root_relative_squared_error 0.655851 root_relative_squared_error 0.880498 root_relative_squared_error 0.805116 root_relative_squared_error 0.818509 root_relative_squared_error 0.938297 root_relative_squared_error 0.696733 root_relative_squared_error 0.966817 root_relative_squared_error 0.984563 root_relative_squared_error 0.725252 root_relative_squared_error 0.813264 root_relative_squared_error 0.658694 root_relative_squared_error 0.872781 root_relative_squared_error 0.553471 root_relative_squared_error 0.790399 root_relative_squared_error 0.844605 root_relative_squared_error 0.740003 root_relative_squared_error 0.624181 root_relative_squared_error 0.884292 root_relative_squared_error 0.674625 root_relative_squared_error 0.956672 root_relative_squared_error 0.671549 root_relative_squared_error 0.678622 root_relative_squared_error 0.857497 root_relative_squared_error 0.867493 root_relative_squared_error 0.750931 root_relative_squared_error 0.871247 root_relative_squared_error 0.895195 root_relative_squared_error 0.723496 root_relative_squared_error 0.841373 root_relative_squared_error 0.921646 root_relative_squared_error 0.635278 root_relative_squared_error 0.891376 root_relative_squared_error 0.658582 root_relative_squared_error 0.658225 root_relative_squared_error 0.80138 root_relative_squared_error 0.773453 root_relative_squared_error 0.549919 root_relative_squared_error 0.659341 root_relative_squared_error 1.011215 root_relative_squared_error 0.781316 root_relative_squared_error 0.840919 root_relative_squared_error 0.805174 root_relative_squared_error 0.921967 root_relative_squared_error 0.690625 root_relative_squared_error 0.810994 root_relative_squared_error 0.925221 root_relative_squared_error 0.827437 root_relative_squared_error 0.677865 root_relative_squared_error 0.89635 root_relative_squared_error 0.870607 root_relative_squared_error 0.883522 root_relative_squared_error 0.403177 root_relative_squared_error 0.855662 root_relative_squared_error 0.806984 root_relative_squared_error 0.585942 root_relative_squared_error 0.849611 root_relative_squared_error 0.762888 root_relative_squared_error 0.539457 root_relative_squared_error 0.755491 root_relative_squared_error 0.915156 root_relative_squared_error 0.822624 root_relative_squared_error 0.777303 root_relative_squared_error 0.715969 root_relative_squared_error 0.830156 root_relative_squared_error 0.714844 root_relative_squared_error 1.008743 root_relative_squared_error 0.972494 root_relative_squared_error 0.90133 root_relative_squared_error 0.770184 root_relative_squared_error 0.685341 root_relative_squared_error 1.028419 root_relative_squared_error 0.637577 root_relative_squared_error 0.849063 root_relative_squared_error 0.7526 root_relative_squared_error 0.70222 root_relative_squared_error 0.631132 root_relative_squared_error 0.68167 root_relative_squared_error 0.943623 root_relative_squared_error 0.825875 root_relative_squared_error 0.680135 root_relative_squared_error 0.934497 root_relative_squared_error 0.822456 root_relative_squared_error 0.71225 root_relative_squared_error 0.820225 root_relative_squared_error 0.60822 root_relative_squared_error 0.786943 root_relative_squared_error 0.499527 root_relative_squared_error 0.666292 root_relative_squared_error 0.796151 root_relative_squared_error 0.888055 root_relative_squared_error 0.664407 root_relative_squared_error 0.568709 root_relative_squared_error 0.872531 root_relative_squared_error 0.547767 root_relative_squared_error 0.834895 root_relative_squared_error 0.7491 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 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 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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 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 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 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