466100 2 Joaquin Vanschoren 1911 Supervised Classification predictive_accuracy 1174 weka.KernelLogisticRegression_RBFKernel(1) 2016 weka.classifiers.functions.KernelLogisticRegression -- -S 1 -K "weka.classifiers.functions.supportVector.RBFKernel -G 0.01 -C 250007" -L 0.01 -P 1 -E 1 S 1 1174 K weka.classifiers.functions.supportVector.RBFKernel 1174 L 0.01 1174 P 1 1174 E 1 1174 G 0.01 1175 C 250007 1175 weka weka_3.7.12 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 1639371 description https://api.openml.org/data/download/1639371/weka_generated_run4962123708999765882.xml -1 1639374 model_readable https://api.openml.org/data/download/1639374/WekaModel_weka.classifiers.functions.KernelLogisticRegression3762843091549745389.model -1 1639373 model_serialized https://api.openml.org/data/download/1639373/WekaSerialized_weka.classifiers.functions.KernelLogisticRegression5468680390833358101.model -1 1639372 predictions https://api.openml.org/data/download/1639372/weka_generated_predictions4553865131406194456.arff area_under_roc_curve 0.779246 [0.779246,0.779246] average_cost 0 f_measure 0.752708 [0.835417,0.559721] kappa 0.397506 kb_relative_information_score 2939.040334 mean_absolute_error 0.287949 mean_prior_absolute_error 0.42016 number_of_instances 10000 [7000,3000] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.750305 [0.804578,0.623669] predictive_accuracy 0.7604 prior_entropy 0.881778 recall 0.7604 [0.868714,0.507667] relative_absolute_error 0.685333 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.414996 root_relative_squared_error 0.905596 scimark_benchmark 943.8235 [549.194176949874, 1014.7208839634673, 481.9307652369574, 909.2750931850325, 1763.996579689319] total_cost 0 usercpu_time_millis 40180 usercpu_time_millis_testing 810 usercpu_time_millis_training 39370 area_under_roc_curve 0.816667 [0.816667,0.816667] area_under_roc_curve 0.749048 [0.749048,0.749048] area_under_roc_curve 0.72381 [0.72381,0.72381] area_under_roc_curve 0.757619 [0.757619,0.757619] area_under_roc_curve 0.870952 [0.870952,0.870952] area_under_roc_curve 0.809048 [0.809048,0.809048] area_under_roc_curve 0.790476 [0.790476,0.790476] area_under_roc_curve 0.873333 [0.873333,0.873333] area_under_roc_curve 0.74619 [0.74619,0.74619] area_under_roc_curve 0.759524 [0.759524,0.759524] area_under_roc_curve 0.751905 [0.751905,0.751905] area_under_roc_curve 0.806667 [0.806667,0.806667] area_under_roc_curve 0.786667 [0.786667,0.786667] area_under_roc_curve 0.731905 [0.731905,0.731905] area_under_roc_curve 0.814286 [0.814286,0.814286] area_under_roc_curve 0.775238 [0.775238,0.775238] area_under_roc_curve 0.782381 [0.782381,0.782381] area_under_roc_curve 0.735238 [0.735238,0.735238] area_under_roc_curve 0.811905 [0.811905,0.811905] area_under_roc_curve 0.740476 [0.740476,0.740476] area_under_roc_curve 0.785238 [0.785238,0.785238] area_under_roc_curve 0.705238 [0.705238,0.705238] area_under_roc_curve 0.792381 [0.792381,0.792381] area_under_roc_curve 0.794762 [0.794762,0.794762] area_under_roc_curve 0.674762 [0.674762,0.674762] area_under_roc_curve 0.830952 [0.830952,0.830952] area_under_roc_curve 0.772857 [0.772857,0.772857] area_under_roc_curve 0.789524 [0.789524,0.789524] area_under_roc_curve 0.74381 [0.74381,0.74381] area_under_roc_curve 0.794762 [0.794762,0.794762] area_under_roc_curve 0.768095 [0.768095,0.768095] area_under_roc_curve 0.807143 [0.807143,0.807143] area_under_roc_curve 0.79619 [0.79619,0.79619] area_under_roc_curve 0.808571 [0.808571,0.808571] area_under_roc_curve 0.821905 [0.821905,0.821905] area_under_roc_curve 0.759524 [0.759524,0.759524] area_under_roc_curve 0.776667 [0.776667,0.776667] area_under_roc_curve 0.818571 [0.818571,0.818571] area_under_roc_curve 0.758571 [0.758571,0.758571] area_under_roc_curve 0.767619 [0.767619,0.767619] area_under_roc_curve 0.75381 [0.75381,0.75381] area_under_roc_curve 0.78381 [0.78381,0.78381] area_under_roc_curve 0.785238 [0.785238,0.785238] area_under_roc_curve 0.720476 [0.720476,0.720476] area_under_roc_curve 0.797143 [0.797143,0.797143] area_under_roc_curve 0.741905 [0.741905,0.741905] area_under_roc_curve 0.81619 [0.81619,0.81619] area_under_roc_curve 0.829524 [0.829524,0.829524] area_under_roc_curve 0.712857 [0.712857,0.712857] area_under_roc_curve 0.724762 [0.724762,0.724762] area_under_roc_curve 0.801905 [0.801905,0.801905] area_under_roc_curve 0.730952 [0.730952,0.730952] area_under_roc_curve 0.752857 [0.752857,0.752857] area_under_roc_curve 0.809048 [0.809048,0.809048] area_under_roc_curve 0.741905 [0.741905,0.741905] area_under_roc_curve 0.764286 [0.764286,0.764286] area_under_roc_curve 0.812857 [0.812857,0.812857] area_under_roc_curve 0.751905 [0.751905,0.751905] area_under_roc_curve 0.827619 [0.827619,0.827619] area_under_roc_curve 0.775238 [0.775238,0.775238] area_under_roc_curve 0.740952 [0.740952,0.740952] area_under_roc_curve 0.760952 [0.760952,0.760952] area_under_roc_curve 0.799524 [0.799524,0.799524] area_under_roc_curve 0.80381 [0.80381,0.80381] area_under_roc_curve 0.848095 [0.848095,0.848095] area_under_roc_curve 0.713333 [0.713333,0.713333] area_under_roc_curve 0.81381 [0.81381,0.81381] area_under_roc_curve 0.792857 [0.792857,0.792857] area_under_roc_curve 0.849048 [0.849048,0.849048] area_under_roc_curve 0.745714 [0.745714,0.745714] area_under_roc_curve 0.787619 [0.787619,0.787619] area_under_roc_curve 0.794762 [0.794762,0.794762] area_under_roc_curve 0.730952 [0.730952,0.730952] area_under_roc_curve 0.848095 [0.848095,0.848095] area_under_roc_curve 0.755238 [0.755238,0.755238] area_under_roc_curve 0.869524 [0.869524,0.869524] area_under_roc_curve 0.789048 [0.789048,0.789048] area_under_roc_curve 0.682381 [0.682381,0.682381] area_under_roc_curve 0.812381 [0.812381,0.812381] area_under_roc_curve 0.781429 [0.781429,0.781429] area_under_roc_curve 0.824286 [0.824286,0.824286] area_under_roc_curve 0.838095 [0.838095,0.838095] area_under_roc_curve 0.801429 [0.801429,0.801429] area_under_roc_curve 0.742381 [0.742381,0.742381] area_under_roc_curve 0.726667 [0.726667,0.726667] area_under_roc_curve 0.784762 [0.784762,0.784762] area_under_roc_curve 0.724762 [0.724762,0.724762] area_under_roc_curve 0.840476 [0.840476,0.840476] area_under_roc_curve 0.767619 [0.767619,0.767619] area_under_roc_curve 0.821905 [0.821905,0.821905] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.739524 [0.739524,0.739524] area_under_roc_curve 0.80619 [0.80619,0.80619] area_under_roc_curve 0.807143 [0.807143,0.807143] area_under_roc_curve 0.760476 [0.760476,0.760476] area_under_roc_curve 0.75381 [0.75381,0.75381] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.795714 [0.795714,0.795714] area_under_roc_curve 0.800476 [0.800476,0.800476] area_under_roc_curve 0.792857 [0.792857,0.792857] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.801977 [0.870748,0.641509] f_measure 0.69694 [0.788732,0.482759] f_measure 0.727027 [0.824324,0.5] f_measure 0.728669 [0.808511,0.542373] f_measure 0.810874 [0.863309,0.688525] f_measure 0.792998 [0.863014,0.62963] f_measure 0.801977 [0.870748,0.641509] f_measure 0.811019 [0.878378,0.653846] f_measure 0.718598 [0.816327,0.490566] f_measure 0.763511 [0.841379,0.581818] f_measure 0.697754 [0.802721,0.45283] f_measure 0.761184 [0.855263,0.541667] f_measure 0.748025 [0.837838,0.538462] f_measure 0.742947 [0.827586,0.545455] f_measure 0.754762 [0.833333,0.571429] f_measure 0.752561 [0.847682,0.530612] f_measure 0.757552 [0.830986,0.586207] f_measure 0.726046 [0.836601,0.468085] f_measure 0.763511 [0.841379,0.581818] f_measure 0.734325 [0.819444,0.535714] f_measure 0.769023 [0.851351,0.576923] f_measure 0.701818 [0.8,0.472727] f_measure 0.748768 [0.822695,0.576271] f_measure 0.754762 [0.833333,0.571429] f_measure 0.676909 [0.789116,0.415094] f_measure 0.822978 [0.867647,0.71875] f_measure 0.725727 [0.811189,0.526316] f_measure 0.713889 [0.805556,0.5] f_measure 0.765333 [0.853333,0.56] f_measure 0.763511 [0.841379,0.581818] f_measure 0.777756 [0.84507,0.62069] f_measure 0.76636 [0.839161,0.596491] f_measure 0.726046 [0.836601,0.468085] f_measure 0.757552 [0.830986,0.586207] f_measure 0.795635 [0.861111,0.642857] f_measure 0.701818 [0.8,0.472727] f_measure 0.768866 [0.836879,0.610169] f_measure 0.772298 [0.849315,0.592593] f_measure 0.781132 [0.857143,0.603774] f_measure 0.763511 [0.841379,0.581818] f_measure 0.718598 [0.816327,0.490566] f_measure 0.727027 [0.824324,0.5] f_measure 0.752561 [0.847682,0.530612] f_measure 0.768866 [0.836879,0.610169] f_measure 0.728669 [0.808511,0.542373] f_measure 0.718598 [0.816327,0.490566] f_measure 0.739474 [0.842105,0.5] f_measure 0.731045 [0.834437,0.489796] f_measure 0.772298 [0.849315,0.592593] f_measure 0.701333 [0.813333,0.44] f_measure 0.795594 [0.874172,0.612245] f_measure 0.725727 [0.811189,0.526316] f_measure 0.722382 [0.813793,0.509091] f_measure 0.731045 [0.834437,0.489796] f_measure 0.746043 [0.825175,0.561404] f_measure 0.739443 [0.829932,0.528302] f_measure 0.769023 [0.851351,0.576923] f_measure 0.731045 [0.834437,0.489796] f_measure 0.742947 [0.827586,0.545455] f_measure 0.754762 [0.833333,0.571429] f_measure 0.746043 [0.825175,0.561404] f_measure 0.746043 [0.825175,0.561404] f_measure 0.739443 [0.829932,0.528302] f_measure 0.784075 [0.855172,0.618182] f_measure 0.801977 [0.870748,0.641509] f_measure 0.708571 [0.794326,0.508475] f_measure 0.781132 [0.857143,0.603774] f_measure 0.79796 [0.859155,0.655172] f_measure 0.829162 [0.879433,0.711864] f_measure 0.718598 [0.816327,0.490566] f_measure 0.754762 [0.833333,0.571429] f_measure 0.722382 [0.813793,0.509091] f_measure 0.728669 [0.808511,0.542373] f_measure 0.816071 [0.875,0.678571] f_measure 0.727027 [0.824324,0.5] f_measure 0.82731 [0.881119,0.701754] f_measure 0.746043 [0.825175,0.561404] f_measure 0.691426 [0.776978,0.491803] f_measure 0.734325 [0.819444,0.535714] f_measure 0.775198 [0.847222,0.607143] f_measure 0.781132 [0.857143,0.603774] f_measure 0.820134 [0.885906,0.666667] f_measure 0.714331 [0.818792,0.470588] f_measure 0.714331 [0.818792,0.470588] f_measure 0.688012 [0.807947,0.408163] f_measure 0.730898 [0.821918,0.518519] f_measure 0.714331 [0.818792,0.470588] f_measure 0.810874 [0.863309,0.688525] f_measure 0.735492 [0.832215,0.509804] f_measure 0.781132 [0.857143,0.603774] f_measure 0.804639 [0.868966,0.654545] f_measure 0.735492 [0.832215,0.509804] f_measure 0.763511 [0.841379,0.581818] f_measure 0.784075 [0.855172,0.618182] f_measure 0.751598 [0.835616,0.555556] f_measure 0.710198 [0.808219,0.481481] f_measure 0.701818 [0.8,0.472727] f_measure 0.78 [0.842857,0.633333] f_measure 0.76636 [0.839161,0.596491] f_measure 0.781132 [0.857143,0.603774] kappa 0.515306 kappa 0.271845 kappa 0.329897 kappa 0.350962 kappa 0.551887 kappa 0.494949 kappa 0.515306 kappa 0.536082 kappa 0.311224 kappa 0.425 kappa 0.260204 kappa 0.408602 kappa 0.381443 kappa 0.375 kappa 0.405941 kappa 0.388298 kappa 0.417476 kappa 0.320652 kappa 0.425 kappa 0.356436 kappa 0.43299 kappa 0.275 kappa 0.399038 kappa 0.405941 kappa 0.209184 kappa 0.587156 kappa 0.338235 kappa 0.306931 kappa 0.421053 kappa 0.425 kappa 0.466019 kappa 0.436275 kappa 0.320652 kappa 0.417476 kappa 0.50495 kappa 0.275 kappa 0.447115 kappa 0.444444 kappa 0.464286 kappa 0.425 kappa 0.311224 kappa 0.329897 kappa 0.388298 kappa 0.447115 kappa 0.350962 kappa 0.311224 kappa 0.354839 kappa 0.335106 kappa 0.444444 kappa 0.263158 kappa 0.494681 kappa 0.338235 kappa 0.325 kappa 0.335106 kappa 0.387255 kappa 0.362245 kappa 0.43299 kappa 0.335106 kappa 0.375 kappa 0.405941 kappa 0.387255 kappa 0.387255 kappa 0.362245 kappa 0.475 kappa 0.515306 kappa 0.302885 kappa 0.464286 kappa 0.514563 kappa 0.591346 kappa 0.311224 kappa 0.405941 kappa 0.325 kappa 0.350962 kappa 0.554455 kappa 0.329897 kappa 0.583333 kappa 0.387255 kappa 0.268868 kappa 0.356436 kappa 0.455446 kappa 0.464286 kappa 0.557292 kappa 0.296875 kappa 0.296875 kappa 0.228723 kappa 0.343434 kappa 0.296875 kappa 0.551887 kappa 0.348958 kappa 0.464286 kappa 0.525 kappa 0.348958 kappa 0.425 kappa 0.475 kappa 0.393939 kappa 0.292929 kappa 0.275 kappa 0.47619 kappa 0.436275 kappa 0.464286 kb_relative_information_score 31.924841 kb_relative_information_score 22.936028 kb_relative_information_score 24.35888 kb_relative_information_score 23.939097 kb_relative_information_score 35.605062 kb_relative_information_score 32.687895 kb_relative_information_score 34.088194 kb_relative_information_score 38.885493 kb_relative_information_score 20.834454 kb_relative_information_score 27.37688 kb_relative_information_score 23.919588 kb_relative_information_score 34.230241 kb_relative_information_score 33.489655 kb_relative_information_score 27.492873 kb_relative_information_score 30.616919 kb_relative_information_score 35.849083 kb_relative_information_score 28.503918 kb_relative_information_score 27.747532 kb_relative_information_score 30.141906 kb_relative_information_score 23.135464 kb_relative_information_score 32.423754 kb_relative_information_score 20.549161 kb_relative_information_score 27.975779 kb_relative_information_score 29.707913 kb_relative_information_score 18.267739 kb_relative_information_score 32.229925 kb_relative_information_score 25.261601 kb_relative_information_score 26.849515 kb_relative_information_score 29.516427 kb_relative_information_score 34.434619 kb_relative_information_score 26.962863 kb_relative_information_score 32.126025 kb_relative_information_score 29.682866 kb_relative_information_score 31.492328 kb_relative_information_score 38.080821 kb_relative_information_score 22.83226 kb_relative_information_score 28.667312 kb_relative_information_score 39.273798 kb_relative_information_score 33.085737 kb_relative_information_score 28.55748 kb_relative_information_score 23.296375 kb_relative_information_score 26.584375 kb_relative_information_score 32.770102 kb_relative_information_score 29.888059 kb_relative_information_score 26.274708 kb_relative_information_score 25.092327 kb_relative_information_score 32.632295 kb_relative_information_score 30.40485 kb_relative_information_score 27.412689 kb_relative_information_score 20.189801 kb_relative_information_score 36.989292 kb_relative_information_score 19.09562 kb_relative_information_score 25.533128 kb_relative_information_score 31.608022 kb_relative_information_score 26.265622 kb_relative_information_score 27.510059 kb_relative_information_score 34.76161 kb_relative_information_score 25.569131 kb_relative_information_score 32.370855 kb_relative_information_score 32.480763 kb_relative_information_score 24.780847 kb_relative_information_score 26.857297 kb_relative_information_score 29.365926 kb_relative_information_score 30.056312 kb_relative_information_score 41.422771 kb_relative_information_score 19.379766 kb_relative_information_score 37.898353 kb_relative_information_score 33.493968 kb_relative_information_score 42.295276 kb_relative_information_score 18.181588 kb_relative_information_score 31.040823 kb_relative_information_score 27.175046 kb_relative_information_score 23.224586 kb_relative_information_score 40.555699 kb_relative_information_score 25.916412 kb_relative_information_score 38.858633 kb_relative_information_score 24.146003 kb_relative_information_score 11.732762 kb_relative_information_score 25.6242 kb_relative_information_score 34.766945 kb_relative_information_score 36.160573 kb_relative_information_score 41.435591 kb_relative_information_score 31.539374 kb_relative_information_score 24.395899 kb_relative_information_score 22.173384 kb_relative_information_score 29.737087 kb_relative_information_score 24.956665 kb_relative_information_score 37.370081 kb_relative_information_score 28.015414 kb_relative_information_score 36.268782 kb_relative_information_score 32.992207 kb_relative_information_score 28.737853 kb_relative_information_score 29.11935 kb_relative_information_score 33.401335 kb_relative_information_score 25.344284 kb_relative_information_score 26.666072 kb_relative_information_score 22.846 kb_relative_information_score 32.417949 kb_relative_information_score 32.461076 kb_relative_information_score 33.756532 mean_absolute_error 0.277156 mean_absolute_error 0.310543 mean_absolute_error 0.304593 mean_absolute_error 0.305045 mean_absolute_error 0.267247 mean_absolute_error 0.278572 mean_absolute_error 0.276262 mean_absolute_error 0.258439 mean_absolute_error 0.315432 mean_absolute_error 0.294219 mean_absolute_error 0.301243 mean_absolute_error 0.268792 mean_absolute_error 0.273281 mean_absolute_error 0.295998 mean_absolute_error 0.284463 mean_absolute_error 0.265208 mean_absolute_error 0.290251 mean_absolute_error 0.29356 mean_absolute_error 0.284377 mean_absolute_error 0.309211 mean_absolute_error 0.277839 mean_absolute_error 0.322152 mean_absolute_error 0.292677 mean_absolute_error 0.287275 mean_absolute_error 0.326881 mean_absolute_error 0.281336 mean_absolute_error 0.307846 mean_absolute_error 0.294988 mean_absolute_error 0.29102 mean_absolute_error 0.269459 mean_absolute_error 0.296176 mean_absolute_error 0.280147 mean_absolute_error 0.286611 mean_absolute_error 0.282742 mean_absolute_error 0.257955 mean_absolute_error 0.310937 mean_absolute_error 0.29436 mean_absolute_error 0.252798 mean_absolute_error 0.277198 mean_absolute_error 0.293715 mean_absolute_error 0.311403 mean_absolute_error 0.295209 mean_absolute_error 0.278332 mean_absolute_error 0.286962 mean_absolute_error 0.296848 mean_absolute_error 0.29907 mean_absolute_error 0.277444 mean_absolute_error 0.284842 mean_absolute_error 0.297858 mean_absolute_error 0.318253 mean_absolute_error 0.263746 mean_absolute_error 0.323051 mean_absolute_error 0.301725 mean_absolute_error 0.279884 mean_absolute_error 0.297584 mean_absolute_error 0.295725 mean_absolute_error 0.266527 mean_absolute_error 0.300927 mean_absolute_error 0.279083 mean_absolute_error 0.276884 mean_absolute_error 0.302664 mean_absolute_error 0.299003 mean_absolute_error 0.290421 mean_absolute_error 0.288033 mean_absolute_error 0.241975 mean_absolute_error 0.318952 mean_absolute_error 0.257125 mean_absolute_error 0.273147 mean_absolute_error 0.240238 mean_absolute_error 0.330371 mean_absolute_error 0.284061 mean_absolute_error 0.29296 mean_absolute_error 0.309988 mean_absolute_error 0.250521 mean_absolute_error 0.302906 mean_absolute_error 0.250477 mean_absolute_error 0.306901 mean_absolute_error 0.351223 mean_absolute_error 0.298143 mean_absolute_error 0.267724 mean_absolute_error 0.267021 mean_absolute_error 0.247136 mean_absolute_error 0.281572 mean_absolute_error 0.303179 mean_absolute_error 0.308445 mean_absolute_error 0.290998 mean_absolute_error 0.299804 mean_absolute_error 0.258013 mean_absolute_error 0.294604 mean_absolute_error 0.263416 mean_absolute_error 0.276109 mean_absolute_error 0.289424 mean_absolute_error 0.286772 mean_absolute_error 0.272387 mean_absolute_error 0.305734 mean_absolute_error 0.295973 mean_absolute_error 0.30777 mean_absolute_error 0.273809 mean_absolute_error 0.275805 mean_absolute_error 0.270766 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 mean_prior_absolute_error 0.42016 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.803557 [0.831169,0.73913] precision 0.694444 [0.777778,0.5] precision 0.724709 [0.782051,0.590909] precision 0.727489 [0.802817,0.551724] precision 0.811921 [0.869565,0.677419] precision 0.792763 [0.828947,0.708333] precision 0.803557 [0.831169,0.73913] precision 0.815152 [0.833333,0.772727] precision 0.71502 [0.779221,0.565217] precision 0.761333 [0.813333,0.64] precision 0.692885 [0.766234,0.521739] precision 0.771545 [0.792683,0.722222] precision 0.747319 [0.794872,0.636364] precision 0.74 [0.8,0.6] precision 0.752183 [0.810811,0.615385] precision 0.75835 [0.790123,0.684211] precision 0.755754 [0.819444,0.607143] precision 0.733877 [0.771084,0.647059] precision 0.761333 [0.813333,0.64] precision 0.731185 [0.797297,0.576923] precision 0.76993 [0.807692,0.681818] precision 0.697333 [0.773333,0.52] precision 0.747693 [0.816901,0.586207] precision 0.752183 [0.810811,0.615385] precision 0.670751 [0.753247,0.478261] precision 0.828699 [0.893939,0.676471] precision 0.722831 [0.794521,0.555556] precision 0.710187 [0.783784,0.538462] precision 0.77 [0.8,0.7] precision 0.761333 [0.813333,0.64] precision 0.77619 [0.833333,0.642857] precision 0.764231 [0.821918,0.62963] precision 0.733877 [0.771084,0.647059] precision 0.755754 [0.819444,0.607143] precision 0.794179 [0.837838,0.692308] precision 0.697333 [0.773333,0.52] precision 0.767897 [0.830986,0.62069] precision 0.771053 [0.815789,0.666667] precision 0.781423 [0.818182,0.695652] precision 0.761333 [0.813333,0.64] precision 0.71502 [0.779221,0.565217] precision 0.724709 [0.782051,0.590909] precision 0.75835 [0.790123,0.684211] precision 0.767897 [0.830986,0.62069] precision 0.727489 [0.802817,0.551724] precision 0.71502 [0.779221,0.565217] precision 0.746341 [0.780488,0.666667] precision 0.733918 [0.777778,0.631579] precision 0.771053 [0.815789,0.666667] precision 0.69875 [0.7625,0.55] precision 0.807212 [0.814815,0.789474] precision 0.722831 [0.794521,0.555556] precision 0.718667 [0.786667,0.56] precision 0.733918 [0.777778,0.631579] precision 0.743531 [0.808219,0.592593] precision 0.737154 [0.792208,0.608696] precision 0.76993 [0.807692,0.681818] precision 0.733918 [0.777778,0.631579] precision 0.74 [0.8,0.6] precision 0.752183 [0.810811,0.615385] precision 0.743531 [0.808219,0.592593] precision 0.743531 [0.808219,0.592593] precision 0.737154 [0.792208,0.608696] precision 0.782667 [0.826667,0.68] precision 0.803557 [0.831169,0.73913] precision 0.707285 [0.788732,0.517241] precision 0.781423 [0.818182,0.695652] precision 0.796627 [0.847222,0.678571] precision 0.828509 [0.873239,0.724138] precision 0.71502 [0.779221,0.565217] precision 0.752183 [0.810811,0.615385] precision 0.718667 [0.786667,0.56] precision 0.727489 [0.802817,0.551724] precision 0.815177 [0.851351,0.730769] precision 0.724709 [0.782051,0.590909] precision 0.826332 [0.863014,0.740741] precision 0.743531 [0.808219,0.592593] precision 0.692987 [0.782609,0.483871] precision 0.731185 [0.797297,0.576923] precision 0.773181 [0.824324,0.653846] precision 0.781423 [0.818182,0.695652] precision 0.827667 [0.835443,0.809524] precision 0.711935 [0.772152,0.571429] precision 0.711935 [0.772152,0.571429] precision 0.685055 [0.753086,0.526316] precision 0.727632 [0.789474,0.583333] precision 0.711935 [0.772152,0.571429] precision 0.811921 [0.869565,0.677419] precision 0.735081 [0.78481,0.619048] precision 0.781423 [0.818182,0.695652] precision 0.804 [0.84,0.72] precision 0.735081 [0.78481,0.619048] precision 0.761333 [0.813333,0.64] precision 0.782667 [0.826667,0.68] precision 0.749342 [0.802632,0.625] precision 0.705921 [0.776316,0.541667] precision 0.697333 [0.773333,0.52] precision 0.78 [0.842857,0.633333] precision 0.764231 [0.821918,0.62963] precision 0.781423 [0.818182,0.695652] predictive_accuracy 0.81 predictive_accuracy 0.7 predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.81 predictive_accuracy 0.8 predictive_accuracy 0.81 predictive_accuracy 0.82 predictive_accuracy 0.73 predictive_accuracy 0.77 predictive_accuracy 0.71 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.77 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.71 predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.69 predictive_accuracy 0.82 predictive_accuracy 0.73 predictive_accuracy 0.72 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.71 predictive_accuracy 0.77 predictive_accuracy 0.78 predictive_accuracy 0.79 predictive_accuracy 0.77 predictive_accuracy 0.73 predictive_accuracy 0.74 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.73 predictive_accuracy 0.73 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.72 predictive_accuracy 0.81 predictive_accuracy 0.73 predictive_accuracy 0.73 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.79 predictive_accuracy 0.81 predictive_accuracy 0.71 predictive_accuracy 0.79 predictive_accuracy 0.8 predictive_accuracy 0.83 predictive_accuracy 0.73 predictive_accuracy 0.76 predictive_accuracy 0.73 predictive_accuracy 0.73 predictive_accuracy 0.82 predictive_accuracy 0.74 predictive_accuracy 0.83 predictive_accuracy 0.75 predictive_accuracy 0.69 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.79 predictive_accuracy 0.83 predictive_accuracy 0.73 predictive_accuracy 0.73 predictive_accuracy 0.71 predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.81 predictive_accuracy 0.75 predictive_accuracy 0.79 predictive_accuracy 0.81 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.79 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.71 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.79 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 prior_entropy 0.881778 recall 0.81 [0.914286,0.566667] recall 0.7 [0.8,0.466667] recall 0.74 [0.871429,0.433333] recall 0.73 [0.814286,0.533333] recall 0.81 [0.857143,0.7] recall 0.8 [0.9,0.566667] recall 0.81 [0.914286,0.566667] recall 0.82 [0.928571,0.566667] recall 0.73 [0.857143,0.433333] recall 0.77 [0.871429,0.533333] recall 0.71 [0.842857,0.4] recall 0.78 [0.928571,0.433333] recall 0.76 [0.885714,0.466667] recall 0.75 [0.857143,0.5] recall 0.76 [0.857143,0.533333] recall 0.77 [0.914286,0.433333] recall 0.76 [0.842857,0.566667] recall 0.75 [0.914286,0.366667] recall 0.77 [0.871429,0.533333] recall 0.74 [0.842857,0.5] recall 0.78 [0.9,0.5] recall 0.71 [0.828571,0.433333] recall 0.75 [0.828571,0.566667] recall 0.76 [0.857143,0.533333] recall 0.69 [0.828571,0.366667] recall 0.82 [0.842857,0.766667] recall 0.73 [0.828571,0.5] recall 0.72 [0.828571,0.466667] recall 0.78 [0.914286,0.466667] recall 0.77 [0.871429,0.533333] recall 0.78 [0.857143,0.6] recall 0.77 [0.857143,0.566667] recall 0.75 [0.914286,0.366667] recall 0.76 [0.842857,0.566667] recall 0.8 [0.885714,0.6] recall 0.71 [0.828571,0.433333] recall 0.77 [0.842857,0.6] recall 0.78 [0.885714,0.533333] recall 0.79 [0.9,0.533333] recall 0.77 [0.871429,0.533333] recall 0.73 [0.857143,0.433333] recall 0.74 [0.871429,0.433333] recall 0.77 [0.914286,0.433333] recall 0.77 [0.842857,0.6] recall 0.73 [0.814286,0.533333] recall 0.73 [0.857143,0.433333] recall 0.76 [0.914286,0.4] recall 0.75 [0.9,0.4] recall 0.78 [0.885714,0.533333] recall 0.72 [0.871429,0.366667] recall 0.81 [0.942857,0.5] recall 0.73 [0.828571,0.5] recall 0.73 [0.842857,0.466667] recall 0.75 [0.9,0.4] recall 0.75 [0.842857,0.533333] recall 0.75 [0.871429,0.466667] recall 0.78 [0.9,0.5] recall 0.75 [0.9,0.4] recall 0.75 [0.857143,0.5] recall 0.76 [0.857143,0.533333] recall 0.75 [0.842857,0.533333] recall 0.75 [0.842857,0.533333] recall 0.75 [0.871429,0.466667] recall 0.79 [0.885714,0.566667] recall 0.81 [0.914286,0.566667] recall 0.71 [0.8,0.5] recall 0.79 [0.9,0.533333] recall 0.8 [0.871429,0.633333] recall 0.83 [0.885714,0.7] recall 0.73 [0.857143,0.433333] recall 0.76 [0.857143,0.533333] recall 0.73 [0.842857,0.466667] recall 0.73 [0.814286,0.533333] recall 0.82 [0.9,0.633333] recall 0.74 [0.871429,0.433333] recall 0.83 [0.9,0.666667] recall 0.75 [0.842857,0.533333] recall 0.69 [0.771429,0.5] recall 0.74 [0.842857,0.5] recall 0.78 [0.871429,0.566667] recall 0.79 [0.9,0.533333] recall 0.83 [0.942857,0.566667] recall 0.73 [0.871429,0.4] recall 0.73 [0.871429,0.4] recall 0.71 [0.871429,0.333333] recall 0.74 [0.857143,0.466667] recall 0.73 [0.871429,0.4] recall 0.81 [0.857143,0.7] recall 0.75 [0.885714,0.433333] recall 0.79 [0.9,0.533333] recall 0.81 [0.9,0.6] recall 0.75 [0.885714,0.433333] recall 0.77 [0.871429,0.533333] recall 0.79 [0.885714,0.566667] recall 0.76 [0.871429,0.5] recall 0.72 [0.842857,0.433333] recall 0.71 [0.828571,0.433333] recall 0.78 [0.842857,0.633333] recall 0.77 [0.857143,0.566667] recall 0.79 [0.9,0.533333] relative_absolute_error 0.659644 relative_absolute_error 0.739107 relative_absolute_error 0.724946 relative_absolute_error 0.726021 relative_absolute_error 0.636061 relative_absolute_error 0.663014 relative_absolute_error 0.657517 relative_absolute_error 0.615097 relative_absolute_error 0.750742 relative_absolute_error 0.700255 relative_absolute_error 0.716972 relative_absolute_error 0.639738 relative_absolute_error 0.650423 relative_absolute_error 0.704489 relative_absolute_error 0.677035 relative_absolute_error 0.631208 relative_absolute_error 0.69081 relative_absolute_error 0.698687 relative_absolute_error 0.676831 relative_absolute_error 0.735937 relative_absolute_error 0.661269 relative_absolute_error 0.766738 relative_absolute_error 0.696586 relative_absolute_error 0.683728 relative_absolute_error 0.777993 relative_absolute_error 0.669592 relative_absolute_error 0.732689 relative_absolute_error 0.702086 relative_absolute_error 0.692642 relative_absolute_error 0.641326 relative_absolute_error 0.704913 relative_absolute_error 0.666763 relative_absolute_error 0.682147 relative_absolute_error 0.67294 relative_absolute_error 0.613946 relative_absolute_error 0.740044 relative_absolute_error 0.700592 relative_absolute_error 0.601672 relative_absolute_error 0.659745 relative_absolute_error 0.699056 relative_absolute_error 0.741155 relative_absolute_error 0.702611 relative_absolute_error 0.662442 relative_absolute_error 0.682983 relative_absolute_error 0.706512 relative_absolute_error 0.711802 relative_absolute_error 0.660331 relative_absolute_error 0.677938 relative_absolute_error 0.708916 relative_absolute_error 0.757456 relative_absolute_error 0.627727 relative_absolute_error 0.768876 relative_absolute_error 0.71812 relative_absolute_error 0.666137 relative_absolute_error 0.708264 relative_absolute_error 0.703839 relative_absolute_error 0.634346 relative_absolute_error 0.71622 relative_absolute_error 0.66423 relative_absolute_error 0.658996 relative_absolute_error 0.720354 relative_absolute_error 0.71164 relative_absolute_error 0.691216 relative_absolute_error 0.685532 relative_absolute_error 0.575911 relative_absolute_error 0.75912 relative_absolute_error 0.61197 relative_absolute_error 0.650102 relative_absolute_error 0.571777 relative_absolute_error 0.786298 relative_absolute_error 0.676078 relative_absolute_error 0.69726 relative_absolute_error 0.737787 relative_absolute_error 0.596252 relative_absolute_error 0.720931 relative_absolute_error 0.596148 relative_absolute_error 0.730439 relative_absolute_error 0.835928 relative_absolute_error 0.709595 relative_absolute_error 0.637196 relative_absolute_error 0.635524 relative_absolute_error 0.588196 relative_absolute_error 0.670154 relative_absolute_error 0.72158 relative_absolute_error 0.734114 relative_absolute_error 0.692589 relative_absolute_error 0.713548 relative_absolute_error 0.614082 relative_absolute_error 0.701173 relative_absolute_error 0.626942 relative_absolute_error 0.657152 relative_absolute_error 0.688842 relative_absolute_error 0.682532 relative_absolute_error 0.648295 relative_absolute_error 0.727661 relative_absolute_error 0.704429 relative_absolute_error 0.732507 relative_absolute_error 0.651678 relative_absolute_error 0.65643 relative_absolute_error 0.644437 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.405042 root_mean_squared_error 0.440403 root_mean_squared_error 0.435526 root_mean_squared_error 0.436749 root_mean_squared_error 0.365152 root_mean_squared_error 0.39481 root_mean_squared_error 0.398662 root_mean_squared_error 0.357785 root_mean_squared_error 0.447294 root_mean_squared_error 0.42973 root_mean_squared_error 0.446896 root_mean_squared_error 0.402902 root_mean_squared_error 0.410339 root_mean_squared_error 0.434437 root_mean_squared_error 0.402711 root_mean_squared_error 0.398854 root_mean_squared_error 0.417356 root_mean_squared_error 0.43014 root_mean_squared_error 0.404726 root_mean_squared_error 0.431179 root_mean_squared_error 0.416161 root_mean_squared_error 0.461721 root_mean_squared_error 0.423831 root_mean_squared_error 0.413379 root_mean_squared_error 0.471287 root_mean_squared_error 0.393465 root_mean_squared_error 0.409796 root_mean_squared_error 0.42051 root_mean_squared_error 0.420583 root_mean_squared_error 0.396019 root_mean_squared_error 0.411582 root_mean_squared_error 0.405221 root_mean_squared_error 0.416298 root_mean_squared_error 0.394856 root_mean_squared_error 0.38058 root_mean_squared_error 0.439041 root_mean_squared_error 0.426676 root_mean_squared_error 0.378094 root_mean_squared_error 0.414727 root_mean_squared_error 0.41329 root_mean_squared_error 0.441065 root_mean_squared_error 0.420252 root_mean_squared_error 0.414927 root_mean_squared_error 0.429686 root_mean_squared_error 0.424587 root_mean_squared_error 0.430912 root_mean_squared_error 0.398204 root_mean_squared_error 0.401416 root_mean_squared_error 0.432641 root_mean_squared_error 0.439288 root_mean_squared_error 0.389742 root_mean_squared_error 0.443475 root_mean_squared_error 0.430447 root_mean_squared_error 0.410193 root_mean_squared_error 0.435216 root_mean_squared_error 0.427443 root_mean_squared_error 0.401993 root_mean_squared_error 0.434241 root_mean_squared_error 0.398755 root_mean_squared_error 0.421465 root_mean_squared_error 0.441597 root_mean_squared_error 0.432409 root_mean_squared_error 0.41029 root_mean_squared_error 0.39587 root_mean_squared_error 0.371347 root_mean_squared_error 0.454779 root_mean_squared_error 0.390858 root_mean_squared_error 0.400953 root_mean_squared_error 0.361588 root_mean_squared_error 0.429493 root_mean_squared_error 0.404229 root_mean_squared_error 0.414276 root_mean_squared_error 0.445888 root_mean_squared_error 0.365203 root_mean_squared_error 0.426559 root_mean_squared_error 0.362525 root_mean_squared_error 0.423438 root_mean_squared_error 0.479017 root_mean_squared_error 0.413545 root_mean_squared_error 0.406443 root_mean_squared_error 0.384429 root_mean_squared_error 0.363335 root_mean_squared_error 0.398198 root_mean_squared_error 0.439861 root_mean_squared_error 0.448908 root_mean_squared_error 0.410645 root_mean_squared_error 0.448676 root_mean_squared_error 0.378135 root_mean_squared_error 0.411921 root_mean_squared_error 0.390752 root_mean_squared_error 0.388223 root_mean_squared_error 0.421897 root_mean_squared_error 0.391997 root_mean_squared_error 0.397471 root_mean_squared_error 0.41489 root_mean_squared_error 0.422672 root_mean_squared_error 0.437521 root_mean_squared_error 0.413388 root_mean_squared_error 0.401524 root_mean_squared_error 0.410852 root_relative_squared_error 0.883874 root_relative_squared_error 0.961037 root_relative_squared_error 0.950396 root_relative_squared_error 0.953065 root_relative_squared_error 0.796828 root_relative_squared_error 0.861545 root_relative_squared_error 0.869952 root_relative_squared_error 0.78075 root_relative_squared_error 0.976076 root_relative_squared_error 0.937747 root_relative_squared_error 0.975206 root_relative_squared_error 0.879205 root_relative_squared_error 0.895432 root_relative_squared_error 0.94802 root_relative_squared_error 0.878786 root_relative_squared_error 0.870371 root_relative_squared_error 0.910746 root_relative_squared_error 0.938643 root_relative_squared_error 0.883185 root_relative_squared_error 0.94091 root_relative_squared_error 0.908138 root_relative_squared_error 1.007558 root_relative_squared_error 0.924875 root_relative_squared_error 0.902066 root_relative_squared_error 1.028432 root_relative_squared_error 0.858612 root_relative_squared_error 0.894248 root_relative_squared_error 0.917628 root_relative_squared_error 0.917788 root_relative_squared_error 0.864185 root_relative_squared_error 0.898146 root_relative_squared_error 0.884264 root_relative_squared_error 0.908435 root_relative_squared_error 0.861646 root_relative_squared_error 0.830494 root_relative_squared_error 0.958067 root_relative_squared_error 0.931082 root_relative_squared_error 0.825069 root_relative_squared_error 0.905007 root_relative_squared_error 0.901872 root_relative_squared_error 0.962483 root_relative_squared_error 0.917064 root_relative_squared_error 0.905444 root_relative_squared_error 0.937651 root_relative_squared_error 0.926524 root_relative_squared_error 0.940326 root_relative_squared_error 0.868953 root_relative_squared_error 0.875962 root_relative_squared_error 0.944099 root_relative_squared_error 0.958605 root_relative_squared_error 0.850486 root_relative_squared_error 0.967741 root_relative_squared_error 0.939312 root_relative_squared_error 0.895113 root_relative_squared_error 0.949719 root_relative_squared_error 0.932757 root_relative_squared_error 0.877219 root_relative_squared_error 0.94759 root_relative_squared_error 0.870155 root_relative_squared_error 0.919711 root_relative_squared_error 0.963643 root_relative_squared_error 0.943594 root_relative_squared_error 0.895325 root_relative_squared_error 0.863858 root_relative_squared_error 0.810345 root_relative_squared_error 0.992408 root_relative_squared_error 0.852922 root_relative_squared_error 0.87495 root_relative_squared_error 0.78905 root_relative_squared_error 0.937231 root_relative_squared_error 0.8821 root_relative_squared_error 0.904024 root_relative_squared_error 0.973006 root_relative_squared_error 0.796939 root_relative_squared_error 0.930828 root_relative_squared_error 0.791093 root_relative_squared_error 0.924017 root_relative_squared_error 1.045301 root_relative_squared_error 0.902428 root_relative_squared_error 0.886931 root_relative_squared_error 0.838892 root_relative_squared_error 0.792862 root_relative_squared_error 0.868939 root_relative_squared_error 0.959854 root_relative_squared_error 0.979598 root_relative_squared_error 0.8961 root_relative_squared_error 0.979091 root_relative_squared_error 0.825158 root_relative_squared_error 0.898886 root_relative_squared_error 0.85269 root_relative_squared_error 0.847171 root_relative_squared_error 0.920655 root_relative_squared_error 0.855407 root_relative_squared_error 0.867352 root_relative_squared_error 0.905364 root_relative_squared_error 0.922346 root_relative_squared_error 0.954749 root_relative_squared_error 0.902087 root_relative_squared_error 0.876197 root_relative_squared_error 0.896552 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 40550 usercpu_time_millis 30010 usercpu_time_millis 30150 usercpu_time_millis 28300 usercpu_time_millis 27820 usercpu_time_millis 50070 usercpu_time_millis 28680 usercpu_time_millis 39760 usercpu_time_millis 39630 usercpu_time_millis 30010 usercpu_time_millis 27720 usercpu_time_millis 29810 usercpu_time_millis 49450 usercpu_time_millis 20790 usercpu_time_millis 28100 usercpu_time_millis 30080 usercpu_time_millis 39930 usercpu_time_millis 39770 usercpu_time_millis 30690 usercpu_time_millis 30180 usercpu_time_millis 28330 usercpu_time_millis 39980 usercpu_time_millis 38030 usercpu_time_millis 28130 usercpu_time_millis 34660 usercpu_time_millis 40160 usercpu_time_millis 39720 usercpu_time_millis 29650 usercpu_time_millis 50500 usercpu_time_millis 40390 usercpu_time_millis 27130 usercpu_time_millis 49480 usercpu_time_millis 33290 usercpu_time_millis 27240 usercpu_time_millis 27390 usercpu_time_millis 30030 usercpu_time_millis 29860 usercpu_time_millis 39780 usercpu_time_millis 51230 usercpu_time_millis 40190 usercpu_time_millis 28890 usercpu_time_millis 39650 usercpu_time_millis 27190 usercpu_time_millis 28190 usercpu_time_millis 27430 usercpu_time_millis 40680 usercpu_time_millis 59770 usercpu_time_millis 50250 usercpu_time_millis 39670 usercpu_time_millis 38890 usercpu_time_millis 29740 usercpu_time_millis 29800 usercpu_time_millis 21160 usercpu_time_millis 27830 usercpu_time_millis 34190 usercpu_time_millis 41670 usercpu_time_millis 30230 usercpu_time_millis 50020 usercpu_time_millis 39910 usercpu_time_millis 49850 usercpu_time_millis 30200 usercpu_time_millis 39880 usercpu_time_millis 20310 usercpu_time_millis 34730 usercpu_time_millis 49650 usercpu_time_millis 41330 usercpu_time_millis 39960 usercpu_time_millis 50110 usercpu_time_millis 40000 usercpu_time_millis 39950 usercpu_time_millis 50060 usercpu_time_millis 29960 usercpu_time_millis 31100 usercpu_time_millis 21120 usercpu_time_millis 40140 usercpu_time_millis 31090 usercpu_time_millis 50090 usercpu_time_millis 40160 usercpu_time_millis 38840 usercpu_time_millis 29700 usercpu_time_millis 29770 usercpu_time_millis 49030 usercpu_time_millis 34350 usercpu_time_millis 28200 usercpu_time_millis 40110 usercpu_time_millis 50050 usercpu_time_millis 30150 usercpu_time_millis 29770 usercpu_time_millis 40130 usercpu_time_millis 40050 usercpu_time_millis 29730 usercpu_time_millis 40110 usercpu_time_millis 33900 usercpu_time_millis 35120 usercpu_time_millis 40190 usercpu_time_millis 40200 usercpu_time_millis 40180 usercpu_time_millis 40260 usercpu_time_millis 30020 usercpu_time_millis 39600 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 50 usercpu_time_millis_testing 60 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 60 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 50 usercpu_time_millis_testing 90 usercpu_time_millis_testing 60 usercpu_time_millis_testing 50 usercpu_time_millis_testing 60 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 60 usercpu_time_millis_testing 60 usercpu_time_millis_testing 60 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 50 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 60 usercpu_time_millis_testing 50 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 60 usercpu_time_millis_testing 50 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 60 usercpu_time_millis_testing 60 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 80 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 50 usercpu_time_millis_testing 60 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 usercpu_time_millis_testing 90 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