344142 2 Joaquin Vanschoren 1911 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 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 1183127 description https://api.openml.org/data/download/1183127/weka_generated_run8215586506271029330.xml -1 1183130 model_readable https://api.openml.org/data/download/1183130/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE7073553673574090636.model -1 1183129 model_serialized https://api.openml.org/data/download/1183129/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE3280788893377955237.model -1 1183128 predictions https://api.openml.org/data/download/1183128/weka_generated_predictions4647625360176293547.arff area_under_roc_curve 0.785596 [0.785596,0.785596] average_cost 0 f_measure 0.743784 [0.833209,0.535126] kappa 0.372508 kb_relative_information_score 2563.934135 mean_absolute_error 0.305643 mean_prior_absolute_error 0.42016 number_of_instances 10000 [7000,3000] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.741922 [0.794403,0.619465] predictive_accuracy 0.7545 prior_entropy 0.881778 recall 0.7545 [0.876,0.471] relative_absolute_error 0.727445 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.412908 root_relative_squared_error 0.901039 scimark_benchmark 1350.772059 [812.0300923888153, 997.1306614464737, 536.0668061671846, 1111.7217792496772, 3296.910956867085] total_cost 0 usercpu_time_millis 10 usercpu_time_millis_testing 10 usercpu_time_millis_training 0 area_under_roc_curve 0.814762 [0.814762,0.814762] area_under_roc_curve 0.756667 [0.756667,0.756667] area_under_roc_curve 0.705238 [0.705238,0.705238] area_under_roc_curve 0.795238 [0.795238,0.795238] area_under_roc_curve 0.855238 [0.855238,0.855238] area_under_roc_curve 0.799524 [0.799524,0.799524] area_under_roc_curve 0.797619 [0.797619,0.797619] area_under_roc_curve 0.860952 [0.860952,0.860952] area_under_roc_curve 0.67381 [0.67381,0.67381] area_under_roc_curve 0.735714 [0.735714,0.735714] area_under_roc_curve 0.733333 [0.733333,0.733333] area_under_roc_curve 0.812857 [0.812857,0.812857] area_under_roc_curve 0.802381 [0.802381,0.802381] area_under_roc_curve 0.750952 [0.750952,0.750952] area_under_roc_curve 0.781905 [0.781905,0.781905] area_under_roc_curve 0.773333 [0.773333,0.773333] area_under_roc_curve 0.80381 [0.80381,0.80381] area_under_roc_curve 0.817143 [0.817143,0.817143] area_under_roc_curve 0.826667 [0.826667,0.826667] area_under_roc_curve 0.760476 [0.760476,0.760476] area_under_roc_curve 0.711905 [0.711905,0.711905] area_under_roc_curve 0.748571 [0.748571,0.748571] area_under_roc_curve 0.78381 [0.78381,0.78381] area_under_roc_curve 0.779048 [0.779048,0.779048] area_under_roc_curve 0.690476 [0.690476,0.690476] area_under_roc_curve 0.790476 [0.790476,0.790476] area_under_roc_curve 0.718571 [0.718571,0.718571] area_under_roc_curve 0.73619 [0.73619,0.73619] area_under_roc_curve 0.77 [0.77,0.77] area_under_roc_curve 0.815238 [0.815238,0.815238] area_under_roc_curve 0.779524 [0.779524,0.779524] area_under_roc_curve 0.76381 [0.76381,0.76381] area_under_roc_curve 0.793333 [0.793333,0.793333] area_under_roc_curve 0.777619 [0.777619,0.777619] area_under_roc_curve 0.787143 [0.787143,0.787143] area_under_roc_curve 0.779524 [0.779524,0.779524] area_under_roc_curve 0.802857 [0.802857,0.802857] area_under_roc_curve 0.818095 [0.818095,0.818095] area_under_roc_curve 0.79619 [0.79619,0.79619] area_under_roc_curve 0.779048 [0.779048,0.779048] area_under_roc_curve 0.752381 [0.752381,0.752381] area_under_roc_curve 0.775238 [0.775238,0.775238] area_under_roc_curve 0.764762 [0.764762,0.764762] area_under_roc_curve 0.720238 [0.720238,0.720238] area_under_roc_curve 0.827619 [0.827619,0.827619] area_under_roc_curve 0.778571 [0.778571,0.778571] area_under_roc_curve 0.814286 [0.814286,0.814286] area_under_roc_curve 0.827619 [0.827619,0.827619] area_under_roc_curve 0.749048 [0.749048,0.749048] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.804762 [0.804762,0.804762] area_under_roc_curve 0.762381 [0.762381,0.762381] area_under_roc_curve 0.815238 [0.815238,0.815238] area_under_roc_curve 0.802619 [0.802619,0.802619] area_under_roc_curve 0.78619 [0.78619,0.78619] area_under_roc_curve 0.810952 [0.810952,0.810952] area_under_roc_curve 0.809048 [0.809048,0.809048] area_under_roc_curve 0.722857 [0.722857,0.722857] area_under_roc_curve 0.804286 [0.804286,0.804286] area_under_roc_curve 0.832381 [0.832381,0.832381] area_under_roc_curve 0.823333 [0.823333,0.823333] area_under_roc_curve 0.739524 [0.739524,0.739524] area_under_roc_curve 0.818095 [0.818095,0.818095] area_under_roc_curve 0.826667 [0.826667,0.826667] area_under_roc_curve 0.86619 [0.86619,0.86619] area_under_roc_curve 0.753333 [0.753333,0.753333] area_under_roc_curve 0.795714 [0.795714,0.795714] area_under_roc_curve 0.770476 [0.770476,0.770476] area_under_roc_curve 0.817619 [0.817619,0.817619] area_under_roc_curve 0.797143 [0.797143,0.797143] area_under_roc_curve 0.850952 [0.850952,0.850952] area_under_roc_curve 0.757143 [0.757143,0.757143] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.833333 [0.833333,0.833333] area_under_roc_curve 0.82619 [0.82619,0.82619] area_under_roc_curve 0.867619 [0.867619,0.867619] area_under_roc_curve 0.801905 [0.801905,0.801905] area_under_roc_curve 0.720952 [0.720952,0.720952] area_under_roc_curve 0.79619 [0.79619,0.79619] area_under_roc_curve 0.781429 [0.781429,0.781429] area_under_roc_curve 0.807143 [0.807143,0.807143] area_under_roc_curve 0.825714 [0.825714,0.825714] area_under_roc_curve 0.82619 [0.82619,0.82619] area_under_roc_curve 0.753333 [0.753333,0.753333] area_under_roc_curve 0.769048 [0.769048,0.769048] area_under_roc_curve 0.805714 [0.805714,0.805714] area_under_roc_curve 0.752857 [0.752857,0.752857] area_under_roc_curve 0.884286 [0.884286,0.884286] area_under_roc_curve 0.774762 [0.774762,0.774762] area_under_roc_curve 0.78 [0.78,0.78] area_under_roc_curve 0.792381 [0.792381,0.792381] area_under_roc_curve 0.801429 [0.801429,0.801429] area_under_roc_curve 0.799524 [0.799524,0.799524] area_under_roc_curve 0.810476 [0.810476,0.810476] area_under_roc_curve 0.804762 [0.804762,0.804762] area_under_roc_curve 0.713333 [0.713333,0.713333] area_under_roc_curve 0.739048 [0.739048,0.739048] area_under_roc_curve 0.789048 [0.789048,0.789048] area_under_roc_curve 0.82619 [0.82619,0.82619] area_under_roc_curve 0.790476 [0.790476,0.790476] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.784075 [0.855172,0.618182] f_measure 0.688012 [0.807947,0.408163] f_measure 0.701818 [0.8,0.472727] f_measure 0.742947 [0.827586,0.545455] f_measure 0.82731 [0.881119,0.701754] f_measure 0.768866 [0.836879,0.610169] f_measure 0.792998 [0.863014,0.62963] f_measure 0.801977 [0.870748,0.641509] f_measure 0.668798 [0.780822,0.407407] f_measure 0.752561 [0.847682,0.530612] f_measure 0.674342 [0.802632,0.375] f_measure 0.760288 [0.843537,0.566038] f_measure 0.800791 [0.883117,0.608696] f_measure 0.727027 [0.824324,0.5] f_measure 0.777756 [0.84507,0.62069] f_measure 0.736987 [0.853503,0.465116] f_measure 0.751598 [0.835616,0.555556] f_measure 0.734387 [0.844156,0.478261] f_measure 0.769023 [0.851351,0.576923] f_measure 0.76 [0.828571,0.6] f_measure 0.710198 [0.808219,0.481481] f_measure 0.739443 [0.829932,0.528302] f_measure 0.689498 [0.794521,0.444444] f_measure 0.739474 [0.842105,0.5] f_measure 0.731045 [0.834437,0.489796] f_measure 0.727027 [0.824324,0.5] f_measure 0.666495 [0.794702,0.367347] f_measure 0.69317 [0.805369,0.431373] f_measure 0.698065 [0.825806,0.4] f_measure 0.765333 [0.853333,0.56] f_measure 0.733472 [0.80292,0.571429] f_measure 0.760288 [0.843537,0.566038] f_measure 0.731045 [0.834437,0.489796] f_measure 0.714331 [0.818792,0.470588] f_measure 0.722667 [0.826667,0.48] f_measure 0.754762 [0.833333,0.571429] f_measure 0.746043 [0.825175,0.561404] f_measure 0.756652 [0.845638,0.54902] f_measure 0.786667 [0.866667,0.6] f_measure 0.751598 [0.835616,0.555556] f_measure 0.713889 [0.805556,0.5] f_measure 0.701333 [0.813333,0.44] f_measure 0.710198 [0.808219,0.481481] f_measure 0.725727 [0.811189,0.526316] f_measure 0.748768 [0.822695,0.576271] f_measure 0.734325 [0.819444,0.535714] f_measure 0.726046 [0.836601,0.468085] f_measure 0.760288 [0.843537,0.566038] f_measure 0.748025 [0.837838,0.538462] f_measure 0.739443 [0.829932,0.528302] f_measure 0.722667 [0.826667,0.48] f_measure 0.71373 [0.788321,0.539683] f_measure 0.748025 [0.837838,0.538462] f_measure 0.761184 [0.855263,0.541667] f_measure 0.746043 [0.825175,0.561404] f_measure 0.727027 [0.824324,0.5] f_measure 0.804605 [0.881579,0.625] f_measure 0.744 [0.84,0.52] f_measure 0.722667 [0.826667,0.48] f_measure 0.748025 [0.837838,0.538462] f_measure 0.784075 [0.855172,0.618182] f_measure 0.706029 [0.810811,0.461538] f_measure 0.726046 [0.836601,0.468085] f_measure 0.775198 [0.847222,0.607143] f_measure 0.769879 [0.862745,0.553191] f_measure 0.757552 [0.830986,0.586207] f_measure 0.727027 [0.824324,0.5] f_measure 0.689498 [0.794521,0.444444] f_measure 0.825204 [0.882759,0.690909] f_measure 0.722382 [0.813793,0.509091] f_measure 0.765333 [0.853333,0.56] f_measure 0.664033 [0.783784,0.384615] f_measure 0.7 [0.785714,0.5] f_measure 0.79796 [0.859155,0.655172] f_measure 0.792998 [0.863014,0.62963] f_measure 0.790021 [0.864865,0.615385] f_measure 0.79796 [0.859155,0.655172] f_measure 0.676736 [0.774648,0.448276] f_measure 0.734325 [0.819444,0.535714] f_measure 0.718598 [0.816327,0.490566] f_measure 0.765333 [0.853333,0.56] f_measure 0.791795 [0.875817,0.595745] f_measure 0.777813 [0.85906,0.588235] f_measure 0.718598 [0.816327,0.490566] f_measure 0.701333 [0.813333,0.44] f_measure 0.735492 [0.832215,0.509804] f_measure 0.739443 [0.829932,0.528302] f_measure 0.825204 [0.882759,0.690909] f_measure 0.739443 [0.829932,0.528302] f_measure 0.76636 [0.839161,0.596491] f_measure 0.760288 [0.843537,0.566038] f_measure 0.769023 [0.851351,0.576923] f_measure 0.790966 [0.848921,0.655738] f_measure 0.731045 [0.834437,0.489796] f_measure 0.739474 [0.842105,0.5] f_measure 0.688012 [0.807947,0.408163] f_measure 0.681254 [0.786207,0.436364] f_measure 0.775198 [0.847222,0.607143] f_measure 0.751598 [0.835616,0.555556] f_measure 0.748025 [0.837838,0.538462] kappa 0.475 kappa 0.228723 kappa 0.275 kappa 0.375 kappa 0.583333 kappa 0.447115 kappa 0.494949 kappa 0.515306 kappa 0.191919 kappa 0.388298 kappa 0.193548 kappa 0.413265 kappa 0.505495 kappa 0.329897 kappa 0.466019 kappa 0.346591 kappa 0.393939 kappa 0.340659 kappa 0.43299 kappa 0.428571 kappa 0.292929 kappa 0.362245 kappa 0.242424 kappa 0.354839 kappa 0.335106 kappa 0.329897 kappa 0.175532 kappa 0.244792 kappa 0.25 kappa 0.421053 kappa 0.375 kappa 0.413265 kappa 0.335106 kappa 0.296875 kappa 0.315789 kappa 0.405941 kappa 0.387255 kappa 0.401042 kappa 0.473684 kappa 0.393939 kappa 0.306931 kappa 0.263158 kappa 0.292929 kappa 0.338235 kappa 0.399038 kappa 0.356436 kappa 0.320652 kappa 0.413265 kappa 0.381443 kappa 0.362245 kappa 0.315789 kappa 0.328704 kappa 0.381443 kappa 0.408602 kappa 0.387255 kappa 0.329897 kappa 0.516129 kappa 0.368421 kappa 0.315789 kappa 0.381443 kappa 0.475 kappa 0.278351 kappa 0.320652 kappa 0.455446 kappa 0.429348 kappa 0.417476 kappa 0.329897 kappa 0.242424 kappa 0.575 kappa 0.325 kappa 0.421053 kappa 0.175258 kappa 0.285714 kappa 0.514563 kappa 0.494949 kappa 0.484536 kappa 0.514563 kappa 0.223301 kappa 0.356436 kappa 0.311224 kappa 0.421053 kappa 0.483696 kappa 0.453125 kappa 0.311224 kappa 0.263158 kappa 0.348958 kappa 0.362245 kappa 0.575 kappa 0.362245 kappa 0.436275 kappa 0.413265 kappa 0.43299 kappa 0.504717 kappa 0.335106 kappa 0.354839 kappa 0.228723 kappa 0.225 kappa 0.455446 kappa 0.393939 kappa 0.381443 kb_relative_information_score 28.246696 kb_relative_information_score 23.648565 kb_relative_information_score 15.789612 kb_relative_information_score 22.110252 kb_relative_information_score 35.781946 kb_relative_information_score 27.677738 kb_relative_information_score 32.321181 kb_relative_information_score 32.477802 kb_relative_information_score 10.033146 kb_relative_information_score 23.532388 kb_relative_information_score 19.552549 kb_relative_information_score 29.183294 kb_relative_information_score 32.49215 kb_relative_information_score 22.95914 kb_relative_information_score 22.902044 kb_relative_information_score 29.131984 kb_relative_information_score 26.658037 kb_relative_information_score 31.089032 kb_relative_information_score 28.695287 kb_relative_information_score 19.312886 kb_relative_information_score 20.128212 kb_relative_information_score 22.664792 kb_relative_information_score 22.074599 kb_relative_information_score 26.883681 kb_relative_information_score 19.551841 kb_relative_information_score 24.983879 kb_relative_information_score 12.435057 kb_relative_information_score 18.321941 kb_relative_information_score 25.550616 kb_relative_information_score 28.860606 kb_relative_information_score 20.145773 kb_relative_information_score 25.043392 kb_relative_information_score 25.303351 kb_relative_information_score 23.860915 kb_relative_information_score 27.450483 kb_relative_information_score 23.192208 kb_relative_information_score 26.174656 kb_relative_information_score 30.507315 kb_relative_information_score 28.90477 kb_relative_information_score 26.967824 kb_relative_information_score 19.591571 kb_relative_information_score 20.997886 kb_relative_information_score 24.284538 kb_relative_information_score 21.419267 kb_relative_information_score 26.722802 kb_relative_information_score 25.082508 kb_relative_information_score 27.197664 kb_relative_information_score 26.502008 kb_relative_information_score 22.675251 kb_relative_information_score 28.45287 kb_relative_information_score 27.970837 kb_relative_information_score 16.794767 kb_relative_information_score 27.359312 kb_relative_information_score 27.302002 kb_relative_information_score 27.64085 kb_relative_information_score 26.454362 kb_relative_information_score 32.812879 kb_relative_information_score 21.994797 kb_relative_information_score 24.950208 kb_relative_information_score 33.100866 kb_relative_information_score 33.20208 kb_relative_information_score 17.970944 kb_relative_information_score 28.525842 kb_relative_information_score 26.164193 kb_relative_information_score 35.723931 kb_relative_information_score 20.520276 kb_relative_information_score 24.877108 kb_relative_information_score 22.254615 kb_relative_information_score 34.477339 kb_relative_information_score 19.192708 kb_relative_information_score 32.099793 kb_relative_information_score 19.209011 kb_relative_information_score 18.516568 kb_relative_information_score 33.446151 kb_relative_information_score 28.026274 kb_relative_information_score 36.709781 kb_relative_information_score 25.927857 kb_relative_information_score 15.281488 kb_relative_information_score 21.915985 kb_relative_information_score 24.767923 kb_relative_information_score 31.668715 kb_relative_information_score 35.484853 kb_relative_information_score 29.728267 kb_relative_information_score 21.850685 kb_relative_information_score 24.326891 kb_relative_information_score 25.024227 kb_relative_information_score 23.926547 kb_relative_information_score 35.889505 kb_relative_information_score 24.289177 kb_relative_information_score 28.065021 kb_relative_information_score 26.523486 kb_relative_information_score 31.869743 kb_relative_information_score 29.371012 kb_relative_information_score 27.367715 kb_relative_information_score 23.6473 kb_relative_information_score 20.5336 kb_relative_information_score 18.483992 kb_relative_information_score 27.138984 kb_relative_information_score 31.259521 kb_relative_information_score 26.766146 mean_absolute_error 0.299869 mean_absolute_error 0.308786 mean_absolute_error 0.344488 mean_absolute_error 0.319044 mean_absolute_error 0.271567 mean_absolute_error 0.298024 mean_absolute_error 0.283195 mean_absolute_error 0.285337 mean_absolute_error 0.361019 mean_absolute_error 0.315193 mean_absolute_error 0.322322 mean_absolute_error 0.293079 mean_absolute_error 0.281741 mean_absolute_error 0.316991 mean_absolute_error 0.31497 mean_absolute_error 0.292617 mean_absolute_error 0.307452 mean_absolute_error 0.283082 mean_absolute_error 0.293945 mean_absolute_error 0.328631 mean_absolute_error 0.3285 mean_absolute_error 0.317586 mean_absolute_error 0.311334 mean_absolute_error 0.302487 mean_absolute_error 0.328098 mean_absolute_error 0.308748 mean_absolute_error 0.35316 mean_absolute_error 0.325869 mean_absolute_error 0.304228 mean_absolute_error 0.290716 mean_absolute_error 0.32474 mean_absolute_error 0.309518 mean_absolute_error 0.305501 mean_absolute_error 0.309677 mean_absolute_error 0.297267 mean_absolute_error 0.312773 mean_absolute_error 0.300652 mean_absolute_error 0.288441 mean_absolute_error 0.296084 mean_absolute_error 0.301465 mean_absolute_error 0.329468 mean_absolute_error 0.321351 mean_absolute_error 0.307423 mean_absolute_error 0.319597 mean_absolute_error 0.30314 mean_absolute_error 0.307671 mean_absolute_error 0.29956 mean_absolute_error 0.305432 mean_absolute_error 0.315375 mean_absolute_error 0.295284 mean_absolute_error 0.294564 mean_absolute_error 0.336856 mean_absolute_error 0.29996 mean_absolute_error 0.299524 mean_absolute_error 0.300618 mean_absolute_error 0.30278 mean_absolute_error 0.283874 mean_absolute_error 0.317934 mean_absolute_error 0.303845 mean_absolute_error 0.27638 mean_absolute_error 0.274301 mean_absolute_error 0.329192 mean_absolute_error 0.297209 mean_absolute_error 0.303714 mean_absolute_error 0.270582 mean_absolute_error 0.32427 mean_absolute_error 0.304634 mean_absolute_error 0.315593 mean_absolute_error 0.276155 mean_absolute_error 0.329914 mean_absolute_error 0.28377 mean_absolute_error 0.326085 mean_absolute_error 0.33047 mean_absolute_error 0.281504 mean_absolute_error 0.299322 mean_absolute_error 0.269163 mean_absolute_error 0.311924 mean_absolute_error 0.340734 mean_absolute_error 0.321612 mean_absolute_error 0.306325 mean_absolute_error 0.284153 mean_absolute_error 0.274875 mean_absolute_error 0.293164 mean_absolute_error 0.315061 mean_absolute_error 0.304502 mean_absolute_error 0.3092 mean_absolute_error 0.311799 mean_absolute_error 0.274646 mean_absolute_error 0.310114 mean_absolute_error 0.297637 mean_absolute_error 0.306764 mean_absolute_error 0.286907 mean_absolute_error 0.298846 mean_absolute_error 0.297288 mean_absolute_error 0.311592 mean_absolute_error 0.324478 mean_absolute_error 0.324211 mean_absolute_error 0.298239 mean_absolute_error 0.286228 mean_absolute_error 0.299282 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 0.782667 [0.826667,0.68] precision 0.685055 [0.753086,0.526316] precision 0.697333 [0.773333,0.52] precision 0.74 [0.8,0.6] precision 0.826332 [0.863014,0.740741] precision 0.767897 [0.830986,0.62069] precision 0.792763 [0.828947,0.708333] precision 0.803557 [0.831169,0.73913] precision 0.6625 [0.75,0.458333] precision 0.75835 [0.790123,0.684211] precision 0.670732 [0.743902,0.5] precision 0.759289 [0.805195,0.652174] precision 0.829167 [0.809524,0.875] precision 0.724709 [0.782051,0.590909] precision 0.77619 [0.833333,0.642857] precision 0.76985 [0.770115,0.769231] precision 0.749342 [0.802632,0.625] precision 0.747917 [0.77381,0.6875] precision 0.76993 [0.807692,0.681818] precision 0.76 [0.828571,0.6] precision 0.705921 [0.776316,0.541667] precision 0.737154 [0.792208,0.608696] precision 0.684211 [0.763158,0.5] precision 0.746341 [0.780488,0.666667] precision 0.733918 [0.777778,0.631579] precision 0.724709 [0.782051,0.590909] precision 0.660624 [0.740741,0.473684] precision 0.688788 [0.759494,0.52381] precision 0.707059 [0.752941,0.6] precision 0.77 [0.8,0.7] precision 0.738263 [0.820896,0.545455] precision 0.759289 [0.805195,0.652174] precision 0.733918 [0.777778,0.631579] precision 0.711935 [0.772152,0.571429] precision 0.7225 [0.775,0.6] precision 0.752183 [0.810811,0.615385] precision 0.743531 [0.808219,0.592593] precision 0.758228 [0.797468,0.666667] precision 0.79375 [0.8125,0.75] precision 0.749342 [0.802632,0.625] precision 0.710187 [0.783784,0.538462] precision 0.69875 [0.7625,0.55] precision 0.705921 [0.776316,0.541667] precision 0.722831 [0.794521,0.555556] precision 0.747693 [0.816901,0.586207] precision 0.731185 [0.797297,0.576923] precision 0.733877 [0.771084,0.647059] precision 0.759289 [0.805195,0.652174] precision 0.747319 [0.794872,0.636364] precision 0.737154 [0.792208,0.608696] precision 0.7225 [0.775,0.6] precision 0.718725 [0.80597,0.515152] precision 0.747319 [0.794872,0.636364] precision 0.771545 [0.792683,0.722222] precision 0.743531 [0.808219,0.592593] precision 0.724709 [0.782051,0.590909] precision 0.821951 [0.817073,0.833333] precision 0.74625 [0.7875,0.65] precision 0.7225 [0.775,0.6] precision 0.747319 [0.794872,0.636364] precision 0.782667 [0.826667,0.68] precision 0.702098 [0.769231,0.545455] precision 0.733877 [0.771084,0.647059] precision 0.773181 [0.824324,0.653846] precision 0.786038 [0.795181,0.764706] precision 0.755754 [0.819444,0.607143] precision 0.724709 [0.782051,0.590909] precision 0.684211 [0.763158,0.5] precision 0.825333 [0.853333,0.76] precision 0.718667 [0.786667,0.56] precision 0.77 [0.8,0.7] precision 0.656876 [0.74359,0.454545] precision 0.7 [0.785714,0.5] precision 0.796627 [0.847222,0.678571] precision 0.792763 [0.828947,0.708333] precision 0.792541 [0.820513,0.727273] precision 0.796627 [0.847222,0.678571] precision 0.674008 [0.763889,0.464286] precision 0.731185 [0.797297,0.576923] precision 0.71502 [0.779221,0.565217] precision 0.77 [0.8,0.7] precision 0.812119 [0.807229,0.823529] precision 0.781374 [0.810127,0.714286] precision 0.71502 [0.779221,0.565217] precision 0.69875 [0.7625,0.55] precision 0.735081 [0.78481,0.619048] precision 0.737154 [0.792208,0.608696] precision 0.825333 [0.853333,0.76] precision 0.737154 [0.792208,0.608696] precision 0.764231 [0.821918,0.62963] precision 0.759289 [0.805195,0.652174] precision 0.76993 [0.807692,0.681818] precision 0.792099 [0.855072,0.645161] precision 0.733918 [0.777778,0.631579] precision 0.746341 [0.780488,0.666667] precision 0.685055 [0.753086,0.526316] precision 0.676 [0.76,0.48] precision 0.773181 [0.824324,0.653846] precision 0.749342 [0.802632,0.625] precision 0.747319 [0.794872,0.636364] predictive_accuracy 0.79 predictive_accuracy 0.71 predictive_accuracy 0.71 predictive_accuracy 0.75 predictive_accuracy 0.83 predictive_accuracy 0.77 predictive_accuracy 0.8 predictive_accuracy 0.81 predictive_accuracy 0.68 predictive_accuracy 0.77 predictive_accuracy 0.7 predictive_accuracy 0.77 predictive_accuracy 0.82 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.75 predictive_accuracy 0.7 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.69 predictive_accuracy 0.71 predictive_accuracy 0.73 predictive_accuracy 0.78 predictive_accuracy 0.73 predictive_accuracy 0.77 predictive_accuracy 0.75 predictive_accuracy 0.73 predictive_accuracy 0.74 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.72 predictive_accuracy 0.73 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.71 predictive_accuracy 0.76 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.82 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.76 predictive_accuracy 0.79 predictive_accuracy 0.72 predictive_accuracy 0.75 predictive_accuracy 0.78 predictive_accuracy 0.79 predictive_accuracy 0.76 predictive_accuracy 0.74 predictive_accuracy 0.7 predictive_accuracy 0.83 predictive_accuracy 0.73 predictive_accuracy 0.78 predictive_accuracy 0.68 predictive_accuracy 0.7 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.68 predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.78 predictive_accuracy 0.81 predictive_accuracy 0.79 predictive_accuracy 0.73 predictive_accuracy 0.72 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.83 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.78 predictive_accuracy 0.79 predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.71 predictive_accuracy 0.69 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.76 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 0.79 [0.885714,0.566667] recall 0.71 [0.871429,0.333333] recall 0.71 [0.828571,0.433333] recall 0.75 [0.857143,0.5] recall 0.83 [0.9,0.666667] recall 0.77 [0.842857,0.6] recall 0.8 [0.9,0.566667] recall 0.81 [0.914286,0.566667] recall 0.68 [0.814286,0.366667] recall 0.77 [0.914286,0.433333] recall 0.7 [0.871429,0.3] recall 0.77 [0.885714,0.5] recall 0.82 [0.971429,0.466667] recall 0.74 [0.871429,0.433333] recall 0.78 [0.857143,0.6] recall 0.77 [0.957143,0.333333] recall 0.76 [0.871429,0.5] recall 0.76 [0.928571,0.366667] recall 0.78 [0.9,0.5] recall 0.76 [0.828571,0.6] recall 0.72 [0.842857,0.433333] recall 0.75 [0.871429,0.466667] recall 0.7 [0.828571,0.4] recall 0.76 [0.914286,0.4] recall 0.75 [0.9,0.4] recall 0.74 [0.871429,0.433333] recall 0.69 [0.857143,0.3] recall 0.71 [0.857143,0.366667] recall 0.73 [0.914286,0.3] recall 0.78 [0.914286,0.466667] recall 0.73 [0.785714,0.6] recall 0.77 [0.885714,0.5] recall 0.75 [0.9,0.4] recall 0.73 [0.871429,0.4] recall 0.74 [0.885714,0.4] recall 0.76 [0.857143,0.533333] recall 0.75 [0.842857,0.533333] recall 0.77 [0.9,0.466667] recall 0.8 [0.928571,0.5] recall 0.76 [0.871429,0.5] recall 0.72 [0.828571,0.466667] recall 0.72 [0.871429,0.366667] recall 0.72 [0.842857,0.433333] recall 0.73 [0.828571,0.5] recall 0.75 [0.828571,0.566667] recall 0.74 [0.842857,0.5] recall 0.75 [0.914286,0.366667] recall 0.77 [0.885714,0.5] recall 0.76 [0.885714,0.466667] recall 0.75 [0.871429,0.466667] recall 0.74 [0.885714,0.4] recall 0.71 [0.771429,0.566667] recall 0.76 [0.885714,0.466667] recall 0.78 [0.928571,0.433333] recall 0.75 [0.842857,0.533333] recall 0.74 [0.871429,0.433333] recall 0.82 [0.957143,0.5] recall 0.76 [0.9,0.433333] recall 0.74 [0.885714,0.4] recall 0.76 [0.885714,0.466667] recall 0.79 [0.885714,0.566667] recall 0.72 [0.857143,0.4] recall 0.75 [0.914286,0.366667] recall 0.78 [0.871429,0.566667] recall 0.79 [0.942857,0.433333] recall 0.76 [0.842857,0.566667] recall 0.74 [0.871429,0.433333] recall 0.7 [0.828571,0.4] recall 0.83 [0.914286,0.633333] recall 0.73 [0.842857,0.466667] recall 0.78 [0.914286,0.466667] recall 0.68 [0.828571,0.333333] recall 0.7 [0.785714,0.5] recall 0.8 [0.871429,0.633333] recall 0.8 [0.9,0.566667] recall 0.8 [0.914286,0.533333] recall 0.8 [0.871429,0.633333] recall 0.68 [0.785714,0.433333] recall 0.74 [0.842857,0.5] recall 0.73 [0.857143,0.433333] recall 0.78 [0.914286,0.466667] recall 0.81 [0.957143,0.466667] recall 0.79 [0.914286,0.5] recall 0.73 [0.857143,0.433333] recall 0.72 [0.871429,0.366667] recall 0.75 [0.885714,0.433333] recall 0.75 [0.871429,0.466667] recall 0.83 [0.914286,0.633333] recall 0.75 [0.871429,0.466667] recall 0.77 [0.857143,0.566667] recall 0.77 [0.885714,0.5] recall 0.78 [0.9,0.5] recall 0.79 [0.842857,0.666667] recall 0.75 [0.9,0.4] recall 0.76 [0.914286,0.4] recall 0.71 [0.871429,0.333333] recall 0.69 [0.814286,0.4] recall 0.78 [0.871429,0.566667] recall 0.76 [0.871429,0.5] recall 0.76 [0.885714,0.466667] relative_absolute_error 0.713701 relative_absolute_error 0.734926 relative_absolute_error 0.819898 relative_absolute_error 0.75934 relative_absolute_error 0.646343 relative_absolute_error 0.709311 relative_absolute_error 0.674018 relative_absolute_error 0.679117 relative_absolute_error 0.859243 relative_absolute_error 0.750175 relative_absolute_error 0.767142 relative_absolute_error 0.697542 relative_absolute_error 0.670558 relative_absolute_error 0.754452 relative_absolute_error 0.749644 relative_absolute_error 0.696441 relative_absolute_error 0.731751 relative_absolute_error 0.673748 relative_absolute_error 0.699603 relative_absolute_error 0.782158 relative_absolute_error 0.781846 relative_absolute_error 0.75587 relative_absolute_error 0.74099 relative_absolute_error 0.719933 relative_absolute_error 0.78089 relative_absolute_error 0.734834 relative_absolute_error 0.840537 relative_absolute_error 0.775583 relative_absolute_error 0.724077 relative_absolute_error 0.691918 relative_absolute_error 0.772898 relative_absolute_error 0.736666 relative_absolute_error 0.727107 relative_absolute_error 0.737047 relative_absolute_error 0.70751 relative_absolute_error 0.744416 relative_absolute_error 0.715565 relative_absolute_error 0.686504 relative_absolute_error 0.704695 relative_absolute_error 0.717501 relative_absolute_error 0.784149 relative_absolute_error 0.764831 relative_absolute_error 0.731681 relative_absolute_error 0.760655 relative_absolute_error 0.721487 relative_absolute_error 0.732271 relative_absolute_error 0.712967 relative_absolute_error 0.726942 relative_absolute_error 0.750607 relative_absolute_error 0.702789 relative_absolute_error 0.701076 relative_absolute_error 0.801734 relative_absolute_error 0.713919 relative_absolute_error 0.712882 relative_absolute_error 0.715484 relative_absolute_error 0.72063 relative_absolute_error 0.675634 relative_absolute_error 0.756698 relative_absolute_error 0.723166 relative_absolute_error 0.657798 relative_absolute_error 0.65285 relative_absolute_error 0.783494 relative_absolute_error 0.707373 relative_absolute_error 0.722853 relative_absolute_error 0.643998 relative_absolute_error 0.771777 relative_absolute_error 0.725044 relative_absolute_error 0.751125 relative_absolute_error 0.657261 relative_absolute_error 0.785211 relative_absolute_error 0.675387 relative_absolute_error 0.776099 relative_absolute_error 0.786534 relative_absolute_error 0.669992 relative_absolute_error 0.712401 relative_absolute_error 0.640622 relative_absolute_error 0.742394 relative_absolute_error 0.810963 relative_absolute_error 0.765453 relative_absolute_error 0.729068 relative_absolute_error 0.676298 relative_absolute_error 0.654216 relative_absolute_error 0.697744 relative_absolute_error 0.74986 relative_absolute_error 0.72473 relative_absolute_error 0.73591 relative_absolute_error 0.742098 relative_absolute_error 0.653671 relative_absolute_error 0.738086 relative_absolute_error 0.70839 relative_absolute_error 0.730112 relative_absolute_error 0.682852 relative_absolute_error 0.711267 relative_absolute_error 0.707559 relative_absolute_error 0.741604 relative_absolute_error 0.772272 relative_absolute_error 0.771638 relative_absolute_error 0.709823 relative_absolute_error 0.681237 relative_absolute_error 0.712304 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 0.400116 root_mean_squared_error 0.427875 root_mean_squared_error 0.452618 root_mean_squared_error 0.408962 root_mean_squared_error 0.372966 root_mean_squared_error 0.405329 root_mean_squared_error 0.392672 root_mean_squared_error 0.368544 root_mean_squared_error 0.473212 root_mean_squared_error 0.431341 root_mean_squared_error 0.440056 root_mean_squared_error 0.40188 root_mean_squared_error 0.403445 root_mean_squared_error 0.425097 root_mean_squared_error 0.41169 root_mean_squared_error 0.408236 root_mean_squared_error 0.400723 root_mean_squared_error 0.392498 root_mean_squared_error 0.394424 root_mean_squared_error 0.428878 root_mean_squared_error 0.444029 root_mean_squared_error 0.435211 root_mean_squared_error 0.420835 root_mean_squared_error 0.411643 root_mean_squared_error 0.452006 root_mean_squared_error 0.408969 root_mean_squared_error 0.455564 root_mean_squared_error 0.445716 root_mean_squared_error 0.416282 root_mean_squared_error 0.403743 root_mean_squared_error 0.4158 root_mean_squared_error 0.417264 root_mean_squared_error 0.421769 root_mean_squared_error 0.409352 root_mean_squared_error 0.419406 root_mean_squared_error 0.424042 root_mean_squared_error 0.41361 root_mean_squared_error 0.398061 root_mean_squared_error 0.397279 root_mean_squared_error 0.404187 root_mean_squared_error 0.431312 root_mean_squared_error 0.422775 root_mean_squared_error 0.415207 root_mean_squared_error 0.436079 root_mean_squared_error 0.420119 root_mean_squared_error 0.41834 root_mean_squared_error 0.412863 root_mean_squared_error 0.397975 root_mean_squared_error 0.420934 root_mean_squared_error 0.391497 root_mean_squared_error 0.412377 root_mean_squared_error 0.427001 root_mean_squared_error 0.391054 root_mean_squared_error 0.405281 root_mean_squared_error 0.406338 root_mean_squared_error 0.404609 root_mean_squared_error 0.392107 root_mean_squared_error 0.444936 root_mean_squared_error 0.420797 root_mean_squared_error 0.397369 root_mean_squared_error 0.386324 root_mean_squared_error 0.439302 root_mean_squared_error 0.404531 root_mean_squared_error 0.392752 root_mean_squared_error 0.375105 root_mean_squared_error 0.431507 root_mean_squared_error 0.411635 root_mean_squared_error 0.432796 root_mean_squared_error 0.392226 root_mean_squared_error 0.415299 root_mean_squared_error 0.380443 root_mean_squared_error 0.441359 root_mean_squared_error 0.44026 root_mean_squared_error 0.38818 root_mean_squared_error 0.393348 root_mean_squared_error 0.373114 root_mean_squared_error 0.398602 root_mean_squared_error 0.44625 root_mean_squared_error 0.418183 root_mean_squared_error 0.412906 root_mean_squared_error 0.39071 root_mean_squared_error 0.38252 root_mean_squared_error 0.395217 root_mean_squared_error 0.439721 root_mean_squared_error 0.420742 root_mean_squared_error 0.407394 root_mean_squared_error 0.429774 root_mean_squared_error 0.360496 root_mean_squared_error 0.416532 root_mean_squared_error 0.406516 root_mean_squared_error 0.406039 root_mean_squared_error 0.391086 root_mean_squared_error 0.396139 root_mean_squared_error 0.418064 root_mean_squared_error 0.396057 root_mean_squared_error 0.440922 root_mean_squared_error 0.441243 root_mean_squared_error 0.400091 root_mean_squared_error 0.387791 root_mean_squared_error 0.412413 root_relative_squared_error 0.873125 root_relative_squared_error 0.9337 root_relative_squared_error 0.987694 root_relative_squared_error 0.892429 root_relative_squared_error 0.813879 root_relative_squared_error 0.8845 root_relative_squared_error 0.856881 root_relative_squared_error 0.80423 root_relative_squared_error 1.032633 root_relative_squared_error 0.941262 root_relative_squared_error 0.96028 root_relative_squared_error 0.876974 root_relative_squared_error 0.880389 root_relative_squared_error 0.927636 root_relative_squared_error 0.898381 root_relative_squared_error 0.890843 root_relative_squared_error 0.874448 root_relative_squared_error 0.856499 root_relative_squared_error 0.860703 root_relative_squared_error 0.935888 root_relative_squared_error 0.96895 root_relative_squared_error 0.949707 root_relative_squared_error 0.918336 root_relative_squared_error 0.898279 root_relative_squared_error 0.986358 root_relative_squared_error 0.892444 root_relative_squared_error 0.994122 root_relative_squared_error 0.972633 root_relative_squared_error 0.908401 root_relative_squared_error 0.881039 root_relative_squared_error 0.90735 root_relative_squared_error 0.910544 root_relative_squared_error 0.920375 root_relative_squared_error 0.893279 root_relative_squared_error 0.915219 root_relative_squared_error 0.925336 root_relative_squared_error 0.902571 root_relative_squared_error 0.86864 root_relative_squared_error 0.866934 root_relative_squared_error 0.882009 root_relative_squared_error 0.941199 root_relative_squared_error 0.92257 root_relative_squared_error 0.906055 root_relative_squared_error 0.951602 root_relative_squared_error 0.916773 root_relative_squared_error 0.912891 root_relative_squared_error 0.90094 root_relative_squared_error 0.868451 root_relative_squared_error 0.918553 root_relative_squared_error 0.854316 root_relative_squared_error 0.899879 root_relative_squared_error 0.931793 root_relative_squared_error 0.853349 root_relative_squared_error 0.884395 root_relative_squared_error 0.886703 root_relative_squared_error 0.88293 root_relative_squared_error 0.855647 root_relative_squared_error 0.970929 root_relative_squared_error 0.918254 root_relative_squared_error 0.86713 root_relative_squared_error 0.843027 root_relative_squared_error 0.958635 root_relative_squared_error 0.88276 root_relative_squared_error 0.857054 root_relative_squared_error 0.818547 root_relative_squared_error 0.941626 root_relative_squared_error 0.898261 root_relative_squared_error 0.944439 root_relative_squared_error 0.855908 root_relative_squared_error 0.906256 root_relative_squared_error 0.830194 root_relative_squared_error 0.963124 root_relative_squared_error 0.960725 root_relative_squared_error 0.847077 root_relative_squared_error 0.858355 root_relative_squared_error 0.814202 root_relative_squared_error 0.86982 root_relative_squared_error 0.973798 root_relative_squared_error 0.91255 root_relative_squared_error 0.901035 root_relative_squared_error 0.852599 root_relative_squared_error 0.834727 root_relative_squared_error 0.862433 root_relative_squared_error 0.959549 root_relative_squared_error 0.918133 root_relative_squared_error 0.889006 root_relative_squared_error 0.937844 root_relative_squared_error 0.786667 root_relative_squared_error 0.908946 root_relative_squared_error 0.887091 root_relative_squared_error 0.88605 root_relative_squared_error 0.85342 root_relative_squared_error 0.864447 root_relative_squared_error 0.91229 root_relative_squared_error 0.864266 root_relative_squared_error 0.962171 root_relative_squared_error 0.962872 root_relative_squared_error 0.873069 root_relative_squared_error 0.846229 root_relative_squared_error 0.899959 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 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 10 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 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 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 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 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 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 10 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 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 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 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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