432883 2 Joaquin Vanschoren 1911 Supervised Classification predictive_accuracy 1196 weka.RotationForest_PrincipalComponents_J48(14) 2064 weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 40 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2 C 0.25 1068 M 2 1068 R 1.0 1164 A 5 1164 M -1 1164 G 3 1196 H 3 1196 P 50 1196 F weka.filters.unsupervised.attribute.PrincipalComponents 1196 S 1 1196 num-slots 1 1196 I 40 1196 W weka.classifiers.trees.J48 1196 weka weka_3.7.12 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 1512690 description https://api.openml.org/data/download/1512690/weka_generated_run655849991982548972.xml -1 1512693 model_readable https://api.openml.org/data/download/1512693/WekaModel_weka.classifiers.meta.RotationForest4512804703967606982.model -1 1512692 model_serialized https://api.openml.org/data/download/1512692/WekaSerialized_weka.classifiers.meta.RotationForest1066426406259332412.model -1 1512691 predictions https://api.openml.org/data/download/1512691/weka_generated_predictions4535067559027563423.arff area_under_roc_curve 0.786414 [0.786414,0.786414] average_cost 0 f_measure 0.743725 [0.8382,0.523283] kappa 0.368729 kb_relative_information_score 2162.049308 mean_absolute_error 0.324668 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 0.744629 [0.788956,0.641199] predictive_accuracy 0.7584 prior_entropy 0.881778 recall 0.7584 [0.894,0.442] relative_absolute_error 0.772725 root_mean_prior_squared_error 0.458258 root_mean_squared_error 0.404266 root_relative_squared_error 0.88218 scimark_benchmark 922.61303 [557.8000386497777, 1009.6698621593916, 451.72140588223806, 837.2532624935978, 1756.6205822745662] total_cost 0 usercpu_time_millis 6160 usercpu_time_millis_testing 1570 usercpu_time_millis_training 4590 area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.810476 [0.810476,0.810476] area_under_roc_curve 0.731429 [0.731429,0.731429] area_under_roc_curve 0.773333 [0.773333,0.773333] area_under_roc_curve 0.854762 [0.854762,0.854762] area_under_roc_curve 0.81 [0.81,0.81] area_under_roc_curve 0.816667 [0.816667,0.816667] area_under_roc_curve 0.863333 [0.863333,0.863333] area_under_roc_curve 0.682381 [0.682381,0.682381] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.758095 [0.758095,0.758095] area_under_roc_curve 0.839524 [0.839524,0.839524] area_under_roc_curve 0.780952 [0.780952,0.780952] area_under_roc_curve 0.739048 [0.739048,0.739048] area_under_roc_curve 0.851905 [0.851905,0.851905] area_under_roc_curve 0.795714 [0.795714,0.795714] area_under_roc_curve 0.780476 [0.780476,0.780476] area_under_roc_curve 0.838571 [0.838571,0.838571] area_under_roc_curve 0.835238 [0.835238,0.835238] area_under_roc_curve 0.738571 [0.738571,0.738571] area_under_roc_curve 0.764762 [0.764762,0.764762] area_under_roc_curve 0.782857 [0.782857,0.782857] area_under_roc_curve 0.775714 [0.775714,0.775714] area_under_roc_curve 0.802381 [0.802381,0.802381] area_under_roc_curve 0.715238 [0.715238,0.715238] area_under_roc_curve 0.758095 [0.758095,0.758095] area_under_roc_curve 0.767143 [0.767143,0.767143] area_under_roc_curve 0.780476 [0.780476,0.780476] area_under_roc_curve 0.78381 [0.78381,0.78381] area_under_roc_curve 0.822857 [0.822857,0.822857] area_under_roc_curve 0.789048 [0.789048,0.789048] area_under_roc_curve 0.770952 [0.770952,0.770952] area_under_roc_curve 0.820476 [0.820476,0.820476] area_under_roc_curve 0.822857 [0.822857,0.822857] area_under_roc_curve 0.822857 [0.822857,0.822857] area_under_roc_curve 0.798571 [0.798571,0.798571] area_under_roc_curve 0.805238 [0.805238,0.805238] area_under_roc_curve 0.856667 [0.856667,0.856667] area_under_roc_curve 0.78619 [0.78619,0.78619] area_under_roc_curve 0.779524 [0.779524,0.779524] area_under_roc_curve 0.79381 [0.79381,0.79381] area_under_roc_curve 0.798571 [0.798571,0.798571] area_under_roc_curve 0.737143 [0.737143,0.737143] area_under_roc_curve 0.757143 [0.757143,0.757143] area_under_roc_curve 0.819048 [0.819048,0.819048] area_under_roc_curve 0.77619 [0.77619,0.77619] area_under_roc_curve 0.818571 [0.818571,0.818571] area_under_roc_curve 0.814762 [0.814762,0.814762] area_under_roc_curve 0.705714 [0.705714,0.705714] area_under_roc_curve 0.783333 [0.783333,0.783333] area_under_roc_curve 0.823333 [0.823333,0.823333] area_under_roc_curve 0.766667 [0.766667,0.766667] area_under_roc_curve 0.780952 [0.780952,0.780952] area_under_roc_curve 0.790476 [0.790476,0.790476] area_under_roc_curve 0.774286 [0.774286,0.774286] area_under_roc_curve 0.788095 [0.788095,0.788095] area_under_roc_curve 0.808095 [0.808095,0.808095] area_under_roc_curve 0.74 [0.74,0.74] area_under_roc_curve 0.784286 [0.784286,0.784286] area_under_roc_curve 0.798571 [0.798571,0.798571] area_under_roc_curve 0.758571 [0.758571,0.758571] area_under_roc_curve 0.73 [0.73,0.73] area_under_roc_curve 0.761429 [0.761429,0.761429] area_under_roc_curve 0.816667 [0.816667,0.816667] area_under_roc_curve 0.85 [0.85,0.85] area_under_roc_curve 0.728571 [0.728571,0.728571] area_under_roc_curve 0.845714 [0.845714,0.845714] area_under_roc_curve 0.728571 [0.728571,0.728571] area_under_roc_curve 0.871429 [0.871429,0.871429] area_under_roc_curve 0.760476 [0.760476,0.760476] area_under_roc_curve 0.786667 [0.786667,0.786667] area_under_roc_curve 0.771905 [0.771905,0.771905] area_under_roc_curve 0.791429 [0.791429,0.791429] area_under_roc_curve 0.875714 [0.875714,0.875714] area_under_roc_curve 0.758095 [0.758095,0.758095] area_under_roc_curve 0.84381 [0.84381,0.84381] area_under_roc_curve 0.836667 [0.836667,0.836667] area_under_roc_curve 0.71619 [0.71619,0.71619] area_under_roc_curve 0.802381 [0.802381,0.802381] area_under_roc_curve 0.832381 [0.832381,0.832381] area_under_roc_curve 0.779048 [0.779048,0.779048] area_under_roc_curve 0.80381 [0.80381,0.80381] area_under_roc_curve 0.839524 [0.839524,0.839524] area_under_roc_curve 0.771429 [0.771429,0.771429] area_under_roc_curve 0.722857 [0.722857,0.722857] area_under_roc_curve 0.791429 [0.791429,0.791429] area_under_roc_curve 0.761905 [0.761905,0.761905] area_under_roc_curve 0.839048 [0.839048,0.839048] area_under_roc_curve 0.808571 [0.808571,0.808571] area_under_roc_curve 0.768571 [0.768571,0.768571] area_under_roc_curve 0.758571 [0.758571,0.758571] area_under_roc_curve 0.780476 [0.780476,0.780476] area_under_roc_curve 0.828571 [0.828571,0.828571] area_under_roc_curve 0.817143 [0.817143,0.817143] area_under_roc_curve 0.778095 [0.778095,0.778095] area_under_roc_curve 0.729524 [0.729524,0.729524] area_under_roc_curve 0.698095 [0.698095,0.698095] area_under_roc_curve 0.795714 [0.795714,0.795714] area_under_roc_curve 0.757143 [0.757143,0.757143] area_under_roc_curve 0.802857 [0.802857,0.802857] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.763511 [0.841379,0.581818] f_measure 0.777813 [0.85906,0.588235] f_measure 0.739474 [0.842105,0.5] f_measure 0.742947 [0.827586,0.545455] f_measure 0.786676 [0.853147,0.631579] f_measure 0.751598 [0.835616,0.555556] f_measure 0.769879 [0.862745,0.553191] f_measure 0.768535 [0.873418,0.52381] f_measure 0.644979 [0.781457,0.326531] f_measure 0.726046 [0.836601,0.468085] f_measure 0.712253 [0.831169,0.434783] f_measure 0.747963 [0.849673,0.510638] f_measure 0.744 [0.84,0.52] f_measure 0.682214 [0.810458,0.382979] f_measure 0.792998 [0.863014,0.62963] f_measure 0.734387 [0.844156,0.478261] f_measure 0.751598 [0.835616,0.555556] f_measure 0.778656 [0.87013,0.565217] f_measure 0.781132 [0.857143,0.603774] f_measure 0.718598 [0.816327,0.490566] f_measure 0.744 [0.84,0.52] f_measure 0.748025 [0.837838,0.538462] f_measure 0.742947 [0.827586,0.545455] f_measure 0.777813 [0.85906,0.588235] f_measure 0.70413 [0.823529,0.425532] f_measure 0.701818 [0.8,0.472727] f_measure 0.76636 [0.839161,0.596491] f_measure 0.672009 [0.791946,0.392157] f_measure 0.756522 [0.857143,0.521739] f_measure 0.792998 [0.863014,0.62963] f_measure 0.777756 [0.84507,0.62069] f_measure 0.735492 [0.832215,0.509804] f_measure 0.731045 [0.834437,0.489796] f_measure 0.763511 [0.841379,0.581818] f_measure 0.782895 [0.868421,0.583333] f_measure 0.714331 [0.818792,0.470588] f_measure 0.746043 [0.825175,0.561404] f_measure 0.790021 [0.864865,0.615385] f_measure 0.761184 [0.855263,0.541667] f_measure 0.752561 [0.847682,0.530612] f_measure 0.752561 [0.847682,0.530612] f_measure 0.777813 [0.85906,0.588235] f_measure 0.752561 [0.847682,0.530612] f_measure 0.777813 [0.85906,0.588235] f_measure 0.777756 [0.84507,0.62069] f_measure 0.744 [0.84,0.52] f_measure 0.730449 [0.855346,0.439024] f_measure 0.752561 [0.847682,0.530612] f_measure 0.752561 [0.847682,0.530612] f_measure 0.752561 [0.847682,0.530612] f_measure 0.747963 [0.849673,0.510638] f_measure 0.760288 [0.843537,0.566038] f_measure 0.722667 [0.826667,0.48] f_measure 0.698065 [0.825806,0.4] f_measure 0.714331 [0.818792,0.470588] f_measure 0.722667 [0.826667,0.48] f_measure 0.778656 [0.87013,0.565217] f_measure 0.722667 [0.826667,0.48] f_measure 0.70541 [0.797203,0.491228] f_measure 0.731045 [0.834437,0.489796] f_measure 0.728669 [0.808511,0.542373] f_measure 0.697754 [0.802721,0.45283] f_measure 0.696053 [0.815789,0.416667] f_measure 0.735492 [0.832215,0.509804] f_measure 0.769879 [0.862745,0.553191] f_measure 0.728669 [0.808511,0.542373] f_measure 0.795594 [0.874172,0.612245] f_measure 0.714331 [0.818792,0.470588] f_measure 0.786676 [0.853147,0.631579] f_measure 0.72043 [0.83871,0.444444] f_measure 0.717763 [0.828947,0.458333] f_measure 0.735492 [0.832215,0.509804] f_measure 0.727027 [0.824324,0.5] f_measure 0.813699 [0.876712,0.666667] f_measure 0.689498 [0.794521,0.444444] f_measure 0.784075 [0.855172,0.618182] f_measure 0.79796 [0.859155,0.655172] f_measure 0.68 [0.8,0.4] f_measure 0.701818 [0.8,0.472727] f_measure 0.790021 [0.864865,0.615385] f_measure 0.699096 [0.835443,0.380952] f_measure 0.774078 [0.860927,0.571429] f_measure 0.761184 [0.855263,0.541667] f_measure 0.674342 [0.802632,0.375] f_measure 0.735492 [0.832215,0.509804] f_measure 0.752561 [0.847682,0.530612] f_measure 0.722667 [0.826667,0.48] f_measure 0.775198 [0.847222,0.607143] f_measure 0.751282 [0.858974,0.5] f_measure 0.768866 [0.836879,0.610169] f_measure 0.752561 [0.847682,0.530612] f_measure 0.69125 [0.8375,0.35] f_measure 0.801977 [0.870748,0.641509] f_measure 0.734387 [0.844156,0.478261] f_measure 0.752561 [0.847682,0.530612] f_measure 0.685031 [0.797297,0.423077] f_measure 0.664033 [0.783784,0.384615] f_measure 0.798974 [0.872483,0.627451] f_measure 0.701333 [0.813333,0.44] f_measure 0.714331 [0.818792,0.470588] kappa 0.425 kappa 0.453125 kappa 0.354839 kappa 0.375 kappa 0.485294 kappa 0.393939 kappa 0.429348 kappa 0.425287 kappa 0.12234 kappa 0.320652 kappa 0.285714 kappa 0.375 kappa 0.368421 kappa 0.211957 kappa 0.494949 kappa 0.340659 kappa 0.393939 kappa 0.450549 kappa 0.464286 kappa 0.311224 kappa 0.368421 kappa 0.381443 kappa 0.375 kappa 0.453125 kappa 0.266304 kappa 0.275 kappa 0.436275 kappa 0.192708 kappa 0.395604 kappa 0.494949 kappa 0.466019 kappa 0.348958 kappa 0.335106 kappa 0.425 kappa 0.462366 kappa 0.296875 kappa 0.387255 kappa 0.484536 kappa 0.408602 kappa 0.388298 kappa 0.388298 kappa 0.453125 kappa 0.388298 kappa 0.453125 kappa 0.466019 kappa 0.368421 kappa 0.331395 kappa 0.388298 kappa 0.388298 kappa 0.388298 kappa 0.375 kappa 0.413265 kappa 0.315789 kappa 0.25 kappa 0.296875 kappa 0.315789 kappa 0.450549 kappa 0.315789 kappa 0.289216 kappa 0.335106 kappa 0.350962 kappa 0.260204 kappa 0.247312 kappa 0.348958 kappa 0.429348 kappa 0.350962 kappa 0.494681 kappa 0.296875 kappa 0.485294 kappa 0.305556 kappa 0.301075 kappa 0.348958 kappa 0.329897 kappa 0.545455 kappa 0.242424 kappa 0.475 kappa 0.514563 kappa 0.210526 kappa 0.275 kappa 0.484536 kappa 0.252874 kappa 0.441489 kappa 0.408602 kappa 0.193548 kappa 0.348958 kappa 0.388298 kappa 0.315789 kappa 0.455446 kappa 0.382022 kappa 0.447115 kappa 0.388298 kappa 0.235294 kappa 0.515306 kappa 0.340659 kappa 0.388298 kappa 0.226804 kappa 0.175258 kappa 0.505208 kappa 0.263158 kappa 0.296875 kb_relative_information_score 24.219138 kb_relative_information_score 23.710021 kb_relative_information_score 18.22826 kb_relative_information_score 17.479818 kb_relative_information_score 28.222028 kb_relative_information_score 22.271665 kb_relative_information_score 27.044147 kb_relative_information_score 24.864627 kb_relative_information_score 10.241053 kb_relative_information_score 19.047502 kb_relative_information_score 19.93046 kb_relative_information_score 28.302056 kb_relative_information_score 25.070188 kb_relative_information_score 16.23487 kb_relative_information_score 23.549447 kb_relative_information_score 23.812284 kb_relative_information_score 20.059784 kb_relative_information_score 28.652606 kb_relative_information_score 25.855146 kb_relative_information_score 15.067441 kb_relative_information_score 20.977604 kb_relative_information_score 20.718508 kb_relative_information_score 19.97545 kb_relative_information_score 24.05019 kb_relative_information_score 16.56492 kb_relative_information_score 16.716986 kb_relative_information_score 15.549633 kb_relative_information_score 18.050856 kb_relative_information_score 23.699124 kb_relative_information_score 27.263491 kb_relative_information_score 20.679346 kb_relative_information_score 18.365196 kb_relative_information_score 25.454695 kb_relative_information_score 24.096938 kb_relative_information_score 26.70524 kb_relative_information_score 21.845501 kb_relative_information_score 21.938612 kb_relative_information_score 27.936757 kb_relative_information_score 22.895552 kb_relative_information_score 20.201963 kb_relative_information_score 18.669882 kb_relative_information_score 20.602539 kb_relative_information_score 17.191259 kb_relative_information_score 19.07226 kb_relative_information_score 25.740029 kb_relative_information_score 19.957763 kb_relative_information_score 25.845773 kb_relative_information_score 21.465883 kb_relative_information_score 19.816088 kb_relative_information_score 19.609651 kb_relative_information_score 28.52498 kb_relative_information_score 18.76849 kb_relative_information_score 20.473164 kb_relative_information_score 21.755795 kb_relative_information_score 19.75721 kb_relative_information_score 22.453627 kb_relative_information_score 29.746299 kb_relative_information_score 18.912029 kb_relative_information_score 19.064139 kb_relative_information_score 24.053571 kb_relative_information_score 16.299888 kb_relative_information_score 15.121422 kb_relative_information_score 17.594374 kb_relative_information_score 20.495471 kb_relative_information_score 29.220429 kb_relative_information_score 12.844107 kb_relative_information_score 28.063063 kb_relative_information_score 19.523534 kb_relative_information_score 31.873299 kb_relative_information_score 14.876781 kb_relative_information_score 20.271111 kb_relative_information_score 16.66525 kb_relative_information_score 20.812209 kb_relative_information_score 33.001929 kb_relative_information_score 16.024467 kb_relative_information_score 30.933886 kb_relative_information_score 20.408931 kb_relative_information_score 11.979383 kb_relative_information_score 20.012697 kb_relative_information_score 27.699215 kb_relative_information_score 21.534494 kb_relative_information_score 26.325787 kb_relative_information_score 26.426376 kb_relative_information_score 19.845227 kb_relative_information_score 19.115896 kb_relative_information_score 19.185719 kb_relative_information_score 18.5454 kb_relative_information_score 25.259915 kb_relative_information_score 22.806172 kb_relative_information_score 20.326373 kb_relative_information_score 19.168358 kb_relative_information_score 22.754131 kb_relative_information_score 25.401795 kb_relative_information_score 24.069319 kb_relative_information_score 19.135707 kb_relative_information_score 15.652382 kb_relative_information_score 12.97889 kb_relative_information_score 28.03671 kb_relative_information_score 20.167389 kb_relative_information_score 24.56229 mean_absolute_error 0.314547 mean_absolute_error 0.313246 mean_absolute_error 0.335186 mean_absolute_error 0.339638 mean_absolute_error 0.301074 mean_absolute_error 0.323532 mean_absolute_error 0.307341 mean_absolute_error 0.31828 mean_absolute_error 0.363437 mean_absolute_error 0.339571 mean_absolute_error 0.328034 mean_absolute_error 0.301877 mean_absolute_error 0.312071 mean_absolute_error 0.342514 mean_absolute_error 0.321439 mean_absolute_error 0.316779 mean_absolute_error 0.328894 mean_absolute_error 0.3038 mean_absolute_error 0.310086 mean_absolute_error 0.342849 mean_absolute_error 0.326075 mean_absolute_error 0.330998 mean_absolute_error 0.325401 mean_absolute_error 0.316577 mean_absolute_error 0.339829 mean_absolute_error 0.340105 mean_absolute_error 0.344949 mean_absolute_error 0.331544 mean_absolute_error 0.317465 mean_absolute_error 0.30813 mean_absolute_error 0.327173 mean_absolute_error 0.338816 mean_absolute_error 0.313395 mean_absolute_error 0.315329 mean_absolute_error 0.304806 mean_absolute_error 0.323678 mean_absolute_error 0.325064 mean_absolute_error 0.304566 mean_absolute_error 0.319735 mean_absolute_error 0.327294 mean_absolute_error 0.337876 mean_absolute_error 0.334071 mean_absolute_error 0.339888 mean_absolute_error 0.330896 mean_absolute_error 0.313311 mean_absolute_error 0.334364 mean_absolute_error 0.310421 mean_absolute_error 0.327362 mean_absolute_error 0.335179 mean_absolute_error 0.333257 mean_absolute_error 0.296355 mean_absolute_error 0.335647 mean_absolute_error 0.329762 mean_absolute_error 0.324437 mean_absolute_error 0.329743 mean_absolute_error 0.323221 mean_absolute_error 0.294751 mean_absolute_error 0.330711 mean_absolute_error 0.329877 mean_absolute_error 0.312559 mean_absolute_error 0.33585 mean_absolute_error 0.344091 mean_absolute_error 0.335108 mean_absolute_error 0.328915 mean_absolute_error 0.303793 mean_absolute_error 0.350766 mean_absolute_error 0.304826 mean_absolute_error 0.333804 mean_absolute_error 0.288983 mean_absolute_error 0.352391 mean_absolute_error 0.331396 mean_absolute_error 0.3357 mean_absolute_error 0.328271 mean_absolute_error 0.28723 mean_absolute_error 0.344429 mean_absolute_error 0.292996 mean_absolute_error 0.333269 mean_absolute_error 0.358879 mean_absolute_error 0.32817 mean_absolute_error 0.301769 mean_absolute_error 0.327971 mean_absolute_error 0.310084 mean_absolute_error 0.312818 mean_absolute_error 0.32558 mean_absolute_error 0.328959 mean_absolute_error 0.334005 mean_absolute_error 0.333337 mean_absolute_error 0.310369 mean_absolute_error 0.32074 mean_absolute_error 0.330837 mean_absolute_error 0.333488 mean_absolute_error 0.317795 mean_absolute_error 0.318488 mean_absolute_error 0.315055 mean_absolute_error 0.336904 mean_absolute_error 0.344458 mean_absolute_error 0.354271 mean_absolute_error 0.301957 mean_absolute_error 0.329504 mean_absolute_error 0.310716 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 0.761333 [0.813333,0.64] precision 0.781374 [0.810127,0.714286] precision 0.746341 [0.780488,0.666667] precision 0.74 [0.8,0.6] precision 0.784932 [0.835616,0.666667] precision 0.749342 [0.802632,0.625] precision 0.786038 [0.795181,0.764706] precision 0.823864 [0.784091,0.916667] precision 0.636192 [0.728395,0.421053] precision 0.733877 [0.771084,0.647059] precision 0.720833 [0.761905,0.625] precision 0.759957 [0.783133,0.705882] precision 0.74625 [0.7875,0.65] precision 0.681715 [0.746988,0.529412] precision 0.792763 [0.828947,0.708333] precision 0.747917 [0.77381,0.6875] precision 0.749342 [0.802632,0.625] precision 0.802083 [0.797619,0.8125] precision 0.781423 [0.818182,0.695652] precision 0.71502 [0.779221,0.565217] precision 0.74625 [0.7875,0.65] precision 0.747319 [0.794872,0.636364] precision 0.74 [0.8,0.6] precision 0.781374 [0.810127,0.714286] precision 0.707796 [0.759036,0.588235] precision 0.697333 [0.773333,0.52] precision 0.764231 [0.821918,0.62963] precision 0.665642 [0.746835,0.47619] precision 0.775 [0.785714,0.75] precision 0.792763 [0.828947,0.708333] precision 0.77619 [0.833333,0.642857] precision 0.735081 [0.78481,0.619048] precision 0.733918 [0.777778,0.631579] precision 0.761333 [0.813333,0.64] precision 0.796748 [0.804878,0.777778] precision 0.711935 [0.772152,0.571429] precision 0.743531 [0.808219,0.592593] precision 0.792541 [0.820513,0.727273] precision 0.771545 [0.792683,0.722222] precision 0.75835 [0.790123,0.684211] precision 0.75835 [0.790123,0.684211] precision 0.781374 [0.810127,0.714286] precision 0.75835 [0.790123,0.684211] precision 0.781374 [0.810127,0.714286] precision 0.77619 [0.833333,0.642857] precision 0.74625 [0.7875,0.65] precision 0.780286 [0.764045,0.818182] precision 0.75835 [0.790123,0.684211] precision 0.75835 [0.790123,0.684211] precision 0.75835 [0.790123,0.684211] precision 0.759957 [0.783133,0.705882] precision 0.759289 [0.805195,0.652174] precision 0.7225 [0.775,0.6] precision 0.707059 [0.752941,0.6] precision 0.711935 [0.772152,0.571429] precision 0.7225 [0.775,0.6] precision 0.802083 [0.797619,0.8125] precision 0.7225 [0.775,0.6] precision 0.702131 [0.780822,0.518519] precision 0.733918 [0.777778,0.631579] precision 0.727489 [0.802817,0.551724] precision 0.692885 [0.766234,0.521739] precision 0.695935 [0.756098,0.555556] precision 0.735081 [0.78481,0.619048] precision 0.786038 [0.795181,0.764706] precision 0.727489 [0.802817,0.551724] precision 0.807212 [0.814815,0.789474] precision 0.711935 [0.772152,0.571429] precision 0.784932 [0.835616,0.666667] precision 0.735294 [0.764706,0.666667] precision 0.721138 [0.768293,0.611111] precision 0.735081 [0.78481,0.619048] precision 0.724709 [0.782051,0.590909] precision 0.814474 [0.842105,0.75] precision 0.684211 [0.763158,0.5] precision 0.782667 [0.826667,0.68] precision 0.796627 [0.847222,0.678571] precision 0.675 [0.75,0.5] precision 0.697333 [0.773333,0.52] precision 0.792541 [0.820513,0.727273] precision 0.725 [0.75,0.666667] precision 0.782781 [0.802469,0.736842] precision 0.771545 [0.792683,0.722222] precision 0.670732 [0.743902,0.5] precision 0.735081 [0.78481,0.619048] precision 0.75835 [0.790123,0.684211] precision 0.7225 [0.775,0.6] precision 0.773181 [0.824324,0.653846] precision 0.781063 [0.77907,0.785714] precision 0.767897 [0.830986,0.62069] precision 0.75835 [0.790123,0.684211] precision 0.731111 [0.744444,0.7] precision 0.803557 [0.831169,0.73913] precision 0.747917 [0.77381,0.6875] precision 0.75835 [0.790123,0.684211] precision 0.679487 [0.75641,0.5] precision 0.656876 [0.74359,0.454545] precision 0.804521 [0.822785,0.761905] precision 0.69875 [0.7625,0.55] precision 0.711935 [0.772152,0.571429] predictive_accuracy 0.77 predictive_accuracy 0.79 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.79 predictive_accuracy 0.76 predictive_accuracy 0.79 predictive_accuracy 0.8 predictive_accuracy 0.67 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.77 predictive_accuracy 0.76 predictive_accuracy 0.71 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.79 predictive_accuracy 0.73 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.75 predictive_accuracy 0.79 predictive_accuracy 0.73 predictive_accuracy 0.71 predictive_accuracy 0.77 predictive_accuracy 0.69 predictive_accuracy 0.78 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.8 predictive_accuracy 0.73 predictive_accuracy 0.75 predictive_accuracy 0.8 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.79 predictive_accuracy 0.77 predictive_accuracy 0.79 predictive_accuracy 0.78 predictive_accuracy 0.76 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.74 predictive_accuracy 0.73 predictive_accuracy 0.73 predictive_accuracy 0.74 predictive_accuracy 0.8 predictive_accuracy 0.74 predictive_accuracy 0.71 predictive_accuracy 0.75 predictive_accuracy 0.73 predictive_accuracy 0.71 predictive_accuracy 0.72 predictive_accuracy 0.75 predictive_accuracy 0.79 predictive_accuracy 0.73 predictive_accuracy 0.81 predictive_accuracy 0.73 predictive_accuracy 0.79 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.75 predictive_accuracy 0.74 predictive_accuracy 0.82 predictive_accuracy 0.7 predictive_accuracy 0.79 predictive_accuracy 0.8 predictive_accuracy 0.7 predictive_accuracy 0.71 predictive_accuracy 0.8 predictive_accuracy 0.74 predictive_accuracy 0.79 predictive_accuracy 0.78 predictive_accuracy 0.7 predictive_accuracy 0.75 predictive_accuracy 0.77 predictive_accuracy 0.74 predictive_accuracy 0.78 predictive_accuracy 0.78 predictive_accuracy 0.77 predictive_accuracy 0.77 predictive_accuracy 0.74 predictive_accuracy 0.81 predictive_accuracy 0.76 predictive_accuracy 0.77 predictive_accuracy 0.7 predictive_accuracy 0.68 predictive_accuracy 0.81 predictive_accuracy 0.72 predictive_accuracy 0.73 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 0.77 [0.871429,0.533333] recall 0.79 [0.914286,0.5] recall 0.76 [0.914286,0.4] recall 0.75 [0.857143,0.5] recall 0.79 [0.871429,0.6] recall 0.76 [0.871429,0.5] recall 0.79 [0.942857,0.433333] recall 0.8 [0.985714,0.366667] recall 0.67 [0.842857,0.266667] recall 0.75 [0.914286,0.366667] recall 0.74 [0.914286,0.333333] recall 0.77 [0.928571,0.4] recall 0.76 [0.9,0.433333] recall 0.71 [0.885714,0.3] recall 0.8 [0.9,0.566667] recall 0.76 [0.928571,0.366667] recall 0.76 [0.871429,0.5] recall 0.8 [0.957143,0.433333] recall 0.79 [0.9,0.533333] recall 0.73 [0.857143,0.433333] recall 0.76 [0.9,0.433333] recall 0.76 [0.885714,0.466667] recall 0.75 [0.857143,0.5] recall 0.79 [0.914286,0.5] recall 0.73 [0.9,0.333333] recall 0.71 [0.828571,0.433333] recall 0.77 [0.857143,0.566667] recall 0.69 [0.842857,0.333333] recall 0.78 [0.942857,0.4] recall 0.8 [0.9,0.566667] recall 0.78 [0.857143,0.6] recall 0.75 [0.885714,0.433333] recall 0.75 [0.9,0.4] recall 0.77 [0.871429,0.533333] recall 0.8 [0.942857,0.466667] recall 0.73 [0.871429,0.4] recall 0.75 [0.842857,0.533333] recall 0.8 [0.914286,0.533333] recall 0.78 [0.928571,0.433333] recall 0.77 [0.914286,0.433333] recall 0.77 [0.914286,0.433333] recall 0.79 [0.914286,0.5] recall 0.77 [0.914286,0.433333] recall 0.79 [0.914286,0.5] recall 0.78 [0.857143,0.6] recall 0.76 [0.9,0.433333] recall 0.77 [0.971429,0.3] recall 0.77 [0.914286,0.433333] recall 0.77 [0.914286,0.433333] recall 0.77 [0.914286,0.433333] recall 0.77 [0.928571,0.4] recall 0.77 [0.885714,0.5] recall 0.74 [0.885714,0.4] recall 0.73 [0.914286,0.3] recall 0.73 [0.871429,0.4] recall 0.74 [0.885714,0.4] recall 0.8 [0.957143,0.433333] recall 0.74 [0.885714,0.4] recall 0.71 [0.814286,0.466667] recall 0.75 [0.9,0.4] recall 0.73 [0.814286,0.533333] recall 0.71 [0.842857,0.4] recall 0.72 [0.885714,0.333333] recall 0.75 [0.885714,0.433333] recall 0.79 [0.942857,0.433333] recall 0.73 [0.814286,0.533333] recall 0.81 [0.942857,0.5] recall 0.73 [0.871429,0.4] recall 0.79 [0.871429,0.6] recall 0.75 [0.928571,0.333333] recall 0.74 [0.9,0.366667] recall 0.75 [0.885714,0.433333] recall 0.74 [0.871429,0.433333] recall 0.82 [0.914286,0.6] recall 0.7 [0.828571,0.4] recall 0.79 [0.885714,0.566667] recall 0.8 [0.871429,0.633333] recall 0.7 [0.857143,0.333333] recall 0.71 [0.828571,0.433333] recall 0.8 [0.914286,0.533333] recall 0.74 [0.942857,0.266667] recall 0.79 [0.928571,0.466667] recall 0.78 [0.928571,0.433333] recall 0.7 [0.871429,0.3] recall 0.75 [0.885714,0.433333] recall 0.77 [0.914286,0.433333] recall 0.74 [0.885714,0.4] recall 0.78 [0.871429,0.566667] recall 0.78 [0.957143,0.366667] recall 0.77 [0.842857,0.6] recall 0.77 [0.914286,0.433333] recall 0.74 [0.957143,0.233333] recall 0.81 [0.914286,0.566667] recall 0.76 [0.928571,0.366667] recall 0.77 [0.914286,0.433333] recall 0.7 [0.842857,0.366667] recall 0.68 [0.828571,0.333333] recall 0.81 [0.928571,0.533333] recall 0.72 [0.871429,0.366667] recall 0.73 [0.871429,0.4] relative_absolute_error 0.748637 relative_absolute_error 0.745541 relative_absolute_error 0.79776 relative_absolute_error 0.808355 relative_absolute_error 0.71657 relative_absolute_error 0.770022 relative_absolute_error 0.731486 relative_absolute_error 0.757522 relative_absolute_error 0.864997 relative_absolute_error 0.808195 relative_absolute_error 0.780737 relative_absolute_error 0.718482 relative_absolute_error 0.742745 relative_absolute_error 0.8152 relative_absolute_error 0.765041 relative_absolute_error 0.75395 relative_absolute_error 0.782782 relative_absolute_error 0.723058 relative_absolute_error 0.738018 relative_absolute_error 0.815997 relative_absolute_error 0.776074 relative_absolute_error 0.78779 relative_absolute_error 0.77447 relative_absolute_error 0.753469 relative_absolute_error 0.808809 relative_absolute_error 0.809467 relative_absolute_error 0.820995 relative_absolute_error 0.789091 relative_absolute_error 0.755582 relative_absolute_error 0.733364 relative_absolute_error 0.778687 relative_absolute_error 0.806399 relative_absolute_error 0.745896 relative_absolute_error 0.750498 relative_absolute_error 0.725453 relative_absolute_error 0.77037 relative_absolute_error 0.773668 relative_absolute_error 0.724882 relative_absolute_error 0.760985 relative_absolute_error 0.778974 relative_absolute_error 0.804162 relative_absolute_error 0.795105 relative_absolute_error 0.808949 relative_absolute_error 0.787548 relative_absolute_error 0.745694 relative_absolute_error 0.795802 relative_absolute_error 0.738816 relative_absolute_error 0.779138 relative_absolute_error 0.797741 relative_absolute_error 0.793167 relative_absolute_error 0.705338 relative_absolute_error 0.798855 relative_absolute_error 0.784848 relative_absolute_error 0.772175 relative_absolute_error 0.784804 relative_absolute_error 0.769281 relative_absolute_error 0.701522 relative_absolute_error 0.787107 relative_absolute_error 0.785122 relative_absolute_error 0.743905 relative_absolute_error 0.79934 relative_absolute_error 0.818953 relative_absolute_error 0.797574 relative_absolute_error 0.782834 relative_absolute_error 0.723042 relative_absolute_error 0.834839 relative_absolute_error 0.725501 relative_absolute_error 0.79447 relative_absolute_error 0.687792 relative_absolute_error 0.838707 relative_absolute_error 0.788737 relative_absolute_error 0.798981 relative_absolute_error 0.781301 relative_absolute_error 0.683622 relative_absolute_error 0.819756 relative_absolute_error 0.697345 relative_absolute_error 0.793197 relative_absolute_error 0.854148 relative_absolute_error 0.78106 relative_absolute_error 0.718224 relative_absolute_error 0.780585 relative_absolute_error 0.738015 relative_absolute_error 0.744523 relative_absolute_error 0.774895 relative_absolute_error 0.782938 relative_absolute_error 0.794948 relative_absolute_error 0.793358 relative_absolute_error 0.738694 relative_absolute_error 0.763376 relative_absolute_error 0.787407 relative_absolute_error 0.793717 relative_absolute_error 0.756366 relative_absolute_error 0.758016 relative_absolute_error 0.749845 relative_absolute_error 0.801846 relative_absolute_error 0.819825 relative_absolute_error 0.843182 relative_absolute_error 0.718672 relative_absolute_error 0.784234 relative_absolute_error 0.739519 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 0.386521 root_mean_squared_error 0.396956 root_mean_squared_error 0.416697 root_mean_squared_error 0.413819 root_mean_squared_error 0.372275 root_mean_squared_error 0.395532 root_mean_squared_error 0.387976 root_mean_squared_error 0.377258 root_mean_squared_error 0.451458 root_mean_squared_error 0.407646 root_mean_squared_error 0.418976 root_mean_squared_error 0.381894 root_mean_squared_error 0.404967 root_mean_squared_error 0.42519 root_mean_squared_error 0.38366 root_mean_squared_error 0.397841 root_mean_squared_error 0.402891 root_mean_squared_error 0.380371 root_mean_squared_error 0.380171 root_mean_squared_error 0.425362 root_mean_squared_error 0.412849 root_mean_squared_error 0.412095 root_mean_squared_error 0.415246 root_mean_squared_error 0.395459 root_mean_squared_error 0.428082 root_mean_squared_error 0.421879 root_mean_squared_error 0.414704 root_mean_squared_error 0.418678 root_mean_squared_error 0.400268 root_mean_squared_error 0.387369 root_mean_squared_error 0.400117 root_mean_squared_error 0.410065 root_mean_squared_error 0.389225 root_mean_squared_error 0.390792 root_mean_squared_error 0.389661 root_mean_squared_error 0.401196 root_mean_squared_error 0.401514 root_mean_squared_error 0.377376 root_mean_squared_error 0.404811 root_mean_squared_error 0.410255 root_mean_squared_error 0.40547 root_mean_squared_error 0.403532 root_mean_squared_error 0.420381 root_mean_squared_error 0.420313 root_mean_squared_error 0.392827 root_mean_squared_error 0.411569 root_mean_squared_error 0.398796 root_mean_squared_error 0.394133 root_mean_squared_error 0.426562 root_mean_squared_error 0.406801 root_mean_squared_error 0.387005 root_mean_squared_error 0.408932 root_mean_squared_error 0.404937 root_mean_squared_error 0.401381 root_mean_squared_error 0.410058 root_mean_squared_error 0.406172 root_mean_squared_error 0.385855 root_mean_squared_error 0.422437 root_mean_squared_error 0.41956 root_mean_squared_error 0.402857 root_mean_squared_error 0.420027 root_mean_squared_error 0.427022 root_mean_squared_error 0.411889 root_mean_squared_error 0.400977 root_mean_squared_error 0.378219 root_mean_squared_error 0.433789 root_mean_squared_error 0.383438 root_mean_squared_error 0.427436 root_mean_squared_error 0.364554 root_mean_squared_error 0.41612 root_mean_squared_error 0.40373 root_mean_squared_error 0.414004 root_mean_squared_error 0.406698 root_mean_squared_error 0.360737 root_mean_squared_error 0.423718 root_mean_squared_error 0.379268 root_mean_squared_error 0.389866 root_mean_squared_error 0.433844 root_mean_squared_error 0.400402 root_mean_squared_error 0.379472 root_mean_squared_error 0.40657 root_mean_squared_error 0.39156 root_mean_squared_error 0.384451 root_mean_squared_error 0.418326 root_mean_squared_error 0.43029 root_mean_squared_error 0.403766 root_mean_squared_error 0.415056 root_mean_squared_error 0.380476 root_mean_squared_error 0.395874 root_mean_squared_error 0.412977 root_mean_squared_error 0.413709 root_mean_squared_error 0.405632 root_mean_squared_error 0.386545 root_mean_squared_error 0.393659 root_mean_squared_error 0.402754 root_mean_squared_error 0.433925 root_mean_squared_error 0.443259 root_mean_squared_error 0.388378 root_mean_squared_error 0.412301 root_mean_squared_error 0.396852 root_relative_squared_error 0.843457 root_relative_squared_error 0.866228 root_relative_squared_error 0.909308 root_relative_squared_error 0.903026 root_relative_squared_error 0.812371 root_relative_squared_error 0.863121 root_relative_squared_error 0.846632 root_relative_squared_error 0.823243 root_relative_squared_error 0.985162 root_relative_squared_error 0.889557 root_relative_squared_error 0.914279 root_relative_squared_error 0.83336 root_relative_squared_error 0.88371 root_relative_squared_error 0.927841 root_relative_squared_error 0.837215 root_relative_squared_error 0.86816 root_relative_squared_error 0.87918 root_relative_squared_error 0.830036 root_relative_squared_error 0.8296 root_relative_squared_error 0.928216 root_relative_squared_error 0.900911 root_relative_squared_error 0.899265 root_relative_squared_error 0.90614 root_relative_squared_error 0.862962 root_relative_squared_error 0.934151 root_relative_squared_error 0.920616 root_relative_squared_error 0.904958 root_relative_squared_error 0.91363 root_relative_squared_error 0.873456 root_relative_squared_error 0.845308 root_relative_squared_error 0.873127 root_relative_squared_error 0.894836 root_relative_squared_error 0.849359 root_relative_squared_error 0.852778 root_relative_squared_error 0.850309 root_relative_squared_error 0.87548 root_relative_squared_error 0.876175 root_relative_squared_error 0.823501 root_relative_squared_error 0.883369 root_relative_squared_error 0.89525 root_relative_squared_error 0.884808 root_relative_squared_error 0.880578 root_relative_squared_error 0.917346 root_relative_squared_error 0.917198 root_relative_squared_error 0.857218 root_relative_squared_error 0.898118 root_relative_squared_error 0.870243 root_relative_squared_error 0.860068 root_relative_squared_error 0.930835 root_relative_squared_error 0.887712 root_relative_squared_error 0.844514 root_relative_squared_error 0.892363 root_relative_squared_error 0.883645 root_relative_squared_error 0.875885 root_relative_squared_error 0.89482 root_relative_squared_error 0.886341 root_relative_squared_error 0.842005 root_relative_squared_error 0.921833 root_relative_squared_error 0.915554 root_relative_squared_error 0.879106 root_relative_squared_error 0.916573 root_relative_squared_error 0.931838 root_relative_squared_error 0.898815 root_relative_squared_error 0.875004 root_relative_squared_error 0.825341 root_relative_squared_error 0.946604 root_relative_squared_error 0.836731 root_relative_squared_error 0.932741 root_relative_squared_error 0.795521 root_relative_squared_error 0.908049 root_relative_squared_error 0.88101 root_relative_squared_error 0.90343 root_relative_squared_error 0.887487 root_relative_squared_error 0.787193 root_relative_squared_error 0.924629 root_relative_squared_error 0.827631 root_relative_squared_error 0.850757 root_relative_squared_error 0.946725 root_relative_squared_error 0.873748 root_relative_squared_error 0.828075 root_relative_squared_error 0.887208 root_relative_squared_error 0.854453 root_relative_squared_error 0.838941 root_relative_squared_error 0.912861 root_relative_squared_error 0.93897 root_relative_squared_error 0.881089 root_relative_squared_error 0.905727 root_relative_squared_error 0.830266 root_relative_squared_error 0.863867 root_relative_squared_error 0.901189 root_relative_squared_error 0.902787 root_relative_squared_error 0.885161 root_relative_squared_error 0.84351 root_relative_squared_error 0.859035 root_relative_squared_error 0.878881 root_relative_squared_error 0.946903 root_relative_squared_error 0.967271 root_relative_squared_error 0.847511 root_relative_squared_error 0.899714 root_relative_squared_error 0.866001 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 4170 usercpu_time_millis 4060 usercpu_time_millis 4430 usercpu_time_millis 4070 usercpu_time_millis 4980 usercpu_time_millis 4410 usercpu_time_millis 4020 usercpu_time_millis 4000 usercpu_time_millis 3980 usercpu_time_millis 4370 usercpu_time_millis 4600 usercpu_time_millis 4530 usercpu_time_millis 4330 usercpu_time_millis 4110 usercpu_time_millis 4320 usercpu_time_millis 4290 usercpu_time_millis 4070 usercpu_time_millis 4060 usercpu_time_millis 4020 usercpu_time_millis 4550 usercpu_time_millis 4170 usercpu_time_millis 4330 usercpu_time_millis 4100 usercpu_time_millis 4050 usercpu_time_millis 4460 usercpu_time_millis 4300 usercpu_time_millis 3990 usercpu_time_millis 3900 usercpu_time_millis 3910 usercpu_time_millis 4220 usercpu_time_millis 4540 usercpu_time_millis 4140 usercpu_time_millis 4070 usercpu_time_millis 3960 usercpu_time_millis 4440 usercpu_time_millis 4410 usercpu_time_millis 3930 usercpu_time_millis 3950 usercpu_time_millis 3980 usercpu_time_millis 3980 usercpu_time_millis 4310 usercpu_time_millis 4630 usercpu_time_millis 4120 usercpu_time_millis 3960 usercpu_time_millis 4470 usercpu_time_millis 4250 usercpu_time_millis 4030 usercpu_time_millis 3980 usercpu_time_millis 4210 usercpu_time_millis 4090 usercpu_time_millis 4580 usercpu_time_millis 4150 usercpu_time_millis 3980 usercpu_time_millis 3980 usercpu_time_millis 4070 usercpu_time_millis 4660 usercpu_time_millis 3930 usercpu_time_millis 3960 usercpu_time_millis 4280 usercpu_time_millis 4070 usercpu_time_millis 4680 usercpu_time_millis 4520 usercpu_time_millis 3980 usercpu_time_millis 3950 usercpu_time_millis 4480 usercpu_time_millis 4560 usercpu_time_millis 3990 usercpu_time_millis 4040 usercpu_time_millis 4650 usercpu_time_millis 4120 usercpu_time_millis 4670 usercpu_time_millis 4170 usercpu_time_millis 4030 usercpu_time_millis 4540 usercpu_time_millis 4110 usercpu_time_millis 4500 usercpu_time_millis 3950 usercpu_time_millis 4030 usercpu_time_millis 4180 usercpu_time_millis 4100 usercpu_time_millis 4390 usercpu_time_millis 4570 usercpu_time_millis 4110 usercpu_time_millis 4340 usercpu_time_millis 4480 usercpu_time_millis 4250 usercpu_time_millis 3850 usercpu_time_millis 4080 usercpu_time_millis 4580 usercpu_time_millis 4090 usercpu_time_millis 4620 usercpu_time_millis 4340 usercpu_time_millis 3990 usercpu_time_millis 4810 usercpu_time_millis 4180 usercpu_time_millis 4040 usercpu_time_millis 3890 usercpu_time_millis 3960 usercpu_time_millis 4230 usercpu_time_millis 4090 usercpu_time_millis_testing 180 usercpu_time_millis_testing 110 usercpu_time_millis_testing 230 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 190 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 180 usercpu_time_millis_testing 220 usercpu_time_millis_testing 230 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 200 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 90 usercpu_time_millis_testing 110 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 250 usercpu_time_millis_testing 100 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 130 usercpu_time_millis_testing 210 usercpu_time_millis_testing 210 usercpu_time_millis_testing 100 usercpu_time_millis_testing 100 usercpu_time_millis_testing 250 usercpu_time_millis_testing 110 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 100 usercpu_time_millis_testing 140 usercpu_time_millis_testing 90 usercpu_time_millis_testing 230 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 110 usercpu_time_millis_testing 250 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 140 usercpu_time_millis_testing 150 usercpu_time_millis_testing 190 usercpu_time_millis_testing 210 usercpu_time_millis_testing 100 usercpu_time_millis_testing 110 usercpu_time_millis_testing 230 usercpu_time_millis_testing 240 usercpu_time_millis_testing 90 usercpu_time_millis_testing 110 usercpu_time_millis_testing 240 usercpu_time_millis_testing 130 usercpu_time_millis_testing 230 usercpu_time_millis_testing 190 usercpu_time_millis_testing 100 usercpu_time_millis_testing 100 usercpu_time_millis_testing 230 usercpu_time_millis_testing 220 usercpu_time_millis_testing 100 usercpu_time_millis_testing 120 usercpu_time_millis_testing 230 usercpu_time_millis_testing 150 usercpu_time_millis_testing 250 usercpu_time_millis_testing 100 usercpu_time_millis_testing 90 usercpu_time_millis_testing 220 usercpu_time_millis_testing 220 usercpu_time_millis_testing 170 usercpu_time_millis_testing 100 usercpu_time_millis_testing 100 usercpu_time_millis_testing 120 usercpu_time_millis_testing 160 usercpu_time_millis_testing 250 usercpu_time_millis_testing 240 usercpu_time_millis_testing 90 usercpu_time_millis_testing 100 usercpu_time_millis_testing 210 usercpu_time_millis_testing 110 usercpu_time_millis_testing 90 usercpu_time_millis_testing 110 usercpu_time_millis_testing 220 usercpu_time_millis_testing 160 usercpu_time_millis_testing 250 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