248206 2 Joaquin Vanschoren 4291 Supervised Classification predictive_accuracy 1154 weka.NaiveBayes(10) 1913 weka.classifiers.bayes.NaiveBayes weka weka_3.7.12 720 abalone https://www.openml.org/data/download/53254/abalone.arff -1 825114 description https://api.openml.org/data/download/825114/weka_generated_run8244464178608066985.xml -1 825120 model_readable https://api.openml.org/data/download/825120/WekaModel_weka.classifiers.bayes.NaiveBayes6391158162855844011.model -1 825118 model_serialized https://api.openml.org/data/download/825118/WekaSerialized_weka.classifiers.bayes.NaiveBayes383888134355837846.model -1 825116 predictions https://api.openml.org/data/download/825116/weka_generated_predictions3006092846942950500.arff area_under_roc_curve 0.820577 [0.820577,0.820577] average_cost 0 f_measure 0.73354 [0.728938,0.738175] kappa 0.467346 kb_relative_information_score 19436.023989 mean_absolute_error 0.267701 mean_prior_absolute_error 0.499994 number_of_instances 41770 [20960,20810] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.734086 [0.744797,0.723298] predictive_accuracy 0.733637 prior_entropy 0.999991 recall 0.733637 [0.71374,0.753676] relative_absolute_error 0.535408 root_mean_prior_squared_error 0.499997 root_mean_squared_error 0.483812 root_relative_squared_error 0.96763 scimark_benchmark 922.141925 [554.0789831458634, 945.7447781357974, 477.2185884444444, 899.9107119392947, 1733.7565612664832] total_cost 0 usercpu_time_millis 20 usercpu_time_millis_testing 10 usercpu_time_millis_training 10 area_under_roc_curve 0.839324 [0.839324,0.839324] area_under_roc_curve 0.824542 [0.824542,0.824542] area_under_roc_curve 0.804205 [0.804205,0.804205] area_under_roc_curve 0.79992 [0.79992,0.79992] area_under_roc_curve 0.824832 [0.824832,0.824832] area_under_roc_curve 0.81825 [0.81825,0.81825] area_under_roc_curve 0.824203 [0.824203,0.824203] area_under_roc_curve 0.83244 [0.83244,0.83244] area_under_roc_curve 0.823173 [0.823173,0.823173] area_under_roc_curve 0.841899 [0.841899,0.841899] area_under_roc_curve 0.802392 [0.802392,0.802392] area_under_roc_curve 0.84035 [0.84035,0.84035] area_under_roc_curve 0.775744 [0.775744,0.775744] area_under_roc_curve 0.85799 [0.85799,0.85799] area_under_roc_curve 0.806307 [0.806307,0.806307] area_under_roc_curve 0.826431 [0.826431,0.826431] area_under_roc_curve 0.818555 [0.818555,0.818555] area_under_roc_curve 0.790179 [0.790179,0.790179] area_under_roc_curve 0.830792 [0.830792,0.830792] area_under_roc_curve 0.791438 [0.791438,0.791438] area_under_roc_curve 0.853217 [0.853217,0.853217] area_under_roc_curve 0.85111 [0.85111,0.85111] area_under_roc_curve 0.844906 [0.844906,0.844906] area_under_roc_curve 0.834638 [0.834638,0.834638] area_under_roc_curve 0.805288 [0.805288,0.805288] area_under_roc_curve 0.766552 [0.766552,0.766552] area_under_roc_curve 0.873157 [0.873157,0.873157] area_under_roc_curve 0.82025 [0.82025,0.82025] area_under_roc_curve 0.823581 [0.823581,0.823581] area_under_roc_curve 0.808539 [0.808539,0.808539] area_under_roc_curve 0.789812 [0.789812,0.789812] area_under_roc_curve 0.794849 [0.794849,0.794849] area_under_roc_curve 0.856754 [0.856754,0.856754] area_under_roc_curve 0.790648 [0.790648,0.790648] area_under_roc_curve 0.832257 [0.832257,0.832257] area_under_roc_curve 0.819952 [0.819952,0.819952] area_under_roc_curve 0.780655 [0.780655,0.780655] area_under_roc_curve 0.834512 [0.834512,0.834512] area_under_roc_curve 0.803468 [0.803468,0.803468] area_under_roc_curve 0.833082 [0.833082,0.833082] area_under_roc_curve 0.762683 [0.762683,0.762683] area_under_roc_curve 0.806216 [0.806216,0.806216] area_under_roc_curve 0.835657 [0.835657,0.835657] area_under_roc_curve 0.803674 [0.803674,0.803674] area_under_roc_curve 0.811195 [0.811195,0.811195] area_under_roc_curve 0.814927 [0.814927,0.814927] area_under_roc_curve 0.852988 [0.852988,0.852988] area_under_roc_curve 0.833425 [0.833425,0.833425] area_under_roc_curve 0.835943 [0.835943,0.835943] area_under_roc_curve 0.841552 [0.841552,0.841552] area_under_roc_curve 0.825572 [0.825572,0.825572] area_under_roc_curve 0.819883 [0.819883,0.819883] area_under_roc_curve 0.807383 [0.807383,0.807383] area_under_roc_curve 0.827701 [0.827701,0.827701] area_under_roc_curve 0.820124 [0.820124,0.820124] area_under_roc_curve 0.844849 [0.844849,0.844849] area_under_roc_curve 0.800378 [0.800378,0.800378] area_under_roc_curve 0.814881 [0.814881,0.814881] area_under_roc_curve 0.796909 [0.796909,0.796909] area_under_roc_curve 0.816827 [0.816827,0.816827] area_under_roc_curve 0.829098 [0.829098,0.829098] area_under_roc_curve 0.805545 [0.805545,0.805545] area_under_roc_curve 0.836973 [0.836973,0.836973] area_under_roc_curve 0.8336 [0.8336,0.8336] area_under_roc_curve 0.849737 [0.849737,0.849737] area_under_roc_curve 0.849691 [0.849691,0.849691] area_under_roc_curve 0.80119 [0.80119,0.80119] area_under_roc_curve 0.813775 [0.813775,0.813775] area_under_roc_curve 0.812626 [0.812626,0.812626] area_under_roc_curve 0.806937 [0.806937,0.806937] area_under_roc_curve 0.835917 [0.835917,0.835917] area_under_roc_curve 0.81357 [0.81357,0.81357] area_under_roc_curve 0.834181 [0.834181,0.834181] area_under_roc_curve 0.821448 [0.821448,0.821448] area_under_roc_curve 0.827521 [0.827521,0.827521] area_under_roc_curve 0.819838 [0.819838,0.819838] area_under_roc_curve 0.818906 [0.818906,0.818906] area_under_roc_curve 0.850662 [0.850662,0.850662] area_under_roc_curve 0.836124 [0.836124,0.836124] area_under_roc_curve 0.845452 [0.845452,0.845452] area_under_roc_curve 0.860692 [0.860692,0.860692] area_under_roc_curve 0.844141 [0.844141,0.844141] area_under_roc_curve 0.809498 [0.809498,0.809498] area_under_roc_curve 0.809372 [0.809372,0.809372] area_under_roc_curve 0.798364 [0.798364,0.798364] area_under_roc_curve 0.805588 [0.805588,0.805588] area_under_roc_curve 0.800906 [0.800906,0.800906] area_under_roc_curve 0.786909 [0.786909,0.786909] area_under_roc_curve 0.813133 [0.813133,0.813133] area_under_roc_curve 0.809452 [0.809452,0.809452] area_under_roc_curve 0.811798 [0.811798,0.811798] area_under_roc_curve 0.810372 [0.810372,0.810372] area_under_roc_curve 0.806554 [0.806554,0.806554] area_under_roc_curve 0.827291 [0.827291,0.827291] area_under_roc_curve 0.834986 [0.834986,0.834986] area_under_roc_curve 0.84222 [0.84222,0.84222] area_under_roc_curve 0.830592 [0.830592,0.830592] area_under_roc_curve 0.835446 [0.835446,0.835446] area_under_roc_curve 0.83027 [0.83027,0.83027] area_under_roc_curve 0.81449 [0.81449,0.81449] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 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 0.75578 [0.748768,0.762791] f_measure 0.716848 [0.70202,0.731818] f_measure 0.720017 [0.715328,0.724706] f_measure 0.715306 [0.714628,0.71599] f_measure 0.750991 [0.743842,0.75814] f_measure 0.732002 [0.728155,0.735849] f_measure 0.741414 [0.73399,0.748837] f_measure 0.741449 [0.735294,0.747664] f_measure 0.729626 [0.726392,0.732861] f_measure 0.762853 [0.754342,0.771363] f_measure 0.712919 [0.712919,0.712919] f_measure 0.763072 [0.759124,0.767059] f_measure 0.686605 [0.687351,0.685851] f_measure 0.7488 [0.750594,0.746988] f_measure 0.741615 [0.744076,0.73913] f_measure 0.722488 [0.72381,0.721154] f_measure 0.734445 [0.736342,0.73253] f_measure 0.696111 [0.692494,0.699764] f_measure 0.759908 [0.746193,0.773756] f_measure 0.715078 [0.707617,0.722611] f_measure 0.755981 [0.757143,0.754808] f_measure 0.777432 [0.773723,0.781176] f_measure 0.753567 [0.751807,0.755344] f_measure 0.751162 [0.748792,0.753555] f_measure 0.717341 [0.707921,0.726852] f_measure 0.686023 [0.673317,0.698851] f_measure 0.796577 [0.793187,0.8] f_measure 0.740844 [0.727273,0.754545] f_measure 0.72245 [0.719807,0.725118] f_measure 0.710521 [0.709832,0.711217] f_measure 0.711718 [0.693878,0.72973] f_measure 0.734427 [0.73253,0.736342] f_measure 0.762502 [0.75063,0.774487] f_measure 0.72927 [0.719603,0.73903] f_measure 0.732021 [0.729469,0.734597] f_measure 0.727198 [0.723301,0.731132] f_measure 0.693274 [0.706422,0.68] f_measure 0.746086 [0.737624,0.75463] f_measure 0.732021 [0.729469,0.734597] f_measure 0.724857 [0.722892,0.726841] f_measure 0.688596 [0.678218,0.699074] f_measure 0.696111 [0.701176,0.690998] f_measure 0.753584 [0.755344,0.751807] f_measure 0.703268 [0.699029,0.707547] f_measure 0.734354 [0.729927,0.738824] f_measure 0.722488 [0.72381,0.721154] f_measure 0.77004 [0.762376,0.777778] f_measure 0.739212 [0.737349,0.741093] f_measure 0.755914 [0.752427,0.759434] f_measure 0.744021 [0.74463,0.743405] f_measure 0.741449 [0.735294,0.747664] f_measure 0.73683 [0.739336,0.7343] f_measure 0.717665 [0.714976,0.720379] f_measure 0.727148 [0.721951,0.732394] f_measure 0.72671 [0.715,0.738532] f_measure 0.753584 [0.752998,0.754177] f_measure 0.712721 [0.705882,0.719626] f_measure 0.717574 [0.712195,0.723005] f_measure 0.698565 [0.698565,0.698565] f_measure 0.748339 [0.738155,0.758621] f_measure 0.732045 [0.734597,0.729469] f_measure 0.719825 [0.711111,0.728538] f_measure 0.755668 [0.747525,0.763889] f_measure 0.746039 [0.736318,0.75576] f_measure 0.746237 [0.753488,0.738916] f_measure 0.76311 [0.760291,0.765957] f_measure 0.705197 [0.693267,0.717241] f_measure 0.741627 [0.741627,0.741627] f_measure 0.719172 [0.703797,0.734694] f_measure 0.712879 [0.710145,0.71564] f_measure 0.745537 [0.737624,0.753488] f_measure 0.7382 [0.72818,0.748268] f_measure 0.760115 [0.756098,0.764151] f_measure 0.736193 [0.7343,0.738095] f_measure 0.740924 [0.736585,0.745283] f_measure 0.756812 [0.741688,0.772009] f_measure 0.716273 [0.70202,0.730594] f_measure 0.771978 [0.765432,0.778555] f_measure 0.74561 [0.738916,0.752336] f_measure 0.755337 [0.759434,0.75122] f_measure 0.764704 [0.773148,0.756219] f_measure 0.731211 [0.724138,0.738318] f_measure 0.71223 [0.712919,0.711538] f_measure 0.731276 [0.72549,0.737089] f_measure 0.704679 [0.694789,0.714617] f_measure 0.718745 [0.70529,0.732265] f_measure 0.731369 [0.728155,0.734597] f_measure 0.709762 [0.705596,0.713948] f_measure 0.719415 [0.718072,0.720764] f_measure 0.731044 [0.721393,0.740741] f_measure 0.731044 [0.721393,0.740741] f_measure 0.724154 [0.720195,0.728132] f_measure 0.713937 [0.700252,0.727689] f_measure 0.738293 [0.729529,0.7471] f_measure 0.743243 [0.737101,0.749415] f_measure 0.752995 [0.754177,0.751807] f_measure 0.728951 [0.725061,0.732861] f_measure 0.733795 [0.736342,0.731235] f_measure 0.740945 [0.745283,0.736585] f_measure 0.731044 [0.721393,0.740741] kappa 0.511962 kappa 0.435704 kappa 0.440191 kappa 0.430648 kappa 0.502392 kappa 0.464115 kappa 0.483254 kappa 0.483384 kappa 0.45933 kappa 0.526316 kappa 0.42585 kappa 0.526403 kappa 0.373206 kappa 0.497585 kappa 0.483218 kappa 0.444963 kappa 0.468875 kappa 0.392428 kappa 0.521805 kappa 0.430778 kappa 0.511951 kappa 0.555105 kappa 0.507222 kappa 0.502449 kappa 0.435601 kappa 0.373464 kappa 0.593376 kappa 0.483526 kappa 0.44504 kappa 0.421079 kappa 0.426192 kappa 0.468948 kappa 0.526554 kappa 0.459528 kappa 0.464176 kappa 0.454633 kappa 0.387321 kappa 0.492997 kappa 0.464176 kappa 0.449811 kappa 0.378204 kappa 0.392261 kappa 0.507154 kappa 0.406794 kappa 0.468997 kappa 0.444963 kappa 0.540828 kappa 0.478517 kappa 0.51204 kappa 0.488038 kappa 0.483384 kappa 0.473648 kappa 0.435471 kappa 0.454658 kappa 0.454783 kappa 0.5072 kappa 0.425982 kappa 0.435523 kappa 0.397143 kappa 0.497815 kappa 0.464078 kappa 0.440191 kappa 0.512129 kappa 0.492823 kappa 0.492695 kappa 0.526381 kappa 0.411726 kappa 0.483254 kappa 0.440499 kappa 0.425903 kappa 0.491686 kappa 0.477317 kappa 0.520425 kappa 0.472443 kappa 0.482059 kappa 0.515735 kappa 0.434193 kappa 0.54443 kappa 0.491674 kappa 0.510755 kappa 0.529898 kappa 0.462901 kappa 0.424457 kappa 0.462888 kappa 0.41017 kappa 0.438981 kappa 0.462864 kappa 0.419708 kappa 0.438865 kappa 0.462925 kappa 0.462925 kappa 0.448482 kappa 0.429391 kappa 0.477305 kappa 0.486873 kappa 0.505987 kappa 0.458074 kappa 0.467604 kappa 0.481976 kappa 0.462925 kb_relative_information_score 210.33172 kb_relative_information_score 186.098474 kb_relative_information_score 181.799037 kb_relative_information_score 176.771096 kb_relative_information_score 211.141387 kb_relative_information_score 192.986818 kb_relative_information_score 195.640278 kb_relative_information_score 203.852662 kb_relative_information_score 191.542564 kb_relative_information_score 217.818967 kb_relative_information_score 180.805617 kb_relative_information_score 213.397929 kb_relative_information_score 153.549414 kb_relative_information_score 209.93208 kb_relative_information_score 191.950992 kb_relative_information_score 190.659679 kb_relative_information_score 193.658697 kb_relative_information_score 163.964816 kb_relative_information_score 210.816799 kb_relative_information_score 170.626304 kb_relative_information_score 210.580532 kb_relative_information_score 224.490474 kb_relative_information_score 209.512571 kb_relative_information_score 206.661617 kb_relative_information_score 184.452714 kb_relative_information_score 155.212733 kb_relative_information_score 245.483818 kb_relative_information_score 199.841202 kb_relative_information_score 192.519489 kb_relative_information_score 173.261517 kb_relative_information_score 171.09458 kb_relative_information_score 186.581511 kb_relative_information_score 220.75038 kb_relative_information_score 185.857526 kb_relative_information_score 194.352731 kb_relative_information_score 193.586057 kb_relative_information_score 166.861444 kb_relative_information_score 203.434328 kb_relative_information_score 192.64314 kb_relative_information_score 193.459875 kb_relative_information_score 157.029998 kb_relative_information_score 171.690015 kb_relative_information_score 209.044393 kb_relative_information_score 172.104722 kb_relative_information_score 195.282065 kb_relative_information_score 183.135809 kb_relative_information_score 222.231674 kb_relative_information_score 202.224166 kb_relative_information_score 208.69697 kb_relative_information_score 207.334393 kb_relative_information_score 199.645287 kb_relative_information_score 194.440588 kb_relative_information_score 180.425396 kb_relative_information_score 196.953851 kb_relative_information_score 187.983922 kb_relative_information_score 211.795139 kb_relative_information_score 177.078086 kb_relative_information_score 185.795573 kb_relative_information_score 170.714629 kb_relative_information_score 196.644818 kb_relative_information_score 194.427617 kb_relative_information_score 184.02858 kb_relative_information_score 214.613501 kb_relative_information_score 206.323561 kb_relative_information_score 208.712668 kb_relative_information_score 217.405688 kb_relative_information_score 175.417938 kb_relative_information_score 198.046731 kb_relative_information_score 186.825973 kb_relative_information_score 186.278178 kb_relative_information_score 201.668948 kb_relative_information_score 194.841329 kb_relative_information_score 209.893759 kb_relative_information_score 197.904432 kb_relative_information_score 192.832109 kb_relative_information_score 207.704902 kb_relative_information_score 181.323866 kb_relative_information_score 224.044854 kb_relative_information_score 202.491488 kb_relative_information_score 217.291274 kb_relative_information_score 221.907111 kb_relative_information_score 200.422004 kb_relative_information_score 180.181816 kb_relative_information_score 188.491943 kb_relative_information_score 173.874075 kb_relative_information_score 182.517231 kb_relative_information_score 192.120089 kb_relative_information_score 168.213189 kb_relative_information_score 183.665136 kb_relative_information_score 194.037809 kb_relative_information_score 195.598463 kb_relative_information_score 188.876289 kb_relative_information_score 182.907579 kb_relative_information_score 200.307686 kb_relative_information_score 205.259545 kb_relative_information_score 207.14573 kb_relative_information_score 195.35359 kb_relative_information_score 194.529058 kb_relative_information_score 203.542724 kb_relative_information_score 186.76046 mean_absolute_error 0.248736 mean_absolute_error 0.277073 mean_absolute_error 0.282902 mean_absolute_error 0.289116 mean_absolute_error 0.248335 mean_absolute_error 0.269526 mean_absolute_error 0.266532 mean_absolute_error 0.255761 mean_absolute_error 0.271807 mean_absolute_error 0.240465 mean_absolute_error 0.283265 mean_absolute_error 0.245796 mean_absolute_error 0.316425 mean_absolute_error 0.248349 mean_absolute_error 0.272031 mean_absolute_error 0.271386 mean_absolute_error 0.268193 mean_absolute_error 0.30352 mean_absolute_error 0.249098 mean_absolute_error 0.29651 mean_absolute_error 0.248878 mean_absolute_error 0.232769 mean_absolute_error 0.249889 mean_absolute_error 0.253834 mean_absolute_error 0.279342 mean_absolute_error 0.313878 mean_absolute_error 0.20712 mean_absolute_error 0.261758 mean_absolute_error 0.269063 mean_absolute_error 0.292583 mean_absolute_error 0.296342 mean_absolute_error 0.278295 mean_absolute_error 0.23623 mean_absolute_error 0.279493 mean_absolute_error 0.267706 mean_absolute_error 0.26833 mean_absolute_error 0.300025 mean_absolute_error 0.257454 mean_absolute_error 0.270543 mean_absolute_error 0.268015 mean_absolute_error 0.313368 mean_absolute_error 0.293865 mean_absolute_error 0.250338 mean_absolute_error 0.293537 mean_absolute_error 0.266565 mean_absolute_error 0.281257 mean_absolute_error 0.235093 mean_absolute_error 0.258839 mean_absolute_error 0.251803 mean_absolute_error 0.251666 mean_absolute_error 0.261394 mean_absolute_error 0.268216 mean_absolute_error 0.284622 mean_absolute_error 0.263383 mean_absolute_error 0.275211 mean_absolute_error 0.24644 mean_absolute_error 0.288611 mean_absolute_error 0.277582 mean_absolute_error 0.295161 mean_absolute_error 0.266199 mean_absolute_error 0.266943 mean_absolute_error 0.280037 mean_absolute_error 0.243512 mean_absolute_error 0.253423 mean_absolute_error 0.250002 mean_absolute_error 0.241011 mean_absolute_error 0.289973 mean_absolute_error 0.264111 mean_absolute_error 0.275981 mean_absolute_error 0.276729 mean_absolute_error 0.25858 mean_absolute_error 0.26661 mean_absolute_error 0.249468 mean_absolute_error 0.262655 mean_absolute_error 0.270092 mean_absolute_error 0.253025 mean_absolute_error 0.282781 mean_absolute_error 0.232353 mean_absolute_error 0.258041 mean_absolute_error 0.24001 mean_absolute_error 0.234259 mean_absolute_error 0.258616 mean_absolute_error 0.284149 mean_absolute_error 0.274963 mean_absolute_error 0.291641 mean_absolute_error 0.281751 mean_absolute_error 0.271055 mean_absolute_error 0.298389 mean_absolute_error 0.279723 mean_absolute_error 0.268102 mean_absolute_error 0.265564 mean_absolute_error 0.274504 mean_absolute_error 0.280406 mean_absolute_error 0.260533 mean_absolute_error 0.253569 mean_absolute_error 0.252349 mean_absolute_error 0.265404 mean_absolute_error 0.267156 mean_absolute_error 0.255953 mean_absolute_error 0.276967 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499991 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 mean_prior_absolute_error 0.499996 number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 418 [209,209] number_of_instances 418 [210,208] number_of_instances 418 [210,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] number_of_instances 417 [209,208] precision 0.756828 [0.771574,0.742081] precision 0.720766 [0.747312,0.693966] precision 0.720343 [0.727723,0.712963] precision 0.715375 [0.719807,0.7109] precision 0.752027 [0.766497,0.737557] precision 0.732249 [0.738916,0.725581] precision 0.742426 [0.756345,0.728507] precision 0.742497 [0.757576,0.727273] precision 0.729797 [0.735294,0.724299] precision 0.76452 [0.783505,0.745536] precision 0.712951 [0.716346,0.709524] precision 0.763695 [0.776119,0.751152] precision 0.686614 [0.688995,0.684211] precision 0.748804 [0.748815,0.748792] precision 0.741637 [0.740566,0.742718] precision 0.722488 [0.72381,0.721154] precision 0.734449 [0.734597,0.7343] precision 0.696441 [0.704433,0.688372] precision 0.765004 [0.798913,0.730769] precision 0.716232 [0.730964,0.701357] precision 0.755981 [0.757143,0.754808] precision 0.778073 [0.791045,0.764977] precision 0.753762 [0.760976,0.746479] precision 0.751438 [0.759804,0.742991] precision 0.71909 [0.737113,0.700893] precision 0.688294 [0.706806,0.669604] precision 0.797244 [0.810945,0.78341] precision 0.744996 [0.774194,0.715517] precision 0.72271 [0.730392,0.714953] precision 0.71059 [0.714976,0.706161] precision 0.716992 [0.747253,0.686441] precision 0.734614 [0.741463,0.7277] precision 0.766507 [0.796791,0.735931] precision 0.731299 [0.751295,0.711111] precision 0.732286 [0.740196,0.724299] precision 0.727656 [0.737624,0.717593] precision 0.69481 [0.681416,0.708333] precision 0.747956 [0.768041,0.727679] precision 0.732286 [0.740196,0.724299] precision 0.725041 [0.731707,0.71831] precision 0.690223 [0.706186,0.674107] precision 0.69625 [0.693023,0.699507] precision 0.753589 [0.753555,0.753623] precision 0.703702 [0.712871,0.694444] precision 0.73494 [0.746269,0.723502] precision 0.722488 [0.72381,0.721154] precision 0.772012 [0.793814,0.75] precision 0.739401 [0.746341,0.732394] precision 0.756401 [0.767327,0.74537] precision 0.744031 [0.746411,0.741627] precision 0.742497 [0.757576,0.727273] precision 0.736852 [0.735849,0.737864] precision 0.717922 [0.72549,0.71028] precision 0.727857 [0.74,0.715596] precision 0.729497 [0.752632,0.70614] precision 0.753658 [0.758454,0.748815] precision 0.713702 [0.727273,0.7] precision 0.718267 [0.73,0.706422] precision 0.698597 [0.701923,0.695238] precision 0.750986 [0.774869,0.726872] precision 0.732066 [0.731132,0.73301] precision 0.720951 [0.734694,0.707207] precision 0.757579 [0.778351,0.736607] precision 0.747864 [0.766839,0.728889] precision 0.746919 [0.736364,0.757576] precision 0.763491 [0.773399,0.753488] precision 0.707584 [0.727749,0.687225] precision 0.741627 [0.741627,0.741627] precision 0.723449 [0.751351,0.695279] precision 0.713134 [0.720588,0.705607] precision 0.746957 [0.764103,0.72973] precision 0.740257 [0.760417,0.72] precision 0.760597 [0.771144,0.75] precision 0.73631 [0.741463,0.731132] precision 0.741386 [0.751244,0.731481] precision 0.762264 [0.796703,0.72766] precision 0.719541 [0.743316,0.695652] precision 0.773278 [0.790816,0.755656] precision 0.746655 [0.761421,0.731818] precision 0.75559 [0.748837,0.762376] precision 0.766151 [0.748879,0.783505] precision 0.732221 [0.746193,0.718182] precision 0.71223 [0.712919,0.711538] precision 0.731979 [0.743719,0.720183] precision 0.706153 [0.721649,0.690583] precision 0.721741 [0.744681,0.69869] precision 0.731625 [0.738916,0.724299] precision 0.710092 [0.717822,0.702326] precision 0.71948 [0.723301,0.71564] precision 0.732835 [0.751295,0.714286] precision 0.732835 [0.751295,0.714286] precision 0.724496 [0.732673,0.716279] precision 0.716896 [0.739362,0.694323] precision 0.739895 [0.757732,0.721973] precision 0.744117 [0.757576,0.730594] precision 0.753001 [0.752381,0.753623] precision 0.729297 [0.737624,0.72093] precision 0.733852 [0.731132,0.736585] precision 0.741189 [0.734884,0.747525] precision 0.732835 [0.751295,0.714286] predictive_accuracy 0.755981 predictive_accuracy 0.717703 predictive_accuracy 0.720096 predictive_accuracy 0.715311 predictive_accuracy 0.751196 predictive_accuracy 0.732057 predictive_accuracy 0.741627 predictive_accuracy 0.741627 predictive_accuracy 0.729665 predictive_accuracy 0.763158 predictive_accuracy 0.712919 predictive_accuracy 0.763158 predictive_accuracy 0.686603 predictive_accuracy 0.748804 predictive_accuracy 0.741627 predictive_accuracy 0.722488 predictive_accuracy 0.73445 predictive_accuracy 0.696172 predictive_accuracy 0.760766 predictive_accuracy 0.715311 predictive_accuracy 0.755981 predictive_accuracy 0.777512 predictive_accuracy 0.753589 predictive_accuracy 0.751196 predictive_accuracy 0.717703 predictive_accuracy 0.686603 predictive_accuracy 0.796651 predictive_accuracy 0.741627 predictive_accuracy 0.722488 predictive_accuracy 0.710526 predictive_accuracy 0.712919 predictive_accuracy 0.73445 predictive_accuracy 0.763158 predictive_accuracy 0.729665 predictive_accuracy 0.732057 predictive_accuracy 0.727273 predictive_accuracy 0.69378 predictive_accuracy 0.746411 predictive_accuracy 0.732057 predictive_accuracy 0.72488 predictive_accuracy 0.688995 predictive_accuracy 0.696172 predictive_accuracy 0.753589 predictive_accuracy 0.703349 predictive_accuracy 0.73445 predictive_accuracy 0.722488 predictive_accuracy 0.770335 predictive_accuracy 0.739234 predictive_accuracy 0.755981 predictive_accuracy 0.744019 predictive_accuracy 0.741627 predictive_accuracy 0.736842 predictive_accuracy 0.717703 predictive_accuracy 0.727273 predictive_accuracy 0.727273 predictive_accuracy 0.753589 predictive_accuracy 0.712919 predictive_accuracy 0.717703 predictive_accuracy 0.698565 predictive_accuracy 0.748804 predictive_accuracy 0.732057 predictive_accuracy 0.720096 predictive_accuracy 0.755981 predictive_accuracy 0.746411 predictive_accuracy 0.746411 predictive_accuracy 0.763158 predictive_accuracy 0.705742 predictive_accuracy 0.741627 predictive_accuracy 0.720096 predictive_accuracy 0.712919 predictive_accuracy 0.745803 predictive_accuracy 0.738609 predictive_accuracy 0.760192 predictive_accuracy 0.736211 predictive_accuracy 0.741007 predictive_accuracy 0.757794 predictive_accuracy 0.717026 predictive_accuracy 0.772182 predictive_accuracy 0.745803 predictive_accuracy 0.755396 predictive_accuracy 0.764988 predictive_accuracy 0.731415 predictive_accuracy 0.71223 predictive_accuracy 0.731415 predictive_accuracy 0.705036 predictive_accuracy 0.719424 predictive_accuracy 0.731415 predictive_accuracy 0.709832 predictive_accuracy 0.719424 predictive_accuracy 0.731415 predictive_accuracy 0.731415 predictive_accuracy 0.724221 predictive_accuracy 0.714628 predictive_accuracy 0.738609 predictive_accuracy 0.743405 predictive_accuracy 0.752998 predictive_accuracy 0.729017 predictive_accuracy 0.733813 predictive_accuracy 0.741007 predictive_accuracy 0.731415 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 prior_entropy 0.999991 recall 0.755981 [0.727273,0.784689] recall 0.717703 [0.661905,0.774038] recall 0.720096 [0.703349,0.736842] recall 0.715311 [0.709524,0.721154] recall 0.751196 [0.722488,0.779904] recall 0.732057 [0.717703,0.746411] recall 0.741627 [0.712919,0.770335] recall 0.741627 [0.714286,0.769231] recall 0.729665 [0.717703,0.741627] recall 0.763158 [0.727273,0.799043] recall 0.712919 [0.709524,0.716346] recall 0.763158 [0.742857,0.783654] recall 0.686603 [0.685714,0.6875] recall 0.748804 [0.752381,0.745192] recall 0.741627 [0.747619,0.735577] recall 0.722488 [0.72381,0.721154] recall 0.73445 [0.738095,0.730769] recall 0.696172 [0.680952,0.711538] recall 0.760766 [0.7,0.822115] recall 0.715311 [0.685714,0.745192] recall 0.755981 [0.757143,0.754808] recall 0.777512 [0.757143,0.798077] recall 0.753589 [0.742857,0.764423] recall 0.751196 [0.738095,0.764423] recall 0.717703 [0.680952,0.754808] recall 0.686603 [0.642857,0.730769] recall 0.796651 [0.77619,0.817308] recall 0.741627 [0.685714,0.798077] recall 0.722488 [0.709524,0.735577] recall 0.710526 [0.704762,0.716346] recall 0.712919 [0.647619,0.778846] recall 0.73445 [0.72381,0.745192] recall 0.763158 [0.709524,0.817308] recall 0.729665 [0.690476,0.769231] recall 0.732057 [0.719048,0.745192] recall 0.727273 [0.709524,0.745192] recall 0.69378 [0.733333,0.653846] recall 0.746411 [0.709524,0.783654] recall 0.732057 [0.719048,0.745192] recall 0.72488 [0.714286,0.735577] recall 0.688995 [0.652381,0.725962] recall 0.696172 [0.709524,0.682692] recall 0.753589 [0.757143,0.75] recall 0.703349 [0.685714,0.721154] recall 0.73445 [0.714286,0.754808] recall 0.722488 [0.72381,0.721154] recall 0.770335 [0.733333,0.807692] recall 0.739234 [0.728571,0.75] recall 0.755981 [0.738095,0.774038] recall 0.744019 [0.742857,0.745192] recall 0.741627 [0.714286,0.769231] recall 0.736842 [0.742857,0.730769] recall 0.717703 [0.704762,0.730769] recall 0.727273 [0.704762,0.75] recall 0.727273 [0.680952,0.774038] recall 0.753589 [0.747619,0.759615] recall 0.712919 [0.685714,0.740385] recall 0.717703 [0.695238,0.740385] recall 0.698565 [0.695238,0.701923] recall 0.748804 [0.704762,0.793269] recall 0.732057 [0.738095,0.725962] recall 0.720096 [0.688995,0.751196] recall 0.755981 [0.719048,0.793269] recall 0.746411 [0.708134,0.784689] recall 0.746411 [0.771429,0.721154] recall 0.763158 [0.747619,0.778846] recall 0.705742 [0.661905,0.75] recall 0.741627 [0.741627,0.741627] recall 0.720096 [0.661905,0.778846] recall 0.712919 [0.7,0.725962] recall 0.745803 [0.712919,0.778846] recall 0.738609 [0.698565,0.778846] recall 0.760192 [0.741627,0.778846] recall 0.736211 [0.727273,0.745192] recall 0.741007 [0.722488,0.759615] recall 0.757794 [0.69378,0.822115] recall 0.717026 [0.665072,0.769231] recall 0.772182 [0.741627,0.802885] recall 0.745803 [0.717703,0.774038] recall 0.755396 [0.770335,0.740385] recall 0.764988 [0.799043,0.730769] recall 0.731415 [0.703349,0.759615] recall 0.71223 [0.712919,0.711538] recall 0.731415 [0.708134,0.754808] recall 0.705036 [0.669856,0.740385] recall 0.719424 [0.669856,0.769231] recall 0.731415 [0.717703,0.745192] recall 0.709832 [0.69378,0.725962] recall 0.719424 [0.712919,0.725962] recall 0.731415 [0.69378,0.769231] recall 0.731415 [0.69378,0.769231] recall 0.724221 [0.708134,0.740385] recall 0.714628 [0.665072,0.764423] recall 0.738609 [0.703349,0.774038] recall 0.743405 [0.717703,0.769231] recall 0.752998 [0.755981,0.75] recall 0.729017 [0.712919,0.745192] recall 0.733813 [0.741627,0.725962] recall 0.741007 [0.755981,0.725962] recall 0.731415 [0.69378,0.769231] relative_absolute_error 0.497472 relative_absolute_error 0.554155 relative_absolute_error 0.565805 relative_absolute_error 0.578243 relative_absolute_error 0.49667 relative_absolute_error 0.539052 relative_absolute_error 0.533064 relative_absolute_error 0.51153 relative_absolute_error 0.543614 relative_absolute_error 0.48093 relative_absolute_error 0.56654 relative_absolute_error 0.4916 relative_absolute_error 0.632862 relative_absolute_error 0.496707 relative_absolute_error 0.544071 relative_absolute_error 0.542782 relative_absolute_error 0.536395 relative_absolute_error 0.607051 relative_absolute_error 0.498204 relative_absolute_error 0.59303 relative_absolute_error 0.497764 relative_absolute_error 0.465547 relative_absolute_error 0.499786 relative_absolute_error 0.507677 relative_absolute_error 0.558694 relative_absolute_error 0.627766 relative_absolute_error 0.414247 relative_absolute_error 0.523524 relative_absolute_error 0.538136 relative_absolute_error 0.585176 relative_absolute_error 0.592694 relative_absolute_error 0.5566 relative_absolute_error 0.472467 relative_absolute_error 0.558995 relative_absolute_error 0.53542 relative_absolute_error 0.536668 relative_absolute_error 0.600059 relative_absolute_error 0.514918 relative_absolute_error 0.541095 relative_absolute_error 0.536039 relative_absolute_error 0.626747 relative_absolute_error 0.587741 relative_absolute_error 0.500685 relative_absolute_error 0.587085 relative_absolute_error 0.533139 relative_absolute_error 0.562525 relative_absolute_error 0.470194 relative_absolute_error 0.517688 relative_absolute_error 0.503615 relative_absolute_error 0.50334 relative_absolute_error 0.522798 relative_absolute_error 0.536442 relative_absolute_error 0.569254 relative_absolute_error 0.526775 relative_absolute_error 0.550432 relative_absolute_error 0.492888 relative_absolute_error 0.577232 relative_absolute_error 0.555173 relative_absolute_error 0.590332 relative_absolute_error 0.532407 relative_absolute_error 0.533894 relative_absolute_error 0.560075 relative_absolute_error 0.487033 relative_absolute_error 0.506846 relative_absolute_error 0.500012 relative_absolute_error 0.48203 relative_absolute_error 0.579956 relative_absolute_error 0.528223 relative_absolute_error 0.551972 relative_absolute_error 0.553467 relative_absolute_error 0.517164 relative_absolute_error 0.533225 relative_absolute_error 0.498941 relative_absolute_error 0.525314 relative_absolute_error 0.540189 relative_absolute_error 0.506054 relative_absolute_error 0.565567 relative_absolute_error 0.46471 relative_absolute_error 0.516086 relative_absolute_error 0.480023 relative_absolute_error 0.468522 relative_absolute_error 0.517237 relative_absolute_error 0.568303 relative_absolute_error 0.54993 relative_absolute_error 0.583287 relative_absolute_error 0.563506 relative_absolute_error 0.542115 relative_absolute_error 0.596784 relative_absolute_error 0.559452 relative_absolute_error 0.536208 relative_absolute_error 0.531133 relative_absolute_error 0.549013 relative_absolute_error 0.560817 relative_absolute_error 0.52107 relative_absolute_error 0.507143 relative_absolute_error 0.504702 relative_absolute_error 0.530813 relative_absolute_error 0.534317 relative_absolute_error 0.51191 relative_absolute_error 0.553939 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.500003 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499995 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_prior_squared_error 0.499999 root_mean_squared_error 0.461373 root_mean_squared_error 0.4921 root_mean_squared_error 0.499201 root_mean_squared_error 0.510359 root_mean_squared_error 0.468018 root_mean_squared_error 0.486371 root_mean_squared_error 0.48304 root_mean_squared_error 0.472465 root_mean_squared_error 0.49092 root_mean_squared_error 0.452509 root_mean_squared_error 0.504323 root_mean_squared_error 0.462112 root_mean_squared_error 0.530195 root_mean_squared_error 0.462725 root_mean_squared_error 0.488856 root_mean_squared_error 0.485405 root_mean_squared_error 0.48967 root_mean_squared_error 0.518758 root_mean_squared_error 0.465789 root_mean_squared_error 0.510577 root_mean_squared_error 0.463842 root_mean_squared_error 0.447299 root_mean_squared_error 0.457865 root_mean_squared_error 0.474074 root_mean_squared_error 0.495528 root_mean_squared_error 0.530239 root_mean_squared_error 0.421808 root_mean_squared_error 0.479429 root_mean_squared_error 0.485221 root_mean_squared_error 0.509185 root_mean_squared_error 0.510237 root_mean_squared_error 0.493767 root_mean_squared_error 0.451459 root_mean_squared_error 0.496743 root_mean_squared_error 0.484973 root_mean_squared_error 0.486609 root_mean_squared_error 0.516087 root_mean_squared_error 0.4786 root_mean_squared_error 0.489687 root_mean_squared_error 0.486518 root_mean_squared_error 0.526275 root_mean_squared_error 0.508676 root_mean_squared_error 0.476129 root_mean_squared_error 0.50928 root_mean_squared_error 0.480648 root_mean_squared_error 0.497471 root_mean_squared_error 0.452828 root_mean_squared_error 0.469572 root_mean_squared_error 0.457322 root_mean_squared_error 0.467151 root_mean_squared_error 0.478929 root_mean_squared_error 0.482564 root_mean_squared_error 0.495704 root_mean_squared_error 0.476267 root_mean_squared_error 0.499056 root_mean_squared_error 0.463076 root_mean_squared_error 0.502301 root_mean_squared_error 0.492802 root_mean_squared_error 0.507665 root_mean_squared_error 0.481543 root_mean_squared_error 0.488222 root_mean_squared_error 0.49808 root_mean_squared_error 0.464242 root_mean_squared_error 0.471164 root_mean_squared_error 0.462307 root_mean_squared_error 0.4573 root_mean_squared_error 0.501129 root_mean_squared_error 0.477743 root_mean_squared_error 0.498653 root_mean_squared_error 0.492525 root_mean_squared_error 0.478778 root_mean_squared_error 0.480686 root_mean_squared_error 0.459238 root_mean_squared_error 0.476278 root_mean_squared_error 0.481263 root_mean_squared_error 0.46415 root_mean_squared_error 0.495913 root_mean_squared_error 0.448396 root_mean_squared_error 0.468933 root_mean_squared_error 0.454028 root_mean_squared_error 0.442025 root_mean_squared_error 0.477454 root_mean_squared_error 0.500373 root_mean_squared_error 0.487149 root_mean_squared_error 0.503382 root_mean_squared_error 0.501681 root_mean_squared_error 0.484599 root_mean_squared_error 0.513118 root_mean_squared_error 0.496484 root_mean_squared_error 0.488067 root_mean_squared_error 0.478898 root_mean_squared_error 0.490943 root_mean_squared_error 0.497374 root_mean_squared_error 0.474676 root_mean_squared_error 0.468509 root_mean_squared_error 0.462894 root_mean_squared_error 0.483539 root_mean_squared_error 0.483327 root_mean_squared_error 0.474543 root_mean_squared_error 0.492694 root_relative_squared_error 0.92274 root_relative_squared_error 0.98421 root_relative_squared_error 0.998396 root_relative_squared_error 1.020729 root_relative_squared_error 0.936031 root_relative_squared_error 0.972737 root_relative_squared_error 0.966075 root_relative_squared_error 0.94494 root_relative_squared_error 0.981833 root_relative_squared_error 0.905012 root_relative_squared_error 1.008656 root_relative_squared_error 0.924234 root_relative_squared_error 1.060401 root_relative_squared_error 0.92546 root_relative_squared_error 0.977723 root_relative_squared_error 0.97082 root_relative_squared_error 0.979351 root_relative_squared_error 1.037528 root_relative_squared_error 0.931588 root_relative_squared_error 1.021165 root_relative_squared_error 0.927694 root_relative_squared_error 0.894608 root_relative_squared_error 0.91574 root_relative_squared_error 0.948158 root_relative_squared_error 0.991066 root_relative_squared_error 1.06049 root_relative_squared_error 0.843625 root_relative_squared_error 0.958868 root_relative_squared_error 0.970452 root_relative_squared_error 1.018381 root_relative_squared_error 1.020485 root_relative_squared_error 0.987545 root_relative_squared_error 0.902927 root_relative_squared_error 0.993497 root_relative_squared_error 0.969955 root_relative_squared_error 0.973229 root_relative_squared_error 1.032184 root_relative_squared_error 0.95721 root_relative_squared_error 0.979384 root_relative_squared_error 0.973047 root_relative_squared_error 1.052561 root_relative_squared_error 1.017363 root_relative_squared_error 0.952268 root_relative_squared_error 1.018571 root_relative_squared_error 0.961307 root_relative_squared_error 0.994953 root_relative_squared_error 0.905665 root_relative_squared_error 0.939154 root_relative_squared_error 0.914654 root_relative_squared_error 0.934312 root_relative_squared_error 0.957869 root_relative_squared_error 0.965138 root_relative_squared_error 0.991419 root_relative_squared_error 0.952543 root_relative_squared_error 0.998122 root_relative_squared_error 0.926161 root_relative_squared_error 1.004614 root_relative_squared_error 0.985615 root_relative_squared_error 1.015342 root_relative_squared_error 0.963095 root_relative_squared_error 0.976455 root_relative_squared_error 0.996154 root_relative_squared_error 0.928494 root_relative_squared_error 0.942323 root_relative_squared_error 0.924625 root_relative_squared_error 0.914609 root_relative_squared_error 1.00227 root_relative_squared_error 0.955479 root_relative_squared_error 0.997316 root_relative_squared_error 0.98506 root_relative_squared_error 0.957559 root_relative_squared_error 0.961375 root_relative_squared_error 0.918478 root_relative_squared_error 0.952558 root_relative_squared_error 0.962529 root_relative_squared_error 0.928303 root_relative_squared_error 0.991827 root_relative_squared_error 0.896794 root_relative_squared_error 0.937868 root_relative_squared_error 0.908059 root_relative_squared_error 0.884052 root_relative_squared_error 0.95491 root_relative_squared_error 1.000747 root_relative_squared_error 0.974299 root_relative_squared_error 1.006765 root_relative_squared_error 1.003365 root_relative_squared_error 0.969199 root_relative_squared_error 1.026239 root_relative_squared_error 0.99297 root_relative_squared_error 0.976135 root_relative_squared_error 0.957798 root_relative_squared_error 0.981889 root_relative_squared_error 0.99475 root_relative_squared_error 0.949354 root_relative_squared_error 0.937021 root_relative_squared_error 0.925791 root_relative_squared_error 0.967081 root_relative_squared_error 0.966655 root_relative_squared_error 0.949088 root_relative_squared_error 0.985391 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 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 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 10 usercpu_time_millis 0 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