342522 2 Joaquin Vanschoren 4215 Supervised Classification predictive_accuracy 1165 weka.A1DE(4) 1918 weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0 F 1 1165 M 1.0 1165 weka weka_3.7.12 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 1177094 description https://api.openml.org/data/download/1177094/weka_generated_run8793410340068097221.xml -1 1177097 model_readable https://api.openml.org/data/download/1177097/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8346995253806734636.model -1 1177096 model_serialized https://api.openml.org/data/download/1177096/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE2692397238808831203.model -1 1177095 predictions https://api.openml.org/data/download/1177095/weka_generated_predictions5892375974877747691.arff area_under_roc_curve 0.995993 [0.998011,0.995153,0.99804,0.997598,0.998609,0.999921,0.999467,0.984372,0.989959] average_cost 0 f_measure 0.925394 [0.929224,0.912593,0.95059,0.93805,0.937776,0.986566,0.970758,0.83147,0.835352] kappa 0.915783 kb_relative_information_score 91311.153571 mean_absolute_error 0.024041 mean_prior_absolute_error 0.196178 number_of_instances 99610 [10960,9910,16140,14730,7820,9630,11700,10110,8610] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.925384 [0.945594,0.905031,0.944686,0.935517,0.925741,0.985594,0.965506,0.855112,0.829895] predictive_accuracy 0.92566 prior_entropy 3.132137 recall 0.92566 [0.913412,0.920283,0.956568,0.940597,0.950128,0.987539,0.976068,0.8091,0.840883] relative_absolute_error 0.122547 root_mean_prior_squared_error 0.313191 root_mean_squared_error 0.109949 root_relative_squared_error 0.35106 scimark_benchmark 1332.94776 [800.4776133056787, 1007.5581615570936, 540.3834072391531, 1066.4930043609838, 3249.8266120595163] total_cost 0 usercpu_time_millis 170 usercpu_time_millis_testing 70 usercpu_time_millis_training 100 area_under_roc_curve 0.99596 [0.998585,0.996344,0.99734,0.99809,0.999876,1,0.999,0.98507,0.986611] area_under_roc_curve 0.995397 [0.996526,0.99468,0.997487,0.997479,0.999609,0.999954,0.999573,0.978552,0.992674] area_under_roc_curve 0.996102 [0.99794,0.995276,0.997021,0.996511,0.998159,0.999873,0.999204,0.987041,0.992725] area_under_roc_curve 0.995213 [0.998533,0.994556,0.99705,0.99653,0.999093,0.999965,0.999514,0.975967,0.99418] area_under_roc_curve 0.996915 [0.99918,0.995028,0.99896,0.997692,0.999738,0.999977,0.99999,0.987447,0.991946] area_under_roc_curve 0.994866 [0.996177,0.995084,0.99841,0.997748,0.998772,0.999977,0.99967,0.98374,0.978818] area_under_roc_curve 0.996935 [0.998688,0.998414,0.998365,0.999088,0.997339,0.999989,0.999738,0.985376,0.992737] area_under_roc_curve 0.996636 [0.998104,0.994961,0.99786,0.997374,0.999358,1,0.999864,0.987767,0.992965] area_under_roc_curve 0.995911 [0.997903,0.995585,0.997616,0.997246,0.998577,1,0.999854,0.982927,0.991155] area_under_roc_curve 0.99598 [0.998058,0.994578,0.99759,0.996687,0.998428,0.999977,0.998844,0.986574,0.991209] area_under_roc_curve 0.996378 [0.997187,0.997433,0.998178,0.998351,0.999227,0.999873,0.999562,0.986305,0.988359] area_under_roc_curve 0.994964 [0.996747,0.995597,0.998431,0.998125,0.997151,0.999919,0.998454,0.983163,0.981613] area_under_roc_curve 0.994952 [0.996881,0.993761,0.99698,0.999367,0.999511,0.999722,0.999417,0.979352,0.98528] area_under_roc_curve 0.995571 [0.998573,0.992658,0.997084,0.997307,0.997129,0.999919,0.999776,0.984822,0.989918] area_under_roc_curve 0.99648 [0.997773,0.997387,0.998237,0.997275,0.997067,0.999954,0.998853,0.985951,0.993854] area_under_roc_curve 0.995714 [0.997045,0.993806,0.997523,0.998285,0.997724,0.999954,0.999786,0.982322,0.992084] area_under_roc_curve 0.995765 [0.998273,0.992106,0.998133,0.997594,0.998268,0.999667,0.999407,0.983992,0.991413] area_under_roc_curve 0.995253 [0.998184,0.996937,0.996087,0.997681,0.995936,0.999896,0.999728,0.979767,0.990123] area_under_roc_curve 0.995293 [0.999159,0.995389,0.998416,0.997981,0.997363,0.999896,0.999601,0.978793,0.986277] area_under_roc_curve 0.995978 [0.996814,0.996964,0.996729,0.997853,0.995894,0.999977,0.998687,0.99261,0.985037] area_under_roc_curve 0.995304 [0.997989,0.997207,0.996839,0.9969,0.998534,0.999942,0.999951,0.978218,0.989701] area_under_roc_curve 0.996589 [0.998502,0.995394,0.998342,0.99863,0.997263,1,0.999874,0.986504,0.991682] area_under_roc_curve 0.996358 [0.998379,0.996306,0.997898,0.996771,0.998897,0.999919,0.999757,0.98386,0.994007] area_under_roc_curve 0.996997 [0.999266,0.993588,0.997954,0.9975,0.999931,0.999919,0.999806,0.992986,0.990365] area_under_roc_curve 0.995047 [0.996809,0.994584,0.997672,0.998223,0.998729,0.999942,0.999815,0.979977,0.985357] area_under_roc_curve 0.996068 [0.998379,0.994279,0.997806,0.99718,0.999489,0.999965,0.999242,0.984269,0.992065] area_under_roc_curve 0.995182 [0.998655,0.995469,0.996615,0.996725,0.998184,0.999907,0.999543,0.980065,0.988934] area_under_roc_curve 0.995043 [0.997835,0.997174,0.997255,0.998311,0.999288,0.999977,0.998853,0.974423,0.988934] area_under_roc_curve 0.995414 [0.998276,0.997466,0.998222,0.998229,0.998578,0.999884,0.999426,0.978483,0.985855] area_under_roc_curve 0.996448 [0.997599,0.996734,0.997439,0.997965,0.999637,0.999965,0.999446,0.988229,0.988947] area_under_roc_curve 0.99744 [0.999118,0.996667,0.999104,0.999407,0.99919,0.999884,0.999611,0.990685,0.990353] area_under_roc_curve 0.996226 [0.997609,0.995406,0.998113,0.998125,0.998254,0.999641,0.999747,0.988517,0.987209] area_under_roc_curve 0.99696 [0.998594,0.998086,0.998594,0.998333,0.997165,0.99985,0.999825,0.9899,0.989126] area_under_roc_curve 0.996507 [0.996614,0.997264,0.998393,0.996643,0.998897,1,0.999621,0.990022,0.989138] area_under_roc_curve 0.995591 [0.997363,0.996329,0.998742,0.997316,0.998073,0.999954,0.999592,0.978716,0.990851] area_under_roc_curve 0.996819 [0.999056,0.996261,0.998274,0.998117,0.999172,0.999907,0.999018,0.986647,0.992998] area_under_roc_curve 0.995587 [0.996686,0.992489,0.997672,0.997809,0.99845,0.999907,0.999718,0.985198,0.989177] area_under_roc_curve 0.996897 [0.999046,0.99562,0.998795,0.998301,0.997833,0.999896,0.999737,0.986869,0.993368] area_under_roc_curve 0.99592 [0.998153,0.991048,0.99788,0.998005,0.999246,0.999897,0.999592,0.984258,0.99264] area_under_roc_curve 0.996005 [0.998266,0.996847,0.997409,0.998077,0.998925,0.999942,0.999621,0.98022,0.992538] area_under_roc_curve 0.996667 [0.999056,0.994527,0.998609,0.997877,0.999022,0.999884,0.999358,0.986172,0.993292] area_under_roc_curve 0.995471 [0.998009,0.990383,0.998661,0.99758,0.999531,0.999965,0.999864,0.984385,0.9868] area_under_roc_curve 0.993921 [0.997024,0.991126,0.99695,0.995497,0.996509,0.999943,0.998785,0.981465,0.983683] area_under_roc_curve 0.996012 [0.997455,0.99893,0.998698,0.999303,0.999134,0.999759,0.999874,0.980231,0.986379] 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area_under_roc_curve 0.996387 [0.998564,0.994685,0.998148,0.996859,0.998254,0.999931,0.999582,0.988583,0.990583] area_under_roc_curve 0.996787 [0.998389,0.9946,0.997972,0.99742,0.99838,0.999919,0.998823,0.989325,0.994991] area_under_roc_curve 0.996172 [0.998276,0.995845,0.998765,0.997156,0.998198,1,0.999601,0.981055,0.99425] area_under_roc_curve 0.995499 [0.997876,0.994685,0.999097,0.998029,0.998073,1,0.999699,0.978041,0.989727] area_under_roc_curve 0.996822 [0.997725,0.991272,0.999301,0.997941,0.99743,0.999989,0.999251,0.991692,0.994173] area_under_roc_curve 0.995664 [0.998338,0.995462,0.997999,0.99754,0.999218,0.99992,0.999708,0.978682,0.991311] area_under_roc_curve 0.997064 [0.998451,0.993379,0.999063,0.998566,0.999469,1,0.999864,0.992477,0.989305] area_under_roc_curve 0.996181 [0.995824,0.99607,0.99849,0.998085,0.998212,0.999861,0.999383,0.986813,0.989854] area_under_roc_curve 0.996981 [0.998211,0.997399,0.997843,0.997379,0.999204,1,0.999242,0.989546,0.992883] area_under_roc_curve 0.996822 [0.998904,0.995946,0.99965,0.997586,0.99824,1,0.999057,0.988805,0.990084] area_under_roc_curve 0.996307 [0.998625,0.996216,0.998378,0.997965,0.999344,0.999943,0.998765,0.983506,0.991567] area_under_roc_curve 0.995205 [0.997983,0.995394,0.998209,0.997436,0.998757,0.999896,0.999183,0.983273,0.982284] area_under_roc_curve 0.99589 [0.997042,0.993593,0.998039,0.997548,0.998478,1,0.999319,0.988395,0.98735] area_under_roc_curve 0.996652 [0.998061,0.995552,0.998646,0.997564,0.999707,0.999954,0.999465,0.98896,0.989548] area_under_roc_curve 0.994968 [0.997642,0.992545,0.997039,0.995433,0.998813,0.999828,0.999417,0.985032,0.986315] area_under_roc_curve 0.995597 [0.998338,0.997072,0.996593,0.997011,0.999581,0.999977,0.999475,0.979943,0.990902] area_under_roc_curve 0.994924 [0.995331,0.993795,0.997813,0.996523,0.999595,0.99992,0.999358,0.982278,0.986507] area_under_roc_curve 0.996564 [0.998174,0.992602,0.997419,0.997772,0.998967,1,0.999747,0.988318,0.994697] area_under_roc_curve 0.995822 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kb_relative_information_score 913.380253 kb_relative_information_score 908.083977 kb_relative_information_score 907.940588 kb_relative_information_score 907.945504 kb_relative_information_score 907.236509 kb_relative_information_score 910.43297 kb_relative_information_score 923.056971 kb_relative_information_score 908.847828 kb_relative_information_score 924.179194 kb_relative_information_score 908.517362 kb_relative_information_score 909.02017 kb_relative_information_score 908.150904 kb_relative_information_score 910.516505 kb_relative_information_score 913.686904 kb_relative_information_score 913.642254 kb_relative_information_score 923.965266 kb_relative_information_score 911.222181 kb_relative_information_score 923.586522 kb_relative_information_score 916.752511 kb_relative_information_score 908.951252 kb_relative_information_score 923.209203 kb_relative_information_score 911.112374 kb_relative_information_score 916.087672 kb_relative_information_score 912.566546 kb_relative_information_score 917.392442 kb_relative_information_score 919.485694 kb_relative_information_score 909.337055 kb_relative_information_score 895.125999 kb_relative_information_score 920.315957 kb_relative_information_score 912.130482 kb_relative_information_score 925.690395 kb_relative_information_score 912.809944 kb_relative_information_score 912.73492 kb_relative_information_score 905.43924 kb_relative_information_score 911.622157 kb_relative_information_score 911.430247 kb_relative_information_score 925.084015 kb_relative_information_score 905.149777 kb_relative_information_score 915.217996 kb_relative_information_score 922.786234 kb_relative_information_score 915.35027 kb_relative_information_score 917.878344 kb_relative_information_score 923.216052 kb_relative_information_score 916.556292 kb_relative_information_score 921.545046 kb_relative_information_score 908.924104 kb_relative_information_score 919.831784 kb_relative_information_score 920.624623 kb_relative_information_score 913.058231 kb_relative_information_score 905.142175 kb_relative_information_score 905.680516 kb_relative_information_score 914.762799 kb_relative_information_score 899.789011 kb_relative_information_score 912.874263 kb_relative_information_score 904.689895 kb_relative_information_score 915.118985 kb_relative_information_score 908.589951 kb_relative_information_score 918.599764 kb_relative_information_score 906.185358 kb_relative_information_score 917.007456 kb_relative_information_score 912.022435 kb_relative_information_score 911.058079 kb_relative_information_score 906.802575 kb_relative_information_score 909.198959 kb_relative_information_score 913.596876 kb_relative_information_score 916.292501 kb_relative_information_score 910.295799 kb_relative_information_score 915.869804 kb_relative_information_score 915.579612 kb_relative_information_score 924.97518 kb_relative_information_score 906.80959 kb_relative_information_score 913.475344 kb_relative_information_score 916.091559 kb_relative_information_score 923.062438 kb_relative_information_score 909.947172 kb_relative_information_score 907.556581 kb_relative_information_score 915.485168 kb_relative_information_score 910.101582 kb_relative_information_score 902.371807 kb_relative_information_score 903.275646 kb_relative_information_score 917.691059 kb_relative_information_score 907.795801 kb_relative_information_score 909.994924 kb_relative_information_score 922.643243 kb_relative_information_score 909.772615 mean_absolute_error 0.025134 mean_absolute_error 0.026189 mean_absolute_error 0.024685 mean_absolute_error 0.024092 mean_absolute_error 0.021004 mean_absolute_error 0.024142 mean_absolute_error 0.020851 mean_absolute_error 0.022782 mean_absolute_error 0.024553 mean_absolute_error 0.025353 mean_absolute_error 0.024687 mean_absolute_error 0.026436 mean_absolute_error 0.024302 mean_absolute_error 0.02448 mean_absolute_error 0.025932 mean_absolute_error 0.023697 mean_absolute_error 0.024826 mean_absolute_error 0.024587 mean_absolute_error 0.02543 mean_absolute_error 0.025549 mean_absolute_error 0.024569 mean_absolute_error 0.021996 mean_absolute_error 0.025054 mean_absolute_error 0.021705 mean_absolute_error 0.025158 mean_absolute_error 0.024941 mean_absolute_error 0.02573 mean_absolute_error 0.024508 mean_absolute_error 0.024112 mean_absolute_error 0.024213 mean_absolute_error 0.02126 mean_absolute_error 0.024414 mean_absolute_error 0.021426 mean_absolute_error 0.023374 mean_absolute_error 0.024837 mean_absolute_error 0.021799 mean_absolute_error 0.024709 mean_absolute_error 0.023548 mean_absolute_error 0.023731 mean_absolute_error 0.022786 mean_absolute_error 0.022564 mean_absolute_error 0.024602 mean_absolute_error 0.028162 mean_absolute_error 0.022493 mean_absolute_error 0.024216 mean_absolute_error 0.021195 mean_absolute_error 0.023672 mean_absolute_error 0.024446 mean_absolute_error 0.025832 mean_absolute_error 0.024212 mean_absolute_error 0.025268 mean_absolute_error 0.021555 mean_absolute_error 0.026151 mean_absolute_error 0.023926 mean_absolute_error 0.02235 mean_absolute_error 0.023268 mean_absolute_error 0.022427 mean_absolute_error 0.021681 mean_absolute_error 0.023379 mean_absolute_error 0.022482 mean_absolute_error 0.025158 mean_absolute_error 0.022642 mean_absolute_error 0.02176 mean_absolute_error 0.023957 mean_absolute_error 0.025561 mean_absolute_error 0.025605 mean_absolute_error 0.023587 mean_absolute_error 0.027263 mean_absolute_error 0.023794 mean_absolute_error 0.025985 mean_absolute_error 0.023688 mean_absolute_error 0.024946 mean_absolute_error 0.022418 mean_absolute_error 0.02581 mean_absolute_error 0.022443 mean_absolute_error 0.024708 mean_absolute_error 0.024075 mean_absolute_error 0.025702 mean_absolute_error 0.025178 mean_absolute_error 0.023565 mean_absolute_error 0.022866 mean_absolute_error 0.024464 mean_absolute_error 0.023465 mean_absolute_error 0.023643 mean_absolute_error 0.022016 mean_absolute_error 0.025351 mean_absolute_error 0.02405 mean_absolute_error 0.023025 mean_absolute_error 0.021883 mean_absolute_error 0.024488 mean_absolute_error 0.025344 mean_absolute_error 0.02337 mean_absolute_error 0.024946 mean_absolute_error 0.025978 mean_absolute_error 0.026497 mean_absolute_error 0.022898 mean_absolute_error 0.025046 mean_absolute_error 0.024227 mean_absolute_error 0.021646 mean_absolute_error 0.024582 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.196174 mean_prior_absolute_error 0.196174 mean_prior_absolute_error 0.196165 mean_prior_absolute_error 0.196182 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.196195 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.196166 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196172 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196191 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196175 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196185 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196172 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.196175 mean_prior_absolute_error 0.196173 mean_prior_absolute_error 0.19619 mean_prior_absolute_error 0.196176 mean_prior_absolute_error 0.19618 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196172 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196175 mean_prior_absolute_error 0.196187 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196189 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196192 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.196192 mean_prior_absolute_error 0.19617 mean_prior_absolute_error 0.196162 mean_prior_absolute_error 0.19618 number_of_instances 997 [109,99,161,148,79,96,117,102,86] number_of_instances 997 [110,99,162,147,78,96,117,102,86] number_of_instances 997 [110,99,162,147,78,96,117,102,86] number_of_instances 997 [109,99,162,148,78,96,117,102,86] number_of_instances 997 [110,99,161,148,79,96,117,101,86] number_of_instances 997 [110,99,161,148,78,96,117,101,87] number_of_instances 997 [109,99,161,147,79,97,117,102,86] number_of_instances 997 [110,99,161,148,78,96,117,101,87] number_of_instances 997 [109,100,162,148,78,96,117,101,86] number_of_instances 997 [109,99,162,147,79,96,117,101,87] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,100,161,147,78,96,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [109,100,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,100,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [109,100,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,96,117,101,87] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,79,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,100,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [109,99,162,147,78,96,117,101,87] number_of_instances 996 [109,99,162,147,78,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,162,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,96,117,102,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,161,147,78,97,117,102,86] number_of_instances 996 [109,99,162,147,78,96,117,102,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,162,147,78,97,117,101,86] number_of_instances 996 [109,99,162,147,78,96,117,101,87] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [109,99,161,147,78,97,117,101,87] number_of_instances 996 [109,99,161,148,78,97,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,100,161,147,78,97,117,101,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,96,117,101,87] number_of_instances 996 [109,99,162,147,78,96,117,102,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,148,78,96,117,102,86] number_of_instances 996 [109,100,161,147,78,97,117,101,86] number_of_instances 996 [109,100,161,147,78,96,117,101,87] number_of_instances 996 [109,100,161,147,78,96,117,101,87] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,147,79,97,117,101,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,147,79,97,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [109,99,162,148,78,96,117,101,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] precision 0.91974 [0.95098,0.884615,0.939024,0.945946,0.9625,1,0.934959,0.857143,0.764045] precision 0.928416 [0.971429,0.955556,0.95679,0.925676,0.927711,0.979592,0.958678,0.833333,0.808511] precision 0.919176 [0.969697,0.90099,0.921687,0.926174,0.9125,0.989474,0.982456,0.803738,0.837209] precision 0.92304 [0.951923,0.850467,0.95122,0.917808,0.950617,1,0.974138,0.831579,0.853933] precision 0.939158 [0.929204,0.957895,0.946108,0.933775,0.961538,0.989583,0.975,0.895833,0.851852] precision 0.920461 [0.915888,0.895238,0.968553,0.903846,0.936709,0.979381,0.974359,0.892857,0.774194] precision 0.937282 [0.929825,0.948454,0.952096,0.959459,0.935065,1,0.957983,0.875,0.845238] precision 0.937886 [0.960784,0.9375,0.95679,0.915584,0.917647,1,0.97479,0.877551,0.882353] precision 0.925972 [0.951923,0.861111,0.95679,0.932432,0.904762,1,0.966667,0.88764,0.825581] precision 0.927191 [0.941748,0.92233,0.950311,0.932886,0.901235,0.989583,0.974138,0.864583,0.826087] precision 0.916567 [0.92381,0.901961,0.955696,0.917197,0.949367,0.989247,0.965517,0.83871,0.763441] precision 0.919096 [0.95098,0.931373,0.950617,0.965517,0.911392,0.969388,0.956522,0.804124,0.760417] precision 0.92418 [0.917431,0.956522,0.922156,0.941935,0.949367,0.979167,0.958678,0.863636,0.808989] precision 0.924518 [0.944444,0.924731,0.916667,0.926174,0.902439,0.989583,0.974576,0.876289,0.847059] precision 0.910574 [0.957447,0.862385,0.94375,0.915033,0.947368,0.959596,0.964912,0.8125,0.789474] precision 0.935084 [0.934579,0.957447,0.94012,0.933775,0.9125,0.979167,0.991453,0.904255,0.833333] precision 0.929495 [0.970874,0.915789,0.957055,0.888199,0.924051,0.989583,0.974138,0.877778,0.849462] precision 0.925282 [0.953271,0.920792,0.904762,0.959184,0.924051,0.979381,0.966102,0.852632,0.845238] precision 0.923241 [0.953704,0.892157,0.961783,0.928105,0.924051,1,0.966102,0.852632,0.777778] precision 0.9171 [0.920792,0.913462,0.955414,0.939597,0.879518,0.979381,0.933884,0.895833,0.772727] precision 0.922085 [0.95098,0.929293,0.955696,0.919463,0.904762,0.979381,0.983193,0.784314,0.848837] precision 0.937148 [0.936937,0.92,0.945122,0.959459,0.936709,0.989691,0.982906,0.854167,0.880952] precision 0.918675 [0.961538,0.867925,0.916667,0.929577,0.903614,0.969388,0.991379,0.827957,0.872093] precision 0.937628 [0.961905,0.910891,0.975309,0.92053,1,0.979167,0.95082,0.876289,0.847059] precision 0.920482 [0.917431,0.893204,0.934524,0.965035,0.925,1,0.982906,0.818182,0.795181] precision 0.921888 [0.971429,0.866667,0.921687,0.909677,0.938272,0.989583,0.957265,0.894118,0.837209] precision 0.913854 [0.944444,0.869159,0.938272,0.9375,0.865854,1,0.974359,0.831579,0.802326] precision 0.920939 [0.908257,0.968421,0.933333,0.959459,0.935897,0.989691,0.974138,0.79,0.784091] precision 0.928331 [0.971154,0.867925,0.95625,0.944444,0.961039,0.989474,0.957983,0.865979,0.797872] precision 0.930908 [0.934579,0.918367,0.927711,0.945946,0.986667,0.989583,0.942149,0.884211,0.844444] precision 0.941764 [0.954128,0.947917,0.957055,0.966216,0.916667,0.989474,0.965812,0.877551,0.860465] precision 0.921982 [0.924528,0.891089,0.939024,0.964539,0.9125,0.969388,0.974576,0.831776,0.839506] precision 0.938728 [0.961165,0.90566,0.968553,0.952381,0.910256,0.96875,0.983193,0.927835,0.813187] precision 0.925685 [0.916667,0.87963,0.9625,0.971631,0.925,0.989691,0.942623,0.863158,0.823529] precision 0.923889 [0.95,0.958763,0.928571,0.921053,0.911392,0.969697,0.966102,0.896552,0.78125] precision 0.936436 [0.962963,0.902913,0.939759,0.958333,0.9625,0.989583,0.974576,0.85567,0.857143] precision 0.928279 [0.924528,0.92,0.967532,0.952055,0.914634,0.979381,0.975,0.84466,0.818182] precision 0.925392 [0.962963,0.927083,0.950617,0.927632,0.901235,0.989583,0.966102,0.835052,0.825581] precision 0.921185 [0.933962,0.909091,0.922156,0.933333,0.925926,0.989583,0.974359,0.84375,0.833333] precision 0.931038 [0.951923,0.929293,0.95122,0.939597,0.936709,0.979381,0.974138,0.819048,0.86747] precision 0.931371 [0.943925,0.938144,0.940476,0.921569,0.949367,0.989474,0.974138,0.851064,0.862069] precision 0.918364 [0.934579,0.852941,0.945455,0.931507,0.927711,0.979592,0.983051,0.876404,0.784091] precision 0.912132 [0.951456,0.88,0.927273,0.938356,0.879518,0.989691,0.965517,0.824742,0.797753] precision 0.93982 [0.932692,0.959184,0.96875,0.953642,0.915663,0.979381,0.991304,0.904255,0.797872] precision 0.931719 [0.972477,0.929293,0.901734,0.951389,0.936709,0.959596,0.965812,0.9,0.860465] precision 0.935444 [0.943396,0.9,0.968553,0.931507,0.925926,0.989362,0.975,0.894737,0.852632] precision 0.923286 [0.979798,0.894231,0.944099,0.945578,0.96,0.989691,0.92562,0.85,0.782609] precision 0.924478 [0.952381,0.827273,0.956522,0.950355,0.9375,0.979381,0.943089,0.904762,0.821053] precision 0.917133 [0.911504,0.908163,0.934132,0.930556,0.9,0.989583,0.966102,0.85567,0.819277] precision 0.921072 [0.918182,0.90099,0.928571,0.943662,0.904762,0.989691,0.982906,0.83871,0.845238] precision 0.922092 [0.942857,0.845455,0.955975,0.912752,0.948718,0.989691,0.974576,0.842105,0.858824] precision 0.941219 [0.962264,0.929293,0.980769,0.952055,0.9625,0.979592,0.966667,0.833333,0.865169] precision 0.916394 [0.95283,0.886598,0.949045,0.919463,0.927711,0.989691,0.991379,0.79,0.791209] precision 0.929658 [0.95283,0.958333,0.918129,0.913907,0.9125,0.969388,0.991071,0.913043,0.822222] precision 0.935724 [0.952381,0.919192,0.95625,0.933333,0.962025,0.979167,0.950413,0.87,0.883721] precision 0.92813 [0.944444,0.9375,0.928571,0.92,0.91358,1,0.942623,0.879121,0.879518] precision 0.929286 [0.90991,0.926316,0.952096,0.945578,0.882353,1,0.974576,0.857143,0.873418] precision 0.935889 [0.951456,0.910891,0.95122,0.945205,0.922078,0.989796,0.957627,0.87619,0.892857] precision 0.930108 [0.935185,0.92,0.939759,0.921569,0.949367,1,0.958333,0.858696,0.880952] precision 0.931723 [0.944444,0.89899,0.96875,0.934211,0.916667,0.979798,0.982759,0.9,0.806818] precision 0.920422 [0.908257,0.902913,0.956522,0.939189,0.9,0.959184,0.974576,0.880435,0.804598] precision 0.93289 [0.961538,0.911765,0.921212,0.933333,0.961039,1,0.957983,0.905263,0.83908] precision 0.934358 [0.952381,0.929293,0.969325,0.939597,0.936709,1,0.966387,0.88172,0.784946] precision 0.920237 [0.960784,0.956044,0.927273,0.946309,0.925926,0.979592,0.943089,0.819149,0.784946] precision 0.914897 [0.936364,0.894231,0.939759,0.937063,0.935897,1,0.942149,0.835052,0.771084] precision 0.917667 [0.969697,0.9,0.934524,0.914474,0.910256,1,0.94958,0.863158,0.78022] precision 0.922508 [0.932692,0.927083,0.934524,0.932432,0.894118,0.989474,0.966102,0.85,0.841463] precision 0.915768 [0.934579,0.864078,0.968553,0.905405,0.883721,0.979167,0.957983,0.861702,0.833333] precision 0.924063 [0.95283,0.90099,0.936306,0.944444,0.950617,0.989583,0.958333,0.823529,0.831461] precision 0.916505 [0.93578,0.9,0.927711,0.913333,0.950617,1,0.982456,0.824176,0.788889] precision 0.93258 [0.961905,0.885417,0.911765,0.971631,0.973684,1,0.958678,0.838095,0.883721] precision 0.926611 [0.971698,0.882353,0.956522,0.891026,0.948052,1,0.931624,0.846154,0.911111] precision 0.933085 [0.970588,0.897959,0.95679,0.922581,0.916667,1,0.942149,0.908046,0.857143] precision 0.917536 [0.928571,0.872549,0.957055,0.896104,0.945946,1,0.974138,0.831579,0.823529] precision 0.931272 [0.971154,0.920792,0.962733,0.922078,0.892857,0.979798,0.950413,0.88764,0.855422] precision 0.926578 [0.927273,0.907216,0.95625,0.945205,0.961039,0.979167,0.973913,0.825243,0.826087] precision 0.923641 [0.961905,0.917526,0.913295,0.88961,0.973333,0.969697,0.982759,0.864583,0.851852] precision 0.916018 [0.951456,0.918367,0.938272,0.927152,0.916667,0.979381,0.958678,0.794118,0.820513] precision 0.915204 [0.941176,0.893204,0.957055,0.917808,0.927711,0.958763,0.941667,0.831579,0.827586] precision 0.9265 [0.942857,0.941176,0.944785,0.958904,0.910256,0.989583,0.95082,0.85567,0.793103] precision 0.928264 [0.962617,0.91,0.927711,0.944828,0.935897,0.979592,0.958678,0.84,0.876543] precision 0.914564 [0.935185,0.861111,0.92638,0.931507,0.882353,0.989583,0.94958,0.865169,0.853659] precision 0.930711 [0.93578,0.884615,0.928994,0.932886,0.916667,1,0.982456,0.9,0.878049] precision 0.927967 [0.960396,0.90099,0.968153,0.952055,0.938272,0.989583,0.95,0.823529,0.815217] precision 0.933999 [0.961165,0.885714,0.950617,0.944444,0.926829,0.989796,0.974359,0.88,0.858824] precision 0.920619 [0.943925,0.91,0.922156,0.958333,0.888889,0.969388,0.957265,0.833333,0.8625] precision 0.921918 [0.943925,0.884615,0.974359,0.907895,0.934211,0.979167,0.942149,0.846939,0.848837] precision 0.931059 [0.971698,0.911765,0.934524,0.95302,0.949367,0.969072,0.974359,0.858696,0.825581] precision 0.937041 [0.961165,0.969697,0.929825,0.952381,0.923077,0.979592,0.974359,0.891304,0.824176] precision 0.919579 [0.927273,0.881188,0.957317,0.952055,0.959459,0.989474,0.958333,0.782178,0.823529] precision 0.923641 [0.954128,0.881188,0.961538,0.931973,0.855422,1,0.982759,0.823529,0.862069] precision 0.926354 [0.960784,0.920792,0.91954,0.931973,0.948052,0.969388,0.991453,0.844444,0.833333] precision 0.918136 [0.910714,0.902913,0.955696,0.943662,0.925926,0.969388,0.935484,0.823529,0.855263] precision 0.91382 [0.925234,0.910891,0.928144,0.945946,0.891566,0.979167,0.934426,0.860465,0.802326] precision 0.913324 [0.933333,0.838095,0.96732,0.901316,0.885057,0.979381,0.966102,0.865979,0.829268] precision 0.935759 [0.938053,0.888889,0.974359,0.956835,0.961538,0.989583,0.974359,0.84466,0.848837] precision 0.921211 [0.951456,0.87156,0.939394,0.956522,0.903614,1,0.991304,0.829787,0.784946] precision 0.930807 [0.952381,0.911765,0.952096,0.951389,0.910256,0.989691,0.958333,0.893617,0.808989] precision 0.936663 [0.943396,0.878788,0.962733,0.971429,0.939024,0.979592,0.991379,0.830189,0.886364] precision 0.930075 [0.953271,0.873786,0.939394,0.939597,0.902439,0.979592,0.982609,0.905882,0.858696] predictive_accuracy 0.919759 predictive_accuracy 0.927783 predictive_accuracy 0.917753 predictive_accuracy 0.922768 predictive_accuracy 0.939819 predictive_accuracy 0.919759 predictive_accuracy 0.937813 predictive_accuracy 0.937813 predictive_accuracy 0.925777 predictive_accuracy 0.92678 predictive_accuracy 0.915663 predictive_accuracy 0.917671 predictive_accuracy 0.924699 predictive_accuracy 0.924699 predictive_accuracy 0.908635 predictive_accuracy 0.934739 predictive_accuracy 0.928715 predictive_accuracy 0.925703 predictive_accuracy 0.922691 predictive_accuracy 0.916667 predictive_accuracy 0.921687 predictive_accuracy 0.937751 predictive_accuracy 0.918675 predictive_accuracy 0.937751 predictive_accuracy 0.920683 predictive_accuracy 0.921687 predictive_accuracy 0.913655 predictive_accuracy 0.920683 predictive_accuracy 0.926707 predictive_accuracy 0.930723 predictive_accuracy 0.941767 predictive_accuracy 0.921687 predictive_accuracy 0.937751 predictive_accuracy 0.925703 predictive_accuracy 0.922691 predictive_accuracy 0.936747 predictive_accuracy 0.927711 predictive_accuracy 0.925703 predictive_accuracy 0.921687 predictive_accuracy 0.930723 predictive_accuracy 0.931727 predictive_accuracy 0.918675 predictive_accuracy 0.911647 predictive_accuracy 0.938755 predictive_accuracy 0.931727 predictive_accuracy 0.934739 predictive_accuracy 0.921687 predictive_accuracy 0.922691 predictive_accuracy 0.917671 predictive_accuracy 0.921687 predictive_accuracy 0.921687 predictive_accuracy 0.940763 predictive_accuracy 0.915663 predictive_accuracy 0.928715 predictive_accuracy 0.935743 predictive_accuracy 0.928715 predictive_accuracy 0.929719 predictive_accuracy 0.935743 predictive_accuracy 0.930723 predictive_accuracy 0.931727 predictive_accuracy 0.920683 predictive_accuracy 0.932731 predictive_accuracy 0.933735 predictive_accuracy 0.919679 predictive_accuracy 0.915663 predictive_accuracy 0.916667 predictive_accuracy 0.922691 predictive_accuracy 0.915663 predictive_accuracy 0.923695 predictive_accuracy 0.916667 predictive_accuracy 0.931727 predictive_accuracy 0.926707 predictive_accuracy 0.932731 predictive_accuracy 0.917671 predictive_accuracy 0.931727 predictive_accuracy 0.925703 predictive_accuracy 0.923695 predictive_accuracy 0.916667 predictive_accuracy 0.915663 predictive_accuracy 0.926707 predictive_accuracy 0.928715 predictive_accuracy 0.914659 predictive_accuracy 0.930723 predictive_accuracy 0.926707 predictive_accuracy 0.933735 predictive_accuracy 0.920683 predictive_accuracy 0.921687 predictive_accuracy 0.931727 predictive_accuracy 0.936747 predictive_accuracy 0.919679 predictive_accuracy 0.922691 predictive_accuracy 0.926707 predictive_accuracy 0.918675 predictive_accuracy 0.914659 predictive_accuracy 0.912651 predictive_accuracy 0.934739 predictive_accuracy 0.919679 predictive_accuracy 0.930723 predictive_accuracy 0.935743 predictive_accuracy 0.929719 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 prior_entropy 3.132137 recall 0.919759 [0.889908,0.929293,0.956522,0.945946,0.974684,1,0.982906,0.764706,0.790698] recall 0.927783 [0.927273,0.868687,0.95679,0.931973,0.987179,1,0.991453,0.784314,0.883721] recall 0.917753 [0.872727,0.919192,0.944444,0.938776,0.935897,0.979167,0.957265,0.843137,0.837209] recall 0.922768 [0.908257,0.919192,0.962963,0.905405,0.987179,0.989583,0.965812,0.77451,0.883721] recall 0.939819 [0.954545,0.919192,0.981366,0.952703,0.949367,0.989583,1,0.851485,0.802326] recall 0.919759 [0.890909,0.949495,0.956522,0.952703,0.948718,0.989583,0.974359,0.742574,0.827586] recall 0.937813 [0.972477,0.929293,0.987578,0.965986,0.911392,0.979381,0.974359,0.823529,0.825581] recall 0.937813 [0.890909,0.909091,0.962733,0.952703,1,1,0.991453,0.851485,0.862069] recall 0.925777 [0.908257,0.93,0.95679,0.932432,0.974359,1,0.991453,0.782178,0.825581] recall 0.92678 [0.889908,0.959596,0.944444,0.945578,0.924051,0.989583,0.965812,0.821782,0.873563] recall 0.915663 [0.889908,0.929293,0.937888,0.972973,0.949367,0.958333,0.957265,0.772277,0.825581] recall 0.917671 [0.881818,0.959596,0.950617,0.952381,0.923077,0.989583,0.940171,0.772277,0.848837] recall 0.924699 [0.909091,0.888889,0.950617,0.993197,0.961538,0.979167,0.991453,0.752475,0.837209] recall 0.924699 [0.93578,0.868687,0.956522,0.932432,0.936709,0.989583,0.982906,0.841584,0.837209] recall 0.908635 [0.818182,0.949495,0.937888,0.945946,0.923077,0.989583,0.940171,0.772277,0.872093] recall 0.934739 [0.909091,0.9,0.975155,0.959184,0.935897,0.979167,0.991453,0.841584,0.872093] recall 0.928715 [0.917431,0.878788,0.968944,0.966216,0.935897,0.979381,0.965812,0.782178,0.918605] recall 0.925703 [0.927273,0.939394,0.944099,0.952703,0.935897,0.989583,0.974359,0.80198,0.825581] recall 0.922691 [0.936364,0.919192,0.937888,0.965986,0.924051,0.979167,0.974359,0.80198,0.813953] recall 0.916667 [0.853211,0.95,0.925926,0.952381,0.935897,0.989583,0.965812,0.851485,0.790698] recall 0.921687 [0.881818,0.929293,0.937888,0.925676,0.974359,0.989583,1,0.792079,0.848837] recall 0.937751 [0.945455,0.929293,0.95679,0.965986,0.948718,1,0.982906,0.811881,0.860465] recall 0.918675 [0.909091,0.929293,0.950617,0.897959,0.961538,0.989583,0.982906,0.762376,0.872093] recall 0.937751 [0.926606,0.92,0.981366,0.945578,0.974684,0.979167,0.991453,0.841584,0.837209] recall 0.920683 [0.909091,0.929293,0.975155,0.932432,0.948718,0.979167,0.982906,0.80198,0.767442] recall 0.921687 [0.927273,0.919192,0.950311,0.959184,0.962025,0.989583,0.957265,0.752475,0.837209] recall 0.913655 [0.93578,0.93,0.944099,0.912162,0.910256,0.989583,0.974359,0.782178,0.802326] recall 0.920683 [0.9,0.929293,0.956522,0.959459,0.935897,1,0.965812,0.782178,0.802326] recall 0.926707 [0.918182,0.929293,0.950311,0.92517,0.936709,0.979167,0.974359,0.831683,0.872093] recall 0.930723 [0.909091,0.909091,0.950617,0.952381,0.948718,0.989583,0.974359,0.831683,0.883721] recall 0.941767 [0.945455,0.919192,0.962963,0.972789,0.987179,0.979167,0.965812,0.851485,0.860465] recall 0.921687 [0.890909,0.909091,0.950617,0.92517,0.935897,0.989583,0.982906,0.881188,0.790698] recall 0.937751 [0.9,0.969697,0.950617,0.952381,0.910256,0.96875,1,0.891089,0.860465] recall 0.925703 [0.9,0.959596,0.956522,0.931973,0.948718,1,0.982906,0.811881,0.804598] recall 0.922691 [0.863636,0.939394,0.962963,0.952381,0.923077,1,0.974359,0.772277,0.872093] recall 0.936747 [0.945455,0.939394,0.968944,0.938776,0.974684,0.989583,0.982906,0.821782,0.837209] recall 0.927711 [0.890909,0.929293,0.925466,0.939189,0.961538,0.989583,1,0.861386,0.837209] recall 0.925703 [0.945455,0.89899,0.956522,0.959184,0.924051,0.989583,0.974359,0.80198,0.825581] recall 0.921687 [0.9,0.909091,0.956522,0.952381,0.961538,0.979381,0.974359,0.80198,0.813953] recall 0.930723 [0.9,0.929293,0.962963,0.952381,0.948718,0.989583,0.965812,0.851485,0.837209] recall 0.931727 [0.918182,0.919192,0.975309,0.959184,0.961538,0.979167,0.965812,0.792079,0.872093] recall 0.918675 [0.909091,0.878788,0.968944,0.92517,0.974684,1,0.991453,0.772277,0.802326] recall 0.911647 [0.890909,0.888889,0.950311,0.931973,0.935897,0.989691,0.957265,0.792079,0.825581] recall 0.938755 [0.881818,0.949495,0.962733,0.979592,0.974359,0.979381,0.974359,0.841584,0.872093] recall 0.931727 [0.963636,0.929293,0.962963,0.931973,0.948718,0.989583,0.965812,0.80198,0.860465] recall 0.934739 [0.909091,0.909091,0.956522,0.92517,0.961538,0.958763,1,0.841584,0.94186] recall 0.921687 [0.881818,0.939394,0.938272,0.945578,0.923077,1,0.957265,0.841584,0.837209] recall 0.922691 [0.909091,0.919192,0.956522,0.911565,0.949367,0.989583,0.991453,0.752475,0.906977] recall 0.917671 [0.936364,0.89899,0.968944,0.911565,0.923077,0.979381,0.974359,0.821782,0.790698] recall 0.921687 [0.918182,0.919192,0.968944,0.911565,0.974359,0.989691,0.982906,0.772277,0.825581] recall 0.921687 [0.9,0.939394,0.938272,0.92517,0.948718,1,0.982906,0.792079,0.848837] recall 0.940763 [0.927273,0.929293,0.950311,0.945578,0.974684,1,0.991453,0.841584,0.895349] recall 0.915663 [0.918182,0.868687,0.925466,0.931973,0.987179,0.989691,0.982906,0.782178,0.837209] recall 0.928715 [0.918182,0.929293,0.975155,0.938776,0.935897,0.979381,0.948718,0.831683,0.860465] recall 0.935743 [0.909091,0.919192,0.944444,0.952381,0.974359,0.979167,0.982906,0.861386,0.883721] recall 0.928715 [0.927273,0.909091,0.968944,0.938776,0.948718,1,0.982906,0.792079,0.848837] recall 0.929719 [0.918182,0.888889,0.981481,0.945578,0.961538,1,0.982906,0.831683,0.802326] recall 0.935743 [0.899083,0.92,0.968944,0.938776,0.910256,1,0.965812,0.910891,0.872093] recall 0.930723 [0.918182,0.929293,0.968944,0.959184,0.961538,0.969072,0.982906,0.782178,0.860465] recall 0.931727 [0.927273,0.89899,0.962733,0.965986,0.987179,1,0.974359,0.80198,0.825581] recall 0.920683 [0.9,0.939394,0.950617,0.945578,0.923077,0.979167,0.982906,0.80198,0.813953] recall 0.932731 [0.917431,0.939394,0.944099,0.945946,0.948718,1,0.974359,0.851485,0.848837] recall 0.933735 [0.917431,0.929293,0.981366,0.945946,0.948718,0.989691,0.982906,0.811881,0.848837] recall 0.919679 [0.890909,0.878788,0.950311,0.959184,0.961538,0.989691,0.991453,0.762376,0.848837] recall 0.915663 [0.944954,0.939394,0.962963,0.911565,0.935897,0.979167,0.974359,0.80198,0.735632] recall 0.916667 [0.880734,0.909091,0.969136,0.945578,0.910256,0.969072,0.965812,0.811881,0.825581] recall 0.922691 [0.881818,0.89899,0.969136,0.938776,0.974359,0.979167,0.974359,0.841584,0.802326] recall 0.915663 [0.917431,0.89899,0.950617,0.911565,0.974359,0.969072,0.974359,0.80198,0.813953] recall 0.923695 [0.918182,0.919192,0.913043,0.92517,0.987179,0.989583,0.982906,0.823529,0.860465] recall 0.916667 [0.927273,0.909091,0.956522,0.931973,0.987179,0.979381,0.957265,0.742574,0.825581] recall 0.931727 [0.918182,0.858586,0.962733,0.931973,0.948718,0.989691,0.991453,0.871287,0.883721] recall 0.926707 [0.944954,0.909091,0.956522,0.939189,0.935897,0.989691,0.931624,0.762376,0.953488] recall 0.932731 [0.908257,0.888889,0.962733,0.966216,0.974684,1,0.974359,0.782178,0.906977] recall 0.917671 [0.945455,0.89899,0.962963,0.938776,0.897436,0.989583,0.965812,0.782178,0.813953] recall 0.931727 [0.926606,0.939394,0.962733,0.965986,0.961538,1,0.982906,0.77451,0.825581] recall 0.925703 [0.93578,0.888889,0.944444,0.938776,0.948718,0.979167,0.957265,0.833333,0.883721] recall 0.923695 [0.918182,0.89899,0.975309,0.931973,0.935897,1,0.974359,0.821782,0.802326] recall 0.916667 [0.899083,0.909091,0.938272,0.952381,0.987179,0.979381,0.991453,0.80198,0.744186] recall 0.915663 [0.880734,0.929293,0.962963,0.911565,0.987179,0.96875,0.965812,0.782178,0.827586] recall 0.926707 [0.9,0.969697,0.956522,0.945946,0.910256,0.989583,0.991453,0.821782,0.802326] recall 0.928715 [0.944954,0.919192,0.956522,0.931973,0.935897,0.989691,0.991453,0.831683,0.816092] recall 0.914659 [0.926606,0.939394,0.937888,0.918919,0.961538,0.979381,0.965812,0.762376,0.813953] recall 0.930723 [0.93578,0.929293,0.975155,0.939189,0.974684,0.989583,0.957265,0.80198,0.837209] recall 0.926707 [0.881818,0.919192,0.938272,0.945578,0.974359,0.989583,0.974359,0.831683,0.872093] recall 0.933735 [0.908257,0.93,0.956522,0.92517,0.974359,1,0.974359,0.871287,0.848837] recall 0.920683 [0.926606,0.919192,0.950617,0.932432,0.923077,0.989583,0.957265,0.841584,0.802326] recall 0.921687 [0.918182,0.929293,0.944099,0.938776,0.910256,0.979167,0.974359,0.821782,0.83908] recall 0.931727 [0.944954,0.939394,0.969136,0.965986,0.961538,0.979167,0.974359,0.77451,0.825581] recall 0.936747 [0.908257,0.969697,0.981481,0.945946,0.923077,1,0.974359,0.811881,0.872093] recall 0.919679 [0.93578,0.89899,0.975155,0.939189,0.910256,0.979167,0.982906,0.77451,0.813953] recall 0.922691 [0.954128,0.89,0.931677,0.931973,0.910256,0.979381,0.974359,0.831683,0.872093] recall 0.926707 [0.899083,0.93,0.993789,0.931973,0.935897,0.989583,0.991453,0.752475,0.862069] recall 0.918675 [0.93578,0.93,0.937888,0.911565,0.961538,0.989583,0.991453,0.831683,0.747126] recall 0.914659 [0.908257,0.929293,0.95679,0.945946,0.948718,0.979167,0.974359,0.732673,0.802326] recall 0.912651 [0.899083,0.888889,0.919255,0.931973,0.974684,0.979381,0.974359,0.831683,0.790698] recall 0.934739 [0.972477,0.969697,0.938272,0.898649,0.961538,0.989583,0.974359,0.861386,0.848837] recall 0.919679 [0.899083,0.959596,0.962733,0.897959,0.949367,0.989691,0.974359,0.772277,0.848837] recall 0.930723 [0.909091,0.939394,0.981481,0.931973,0.910256,1,0.982906,0.831683,0.837209] recall 0.935743 [0.917431,0.878788,0.95679,0.918919,0.987179,1,0.982906,0.871287,0.906977] recall 0.929719 [0.93578,0.909091,0.962733,0.945946,0.936709,1,0.965812,0.762376,0.918605] relative_absolute_error 0.128116 relative_absolute_error 0.133499 relative_absolute_error 0.125835 relative_absolute_error 0.122815 relative_absolute_error 0.107065 relative_absolute_error 0.12306 relative_absolute_error 0.106274 relative_absolute_error 0.116129 relative_absolute_error 0.125166 relative_absolute_error 0.129229 relative_absolute_error 0.125841 relative_absolute_error 0.134761 relative_absolute_error 0.123883 relative_absolute_error 0.124783 relative_absolute_error 0.132191 relative_absolute_error 0.120788 relative_absolute_error 0.126552 relative_absolute_error 0.125332 relative_absolute_error 0.129621 relative_absolute_error 0.130236 relative_absolute_error 0.125242 relative_absolute_error 0.112125 relative_absolute_error 0.127714 relative_absolute_error 0.110634 relative_absolute_error 0.128241 relative_absolute_error 0.127126 relative_absolute_error 0.131157 relative_absolute_error 0.124932 relative_absolute_error 0.122904 relative_absolute_error 0.12343 relative_absolute_error 0.108378 relative_absolute_error 0.124454 relative_absolute_error 0.109219 relative_absolute_error 0.119141 relative_absolute_error 0.126609 relative_absolute_error 0.111114 relative_absolute_error 0.125956 relative_absolute_error 0.120028 relative_absolute_error 0.120963 relative_absolute_error 0.116154 relative_absolute_error 0.115023 relative_absolute_error 0.125398 relative_absolute_error 0.143549 relative_absolute_error 0.114651 relative_absolute_error 0.123443 relative_absolute_error 0.108034 relative_absolute_error 0.120671 relative_absolute_error 0.124602 relative_absolute_error 0.131671 relative_absolute_error 0.123414 relative_absolute_error 0.128807 relative_absolute_error 0.109869 relative_absolute_error 0.133298 relative_absolute_error 0.121958 relative_absolute_error 0.113933 relative_absolute_error 0.118601 relative_absolute_error 0.114326 relative_absolute_error 0.110511 relative_absolute_error 0.119166 relative_absolute_error 0.114595 relative_absolute_error 0.128248 relative_absolute_error 0.115417 relative_absolute_error 0.110922 relative_absolute_error 0.122113 relative_absolute_error 0.130294 relative_absolute_error 0.130524 relative_absolute_error 0.120237 relative_absolute_error 0.138974 relative_absolute_error 0.121286 relative_absolute_error 0.132453 relative_absolute_error 0.120743 relative_absolute_error 0.12716 relative_absolute_error 0.114272 relative_absolute_error 0.131571 relative_absolute_error 0.114395 relative_absolute_error 0.125953 relative_absolute_error 0.122724 relative_absolute_error 0.131016 relative_absolute_error 0.128345 relative_absolute_error 0.120125 relative_absolute_error 0.116552 relative_absolute_error 0.124704 relative_absolute_error 0.119608 relative_absolute_error 0.120523 relative_absolute_error 0.11222 relative_absolute_error 0.129234 relative_absolute_error 0.122589 relative_absolute_error 0.117371 relative_absolute_error 0.111554 relative_absolute_error 0.124828 relative_absolute_error 0.129185 relative_absolute_error 0.11912 relative_absolute_error 0.127155 relative_absolute_error 0.132431 relative_absolute_error 0.135058 relative_absolute_error 0.116731 relative_absolute_error 0.127661 relative_absolute_error 0.1235 relative_absolute_error 0.110347 relative_absolute_error 0.125303 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313184 root_mean_prior_squared_error 0.313184 root_mean_prior_squared_error 0.31317 root_mean_prior_squared_error 0.313197 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313218 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313171 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313182 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313212 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313187 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313208 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313186 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.3132 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313201 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313204 root_mean_prior_squared_error 0.313181 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.313186 root_mean_prior_squared_error 0.313183 root_mean_prior_squared_error 0.31321 root_mean_prior_squared_error 0.313188 root_mean_prior_squared_error 0.313194 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313181 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313186 root_mean_prior_squared_error 0.313205 root_mean_prior_squared_error 0.313209 root_mean_prior_squared_error 0.313209 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313213 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313213 root_mean_prior_squared_error 0.313178 root_mean_prior_squared_error 0.313165 root_mean_prior_squared_error 0.313194 root_mean_squared_error 0.113059 root_mean_squared_error 0.112625 root_mean_squared_error 0.113711 root_mean_squared_error 0.110305 root_mean_squared_error 0.099335 root_mean_squared_error 0.113774 root_mean_squared_error 0.099393 root_mean_squared_error 0.104042 root_mean_squared_error 0.111269 root_mean_squared_error 0.110271 root_mean_squared_error 0.113546 root_mean_squared_error 0.11761 root_mean_squared_error 0.110598 root_mean_squared_error 0.113751 root_mean_squared_error 0.115059 root_mean_squared_error 0.108181 root_mean_squared_error 0.113203 root_mean_squared_error 0.114372 root_mean_squared_error 0.112782 root_mean_squared_error 0.115777 root_mean_squared_error 0.112057 root_mean_squared_error 0.102439 root_mean_squared_error 0.114557 root_mean_squared_error 0.101189 root_mean_squared_error 0.113431 root_mean_squared_error 0.113022 root_mean_squared_error 0.114978 root_mean_squared_error 0.112169 root_mean_squared_error 0.110097 root_mean_squared_error 0.108404 root_mean_squared_error 0.099979 root_mean_squared_error 0.111323 root_mean_squared_error 0.101486 root_mean_squared_error 0.107308 root_mean_squared_error 0.11297 root_mean_squared_error 0.102025 root_mean_squared_error 0.111577 root_mean_squared_error 0.10794 root_mean_squared_error 0.110106 root_mean_squared_error 0.107891 root_mean_squared_error 0.103105 root_mean_squared_error 0.112972 root_mean_squared_error 0.124048 root_mean_squared_error 0.104062 root_mean_squared_error 0.111838 root_mean_squared_error 0.100021 root_mean_squared_error 0.110652 root_mean_squared_error 0.109986 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