329199 2 Joaquin Vanschoren 4215 Supervised Classification predictive_accuracy 1172 weka.LibSVM(2) 1924 weka.classifiers.functions.LibSVM -- -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -model /Users/joa/Downloads/weka-3-7-12 -seed 1 S 0 1172 K 2 1172 D 3 1172 G 0.0 1172 R 0.0 1172 C 1.0 1172 N 0.5 1172 P 0.1 1172 M 40.0 1172 E 0.001 1172 model /Users/joa/Downloads/weka-3-7-12 1172 seed 1 1172 weka weka_3.7.12 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 1125662 description https://api.openml.org/data/download/1125662/weka_generated_run5037035183775332124.xml -1 1125665 model_readable https://api.openml.org/data/download/1125665/WekaModel_weka.classifiers.functions.LibSVM2667952821315891087.model -1 1125664 model_serialized https://api.openml.org/data/download/1125664/WekaSerialized_weka.classifiers.functions.LibSVM8276242392708792648.model -1 1125663 predictions https://api.openml.org/data/download/1125663/weka_generated_predictions6249503646979248290.arff area_under_roc_curve 0.94477 [0.967079,0.935122,0.943653,0.966092,0.951195,0.980442,0.971461,0.885895,0.880221] average_cost 0 f_measure 0.901807 [0.91874,0.893384,0.910141,0.926122,0.924179,0.953536,0.953187,0.798428,0.806118] kappa 0.889346 kb_relative_information_score 89108.775055 mean_absolute_error 0.021698 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 0.902018 [0.890755,0.906945,0.917359,0.90363,0.941848,0.939972,0.957959,0.803143,0.840625] predictive_accuracy 0.902359 prior_entropy 3.132137 recall 0.902359 [0.94854,0.880222,0.903036,0.949762,0.907161,0.967497,0.948462,0.793769,0.774332] relative_absolute_error 0.110603 root_mean_prior_squared_error 0.313191 root_mean_squared_error 0.147302 root_relative_squared_error 0.470328 scimark_benchmark 1364.990954 [817.7405200469505, 1012.5880246437401, 547.5481095352231, 1115.9812794988438, 3331.096834563805] total_cost 0 usercpu_time_millis 75810 usercpu_time_millis_testing 55830 usercpu_time_millis_training 19980 area_under_roc_curve 0.940917 [0.968618,0.91251,0.936922,0.955027,0.97305,0.975282,0.977792,0.874532,0.8824] area_under_roc_curve 0.936936 [0.961417,0.901296,0.94274,0.971357,0.950776,0.979935,0.975223,0.869504,0.844223] area_under_roc_curve 0.936442 [0.963144,0.930485,0.933666,0.956114,0.952408,0.967085,0.961835,0.892896,0.849163] area_under_roc_curve 0.9418 [0.957109,0.949534,0.94145,0.970741,0.932089,0.965975,0.967813,0.89122,0.870772] area_under_roc_curve 0.950364 [0.955745,0.93661,0.958179,0.968695,0.96672,0.971184,0.977496,0.910189,0.885144] area_under_roc_curve 0.942038 [0.968817,0.935496,0.941937,0.971918,0.951864,0.976947,0.97095,0.868425,0.864223] area_under_roc_curve 0.948448 [0.971516,0.950648,0.950656,0.971485,0.926567,0.975493,0.984907,0.898483,0.872419] area_under_roc_curve 0.950225 [0.971072,0.944484,0.95735,0.961939,0.952952,0.9816,0.986043,0.897498,0.873266] area_under_roc_curve 0.940039 [0.971516,0.939967,0.926111,0.957382,0.928399,0.985144,0.980633,0.876652,0.876037] area_under_roc_curve 0.943278 [0.976021,0.933826,0.934265,0.956114,0.940859,0.98049,0.971518,0.883763,0.900354] area_under_roc_curve 0.934563 [0.944546,0.940543,0.932123,0.970296,0.940857,0.976389,0.950147,0.902992,0.821505] area_under_roc_curve 0.937777 [0.971096,0.948448,0.924305,0.952705,0.939584,0.98625,0.96781,0.885984,0.846959] area_under_roc_curve 0.947717 [0.969936,0.920341,0.942824,0.984952,0.947629,0.984583,0.967241,0.882709,0.905098] area_under_roc_curve 0.939789 [0.947364,0.924276,0.949559,0.951954,0.952425,0.981597,0.984335,0.865546,0.877128] area_under_roc_curve 0.93343 [0.930751,0.925948,0.95435,0.958822,0.938495,0.952222,0.972084,0.858997,0.871863] area_under_roc_curve 0.935683 [0.958588,0.916094,0.94754,0.966635,0.952405,0.972847,0.966673,0.863947,0.839497] area_under_roc_curve 0.938183 [0.958871,0.904632,0.940618,0.975873,0.923077,0.984685,0.975788,0.907943,0.82677] area_under_roc_curve 0.947713 [0.98072,0.938313,0.931301,0.98322,0.945995,0.987917,0.967241,0.850213,0.930552] area_under_roc_curve 0.947873 [0.971629,0.93887,0.925689,0.974748,0.971957,0.982153,0.967241,0.913452,0.877128] area_under_roc_curve 0.947914 [0.960562,0.940536,0.946509,0.973703,0.940129,0.985694,0.97522,0.911854,0.869116] area_under_roc_curve 0.946079 [0.992099,0.968059,0.937624,0.977802,0.938495,0.965972,0.980631,0.869456,0.850805] area_under_roc_curve 0.944755 [0.969936,0.934377,0.931766,0.983186,0.934263,0.969514,0.977495,0.877759,0.899284] area_under_roc_curve 0.942854 [0.980156,0.945593,0.937428,0.959965,0.957726,0.98625,0.962399,0.858515,0.883491] area_under_roc_curve 0.944714 [0.960562,0.906652,0.946342,0.984952,0.974138,0.981042,0.962399,0.893091,0.866049] area_under_roc_curve 0.949431 [0.988683,0.927621,0.960449,0.985419,0.920354,0.992014,0.959832,0.884308,0.882941] area_under_roc_curve 0.9472 [0.963103,0.931033,0.946231,0.980962,0.95406,0.971736,0.968379,0.864506,0.924189] area_under_roc_curve 0.954364 [0.972555,0.966094,0.940019,0.970296,0.978046,0.983264,0.96183,0.882151,0.938014] area_under_roc_curve 0.950545 [0.989811,0.956809,0.942526,0.96134,0.919809,0.98625,0.980631,0.900277,0.895668] area_under_roc_curve 0.949665 [0.979592,0.96468,0.936914,0.965854,0.928199,0.987361,0.966673,0.901875,0.900933] area_under_roc_curve 0.94529 [0.973918,0.935492,0.93725,0.957609,0.934808,0.981042,0.958694,0.909619,0.907296] area_under_roc_curve 0.940229 [0.98188,0.924834,0.937939,0.96958,0.95186,0.976389,0.956988,0.852448,0.888206] area_under_roc_curve 0.948488 [0.970501,0.954579,0.938538,0.957609,0.985546,0.981597,0.97522,0.88766,0.880974] area_under_roc_curve 0.948725 [0.984137,0.951201,0.939737,0.983186,0.966859,0.987361,0.976357,0.879916,0.842244] area_under_roc_curve 0.945491 [0.973353,0.93887,0.941927,0.944725,0.95295,0.983819,0.964674,0.902434,0.900895] area_under_roc_curve 0.944649 [0.969372,0.934935,0.937339,0.970758,0.953494,0.996111,0.966104,0.880475,0.874061] area_under_roc_curve 0.941511 [0.960281,0.924834,0.953751,0.974748,0.928199,0.974722,0.976357,0.892533,0.842244] area_under_roc_curve 0.941481 [0.968213,0.924834,0.931413,0.970296,0.951316,0.984583,0.96781,0.87824,0.877128] area_under_roc_curve 0.949697 [0.959686,0.928769,0.957943,0.984363,0.957663,0.981597,0.96781,0.876641,0.904549] area_under_roc_curve 0.947085 [0.963103,0.914175,0.95435,0.96958,0.913399,0.98984,0.980062,0.898678,0.906747] area_under_roc_curve 0.94873 [0.974482,0.945593,0.957656,0.967357,0.946539,0.982153,0.967241,0.905227,0.861334] area_under_roc_curve 0.945511 [0.96652,0.88948,0.962541,0.980373,0.959904,0.987014,0.964105,0.883749,0.879325] area_under_roc_curve 0.940633 [0.952883,0.914733,0.953041,0.97815,0.928744,0.989792,0.979493,0.889258,0.830935] area_under_roc_curve 0.92645 [0.956864,0.906895,0.904061,0.953751,0.949682,0.970334,0.955281,0.873212,0.858037] area_under_roc_curve 0.943921 [0.949466,0.930442,0.941217,0.958787,0.957181,0.978974,0.981199,0.903551,0.877128] area_under_roc_curve 0.939952 [0.973918,0.948971,0.947797,0.958919,0.948173,0.958542,0.972084,0.85133,0.871084] area_under_roc_curve 0.946169 [0.94094,0.954579,0.928906,0.966311,0.963591,0.98691,0.983767,0.891493,0.892372] area_under_roc_curve 0.941161 [0.967679,0.960187,0.924216,0.961143,0.909712,0.981597,0.971515,0.897406,0.876578] area_under_roc_curve 0.950189 [0.971065,0.932705,0.95435,0.95702,0.987342,0.971181,0.966673,0.886061,0.919474] area_under_roc_curve 0.945362 [0.969936,0.924276,0.932012,0.974159,0.949682,0.982868,0.974082,0.910736,0.869346] area_under_roc_curve 0.944054 [0.972789,0.936083,0.937025,0.96958,0.959904,0.988022,0.97522,0.864583,0.872962] area_under_roc_curve 0.94727 [0.977868,0.969173,0.932276,0.956564,0.924585,0.996667,0.986334,0.887101,0.878226] area_under_roc_curve 0.945649 [0.955171,0.932148,0.944921,0.958919,0.96148,0.970625,0.975788,0.896925,0.901482] area_under_roc_curve 0.940924 [0.971065,0.922604,0.910871,0.958198,0.947629,0.986354,0.978632,0.8887,0.902901] area_under_roc_curve 0.942601 [0.969372,0.946184,0.926998,0.955975,0.940129,0.989284,0.946443,0.922313,0.878776] area_under_roc_curve 0.954993 [0.981849,0.949529,0.939737,0.975337,0.948173,0.997778,0.971515,0.883268,0.941081] area_under_roc_curve 0.950961 [0.967084,0.952316,0.971298,0.954472,0.944361,0.985798,0.977495,0.86674,0.914209] area_under_roc_curve 0.946508 [0.964827,0.925391,0.958766,0.968078,0.956637,0.971181,0.974082,0.872731,0.899834] area_under_roc_curve 0.936431 [0.962331,0.93942,0.94215,0.957609,0.934263,0.981755,0.954421,0.8772,0.849157] area_under_roc_curve 0.943567 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0.937509 [0.96684,0.924834,0.913758,0.963691,0.964136,0.98984,0.964105,0.879357,0.863851] area_under_roc_curve 0.944744 [0.969936,0.935492,0.935605,0.978282,0.979135,0.992569,0.969808,0.888538,0.830935] area_under_roc_curve 0.950953 [0.963667,0.934377,0.952442,0.962188,0.966859,0.977713,0.967241,0.90411,0.920023] area_under_roc_curve 0.947773 [0.945516,0.943921,0.938822,0.969123,0.96577,0.975488,0.973221,0.90802,0.899834] area_under_roc_curve 0.946695 [0.949133,0.9411,0.966772,0.978981,0.947629,0.975488,0.970377,0.877681,0.872412] area_under_roc_curve 0.94886 [0.964022,0.932671,0.965574,0.958551,0.969231,0.986806,0.984904,0.876719,0.87493] area_under_roc_curve 0.943907 [0.972225,0.911946,0.940248,0.975794,0.955128,0.993125,0.984904,0.870015,0.862752] area_under_roc_curve 0.952423 [0.96684,0.939428,0.956035,0.982008,0.957726,0.988022,0.972084,0.896368,0.886558] area_under_roc_curve 0.934359 [0.974323,0.895088,0.941025,0.941324,0.934263,0.977153,0.968948,0.878175,0.876348] area_under_roc_curve 0.941397 [0.951755,0.914733,0.957656,0.946816,0.964681,0.967083,0.959832,0.905227,0.886558] area_under_roc_curve 0.944964 [0.972632,0.920341,0.922418,0.975337,0.95295,0.985241,0.983198,0.892533,0.885689] area_under_roc_curve 0.945956 [0.957102,0.935492,0.961342,0.955975,0.944905,0.967847,0.970377,0.897561,0.898448] area_under_roc_curve 0.944576 [0.968213,0.946708,0.936914,0.968097,0.937406,0.984583,0.980631,0.870574,0.885459] area_under_roc_curve 0.943276 [0.969736,0.925391,0.946119,0.970626,0.945995,0.974376,0.966104,0.894767,0.867513] area_under_roc_curve 0.945601 [0.969736,0.948414,0.938111,0.966917,0.971091,0.980643,0.959832,0.881033,0.882941] area_under_roc_curve 0.95288 [0.958229,0.94615,0.957455,0.971045,0.965628,0.975833,0.980062,0.905227,0.895668] area_under_roc_curve 0.943354 [0.951755,0.934935,0.92113,0.970169,0.954039,0.976389,0.976357,0.906748,0.889854] area_under_roc_curve 0.954412 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f_measure 0.910108 [0.931507,0.882051,0.937107,0.944625,0.9125,0.958763,0.952381,0.795918,0.825581] f_measure 0.905703 [0.927928,0.86911,0.919753,0.92459,0.872483,0.950495,0.961702,0.836735,0.845238] f_measure 0.908812 [0.925764,0.912821,0.923547,0.927152,0.921053,0.963731,0.948276,0.823529,0.797468] f_measure 0.902538 [0.924444,0.843243,0.935385,0.938111,0.941176,0.926829,0.951965,0.788177,0.825] f_measure 0.893617 [0.90991,0.873684,0.925,0.940789,0.906667,0.95,0.957627,0.79803,0.706587] f_measure 0.869269 [0.910714,0.845361,0.860841,0.912752,0.893082,0.938776,0.915254,0.745283,0.768293] f_measure 0.900337 [0.913242,0.895833,0.914286,0.910891,0.911392,0.935323,0.969957,0.811594,0.804878] f_measure 0.893129 [0.921739,0.904523,0.910769,0.925676,0.939597,0.917526,0.956897,0.760417,0.754286] f_measure 0.904152 [0.907407,0.914573,0.88959,0.936027,0.918239,0.964467,0.962025,0.81407,0.807018] f_measure 0.896102 [0.905172,0.924623,0.899676,0.923077,0.895105,0.958763,0.95279,0.770642,0.8] 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0.896665 [0.901786,0.873684,0.923547,0.891089,0.929936,0.952381,0.947368,0.823529,0.8] f_measure 0.901921 [0.913043,0.884211,0.891026,0.940397,0.928105,0.95,0.957983,0.792271,0.8375] f_measure 0.904065 [0.914027,0.901554,0.929664,0.910299,0.903226,0.919192,0.944681,0.828283,0.853659] f_measure 0.901079 [0.936937,0.92228,0.905063,0.930693,0.884615,0.944724,0.965812,0.781726,0.790698] f_measure 0.898888 [0.920354,0.890052,0.926518,0.916129,0.915033,0.934673,0.940171,0.807882,0.797546] f_measure 0.902958 [0.920354,0.9,0.910828,0.92459,0.936709,0.949495,0.947368,0.79798,0.812121] f_measure 0.916383 [0.922374,0.917526,0.923077,0.946309,0.936709,0.948454,0.961702,0.823529,0.836364] f_measure 0.900401 [0.901786,0.896907,0.896104,0.927632,0.940397,0.953368,0.961373,0.778281,0.829268] f_measure 0.91905 [0.9375,0.908163,0.91195,0.933775,0.953642,0.944724,0.970464,0.862745,0.832298] f_measure 0.910045 [0.936937,0.904523,0.904615,0.942373,0.921053,0.964824,0.93617,0.83,0.824242] f_measure 0.895725 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kappa 0.880511 kappa 0.85224 kappa 0.88741 kappa 0.879391 kappa 0.891989 kappa 0.881737 kappa 0.900972 kappa 0.890758 kappa 0.88844 kappa 0.894226 kappa 0.890839 kappa 0.881755 kappa 0.885135 kappa 0.910119 kappa 0.902096 kappa 0.89197 kappa 0.873553 kappa 0.8873 kappa 0.914626 kappa 0.889612 kappa 0.888446 kappa 0.894172 kappa 0.891939 kappa 0.878279 kappa 0.879456 kappa 0.889566 kappa 0.874892 kappa 0.888586 kappa 0.902138 kappa 0.895363 kappa 0.892988 kappa 0.897569 kappa 0.887353 kappa 0.904435 kappa 0.868068 kappa 0.88277 kappa 0.88967 kappa 0.891867 kappa 0.888543 kappa 0.88622 kappa 0.890822 kappa 0.905562 kappa 0.886293 kappa 0.908972 kappa 0.898736 kappa 0.881643 kappa 0.881685 kappa 0.888462 kappa 0.870314 kappa 0.903262 kappa 0.910109 kappa 0.89416 kappa 0.886169 kappa 0.881692 kappa 0.886272 kappa 0.903376 kappa 0.878162 kappa 0.898724 kappa 0.904436 kb_relative_information_score 885.669961 kb_relative_information_score 875.2809 kb_relative_information_score 876.341595 kb_relative_information_score 885.21615 kb_relative_information_score 902.53553 kb_relative_information_score 886.316304 kb_relative_information_score 897.929492 kb_relative_information_score 901.546662 kb_relative_information_score 883.11647 kb_relative_information_score 890.066458 kb_relative_information_score 871.309977 kb_relative_information_score 878.150294 kb_relative_information_score 896.161805 kb_relative_information_score 881.512713 kb_relative_information_score 868.376325 kb_relative_information_score 872.827253 kb_relative_information_score 876.628666 kb_relative_information_score 897.168797 kb_relative_information_score 898.148589 kb_relative_information_score 896.096473 kb_relative_information_score 892.416789 kb_relative_information_score 890.763771 kb_relative_information_score 888.361818 kb_relative_information_score 890.702646 kb_relative_information_score 897.771982 kb_relative_information_score 895.693414 kb_relative_information_score 911.241417 kb_relative_information_score 901.951305 kb_relative_information_score 900.834581 kb_relative_information_score 893.034557 kb_relative_information_score 882.49686 kb_relative_information_score 899.820136 kb_relative_information_score 897.974751 kb_relative_information_score 893.904055 kb_relative_information_score 891.198613 kb_relative_information_score 882.943338 kb_relative_information_score 885.031804 kb_relative_information_score 899.379315 kb_relative_information_score 894.526628 kb_relative_information_score 897.654174 kb_relative_information_score 890.743896 kb_relative_information_score 880.755403 kb_relative_information_score 857.739239 kb_relative_information_score 889.768465 kb_relative_information_score 881.070202 kb_relative_information_score 894.953876 kb_relative_information_score 884.265672 kb_relative_information_score 903.055831 kb_relative_information_score 892.496592 kb_relative_information_score 890.257447 kb_relative_information_score 896.125203 kb_relative_information_score 893.365698 kb_relative_information_score 885.927203 kb_relative_information_score 888.504864 kb_relative_information_score 911.492532 kb_relative_information_score 902.520752 kb_relative_information_score 893.022983 kb_relative_information_score 875.510726 kb_relative_information_score 888.831189 kb_relative_information_score 913.689607 kb_relative_information_score 890.449807 kb_relative_information_score 891.11989 kb_relative_information_score 894.704931 kb_relative_information_score 894.266657 kb_relative_information_score 880.858804 kb_relative_information_score 882.06443 kb_relative_information_score 890.026144 kb_relative_information_score 878.769973 kb_relative_information_score 890.478261 kb_relative_information_score 903.863236 kb_relative_information_score 897.685983 kb_relative_information_score 892.705709 kb_relative_information_score 898.198435 kb_relative_information_score 888.490664 kb_relative_information_score 904.731991 kb_relative_information_score 871.089655 kb_relative_information_score 884.882881 kb_relative_information_score 892.008006 kb_relative_information_score 892.926769 kb_relative_information_score 890.28769 kb_relative_information_score 887.637456 kb_relative_information_score 893.270053 kb_relative_information_score 906.224004 kb_relative_information_score 889.304066 kb_relative_information_score 909.910577 kb_relative_information_score 900.083465 kb_relative_information_score 884.96005 kb_relative_information_score 882.996066 kb_relative_information_score 890.48254 kb_relative_information_score 872.571867 kb_relative_information_score 904.166559 kb_relative_information_score 911.013884 kb_relative_information_score 895.289865 kb_relative_information_score 886.926865 kb_relative_information_score 884.1825 kb_relative_information_score 889.590985 kb_relative_information_score 904.636023 kb_relative_information_score 879.441852 kb_relative_information_score 899.446861 kb_relative_information_score 904.829853 mean_absolute_error 0.023181 mean_absolute_error 0.024964 mean_absolute_error 0.024964 mean_absolute_error 0.022958 mean_absolute_error 0.019392 mean_absolute_error 0.022735 mean_absolute_error 0.020283 mean_absolute_error 0.019614 mean_absolute_error 0.023626 mean_absolute_error 0.022289 mean_absolute_error 0.025658 mean_absolute_error 0.024543 mean_absolute_error 0.020527 mean_absolute_error 0.02365 mean_absolute_error 0.026104 mean_absolute_error 0.025212 mean_absolute_error 0.02432 mean_absolute_error 0.020527 mean_absolute_error 0.020527 mean_absolute_error 0.020527 mean_absolute_error 0.021196 mean_absolute_error 0.021642 mean_absolute_error 0.022311 mean_absolute_error 0.021642 mean_absolute_error 0.019857 mean_absolute_error 0.02075 mean_absolute_error 0.017849 mean_absolute_error 0.019411 mean_absolute_error 0.019857 mean_absolute_error 0.021419 mean_absolute_error 0.023427 mean_absolute_error 0.02008 mean_absolute_error 0.02008 mean_absolute_error 0.021419 mean_absolute_error 0.021642 mean_absolute_error 0.022981 mean_absolute_error 0.022981 mean_absolute_error 0.019857 mean_absolute_error 0.02075 mean_absolute_error 0.02008 mean_absolute_error 0.021419 mean_absolute_error 0.023427 mean_absolute_error 0.029005 mean_absolute_error 0.022088 mean_absolute_error 0.02365 mean_absolute_error 0.021196 mean_absolute_error 0.023204 mean_absolute_error 0.019411 mean_absolute_error 0.021419 mean_absolute_error 0.021865 mean_absolute_error 0.02075 mean_absolute_error 0.021419 mean_absolute_error 0.023204 mean_absolute_error 0.022535 mean_absolute_error 0.017626 mean_absolute_error 0.019188 mean_absolute_error 0.021196 mean_absolute_error 0.024766 mean_absolute_error 0.022088 mean_absolute_error 0.016734 mean_absolute_error 0.021642 mean_absolute_error 0.021865 mean_absolute_error 0.02075 mean_absolute_error 0.021196 mean_absolute_error 0.023873 mean_absolute_error 0.02365 mean_absolute_error 0.021642 mean_absolute_error 0.024543 mean_absolute_error 0.021865 mean_absolute_error 0.019188 mean_absolute_error 0.020527 mean_absolute_error 0.020973 mean_absolute_error 0.02008 mean_absolute_error 0.022088 mean_absolute_error 0.018742 mean_absolute_error 0.025881 mean_absolute_error 0.022981 mean_absolute_error 0.021642 mean_absolute_error 0.021196 mean_absolute_error 0.021865 mean_absolute_error 0.022311 mean_absolute_error 0.021419 mean_absolute_error 0.018519 mean_absolute_error 0.022311 mean_absolute_error 0.017849 mean_absolute_error 0.019857 mean_absolute_error 0.023204 mean_absolute_error 0.023204 mean_absolute_error 0.021865 mean_absolute_error 0.025435 mean_absolute_error 0.018965 mean_absolute_error 0.017626 mean_absolute_error 0.02075 mean_absolute_error 0.022311 mean_absolute_error 0.023204 mean_absolute_error 0.022311 mean_absolute_error 0.018965 mean_absolute_error 0.023873 mean_absolute_error 0.019857 mean_absolute_error 0.018742 mean_prior_absolute_error 0.196184 mean_prior_absolute_error 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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 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[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 0.895111 [0.87395,0.873684,0.922581,0.878981,0.961538,0.929293,0.92623,0.847826,0.8375] precision 0.88674 [0.895652,0.852632,0.947712,0.909677,0.898734,0.920792,0.949153,0.772277,0.7625] precision 0.888821 [0.859504,0.84466,0.888889,0.92517,0.934211,0.967742,0.939655,0.768519,0.859155] precision 0.899104 [0.901786,0.909091,0.966443,0.871951,0.906667,0.947368,0.964912,0.747748,0.833333] precision 0.913688 [0.87931,0.945652,0.893491,0.915584,0.961039,0.947917,0.982456,0.817308,0.893333] precision 0.89721 [0.875,0.925532,0.91195,0.882716,0.922078,0.958333,0.948718,0.844444,0.792683] precision 0.90866 [0.853659,0.927835,0.907975,0.945946,0.906667,0.93,0.966102,0.846939,0.866667] precision 0.912227 [0.905172,0.908163,0.943038,0.914474,0.946667,0.94898,0.982759,0.775701,0.857143] precision 0.894843 [0.853659,0.833333,0.933333,0.901961,0.971014,0.921569,0.965812,0.821053,0.825] precision 0.899762 [0.913043,0.896907,0.89441,0.92517,0.945946,0.93,0.956897,0.784314,0.835294] precision 0.884689 [0.853448,0.926316,0.877301,0.898734,0.945946,0.948454,0.954955,0.785047,0.76] precision 0.890424 [0.848,0.81982,0.915033,0.924658,0.932432,0.94,0.964912,0.816327,0.813333] precision 0.907785 [0.889831,0.923077,0.918239,0.91195,0.972222,0.912621,0.956522,0.840426,0.835294] precision 0.89425 [0.891892,0.904255,0.871345,0.950704,0.923077,0.94898,0.957983,0.733333,0.846154] precision 0.883025 [0.843478,0.934066,0.91411,0.853659,0.907895,0.888889,0.965217,0.773196,0.855263] precision 0.886615 [0.858333,0.923077,0.907407,0.865031,0.934211,0.978495,0.948276,0.77551,0.779221] precision 0.891895 [0.864407,0.910112,0.929032,0.888889,1,0.913462,0.957265,0.787037,0.753247] precision 0.907045 [0.91453,0.888889,0.927632,0.895706,0.933333,0.969072,0.956522,0.784946,0.882353] precision 0.90818 [0.913043,0.897959,0.932886,0.910256,0.9375,0.958763,0.956522,0.796296,0.846154] precision 0.907234 [0.886957,0.917526,0.924528,0.933775,0.945205,0.930693,0.949153,0.841584,0.802469] precision 0.904395 [0.887097,0.886792,0.9,0.940789,0.907895,0.947368,0.965812,0.785714,0.897059] precision 0.902754 [0.889831,0.90625,0.899371,0.895062,0.957746,0.919192,0.982456,0.83871,0.833333] precision 0.898663 [0.90678,0.927083,0.869048,0.896104,0.911392,0.94,0.947826,0.840909,0.858974] precision 0.903141 [0.886957,0.931818,0.896341,0.91195,0.986842,0.939394,0.947826,0.780952,0.853333] precision 0.911792 [0.900826,0.965909,0.943396,0.885542,0.929577,0.95,0.972973,0.792079,0.848101] precision 0.90683 [0.919643,0.852941,0.924051,0.90566,0.96,0.957895,0.973451,0.783505,0.870588] precision 0.919369 [0.928571,0.930693,0.923077,0.898734,0.9375,0.978947,0.939655,0.831579,0.915663] precision 0.912501 [0.915966,0.947917,0.917722,0.908497,0.916667,0.94,0.965812,0.813725,0.873418] precision 0.912028 [0.89916,0.911765,0.922581,0.958333,0.944444,0.959184,0.948276,0.770642,0.864198] precision 0.905267 [0.883333,0.925532,0.923077,0.873418,0.971429,0.939394,0.955752,0.809524,0.876543] precision 0.893895 [0.870968,0.913978,0.900621,0.892405,0.922078,0.948454,0.931034,0.820225,0.839506] precision 0.909839 [0.897436,0.91,0.90625,0.873418,0.962025,0.94898,0.949153,0.842105,0.929577] precision 0.908923 [0.9,0.9375,0.917722,0.895062,0.973333,0.959184,0.965517,0.79798,0.833333] precision 0.90542 [0.876033,0.897959,0.91195,0.910959,0.946667,0.989362,0.981982,0.777778,0.845238] precision 0.902568 [0.882353,0.915789,0.895062,0.903846,0.959459,0.932039,0.940171,0.806122,0.902778] precision 0.896686 [0.880342,0.913978,0.908537,0.910256,0.944444,0.92,0.965517,0.773585,0.833333] precision 0.896422 [0.928571,0.913978,0.898734,0.898734,0.910256,0.912621,0.964912,0.77451,0.846154] precision 0.9104 [0.93578,0.895833,0.949045,0.90625,0.901235,0.94898,0.964912,0.821053,0.825581] precision 0.906235 [0.919643,0.902174,0.91411,0.892405,0.915493,0.914286,0.957627,0.863158,0.865854] precision 0.909789 [0.890756,0.927083,0.915152,0.903226,0.945946,0.958763,0.956522,0.815534,0.875] precision 0.904589 [0.904348,0.906977,0.932515,0.9,0.96,0.87156,0.973214,0.784314,0.891892] precision 0.894126 [0.901786,0.912088,0.930818,0.910828,0.957746,0.913462,0.94958,0.794118,0.728395] precision 0.870476 [0.894737,0.863158,0.898649,0.900662,0.876543,0.929293,0.907563,0.711712,0.807692] precision 0.901309 [0.917431,0.924731,0.935065,0.884615,0.9,0.903846,0.974138,0.792453,0.846154] precision 0.893908 [0.883333,0.9,0.907975,0.919463,0.985915,0.908163,0.965217,0.802198,0.741573] precision 0.904031 [0.924528,0.91,0.903846,0.926667,0.901235,0.95,0.95,0.826531,0.811765] precision 0.900217 [0.860656,0.92,0.945578,0.907895,0.984615,0.94898,0.956897,0.717949,0.835443] precision 0.913158 [0.905172,0.878788,0.91411,0.867925,1,0.947917,0.948276,0.897727,0.890244] precision 0.904281 [0.889831,0.904255,0.904459,0.904459,0.876543,0.969072,0.933333,0.825243,0.927536] precision 0.901517 [0.868852,0.854369,0.89441,0.892405,0.96,0.969388,0.949153,0.862069,0.878378] precision 0.905734 [0.938053,0.903846,0.934211,0.895425,0.881579,0.941176,0.927419,0.833333,0.868421] precision 0.905265 [0.871795,0.87,0.941558,0.919463,0.986486,0.938144,0.957265,0.768519,0.875] precision 0.897097 [0.905172,0.876289,0.90604,0.878981,0.972222,0.940594,1,0.786408,0.797753] precision 0.899716 [0.882353,0.857143,0.915033,0.88961,0.945205,0.90566,0.963303,0.852941,0.88] precision 0.920591 [0.930435,0.909091,0.917722,0.916129,0.985915,0.96,0.956897,0.849462,0.865169] precision 0.913899 [0.912281,0.957447,0.876404,0.944056,0.897436,0.931373,0.982456,0.817204,0.9] precision 0.905113 [0.881356,0.923913,0.955414,0.945578,0.888889,0.947917,0.933333,0.764706,0.843373] precision 0.889315 [0.85124,0.89899,0.859649,0.873418,0.957746,0.949495,0.955357,0.829787,0.859155] precision 0.900514 [0.888889,0.90625,0.924051,0.861446,0.935897,0.95,0.95614,0.806452,0.878378] precision 0.925265 [0.898305,0.945055,0.933735,0.923077,0.986301,0.95098,0.990826,0.848485,0.841463] precision 0.901695 [0.889831,0.916667,0.920245,0.908497,0.910256,0.929293,0.965217,0.821053,0.822785] precision 0.902428 [0.876033,0.89,0.88024,0.888158,0.972222,0.979381,0.954545,0.84375,0.864198] precision 0.907872 [0.90991,0.907216,0.944444,0.913907,1,0.91,0.948718,0.773585,0.843373] precision 0.904602 [0.911504,0.916667,0.935065,0.88535,0.958904,0.930693,0.933884,0.826087,0.831461] precision 0.891578 [0.888889,0.885417,0.935065,0.865385,0.923077,0.95,0.95,0.79798,0.802632] precision 0.896544 [0.81746,0.865385,0.94,0.914474,0.985294,0.957895,0.947826,0.805825,0.807229] precision 0.902774 [0.871795,0.956044,0.910714,0.915033,0.947368,0.957447,0.939655,0.81,0.802469] precision 0.890868 [0.911504,0.913978,0.931507,0.839286,0.9125,0.914286,0.973214,0.79,0.810127] precision 0.901482 [0.889831,0.925532,0.940397,0.946667,0.961538,0.959596,0.932773,0.773585,0.728395] precision 0.914629 [0.927928,0.90625,0.925,0.88535,0.973333,0.96875,0.956522,0.8,0.901235] precision 0.907776 [0.862069,0.89899,0.911392,0.921053,0.948052,0.93,0.982301,0.857143,0.843373] precision 0.906166 [0.854701,0.93617,0.916168,0.953333,0.972222,0.93,0.940678,0.76699,0.866667] precision 0.910068 [0.872881,0.966292,0.905325,0.913907,0.882353,0.949495,0.966102,0.905882,0.804878] precision 0.901272 [0.861789,0.864583,0.953642,0.888199,1,0.969388,0.966102,0.793814,0.790123] precision 0.916111 [0.911504,0.907216,0.961039,0.884146,0.911392,0.969388,0.965217,0.891304,0.809524] precision 0.886173 [0.889831,0.918605,0.901235,0.910345,0.957746,0.877358,0.982143,0.761905,0.736264] precision 0.897614 [0.885965,0.912088,0.915152,0.865385,0.924051,0.967742,0.972973,0.815534,0.809524] precision 0.903912 [0.867769,0.923077,0.926667,0.916129,0.946667,0.92233,0.942149,0.773585,0.905405] precision 0.904638 [0.901786,0.925532,0.921212,0.88961,0.909091,0.892157,0.940678,0.845361,0.909091] precision 0.901272 [0.928571,0.946809,0.922581,0.909677,0.884615,0.912621,0.965812,0.802083,0.790698] precision 0.90045 [0.888889,0.923913,0.953947,0.871166,0.933333,0.911765,0.940171,0.803922,0.855263] precision 0.903575 [0.888889,0.891089,0.934641,0.898089,0.925,0.930693,0.972973,0.814433,0.848101] precision 0.916519 [0.918182,0.936842,0.914634,0.94,0.936709,0.938776,0.957627,0.815534,0.873418] precision 0.904116 [0.885965,0.915789,0.945205,0.898089,0.972603,0.948454,0.965517,0.716667,0.871795] precision 0.919893 [0.913043,0.927083,0.923567,0.909677,0.986301,0.921569,0.958333,0.854369,0.893333] precision 0.910132 [0.920354,0.9,0.90184,0.945578,0.945946,0.932039,0.932203,0.838384,0.860759] precision 0.897521 [0.898305,0.90625,0.891026,0.852761,0.985915,0.968421,0.990991,0.776699,0.831325] precision 0.896106 [0.90991,0.905263,0.930818,0.903846,0.945946,0.91,0.99115,0.755102,0.766667] precision 0.901498 [0.883333,0.90099,0.881657,0.923611,0.935897,0.968421,0.965517,0.787879,0.864865] precision 0.885404 [0.87069,0.894737,0.922581,0.903226,0.933333,0.92,0.948276,0.764151,0.769231] precision 0.916519 [0.904348,0.94186,0.937107,0.876543,0.972222,0.949495,0.982301,0.805825,0.885057] precision 0.920641 [0.93578,0.936842,0.910714,0.919463,0.960526,0.969388,0.965517,0.845361,0.840909] precision 0.906813 [0.87931,0.884615,0.89881,0.92517,0.947368,0.92,0.982609,0.816327,0.902778] precision 0.899336 [0.848,0.93617,0.925466,0.908497,0.958904,0.958763,0.92562,0.810526,0.805195] precision 0.895212 [0.881356,0.863158,0.910828,0.897436,0.91358,0.959184,0.964912,0.803922,0.84] precision 0.900298 [0.877049,0.925532,0.915033,0.907285,0.961538,0.979167,0.957627,0.733333,0.835443] precision 0.914229 [0.936364,0.867925,0.947712,0.94702,0.914634,0.930693,0.974138,0.814433,0.8375] precision 0.891137 [0.890756,0.925532,0.890909,0.896104,0.934211,0.958763,0.918033,0.79,0.811594] precision 0.910752 [0.885246,0.897959,0.921212,0.931973,0.949367,0.968421,0.982301,0.784314,0.853333] precision 0.915051 [0.904348,0.919192,0.938272,0.933775,0.96,0.91,0.965517,0.824176,0.850575] predictive_accuracy 0.895687 predictive_accuracy 0.887663 predictive_accuracy 0.887663 predictive_accuracy 0.89669 predictive_accuracy 0.912738 predictive_accuracy 0.897693 predictive_accuracy 0.908726 predictive_accuracy 0.911735 predictive_accuracy 0.893681 predictive_accuracy 0.899699 predictive_accuracy 0.884538 predictive_accuracy 0.889558 predictive_accuracy 0.907631 predictive_accuracy 0.893574 predictive_accuracy 0.88253 predictive_accuracy 0.886546 predictive_accuracy 0.890562 predictive_accuracy 0.907631 predictive_accuracy 0.907631 predictive_accuracy 0.907631 predictive_accuracy 0.904618 predictive_accuracy 0.90261 predictive_accuracy 0.899598 predictive_accuracy 0.90261 predictive_accuracy 0.910643 predictive_accuracy 0.906627 predictive_accuracy 0.919679 predictive_accuracy 0.912651 predictive_accuracy 0.910643 predictive_accuracy 0.903614 predictive_accuracy 0.894578 predictive_accuracy 0.909639 predictive_accuracy 0.909639 predictive_accuracy 0.903614 predictive_accuracy 0.90261 predictive_accuracy 0.896586 predictive_accuracy 0.896586 predictive_accuracy 0.910643 predictive_accuracy 0.906627 predictive_accuracy 0.909639 predictive_accuracy 0.903614 predictive_accuracy 0.894578 predictive_accuracy 0.869478 predictive_accuracy 0.900602 predictive_accuracy 0.893574 predictive_accuracy 0.904618 predictive_accuracy 0.895582 predictive_accuracy 0.912651 predictive_accuracy 0.903614 predictive_accuracy 0.901606 predictive_accuracy 0.906627 predictive_accuracy 0.903614 predictive_accuracy 0.895582 predictive_accuracy 0.898594 predictive_accuracy 0.920683 predictive_accuracy 0.913655 predictive_accuracy 0.904618 predictive_accuracy 0.888554 predictive_accuracy 0.900602 predictive_accuracy 0.924699 predictive_accuracy 0.90261 predictive_accuracy 0.901606 predictive_accuracy 0.906627 predictive_accuracy 0.904618 predictive_accuracy 0.89257 predictive_accuracy 0.893574 predictive_accuracy 0.90261 predictive_accuracy 0.889558 predictive_accuracy 0.901606 predictive_accuracy 0.913655 predictive_accuracy 0.907631 predictive_accuracy 0.905622 predictive_accuracy 0.909639 predictive_accuracy 0.900602 predictive_accuracy 0.915663 predictive_accuracy 0.883534 predictive_accuracy 0.896586 predictive_accuracy 0.90261 predictive_accuracy 0.904618 predictive_accuracy 0.901606 predictive_accuracy 0.899598 predictive_accuracy 0.903614 predictive_accuracy 0.916667 predictive_accuracy 0.899598 predictive_accuracy 0.919679 predictive_accuracy 0.910643 predictive_accuracy 0.895582 predictive_accuracy 0.895582 predictive_accuracy 0.901606 predictive_accuracy 0.885542 predictive_accuracy 0.914659 predictive_accuracy 0.920683 predictive_accuracy 0.906627 predictive_accuracy 0.899598 predictive_accuracy 0.895582 predictive_accuracy 0.899598 predictive_accuracy 0.914659 predictive_accuracy 0.89257 predictive_accuracy 0.910643 predictive_accuracy 0.915663 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 0.895687 [0.954128,0.838384,0.888199,0.932432,0.949367,0.958333,0.965812,0.764706,0.77907] recall 0.887663 [0.936364,0.818182,0.895062,0.959184,0.910256,0.96875,0.957265,0.764706,0.709302] recall 0.887663 [0.945455,0.878788,0.888889,0.92517,0.910256,0.9375,0.931624,0.813725,0.709302] recall 0.89669 [0.926606,0.909091,0.888889,0.966216,0.871795,0.9375,0.940171,0.813725,0.755814] recall 0.912738 [0.927273,0.878788,0.937888,0.952703,0.936709,0.947917,0.957265,0.841584,0.77907] recall 0.897693 [0.954545,0.878788,0.900621,0.966216,0.910256,0.958333,0.948718,0.752475,0.747126] recall 0.908726 [0.963303,0.909091,0.919255,0.952381,0.860759,0.958763,0.974359,0.813725,0.755814] recall 0.911735 [0.954545,0.89899,0.925466,0.939189,0.910256,0.96875,0.974359,0.821782,0.758621] recall 0.893681 [0.963303,0.9,0.864198,0.932432,0.858974,0.979167,0.965812,0.772277,0.767442] recall 0.899699 [0.963303,0.878788,0.888889,0.92517,0.886076,0.96875,0.948718,0.792079,0.816092] recall 0.884538 [0.908257,0.888889,0.888199,0.959459,0.886076,0.958333,0.905983,0.831683,0.662791] recall 0.889558 [0.963636,0.919192,0.864198,0.918367,0.884615,0.979167,0.940171,0.792079,0.709302] recall 0.907631 [0.954545,0.848485,0.901235,0.986395,0.897436,0.979167,0.940171,0.782178,0.825581] recall 0.893574 [0.908257,0.858586,0.925466,0.912162,0.911392,0.96875,0.974359,0.762376,0.767442] recall 0.88253 [0.881818,0.858586,0.925466,0.945946,0.884615,0.916667,0.948718,0.742574,0.755814] recall 0.886546 [0.936364,0.84,0.913043,0.959184,0.910256,0.947917,0.940171,0.752475,0.697674] recall 0.890562 [0.93578,0.818182,0.89441,0.972973,0.846154,0.979381,0.957265,0.841584,0.674419] recall 0.907631 [0.972727,0.888889,0.875776,0.986486,0.897436,0.979167,0.940171,0.722772,0.872093] recall 0.907631 [0.954545,0.888889,0.863354,0.965986,0.949367,0.96875,0.940171,0.851485,0.767442] recall 0.907631 [0.93578,0.89,0.907407,0.959184,0.884615,0.979167,0.957265,0.841584,0.755814] recall 0.904618 [1,0.949495,0.89441,0.966216,0.884615,0.9375,0.965812,0.762376,0.709302] recall 0.90261 [0.954545,0.878788,0.882716,0.986395,0.871795,0.947917,0.957265,0.772277,0.813953] recall 0.899598 [0.972727,0.89899,0.901235,0.938776,0.923077,0.979167,0.931624,0.732673,0.77907] recall 0.90261 [0.93578,0.82,0.913043,0.986395,0.949367,0.96875,0.931624,0.811881,0.744186] recall 0.910643 [0.990909,0.858586,0.931677,0.993243,0.846154,0.989583,0.923077,0.792079,0.77907] recall 0.906627 [0.936364,0.878788,0.906832,0.979592,0.911392,0.947917,0.940171,0.752475,0.860465] recall 0.919679 [0.954128,0.94,0.89441,0.959459,0.961538,0.96875,0.931624,0.782178,0.883721] recall 0.912651 [0.990909,0.919192,0.900621,0.939189,0.846154,0.979167,0.965812,0.821782,0.802326] recall 0.910643 [0.972727,0.939394,0.888199,0.938776,0.860759,0.979167,0.940171,0.831683,0.813953] recall 0.903614 [0.963636,0.878788,0.888889,0.938776,0.871795,0.96875,0.923077,0.841584,0.825581] recall 0.894578 [0.981818,0.858586,0.895062,0.959184,0.910256,0.958333,0.923077,0.722772,0.790698] recall 0.909639 [0.954545,0.919192,0.895062,0.938776,0.974359,0.96875,0.957265,0.792079,0.767442] recall 0.909639 [0.981818,0.909091,0.895062,0.986395,0.935897,0.979167,0.957265,0.782178,0.697674] recall 0.903614 [0.963636,0.888889,0.900621,0.904762,0.910256,0.96875,0.931624,0.831683,0.816092] recall 0.90261 [0.954545,0.878788,0.895062,0.959184,0.910256,1,0.940171,0.782178,0.755814] recall 0.896586 [0.936364,0.858586,0.925466,0.965986,0.860759,0.958333,0.957265,0.811881,0.697674] recall 0.896586 [0.945455,0.858586,0.881988,0.959459,0.910256,0.979167,0.940171,0.782178,0.767442] recall 0.910643 [0.927273,0.868687,0.925466,0.986395,0.924051,0.96875,0.940171,0.772277,0.825581] recall 0.906627 [0.936364,0.838384,0.925466,0.959184,0.833333,0.989691,0.965812,0.811881,0.825581] recall 0.909639 [0.963636,0.89899,0.932099,0.952381,0.897436,0.96875,0.940171,0.831683,0.732558] recall 0.903614 [0.945455,0.787879,0.938272,0.979592,0.923077,0.989583,0.931624,0.792079,0.767442] recall 0.894578 [0.918182,0.838384,0.919255,0.972789,0.860759,0.989583,0.965812,0.80198,0.686047] recall 0.869478 [0.927273,0.828283,0.826087,0.92517,0.910256,0.948454,0.923077,0.782178,0.732558] recall 0.900602 [0.909091,0.868687,0.89441,0.938776,0.923077,0.969072,0.965812,0.831683,0.767442] recall 0.893574 [0.963636,0.909091,0.91358,0.931973,0.897436,0.927083,0.948718,0.722772,0.767442] recall 0.904618 [0.890909,0.919192,0.875776,0.945578,0.935897,0.979381,0.974359,0.80198,0.802326] recall 0.895582 [0.954545,0.929293,0.858025,0.938776,0.820513,0.96875,0.948718,0.831683,0.767442] recall 0.912651 [0.954545,0.878788,0.925466,0.938776,0.974684,0.947917,0.940171,0.782178,0.848837] recall 0.903614 [0.954545,0.858586,0.881988,0.965986,0.910256,0.969072,0.957265,0.841584,0.744186] recall 0.901606 [0.963636,0.888889,0.89441,0.959184,0.923077,0.979381,0.957265,0.742574,0.755814] recall 0.906627 [0.963636,0.949495,0.876543,0.931973,0.858974,1,0.982906,0.792079,0.767442] recall 0.903614 [0.927273,0.878788,0.900621,0.931973,0.924051,0.947917,0.957265,0.821782,0.813953] recall 0.895582 [0.954545,0.858586,0.838509,0.938776,0.897436,0.979381,0.957265,0.80198,0.825581] recall 0.898594 [0.954545,0.909091,0.869565,0.931973,0.884615,0.989691,0.897436,0.861386,0.767442] recall 0.920683 [0.972727,0.909091,0.895062,0.965986,0.897436,1,0.948718,0.782178,0.895349] recall 0.913655 [0.945455,0.909091,0.968944,0.918367,0.897436,0.979381,0.957265,0.752475,0.837209] recall 0.904618 [0.945455,0.858586,0.925926,0.945578,0.923077,0.947917,0.957265,0.772277,0.813953] recall 0.888554 [0.944954,0.89,0.913043,0.938776,0.871795,0.969072,0.91453,0.772277,0.709302] recall 0.900602 [0.945455,0.878788,0.906832,0.972789,0.935897,0.979381,0.931624,0.742574,0.755814] recall 0.924699 [0.963636,0.868687,0.962733,0.979592,0.923077,1,0.923077,0.831683,0.802326] recall 0.90261 [0.954545,0.888889,0.925926,0.945578,0.910256,0.958333,0.948718,0.772277,0.755814] recall 0.901606 [0.972477,0.89899,0.913043,0.912162,0.897436,0.979381,0.897436,0.80198,0.813953] recall 0.906627 [0.926606,0.888889,0.950311,0.932432,0.884615,0.938144,0.948718,0.811881,0.813953] recall 0.904618 [0.936364,0.888889,0.89441,0.945578,0.897436,0.969072,0.965812,0.752475,0.860465] recall 0.89257 [0.954128,0.858586,0.888889,0.918367,0.923077,0.989583,0.974359,0.782178,0.701149] recall 0.893574 [0.944954,0.909091,0.87037,0.945578,0.858974,0.938144,0.931624,0.821782,0.77907] recall 0.90261 [0.927273,0.878788,0.944444,0.952381,0.923077,0.9375,0.931624,0.80198,0.755814] recall 0.889558 [0.944954,0.858586,0.839506,0.959184,0.935897,0.989691,0.931624,0.782178,0.744186] recall 0.901606 [0.954545,0.878788,0.881988,0.965986,0.961538,0.989583,0.948718,0.803922,0.686047] recall 0.913655 [0.936364,0.878788,0.919255,0.945578,0.935897,0.958763,0.940171,0.831683,0.848837] recall 0.907631 [0.909091,0.89899,0.89441,0.952381,0.935897,0.958763,0.948718,0.831683,0.813953] recall 0.905622 [0.917431,0.888889,0.950311,0.966216,0.897436,0.958763,0.948718,0.782178,0.755814] recall 0.909639 [0.944954,0.868687,0.950311,0.932432,0.949367,0.979167,0.974359,0.762376,0.767442] recall 0.900602 [0.963636,0.838384,0.888889,0.972789,0.910256,0.989583,0.974359,0.762376,0.744186] recall 0.915663 [0.944954,0.888889,0.919255,0.986395,0.923077,0.979381,0.948718,0.803922,0.790698] recall 0.883534 [0.963303,0.79798,0.901235,0.897959,0.871795,0.96875,0.940171,0.784314,0.77907] recall 0.896586 [0.918182,0.838384,0.932099,0.918367,0.935897,0.9375,0.923077,0.831683,0.790698] recall 0.90261 [0.963303,0.848485,0.858025,0.965986,0.910256,0.979381,0.974359,0.811881,0.77907] recall 0.904618 [0.926606,0.878788,0.938272,0.931973,0.897436,0.947917,0.948718,0.811881,0.804598] recall 0.901606 [0.945455,0.89899,0.888199,0.952703,0.884615,0.979167,0.965812,0.762376,0.790698] recall 0.899598 [0.954128,0.858586,0.900621,0.965986,0.897436,0.958763,0.940171,0.811881,0.747126] recall 0.903614 [0.954128,0.909091,0.888199,0.952703,0.948718,0.969072,0.923077,0.782178,0.77907] recall 0.916667 [0.926606,0.89899,0.931677,0.952703,0.936709,0.958333,0.965812,0.831683,0.802326] recall 0.899598 [0.918182,0.878788,0.851852,0.959184,0.910256,0.958333,0.957265,0.851485,0.790698] recall 0.919679 [0.963303,0.89,0.900621,0.959184,0.923077,0.969072,0.982906,0.871287,0.77907] recall 0.910643 [0.954128,0.909091,0.907407,0.939189,0.897436,1,0.940171,0.821782,0.790698] recall 0.895582 [0.963636,0.878788,0.863354,0.945578,0.897436,0.958333,0.940171,0.792079,0.793103] recall 0.895582 [0.926606,0.868687,0.91358,0.959184,0.897436,0.947917,0.957265,0.72549,0.802326] recall 0.901606 [0.972477,0.919192,0.919753,0.898649,0.935897,0.958333,0.957265,0.772277,0.744186] recall 0.885542 [0.926606,0.858586,0.888199,0.945946,0.897436,0.958333,0.940171,0.794118,0.697674] recall 0.914659 [0.954128,0.81,0.925466,0.965986,0.897436,0.969072,0.948718,0.821782,0.895349] recall 0.920683 [0.93578,0.89,0.950311,0.931973,0.935897,0.989583,0.957265,0.811881,0.850575] recall 0.906627 [0.93578,0.92,0.937888,0.92517,0.923077,0.958333,0.965812,0.792079,0.747126] recall 0.899598 [0.972477,0.888889,0.919753,0.939189,0.897436,0.96875,0.957265,0.762376,0.72093] recall 0.895582 [0.954128,0.828283,0.888199,0.952381,0.936709,0.969072,0.940171,0.811881,0.732558] recall 0.899598 [0.981651,0.878788,0.864198,0.925676,0.961538,0.979167,0.965812,0.762376,0.767442] recall 0.914659 [0.944954,0.929293,0.900621,0.972789,0.949367,0.969072,0.965812,0.782178,0.77907] recall 0.89257 [0.963636,0.878788,0.907407,0.938776,0.910256,0.96875,0.957265,0.782178,0.651163] recall 0.910643 [0.990826,0.888889,0.938272,0.925676,0.961538,0.958333,0.948718,0.792079,0.744186] recall 0.915663 [0.954128,0.919192,0.944099,0.952703,0.911392,0.947917,0.957265,0.742574,0.860465] relative_absolute_error 0.118158 relative_absolute_error 0.127254 relative_absolute_error 0.127254 relative_absolute_error 0.117033 relative_absolute_error 0.098845 relative_absolute_error 0.115888 relative_absolute_error 0.103382 relative_absolute_error 0.099982 relative_absolute_error 0.120441 relative_absolute_error 0.113613 relative_absolute_error 0.130789 relative_absolute_error 0.125109 relative_absolute_error 0.104637 relative_absolute_error 0.120553 relative_absolute_error 0.133068 relative_absolute_error 0.128512 relative_absolute_error 0.123968 relative_absolute_error 0.104635 relative_absolute_error 0.104627 relative_absolute_error 0.104635 relative_absolute_error 0.108047 relative_absolute_error 0.110323 relative_absolute_error 0.113735 relative_absolute_error 0.110311 relative_absolute_error 0.101223 relative_absolute_error 0.105764 relative_absolute_error 0.090986 relative_absolute_error 0.098948 relative_absolute_error 0.101215 relative_absolute_error 0.109186 relative_absolute_error 0.119422 relative_absolute_error 0.102362 relative_absolute_error 0.102362 relative_absolute_error 0.109177 relative_absolute_error 0.110323 relative_absolute_error 0.117136 relative_absolute_error 0.117146 relative_absolute_error 0.101215 relative_absolute_error 0.105766 relative_absolute_error 0.102362 relative_absolute_error 0.109186 relative_absolute_error 0.119411 relative_absolute_error 0.147845 relative_absolute_error 0.11259 relative_absolute_error 0.120559 relative_absolute_error 0.108041 relative_absolute_error 0.118285 relative_absolute_error 0.09894 relative_absolute_error 0.109178 relative_absolute_error 0.111452 relative_absolute_error 0.105774 relative_absolute_error 0.109176 relative_absolute_error 0.118276 relative_absolute_error 0.114864 relative_absolute_error 0.089851 relative_absolute_error 0.097805 relative_absolute_error 0.108049 relative_absolute_error 0.126235 relative_absolute_error 0.11259 relative_absolute_error 0.085295 relative_absolute_error 0.110323 relative_absolute_error 0.111457 relative_absolute_error 0.105771 relative_absolute_error 0.108041 relative_absolute_error 0.121694 relative_absolute_error 0.120558 relative_absolute_error 0.110323 relative_absolute_error 0.125107 relative_absolute_error 0.111453 relative_absolute_error 0.097805 relative_absolute_error 0.104629 relative_absolute_error 0.106908 relative_absolute_error 0.102356 relative_absolute_error 0.112598 relative_absolute_error 0.09553 relative_absolute_error 0.131932 relative_absolute_error 0.117147 relative_absolute_error 0.110322 relative_absolute_error 0.108046 relative_absolute_error 0.111459 relative_absolute_error 0.113724 relative_absolute_error 0.109183 relative_absolute_error 0.094395 relative_absolute_error 0.113735 relative_absolute_error 0.09098 relative_absolute_error 0.101229 relative_absolute_error 0.118275 relative_absolute_error 0.118284 relative_absolute_error 0.111465 relative_absolute_error 0.129655 relative_absolute_error 0.096667 relative_absolute_error 0.089842 relative_absolute_error 0.105764 relative_absolute_error 0.11374 relative_absolute_error 0.118272 relative_absolute_error 0.11374 relative_absolute_error 0.096664 relative_absolute_error 0.121697 relative_absolute_error 0.101229 relative_absolute_error 0.095533 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 0.152252 root_mean_squared_error 0.157999 root_mean_squared_error 0.157999 root_mean_squared_error 0.151518 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