287051 2 Joaquin Vanschoren 4238 Supervised Classification predictive_accuracy 1197 weka.FURIA(1) 2067 weka.classifiers.rules.FURIA -- -F 3 -N 2.0 -O 2 -S 1 -p 0 -s 0 F 3 1197 N 2.0 1197 O 2 1197 S 1 1197 s 0 1197 p 0 1197 weka weka_3.7.12 398 wap.wc https://www.openml.org/data/download/52510/wap.wc.arff -1 966743 description https://api.openml.org/data/download/966743/weka_generated_run601544405951144279.xml -1 966746 model_readable https://api.openml.org/data/download/966746/WekaModel_weka.classifiers.rules.FURIA5319883296925082264.model -1 966745 model_serialized https://api.openml.org/data/download/966745/WekaSerialized_weka.classifiers.rules.FURIA135932258291841846.model -1 966744 predictions https://api.openml.org/data/download/966744/weka_generated_predictions7147327241305622608.arff area_under_roc_curve 0.921228 [0.604834,0.999793,0.750411,0.813119,0.496077,0.938483,0.991814,0.7721,0.710982,0.844118,0.905085,0.940345,0.827969,0.967854,0.962597,0.986178,0.824864,1,0.884583,0.992581] average_cost 0 f_measure 0.760372 [0.090395,0.975738,0.403326,0.577576,0,0.744489,0.91299,0.348092,0.446043,0.670659,0.706432,0.777174,0.615534,0.851603,0.805112,0.928608,0.443439,0.995929,0.664365,0.90687] kappa 0.74729 kb_relative_information_score 11686.160498 mean_absolute_error 0.025894 mean_prior_absolute_error 0.089924 number_of_instances 15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.763629 [0.296296,0.972549,0.642384,0.74344,0,0.665728,0.849886,0.530233,0.632653,0.982456,0.668959,0.85119,0.674468,0.826339,0.780992,0.912438,0.538462,1,0.662586,0.97377] predictive_accuracy 0.775321 prior_entropy 3.738083 recall 0.775321 [0.053333,0.978947,0.293939,0.472222,0,0.844388,0.986217,0.259091,0.344444,0.509091,0.748352,0.715,0.566071,0.878462,0.830769,0.945361,0.376923,0.991892,0.666154,0.848571] relative_absolute_error 0.287949 root_mean_prior_squared_error 0.211967 root_mean_squared_error 0.133183 root_relative_squared_error 0.628319 scimark_benchmark 1317.159695 [820.047279435032, 976.1676952090706, 524.8004995102859, 1075.683201074126, 3189.0998010904505] total_cost 0 usercpu_time_millis 3507020 usercpu_time_millis_testing 90 usercpu_time_millis_training 3506930 area_under_roc_curve 0.944269 [0.496774,1,0.995066,0.894702,0.496774,0.925368,0.999518,0.996026,0.480645,0.496774,0.989384,0.996711,0.875223,0.922819,0.992063,0.993836,1,1,0.861485,1] area_under_roc_curve 0.923351 [0.49026,1,0.496732,0.7,0.0,0.974068,0.995514,0.960526,1,0.496774,0.937642,1,0.845982,0.83,0.992466,0.99863,1,1,0.809037,1] area_under_roc_curve 0.921213 [0.49026,1,0.740132,0.692053,0.0,0.973876,0.993491,0.776159,0.746753,1,0.988284,0.998355,0.798214,0.925216,0.993493,1,1,1,0.813878,1] area_under_roc_curve 0.945548 [0.737013,1,0.730263,0.992715,0.487097,0.959926,0.995661,0.860197,0.470968,1,0.941421,0.871711,0.917055,0.995,0.939726,1,1,1,0.90667,0.997821] area_under_roc_curve 0.908859 [0.738636,1,0.990196,0.592053,0.496774,0.913177,0.983727,0.756954,0.980645,1,0.842123,1,0.843631,0.994727,0.981481,1,1,1,0.750403,1] area_under_roc_curve 0.938739 [0.743506,1,0.981481,0.9,0.0,0.973529,1,0.768874,0.5,1,0.940665,0.996711,0.791741,0.988495,0.932729,1,0.5,1,0.904788,1] area_under_roc_curve 0.932822 [0.5,1,0.873355,0.876159,0.0,0.886213,0.98433,0.853618,1,1,0.88511,0.994243,0.865848,1,0.997945,0.996233,0.987097,1,0.87036,1] area_under_roc_curve 0.921119 [0.748377,1,0.490196,0.87947,0.0,0.923713,0.99108,0.620066,0.99513,1,0.870748,0.874178,0.899704,1,0.93424,0.996233,0.496774,1,0.861485,0.998355] area_under_roc_curve 0.930736 [0.493548,1,0.994553,0.882781,0.0,0.98125,0.991803,0.707237,0.730519,1,0.946233,0.871711,0.801523,0.924736,0.986017,1,0.996774,1,0.826789,1] area_under_roc_curve 0.937247 [0.483871,1,0.831155,0.73,0.0,0.95486,1,0.862664,0.496753,1,0.977324,0.874178,0.86077,0.996111,0.999244,1,0.996753,1,0.875202,1] area_under_roc_curve 0.940741 [0.490323,1,0.736842,0.989404,0.0,0.988603,0.994687,0.731086,0.74513,1,0.933862,1,0.787054,0.925695,1,1,0.487097,1,0.954276,1] area_under_roc_curve 0.940992 [0.5,1,0.991285,0.89404,0.5,0.958456,0.994094,0.720395,0.5,0.5,0.99726,0.995066,0.847863,0.997778,0.983371,1,1,1,0.907477,1] area_under_roc_curve 0.907538 [0.490323,1,0.657952,0.792715,0.0,0.921245,0.983365,0.717928,0.746753,1,0.985274,0.986842,0.748201,0.995,0.985639,0.996575,0.487097,1,0.810382,0.874178] area_under_roc_curve 0.910385 [0.738636,1,0.826797,0.690728,0.0,0.9625,0.984298,0.581414,0.993548,1,0.92517,0.994243,0.815912,0.923778,0.915344,1,0.490323,1,0.786175,1] area_under_roc_curve 0.922669 [0.474194,1,0.823529,0.797351,0.5,0.969485,0.984691,0.976159,0.746753,0.496774,0.705593,0.990132,0.871985,1,0.98715,0.94589,1,1,0.868209,1] area_under_roc_curve 0.912676 [0.487013,1,0.657952,0.786755,0.0,0.955699,0.994937,0.845395,0.741883,0.490323,0.686319,0.872533,0.818028,1,0.997732,1,0.477419,1,0.935987,1] area_under_roc_curve 0.926535 [0.493506,1,0.606908,0.892715,0.0,0.916544,0.994696,0.790728,0.493548,1,0.8613,0.872533,0.861607,0.998082,0.998488,0.999658,1,1,0.928187,1] area_under_roc_curve 0.931204 [0.74513,1,0.824619,0.793377,0.0,0.955147,0.995902,0.844572,0.493548,1,0.877551,1,0.788616,1,0.995843,0.999658,1,1,0.864443,1] area_under_roc_curve 0.912035 [0.487097,1,0.736842,0.586755,0.0,0.920037,0.991321,0.566887,0.743506,1,0.99093,0.996711,0.819721,0.912222,0.995087,0.994863,0.980645,1,0.86794,1] area_under_roc_curve 0.925188 [0.483766,1,0.493464,0.828889,0.0,0.959926,0.998795,0.868421,0.496753,0.496774,0.92517,0.874178,0.915362,0.915556,0.911943,1,0.987013,1,0.902098,1] area_under_roc_curve 0.938655 [0.493548,0.996622,0.824619,0.895364,0.0,0.945037,0.976374,0.849507,0.49026,1,0.998488,1,0.795599,1,0.919501,0.994863,0.996753,1,0.985207,1] area_under_roc_curve 0.917548 [0.996774,1,0.731086,0.793377,0.493548,0.925551,0.998795,0.690789,0.74513,1,0.921769,0.872533,0.745239,1,0.933107,1,0.987097,1,0.93787,1] area_under_roc_curve 0.941791 [0.5,0.999155,0.828976,0.888079,0.0,0.970221,1,0.705592,0.743506,1,0.992063,0.998355,0.838553,0.998889,0.990174,1,1,1,0.823292,1] area_under_roc_curve 0.899254 [0.5,1,0.496732,0.895364,0.0,0.840441,0.965646,0.620888,0.5,1,0.992063,1,0.843631,0.989933,0.935752,0.996233,1,1,0.777569,1] area_under_roc_curve 0.936181 [0.980645,1,0.827887,0.797351,0.5,0.915625,1,0.890728,0.75,1,0.880574,0.872533,0.859077,0.998082,0.993953,0.996233,0.996774,1,0.916622,1] area_under_roc_curve 0.917637 [0.975649,1,0.998355,0.741667,0.0,0.806434,0.998312,0.985197,0.741883,0.487097,0.982237,0.996711,0.725984,0.921381,0.996221,0.992819,0.474194,1,0.983055,1] area_under_roc_curve 0.895273 [0.49026,1,0.656863,0.771523,0.0,0.989627,0.999518,0.689404,0.743506,1,0.860544,0.870066,0.698053,1,0.865457,0.887377,1,1,0.866595,1] area_under_roc_curve 0.934428 [0.49026,1,0.993464,0.743333,0.0,0.945588,0.999518,0.851151,0.490323,1,0.869237,0.872533,0.942023,0.924736,0.933107,0.999658,0.993548,1,0.874664,1] area_under_roc_curve 0.912131 [0.477419,1,0.490132,0.989404,0.0,0.929228,0.994817,0.552318,0.996753,1,0.920257,0.990132,0.820779,0.827778,0.930083,1,0.490323,1,0.90156,1] area_under_roc_curve 0.907802 [0.49026,1,0.872533,0.788742,0.0,0.979412,0.991562,0.736842,0.748377,1,0.929327,0.861842,0.778248,0.907778,0.822373,1,0.741883,1,0.852609,1] area_under_roc_curve 0.910834 [0.5,1,0.655773,0.816667,0.0,0.961029,0.974084,0.825658,0.496753,0.5,0.994709,0.871711,0.768091,1,0.990753,1,0.493506,1,0.861216,1] area_under_roc_curve 0.946474 [0.493548,1,0.743421,0.743333,0.496774,0.951103,1,0.728618,0.748377,1,0.938776,1,0.970165,1,1,0.995465,1,1,0.914739,1] area_under_roc_curve 0.905471 [0.483871,1,0.831155,0.590728,0.0,0.927206,0.991321,0.587171,0.74513,1,0.868103,0.745066,0.811468,0.995556,0.999244,0.95,0.74026,1,0.899946,1] area_under_roc_curve 0.936462 [0.493548,1,0.825708,0.983444,0.0,0.954596,0.979026,0.851151,1,1,0.815193,0.745066,0.812738,0.994247,0.937264,1,1,1,0.991393,1] area_under_roc_curve 0.928755 [0.496774,1,0.993421,0.896026,0.0,0.942096,0.995781,0.736842,1,0.5,0.935752,0.741776,0.84215,0.995556,0.893151,0.996233,1,1,0.862829,1] area_under_roc_curve 0.917385 [0.743506,1,0.611842,0.742778,0.0,0.975029,0.98477,0.73602,0.74026,1,0.937264,0.867599,0.856115,1,0.93802,1,1,1,0.800161,1] area_under_roc_curve 0.928323 [0.743506,1,0.995643,0.890728,0.0,0.913369,0.969383,0.594702,0.738636,0.496774,0.932351,0.998355,0.834109,0.923298,0.984127,0.996599,1,1,0.982786,1] area_under_roc_curve 0.919833 [0.733766,1,0.613487,0.825,0.0,0.895221,0.995902,0.880132,0.75,1,0.879819,0.994243,0.767668,1,0.993197,0.995087,0.487097,1,0.97149,1] area_under_roc_curve 0.923982 [0.5,1,0.614309,0.78543,0.0,0.966544,0.999759,0.769536,0.5,0.5,0.990174,0.870888,0.803639,0.998889,0.985639,0.996233,0.996774,1,0.938946,1] area_under_roc_curve 0.921783 [0.5,0.999155,0.737664,0.893377,0.0,0.958088,0.994817,0.724507,0.75,1,0.99093,0.996711,0.737198,1,0.884589,1,1,1,0.90156,1] area_under_roc_curve 0.941485 [0.493548,1,1,0.901667,0.0,0.915074,1,0.85773,0.74513,1,0.941043,0.995888,0.83559,0.996111,0.998488,0.994709,0.99513,1,0.86014,1] area_under_roc_curve 0.926127 [0.487097,1,0.871711,0.823333,0.5,0.952206,0.994937,0.782781,0.74513,1,0.922902,1,0.836014,1,0.938776,1,0.496774,1,0.870898,1] area_under_roc_curve 0.917586 [0.493548,1,0.657952,0.822222,0.0,0.907904,1,0.863487,0.487013,1,0.935374,1,0.782057,1,0.994709,0.994178,0.748377,1,0.850188,1] area_under_roc_curve 0.91788 [0.490323,1,0.825708,0.908889,0.0,0.961583,0.999759,0.862664,0.746753,1,0.867725,0.996711,0.708845,1,0.978836,0.949658,0.493548,1,0.839699,1] area_under_roc_curve 0.958126 [0.496774,1,0.617599,0.911111,0.0,0.994485,0.999518,0.85773,0.74513,1,0.997732,1,0.915362,0.993333,1,0.99863,0.993548,1,0.904519,1] area_under_roc_curve 0.918899 [0.993548,1,0.612664,0.828889,0.496774,0.956781,0.994455,0.613487,0.487013,1,0.992466,0.741776,0.820567,0.996667,0.927816,1,0.741883,1,0.95078,1] area_under_roc_curve 0.920767 [0.737013,1,0.818083,0.797351,0.0,0.96773,0.994335,0.769536,0.480519,1,0.768707,0.872533,0.765975,0.997124,1,1,0.993548,1,0.947552,1] area_under_roc_curve 0.91615 [1,1,0.613487,0.83,0.0,0.936949,1,0.670861,0.496753,0.5,0.93613,1,0.875582,1,0.995087,1,1,1,0.74099,1] area_under_roc_curve 0.906598 [0.746753,1,0.814815,0.696026,0.0,0.849816,0.978544,0.686093,0.487097,0.748377,0.871504,0.870066,0.828819,0.992222,0.989796,0.996575,0.980645,1,0.931415,1] area_under_roc_curve 0.910408 [0.733766,1,0.490132,0.876821,0.0,0.910662,0.995781,0.824013,0.483871,0.74513,0.871126,1,0.781634,0.994444,0.992819,0.994863,0.483871,1,0.877622,1] area_under_roc_curve 0.930034 [0.998377,1,0.655773,0.895,0.0,0.974265,1,0.719572,0.74026,1,0.871126,0.745066,0.827127,0.997778,0.988662,1,0.987097,1,0.857988,1] area_under_roc_curve 0.909547 [0.490323,1,0.653595,0.981111,0.493548,0.925919,0.995299,0.480132,0.49026,1,0.928571,0.998355,0.845535,1,0.930461,1,0.967742,1,0.788596,1] area_under_roc_curve 0.938942 [0.483871,0.996644,0.832244,0.817778,0.496774,0.923713,0.98433,0.983553,0.748377,1,0.931595,0.873355,0.857596,0.998889,0.938398,1,1,1,0.988166,1] area_under_roc_curve 0.915164 [0.493548,1,0.657952,0.653333,0.0,0.977334,1,0.867599,0.49026,0.493548,0.84589,1,0.851037,0.992809,0.814437,0.995548,1,1,0.900215,1] area_under_roc_curve 0.931448 [0.5,1,0.496711,0.827222,0.0,0.970037,1,0.73273,0.748377,1,0.928193,0.998355,0.892721,1,0.985261,0.899315,1,1,0.895643,1] area_under_roc_curve 0.932411 [0.490323,1,0.66122,0.738333,0.5,0.943527,1,0.601151,0.5,1,0.932729,0.996711,0.915785,0.994444,0.937264,0.949315,0.99026,1,0.991931,1] area_under_roc_curve 0.935626 [0.483871,1,1,0.903333,0.493548,0.948329,1,0.730263,0.746753,0.493548,0.877551,1,0.895683,0.985556,0.98904,1,0.73539,1,0.863367,1] area_under_roc_curve 0.909879 [0.46129,0.999041,0.863487,0.813333,0.493548,0.959007,0.995781,0.674834,0.74513,1,0.935374,1,0.694879,0.913333,0.96901,0.942933,1,1,0.910705,1] area_under_roc_curve 0.926449 [0.74513,0.996199,0.496732,0.788079,0.5,0.968382,0.966008,0.851974,1,0.5,0.871504,1,0.876005,1,0.999315,1,0.496774,1,0.906939,1] area_under_roc_curve 0.927802 [0.480519,1,0.820261,0.768212,0.483871,0.878676,0.992406,0.95148,0.467742,1,0.935752,1,0.841303,0.993768,0.996977,1,1,1,0.903712,1] area_under_roc_curve 0.908286 [0.737013,0.998311,0.48366,0.745,0.493548,0.91625,0.995661,0.825658,0.487013,0.493548,0.984505,0.996711,0.776132,0.907778,0.99093,0.991096,1,1,0.882195,1] area_under_roc_curve 0.900062 [0.74513,1,0.655773,0.98,0.0,0.897978,0.990598,0.756291,1,0.496774,0.876795,0.998355,0.786712,0.925216,0.929705,0.895548,0.74026,1,0.816568,1] area_under_roc_curve 0.936746 [0.5,1,0.828976,0.995556,0.5,0.979044,1,0.868421,1,0.5,0.870748,1,0.856115,0.926654,0.989796,1,1,1,0.833244,1] area_under_roc_curve 0.905071 [0.496774,0.999041,0.651416,0.915556,0.5,0.960238,0.994335,0.570861,0.49026,1,0.81028,1,0.760262,1,0.989418,0.949315,1,1,0.865519,1] area_under_roc_curve 0.917509 [0.993506,1,0.662309,0.890556,0.0,0.903676,0.990598,0.71875,0.493506,0.746753,0.85941,0.995066,0.799554,0.911111,1,0.996233,0.474194,1,0.94567,1] area_under_roc_curve 0.923413 [0.496774,1,0.662309,0.89404,0.496774,0.954476,0.994696,0.990954,0.748377,1,0.92328,0.869243,0.754338,0.997778,0.942123,1,0.496753,1,0.936525,1] area_under_roc_curve 0.93026 [0.490323,1,0.649237,0.822778,0.490323,0.953493,0.990357,0.864309,0.487013,1,0.931973,1,0.917478,0.996111,0.987528,0.996233,0.74026,1,0.830016,1] area_under_roc_curve 0.883134 [0.487097,1,0.650327,0.788742,0.490323,0.93373,0.977338,0.581457,0.738636,0.490323,0.837329,0.865132,0.763436,0.987778,0.935752,0.944863,0.738636,1,0.843464,1] area_under_roc_curve 0.917613 [0.496753,1,0.800654,0.831111,0.496774,0.945063,0.995299,0.60773,0.99513,1,0.870748,1,0.816741,0.999041,0.937264,0.997732,0.746753,1,0.864981,1] area_under_roc_curve 0.931986 [0.496774,1,0.815904,0.996689,0.496774,0.947794,0.970227,0.786755,0.993506,0.496774,0.990174,1,0.886585,0.772771,0.999244,1,0.487097,1,0.902367,1] area_under_roc_curve 0.921208 [0.470779,1,0.824619,0.69404,0.493548,0.949289,0.974928,0.892715,0.746753,1,0.930839,0.872533,0.858654,0.917546,0.975057,1,0.993548,1,0.887036,1] area_under_roc_curve 0.942038 [0.496753,1,1,0.895364,0.0,0.961967,0.995781,0.978808,1,1,0.93613,0.871711,0.789674,0.993289,0.93802,0.948973,0.996753,1,0.941904,1] area_under_roc_curve 0.93675 [0.496753,1,0.647059,0.907222,0.493548,0.929596,0.999759,0.978808,0.490323,1,1,0.745066,0.89251,0.923778,0.919879,1,1,1,0.95347,1] area_under_roc_curve 0.914064 [0.741883,1,0.827887,0.807222,0.493548,0.943719,0.998312,0.688079,0.996753,0.493548,0.97997,0.870888,0.798138,0.996667,0.986395,0.940287,0.477273,1,0.872512,1] area_under_roc_curve 0.922029 [0.487013,1,0.982571,0.742222,0.0,0.927199,0.998819,0.871711,0.487013,1,0.874528,0.998355,0.923214,0.99,0.866591,0.99726,0.74513,1,0.814416,1] area_under_roc_curve 0.906408 [0.487097,1,0.831155,0.794702,0.5,0.905699,0.984089,0.868874,0.74026,1,0.818972,0.870888,0.838341,0.998889,0.976568,0.949315,1,1,0.784024,0.993421] area_under_roc_curve 0.920087 [0.5,1,0.662309,0.656667,0.5,0.955147,0.999518,0.98602,0.746753,1,0.81746,0.870066,0.854846,0.994444,0.994709,1,0.483766,1,0.910705,0.995643] area_under_roc_curve 0.916581 [0.496774,1,0.825708,0.87947,0.5,0.978678,0.995868,0.726974,0.748377,0.5,0.703326,0.998355,0.843973,0.995556,0.927816,1,0.99026,1,0.817644,1] area_under_roc_curve 0.913459 [0.49026,1,0.990196,0.742222,0.490323,0.996158,0.983607,0.858553,0.49026,0.487097,0.92328,0.998355,0.756696,0.999041,0.993953,0.942555,0.74026,1,0.847768,1] area_under_roc_curve 0.905188 [0.5,1,0.989107,0.69404,0.5,0.885709,0.984652,0.688742,0.746753,1,0.870748,0.863487,0.821837,0.994727,0.993953,0.936886,0.496774,1,0.880312,1] area_under_roc_curve 0.903389 [0.5,1,0.816993,0.792715,0.5,0.906454,0.979388,0.681457,0.74513,1,0.776266,1,0.844689,0.922819,0.936508,1,0.496774,1,0.912587,1] area_under_roc_curve 0.914508 [0.746753,1,0.819172,0.696026,0.0,0.964656,0.990357,0.71875,0.741883,1,0.938398,0.873355,0.734236,0.980825,0.986772,1,0.737013,1,0.902636,0.832244] area_under_roc_curve 0.920343 [0.493506,1,0.620066,0.798675,0.496774,0.940645,0.984089,0.882781,0.746753,0.496774,0.938398,1,0.902243,0.922339,0.928949,0.999244,1,1,0.868209,1] area_under_roc_curve 0.921244 [0.743506,1,0.617599,0.690728,0.490323,0.927022,0.999277,0.88543,0.743506,0.490323,0.931217,0.993421,0.884375,0.911667,1,0.943311,0.996753,1,0.919042,0.828976] area_under_roc_curve 0.891666 [0.5,1,0.655773,0.765563,0.5,0.961199,0.97987,0.730263,0.743506,1,0.740363,1,0.74672,0.923298,0.927438,1,0.496753,1,0.896719,1] area_under_roc_curve 0.918337 [0.954839,0.999155,0.818083,0.895364,0.5,0.928676,1,0.649669,0.996753,0.5,0.876795,0.866776,0.808929,0.915556,0.931595,0.993151,1,1,0.934373,0.875] area_under_roc_curve 0.907408 [0.487097,1,0.656863,0.736667,0.490323,0.910478,1,0.731086,0.74026,0.74513,0.983371,0.864309,0.826069,1,0.917989,0.996575,0.487097,1,0.847499,1] area_under_roc_curve 0.915203 [0.493548,0.996199,0.657952,0.793377,0.496774,0.956781,0.959619,0.863487,0.748377,1,0.872638,0.874178,0.81875,0.927133,0.996575,0.949315,0.993506,1,0.903174,0.996711] area_under_roc_curve 0.924363 [0.493548,1,0.645969,0.741667,0.5,0.961199,0.98445,0.991776,0.746753,1,0.940665,0.868421,0.804063,0.911314,0.988662,0.996599,1,1,0.905325,1] area_under_roc_curve 0.923016 [0.490323,1,0.991285,0.736111,0.496774,0.948713,1,0.661589,0.49026,1,0.894521,0.996711,0.820759,1,0.990174,1,0.483871,1,0.910705,1] area_under_roc_curve 0.9167 [0.728896,1,0.730263,0.796026,0.490323,0.917787,0.994817,0.690066,0.996774,1,0.879819,0.998355,0.884046,1,0.998488,0.891096,1,1,0.855299,0.830065] area_under_roc_curve 0.917111 [0.474026,1,0.470588,0.672848,0.0,0.878025,0.995058,0.722039,0.464286,0.74026,0.920635,0.991776,0.910491,0.990892,1,0.993151,0.470968,1,0.951856,1] area_under_roc_curve 0.904683 [0.75,1,0.622533,0.693377,0.5,0.88033,0.999292,0.690728,0.5,0.5,0.92517,0.741776,0.915179,0.927613,0.925926,1,1,1,0.90425,1] area_under_roc_curve 0.911965 [0.496753,1,0.735197,0.688742,0.496774,0.931066,0.991803,0.662914,0.746753,1,0.934996,1,0.798661,1,0.995087,1,0.99513,1,0.853954,1] area_under_roc_curve 0.910916 [0.748377,1,0.657952,0.791391,0.5,0.949673,0.995178,0.572185,1,0.5,0.92706,0.998355,0.851672,1,0.929327,0.943311,0.74026,1,0.83163,0.993421] area_under_roc_curve 0.924338 [0.496753,1,0.827887,0.698013,0.0,0.90239,0.980111,0.688079,1,1,0.931973,0.993421,0.845536,0.997124,0.870748,1,0.987097,1,0.978752,1] area_under_roc_curve 0.91859 [0.987097,1,0.725329,0.993377,0.490323,0.931066,0.99554,0.852796,1,0.480645,0.781164,1,0.725349,1,0.922147,0.996575,1,1,0.937332,1] area_under_roc_curve 0.929533 [0.493548,1,0.828976,0.896026,0.5,0.905109,0.993973,0.734375,1,1,0.942555,1,0.880449,0.926174,0.998488,1,0.490323,1,0.823561,1] area_under_roc_curve 0.941159 [0.5,1,1,0.647778,0.5,0.973876,1,0.955592,0.5,1,0.885865,1,0.900973,0.926174,0.986395,1,1,1,0.919849,1] area_under_roc_curve 0.914051 [0.487097,1,0.831155,0.832222,0.487097,0.9199,0.995058,0.890728,0.987013,1,0.706349,1,0.801562,0.849952,0.939531,0.999315,1,1,0.910167,0.995066] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.762905 [0,1,0.4,0.8,0,0.731707,0.918919,0.5,0,0,0.7,0.666667,0.62069,0.857143,0.8,0.857143,1,1,0.666667,1] f_measure 0.736449 [0,0.941176,0,0.333333,0,0.75,0.933333,0.25,1,0,0.777778,0.857143,0.709677,0.727273,0.777778,0.818182,0,1,0.538462,0.666667] f_measure 0.755526 [0,1,0.4,0.333333,0,0.8,0.931507,0.222222,0.666667,1,0.736842,0.75,0.64,0.923077,0.833333,0.833333,0,1,0.56,1] f_measure 0.776193 [0,1,0.4,0.888889,0,0.808511,0.894737,0.857143,0,0,0.842105,0.666667,0.551724,0.909091,0.857143,0.909091,1,1,0.56,1] f_measure 0.733859 [0,1,0.666667,0.333333,0,0.680851,0.868421,0.25,0.666667,1,0.777778,1,0.666667,0.875,0.666667,1,1,1,0.4,1] f_measure 0.810622 [0.666667,1,0.4,0.75,0,0.791667,0.971429,0.285714,0,0,0.941176,0.888889,0.666667,0.666667,0.777778,0.952381,0,1,0.769231,1] f_measure 0.794742 [0,1,0.666667,0.545455,0,0.727273,0.956522,0,1,1,0.823529,0.75,0.645161,1,0.833333,0.909091,0,1,0.72,1] f_measure 0.746422 [0.666667,1,0,0.5,0,0.708333,0.906667,0,0.8,0,0.631579,0.857143,0.571429,1,0.875,0.909091,0,1,0.666667,0.888889] f_measure 0.806924 [0,1,0.666667,0.666667,0,0.833333,0.944444,0,0.5,1,0.818182,0.75,0.709677,0.833333,0.75,1,0.666667,1,0.636364,1] f_measure 0.777302 [0,1,0.5,0.545455,0,0.820513,0.944444,0.666667,0,0,0.7,0.666667,0.62069,0.857143,0.9,0.909091,0.666667,1,0.533333,1] f_measure 0.765839 [0,1,0.4,0.444444,0,0.8,0.909091,0.333333,0.5,1,0.75,0.857143,0.5,0.857143,0.947368,0.909091,0,1,0.636364,0.857143] f_measure 0.784094 [0,1,0.5,0.5,0,0.77551,0.906667,0.4,0,0,0.818182,0.75,0.709677,0.727273,0.823529,1,1,1,0.72,1] f_measure 0.747437 [0,1,0,0.285714,0,0.731707,0.891892,0.333333,0.666667,1,0.869565,0.8,0.592593,0.769231,0.888889,0.952381,0,1,0.518519,0.857143] f_measure 0.76796 [0,1,0.5,0.5,0,0.75,0.931507,0.333333,0.5,1,0.8,0.666667,0.645161,0.769231,0.705882,0.947368,0,1,0.64,1] f_measure 0.76626 [0,1,0.5,0.571429,0,0.755556,0.929577,0.285714,0.666667,0,0.470588,0.75,0.615385,0.933333,0.941176,0.9,1,1,0.692308,1] f_measure 0.743728 [0,1,0.4,0.6,0,0.820513,0.871795,0,0.666667,0,0.333333,0.666667,0.625,1,0.947368,0.952381,0,1,0.666667,0.857143] f_measure 0.780497 [0,0.941176,0,0.8,0,0.761905,0.916667,0.571429,0,1,0.444444,0.75,0.733333,0.933333,0.888889,0.947368,1,1,0.709677,1] f_measure 0.778512 [0,1,0.571429,0.571429,0,0.808511,0.931507,0,0,1,0.777778,1,0.518519,0.875,0.947368,0.947368,0,1,0.666667,0.857143] f_measure 0.716572 [0,0.888889,0.4,0,0,0.697674,0.829268,0,0.666667,1,0.782609,0.857143,0.551724,0.909091,0.947368,0.9,0,1,0.72,0.8] f_measure 0.742632 [0,1,0,0.666667,0,0.690909,0.957746,0.857143,0,0,0.761905,0.666667,0.6,0.909091,0.5,1,0,1,0.758621,0.5] f_measure 0.763537 [0,0.941176,0,0.666667,0,0.734694,0.891892,0.4,0,0.666667,0.888889,0.857143,0.482759,1,0.8,0.9,0.8,1,0.758621,1] f_measure 0.718581 [0.666667,1,0.333333,0.75,0,0.702703,0.891892,0,0.666667,1,0.631579,0.666667,0.387097,0.923077,0.727273,0.947368,0,1,0.666667,0.857143] f_measure 0.780227 [0,0.875,0.8,0.545455,0,0.782609,0.957746,0,0,0,0.727273,0.857143,0.666667,0.909091,0.875,1,1,1,0.62069,0.666667] f_measure 0.735619 [0,1,0,0.75,0,0.608696,0.88,0,0,0,0.8,1,0.689655,0.823529,0.8,0.952381,1,1,0.5,1] f_measure 0.778044 [0,1,0.8,0.333333,0,0.666667,0.918919,0.8,0.666667,1,0.777778,0.666667,0.625,0.923077,0.666667,0.952381,0.666667,1,0.727273,1] f_measure 0.707875 [0,1,0.857143,0.285714,0,0.628571,0.829268,0.5,0,0,0.727273,0.75,0.482759,0.666667,0.9,0.888889,0,1,0.769231,1] f_measure 0.722353 [0,1,0.4,0.363636,0,0.761905,0.871795,0.285714,0.666667,1,0.636364,0.666667,0.444444,1,0.666667,0.823529,0,1,0.769231,0.857143] f_measure 0.767205 [0,1,0.8,0.666667,0,0.755556,0.944444,0,0,1,0.608696,0.857143,0.689655,0.8,0.761905,0.947368,0,1,0.692308,0.5] f_measure 0.732085 [0,1,0,0.75,0,0.761905,0.906667,0,0,1,0.666667,0.666667,0.647059,0.666667,0.8,0.952381,0,1,0.615385,1] f_measure 0.756203 [0,1,0.857143,0.5,0,0.790698,0.931507,0.4,0.666667,1,0.727273,0.571429,0.529412,0.714286,0.75,0.947368,0.5,1,0.56,1] f_measure 0.740458 [0,1,0.285714,0.6,0,0.72,0.888889,0,0,0,0.823529,0.75,0.533333,0.923077,0.888889,0.947368,0,1,0.692308,1] f_measure 0.821535 [0,1,0.666667,0.666667,0,0.780488,0.944444,0.333333,0.666667,1,0.777778,0.75,0.736842,1,0.888889,0.842105,1,1,0.769231,1] f_measure 0.739708 [0,0.933333,0.5,0,0,0.790698,0.944444,0,0.5,1,0.571429,0.666667,0.578947,0.923077,0.9,0.888889,0.4,0.857143,0.666667,0.857143] f_measure 0.780049 [0,1,0.5,0.5,0,0.731707,0.916667,0.4,0.666667,1,0.545455,0.666667,0.555556,0.933333,0.777778,1,1,1,0.8,1] f_measure 0.75031 [0,0.941176,0,0.8,0,0.666667,0.944444,0.571429,0,0,0.736842,0.333333,0.692308,0.923077,0.823529,0.952381,0,1,0.642857,0.8] f_measure 0.767039 [0,1,0,0.444444,0,0.790698,0.931507,0.285714,0,1,0.823529,0.857143,0.540541,1,0.888889,0.947368,1,1,0.666667,1] f_measure 0.757393 [0,1,0.8,0.333333,0,0.727273,0.914286,0.333333,0.666667,0,0.7,0.857143,0.606061,0.8,0.7,0.947368,0.666667,1,0.740741,0.857143] f_measure 0.732784 [0,0.923077,0,0.727273,0,0.666667,0.931507,0.25,0.666667,1,0.777778,0.888889,0.5,1,0.842105,0.9,0,1,0.666667,0.5] f_measure 0.730707 [0,1,0,0.4,0,0.769231,0.906667,0.5,0,0,0.705882,0.571429,0.538462,0.833333,0.842105,0.909091,0.666667,1,0.75,0.8] f_measure 0.799046 [0,0.875,0.333333,0.8,0,0.857143,0.927536,0.333333,0.666667,1,0.818182,0.857143,0.642857,0.857143,0.761905,0.952381,1,1,0.689655,1] f_measure 0.813642 [0,1,1,0.5,0,0.829268,0.918919,0.5,0.666667,1,0.888889,0.8,0.689655,0.923077,0.875,0.888889,0.5,1,0.615385,0.857143] f_measure 0.786866 [0,1,0.666667,0.444444,0,0.818182,0.956522,0.444444,0.5,1,0.666667,0.888889,0.606061,0.923077,0.888889,1,0,1,0.608696,1] f_measure 0.751219 [0,1,0.5,0.8,0,0.634146,0.931507,0,0,1,0.8,0.666667,0.55,0.923077,0.941176,0.9,0.666667,1,0.580645,0.857143] f_measure 0.762646 [0,0.933333,0.666667,0.727273,0,0.723404,0.894737,0.4,0.666667,0,0.636364,0.75,0.571429,0.923077,0.777778,0.947368,0,1,0.666667,1] f_measure 0.841788 [0,1,0.4,0.8,0,0.863636,0.944444,0.333333,0.666667,1,0.857143,1,0.774194,0.857143,0.9,0.9,0,1,0.75,1] f_measure 0.723898 [0,1,0.333333,0.5,0,0.680851,0.906667,0,0,0,0.833333,0.333333,0.533333,0.857143,0.842105,1,0.666667,1,0.695652,1] f_measure 0.756361 [0.5,1,0.333333,0.571429,0,0.714286,0.894737,0.333333,0,1,0.666667,0.666667,0.5625,0.75,0.947368,0.941176,0,1,0.769231,1] f_measure 0.761926 [0.666667,1,0.285714,0.8,0,0.723404,0.944444,0,0,0,0.8,0.666667,0.647059,0.923077,0.9,1,1,1,0.5,1] f_measure 0.731248 [0.666667,1,0,0.571429,0,0.666667,0.942857,0,0,0.666667,0.631579,0.571429,0.666667,0.857143,0.761905,0.952381,0,1,0.666667,0.666667] f_measure 0.721853 [0,1,0,0.444444,0,0.666667,0.931507,0.285714,0,0.666667,0.555556,1,0.533333,0.833333,0.736842,0.857143,0,1,0.818182,0.666667] f_measure 0.763225 [0,0.933333,0.5,0.545455,0,0.708333,0.894737,0.571429,0.5,1,0.666667,0.666667,0.666667,0.923077,0.823529,1,0,1,0.615385,1] f_measure 0.741001 [0,1,0.333333,0.714286,0,0.680851,0.931507,0,0,1,0.636364,1,0.666667,0.923077,0.777778,1,0,1,0.5,1] f_measure 0.780894 [0,0.933333,0,0.5,0,0.755556,0.929577,0.666667,0.666667,1,0.777778,0.666667,0.647059,0.833333,0.823529,0.909091,0,1,0.8,1] f_measure 0.749607 [0,0.933333,0,0.5,0,0.790698,0.918919,0.75,0,0,0.777778,0.571429,0.606061,0.857143,0.625,0.818182,1,1,0.689655,1] f_measure 0.770881 [0,1,0,0.6,0,0.73913,0.931507,0.333333,0.666667,1,0.6,0.857143,0.685714,1,0.842105,0.888889,1,1,0.583333,1] f_measure 0.794118 [0,1,0.4,0.6,0,0.744186,0.931507,0.333333,0,0,0.666667,0.857143,0.764706,0.909091,0.842105,0.9,0.666667,1,0.857143,1] f_measure 0.769017 [0,1,0.8,0.666667,0,0.75,0.921053,0.333333,0.666667,0,0.705882,0.857143,0.727273,0.714286,0.727273,0.952381,0,1,0.608696,1] f_measure 0.72978 [0,0.933333,0.571429,0.25,0,0.755556,0.931507,0.25,0.666667,1,0.736842,0.75,0.4375,0.909091,0.666667,0.941176,0.666667,1,0.769231,0.5] f_measure 0.755079 [0,0.941176,0,0.571429,0,0.714286,0.837838,0.4,1,0,0.631579,0.857143,0.787879,0.909091,0.909091,0.869565,0,1,0.714286,1] f_measure 0.731489 [0,0.933333,0.5,0.571429,0,0.769231,0.839506,0.333333,0,0,0.7,0.888889,0.48,0.875,0.761905,1,0,1,0.740741,0.8] f_measure 0.704842 [0,0.941176,0,0.5,0,0.714286,0.906667,0,0,0,0.761905,0.888889,0.62069,0.769231,0.761905,0.909091,0,1,0.5,1] f_measure 0.713649 [0,0.923077,0.4,0.5,0,0.681818,0.891892,0.25,0,0,0.7,1,0.645161,0.75,0.842105,0.777778,0.4,1,0.521739,1] f_measure 0.785032 [0,0.933333,0.5,0.833333,0,0.772727,0.944444,0.75,1,0,0.636364,0.666667,0.642857,0.857143,0.705882,0.952381,1,1,0.666667,1] f_measure 0.719854 [0,0.923077,0.4,0.8,0,0.744186,0.860759,0,0,1,0.555556,1,0.615385,0.909091,0.761905,0.9,0,0.857143,0.6,0.857143] f_measure 0.767514 [0.5,0.933333,0.5,0.545455,0,0.790698,0.906667,0.285714,0,0.666667,0.526316,0.857143,0.666667,0.769231,0.9,0.9,0,1,0.8,0.857143] f_measure 0.755401 [0,1,0.5,0.666667,0,0.755556,0.929577,0.571429,0.666667,1,0.666667,0.666667,0.5,0.714286,0.842105,0.888889,0,1,0.666667,1] f_measure 0.776504 [0,1,0,0.25,0,0.790698,0.906667,0.666667,0,1,0.8,1,0.705882,0.923077,0.823529,0.952381,0.666667,1,0.64,1] f_measure 0.670329 [0,1,0.333333,0.666667,0,0.708333,0.88,0,0.5,0,0.666667,0.571429,0.5625,0.615385,0.823529,0.818182,0.5,1,0.235294,1] f_measure 0.77875 [0,1,0,0.8,0,0.75,0.931507,0.333333,0.5,0,0.736842,1,0.666667,0.923077,0.8,0.941176,0.666667,1,0.666667,1] f_measure 0.763461 [0,1,0.333333,0.909091,0,0.772727,0.88,0,0.5,0,0.75,0.857143,0.648649,0.615385,1,1,0,1,0.666667,1] f_measure 0.750459 [0,1,0.5,0.333333,0,0.772727,0.868421,0.75,0.666667,0,0.736842,0.857143,0.666667,0.769231,0.608696,1,0,1,0.642857,1] f_measure 0.796797 [0,1,1,0.727273,0,0.818182,0.957746,0.4,0,1,0.842105,0.571429,0.5,0.875,0.875,0.857143,0.666667,1,0.714286,1] f_measure 0.770238 [0,1,0,0.769231,0,0.711111,0.906667,0.333333,0,1,0.9,0.571429,0.6875,0.857143,0.705882,1,0,1,0.8,1] f_measure 0.739389 [0,1,0.571429,0.363636,0,0.790698,0.894737,0,0.8,0,0.6,0.666667,0.689655,0.923077,0.8,0.875,0,1,0.769231,1] f_measure 0.737068 [0,1,0.5,0.5,0,0.65,0.894737,0.857143,0,0,0.75,0.75,0.647059,0.666667,0.608696,0.947368,0.666667,1,0.615385,1] f_measure 0.714153 [0,1,0,0.666667,0,0.68,0.927536,0.4,0,1,0.625,0.75,0.62069,0.909091,0.666667,0.947368,1,1,0.5,0.333333] f_measure 0.766069 [0,0.923077,0.5,0.444444,0,0.76,0.929577,0.75,0.5,1,0.6,0.666667,0.645161,0.923077,0.75,1,0,1,0.75,0.666667] f_measure 0.747603 [0,0.941176,0.4,0.545455,0,0.730769,0.945946,0.666667,0.666667,0,0.5,0.75,0.62069,0.923077,0.588235,1,0,1,0.608696,1] f_measure 0.743008 [0,1,0.4,0.5,0,0.844444,0.929577,0.5,0,0,0.636364,0.857143,0.444444,0.933333,0.857143,0.941176,0.666667,1,0.518519,1] f_measure 0.695127 [0,0.933333,0,0.571429,0,0.648649,0.894737,0,0.666667,1,0.631579,0.5,0.648649,0.857143,0.761905,0.842105,0,1,0.5,0.857143] f_measure 0.759208 [0,0.923077,0.444444,0.666667,0,0.810811,0.891892,0.285714,0.5,0,0.714286,0.666667,0.647059,0.75,0.842105,1,0,1,0.709677,1] f_measure 0.752348 [0,1,0.5,0.571429,0,0.857143,0.894737,0,0.5,1,0.761905,0.857143,0.62069,0.666667,0.736842,1,0,1,0.666667,0.5] f_measure 0.744624 [0,0.933333,0.4,0.571429,0,0.782609,0.891892,0.333333,0.666667,0,0.8,0.857143,0.684211,0.615385,0.736842,0.888889,1,1,0.636364,0.857143] f_measure 0.718773 [0,0.933333,0,0.285714,0,0.72,0.90411,0.727273,0.666667,0,0.736842,0.75,0.714286,0.714286,0.888889,0.941176,0,1,0.518519,0.5] f_measure 0.681602 [0,1,0.5,0.222222,0,0.697674,0.929577,0,0.4,1,0.3,0.666667,0.4375,0.857143,0.736842,0.947368,0,1,0.666667,0.857143] f_measure 0.763455 [0,0.875,0.5,0.8,0,0.772727,0.957746,0,0.8,0,0.7,0.5,0.666667,0.909091,0.823529,0.869565,1,1,0.642857,0.857143] f_measure 0.728388 [0,0.933333,0.4,0.666667,0,0.761905,0.883117,0.333333,0,0.666667,0.727273,0.5,0.645161,0.8,0.588235,0.9,0,1,0.642857,1] f_measure 0.759232 [0,0.875,0,0.5,0,0.772727,0.873239,0.666667,0.666667,1,0.736842,0.857143,0.625,0.833333,0.869565,0.9,0.666667,1,0.72,0.571429] f_measure 0.790997 [0,1,0.4,0.666667,0,0.829268,0.942857,0.571429,0.666667,0,0.777778,0.5,0.62069,0.631579,0.761905,0.9,1,1,0.833333,1] f_measure 0.776548 [0,1,0.8,0.4,0,0.723404,0.931507,0.363636,0,1,0.777778,0.857143,0.538462,1,0.888889,1,0,1,0.714286,1] f_measure 0.733771 [0,0.923077,0.4,0.571429,0,0.714286,0.88,0.333333,0.666667,1,0.7,0.857143,0.514286,0.933333,0.888889,0.8,1,1,0.64,0.8] f_measure 0.707161 [0,1,0,0.25,0,0.636364,0.857143,0.333333,0,0,0.588235,0.75,0.702703,0.8,0.875,0.842105,0,1,0.8,0.666667] f_measure 0.7364 [0,1,0.333333,0.333333,0,0.666667,0.933333,0.25,0,0,0.695652,0.571429,0.758621,0.833333,0.823529,1,0,0.8,0.689655,1] f_measure 0.71682 [0,1,0.285714,0,0,0.734694,0.906667,0,0.666667,0,0.666667,1,0.5,0.909091,0.947368,0.947368,0.5,1,0.64,1] f_measure 0.731286 [0.666667,1,0.5,0.666667,0,0.723404,0.944444,0,1,0,0.6,0.888889,0.516129,1,0.823529,0.888889,0.5,1,0.583333,0.333333] f_measure 0.774131 [0,0.941176,0,0.571429,0,0.809524,0.927536,0.5,1,0,0.8,0.8,0.645161,0.8,0.666667,1,0,1,0.8,0.857143] f_measure 0.73441 [0,1,0,0.666667,0,0.744186,0.918919,0.4,1,0,0.444444,1,0.551724,0.923077,0.631579,0.952381,0,1,0.6875,1] f_measure 0.803332 [0,1,0.5,0.888889,0,0.695652,0.944444,0.333333,1,1,0.842105,0.857143,0.705882,0.923077,0.941176,0.952381,0,1,0.583333,0.666667] f_measure 0.791302 [0,1,0.8,0.4,0,0.744186,0.921053,0.4,0,1,0.777778,1,0.647059,0.833333,0.666667,1,1,1,0.833333,1] f_measure 0.762522 [0,1,0.666667,0.8,0,0.75,0.90411,0.333333,0,1,0.5,1,0.529412,0.666667,0.941176,0.947368,1,1,0.72,0.888889] kappa 0.755226 kappa 0.731934 kappa 0.755283 kappa 0.775394 kappa 0.725898 kappa 0.806059 kappa 0.791943 kappa 0.746788 kappa 0.798357 kappa 0.770229 kappa 0.760569 kappa 0.782629 kappa 0.741186 kappa 0.754603 kappa 0.75466 kappa 0.739227 kappa 0.77702 kappa 0.776638 kappa 0.723211 kappa 0.739179 kappa 0.761357 kappa 0.705321 kappa 0.769667 kappa 0.732307 kappa 0.761368 kappa 0.696231 kappa 0.711058 kappa 0.755181 kappa 0.725365 kappa 0.74066 kappa 0.733037 kappa 0.812872 kappa 0.732951 kappa 0.762338 kappa 0.746812 kappa 0.754955 kappa 0.748561 kappa 0.726606 kappa 0.73217 kappa 0.792353 kappa 0.799006 kappa 0.777839 kappa 0.73253 kappa 0.747281 kappa 0.841727 kappa 0.725454 kappa 0.740349 kappa 0.761997 kappa 0.720031 kappa 0.704573 kappa 0.747058 kappa 0.733678 kappa 0.776948 kappa 0.747211 kappa 0.761656 kappa 0.790827 kappa 0.761832 kappa 0.718997 kappa 0.75416 kappa 0.724893 kappa 0.711658 kappa 0.697465 kappa 0.777153 kappa 0.710333 kappa 0.748109 kappa 0.741031 kappa 0.776059 kappa 0.667962 kappa 0.770092 kappa 0.761402 kappa 0.739964 kappa 0.79241 kappa 0.768803 kappa 0.740529 kappa 0.718255 kappa 0.69819 kappa 0.748039 kappa 0.739964 kappa 0.741722 kappa 0.68907 kappa 0.748225 kappa 0.747526 kappa 0.73959 kappa 0.71849 kappa 0.669233 kappa 0.755632 kappa 0.717771 kappa 0.748376 kappa 0.778521 kappa 0.76972 kappa 0.718412 kappa 0.702498 kappa 0.731984 kappa 0.725238 kappa 0.719528 kappa 0.77063 kappa 0.732976 kappa 0.791059 kappa 0.782962 kappa 0.741674 kb_relative_information_score 121.975505 kb_relative_information_score 116.344253 kb_relative_information_score 117.196451 kb_relative_information_score 121.305075 kb_relative_information_score 115.428997 kb_relative_information_score 121.79579 kb_relative_information_score 121.041312 kb_relative_information_score 116.903406 kb_relative_information_score 119.384651 kb_relative_information_score 121.805063 kb_relative_information_score 122.40491 kb_relative_information_score 121.758531 kb_relative_information_score 114.427038 kb_relative_information_score 111.754032 kb_relative_information_score 114.339109 kb_relative_information_score 112.603228 kb_relative_information_score 119.478934 kb_relative_information_score 122.004864 kb_relative_information_score 112.154928 kb_relative_information_score 114.714024 kb_relative_information_score 122.730646 kb_relative_information_score 115.071387 kb_relative_information_score 123.983285 kb_relative_information_score 115.505135 kb_relative_information_score 123.166645 kb_relative_information_score 115.185811 kb_relative_information_score 109.598633 kb_relative_information_score 118.885757 kb_relative_information_score 112.050154 kb_relative_information_score 114.433376 kb_relative_information_score 112.014031 kb_relative_information_score 125.182433 kb_relative_information_score 112.976057 kb_relative_information_score 122.135913 kb_relative_information_score 120.409602 kb_relative_information_score 117.934661 kb_relative_information_score 118.013447 kb_relative_information_score 116.895996 kb_relative_information_score 112.707415 kb_relative_information_score 120.3914 kb_relative_information_score 126.889463 kb_relative_information_score 118.834507 kb_relative_information_score 115.079384 kb_relative_information_score 117.191406 kb_relative_information_score 126.791329 kb_relative_information_score 113.546146 kb_relative_information_score 116.422637 kb_relative_information_score 117.407335 kb_relative_information_score 114.705233 kb_relative_information_score 110.604627 kb_relative_information_score 118.079611 kb_relative_information_score 113.901307 kb_relative_information_score 122.060146 kb_relative_information_score 115.928926 kb_relative_information_score 119.908123 kb_relative_information_score 120.165788 kb_relative_information_score 119.994415 kb_relative_information_score 114.369272 kb_relative_information_score 116.998855 kb_relative_information_score 114.472519 kb_relative_information_score 110.097539 kb_relative_information_score 108.771807 kb_relative_information_score 122.89907 kb_relative_information_score 111.957549 kb_relative_information_score 115.044348 kb_relative_information_score 118.452652 kb_relative_information_score 118.571905 kb_relative_information_score 105.017251 kb_relative_information_score 119.238082 kb_relative_information_score 118.539146 kb_relative_information_score 115.304455 kb_relative_information_score 125.453061 kb_relative_information_score 118.599302 kb_relative_information_score 113.465444 kb_relative_information_score 112.811529 kb_relative_information_score 113.779842 kb_relative_information_score 115.657615 kb_relative_information_score 115.508558 kb_relative_information_score 115.287479 kb_relative_information_score 110.999386 kb_relative_information_score 115.726006 kb_relative_information_score 115.792822 kb_relative_information_score 115.053071 kb_relative_information_score 113.644023 kb_relative_information_score 107.6713 kb_relative_information_score 115.095642 kb_relative_information_score 112.201483 kb_relative_information_score 118.753131 kb_relative_information_score 121.601037 kb_relative_information_score 118.648512 kb_relative_information_score 115.064099 kb_relative_information_score 110.313985 kb_relative_information_score 111.596463 kb_relative_information_score 115.123476 kb_relative_information_score 114.793787 kb_relative_information_score 120.265872 kb_relative_information_score 114.357857 kb_relative_information_score 123.236282 kb_relative_information_score 122.185027 kb_relative_information_score 118.137696 mean_absolute_error 0.023974 mean_absolute_error 0.026157 mean_absolute_error 0.02587 mean_absolute_error 0.023232 mean_absolute_error 0.028632 mean_absolute_error 0.023884 mean_absolute_error 0.024342 mean_absolute_error 0.025244 mean_absolute_error 0.024104 mean_absolute_error 0.022961 mean_absolute_error 0.022078 mean_absolute_error 0.022872 mean_absolute_error 0.027796 mean_absolute_error 0.029372 mean_absolute_error 0.027916 mean_absolute_error 0.027067 mean_absolute_error 0.023403 mean_absolute_error 0.022897 mean_absolute_error 0.028602 mean_absolute_error 0.025898 mean_absolute_error 0.023708 mean_absolute_error 0.027984 mean_absolute_error 0.023384 mean_absolute_error 0.025917 mean_absolute_error 0.023203 mean_absolute_error 0.028505 mean_absolute_error 0.030675 mean_absolute_error 0.023974 mean_absolute_error 0.029121 mean_absolute_error 0.026987 mean_absolute_error 0.026802 mean_absolute_error 0.019884 mean_absolute_error 0.026501 mean_absolute_error 0.023539 mean_absolute_error 0.023676 mean_absolute_error 0.025787 mean_absolute_error 0.026871 mean_absolute_error 0.026316 mean_absolute_error 0.028275 mean_absolute_error 0.02399 mean_absolute_error 0.020815 mean_absolute_error 0.024586 mean_absolute_error 0.027411 mean_absolute_error 0.026905 mean_absolute_error 0.020481 mean_absolute_error 0.027574 mean_absolute_error 0.026837 mean_absolute_error 0.02454 mean_absolute_error 0.02722 mean_absolute_error 0.028078 mean_absolute_error 0.026342 mean_absolute_error 0.026506 mean_absolute_error 0.023889 mean_absolute_error 0.023897 mean_absolute_error 0.02322 mean_absolute_error 0.023709 mean_absolute_error 0.023818 mean_absolute_error 0.027521 mean_absolute_error 0.024525 mean_absolute_error 0.02719 mean_absolute_error 0.029468 mean_absolute_error 0.031907 mean_absolute_error 0.022318 mean_absolute_error 0.029509 mean_absolute_error 0.026765 mean_absolute_error 0.024926 mean_absolute_error 0.023729 mean_absolute_error 0.031766 mean_absolute_error 0.024721 mean_absolute_error 0.025533 mean_absolute_error 0.027777 mean_absolute_error 0.021937 mean_absolute_error 0.024539 mean_absolute_error 0.027298 mean_absolute_error 0.028353 mean_absolute_error 0.029441 mean_absolute_error 0.025776 mean_absolute_error 0.02645 mean_absolute_error 0.027426 mean_absolute_error 0.029517 mean_absolute_error 0.024749 mean_absolute_error 0.02687 mean_absolute_error 0.02607 mean_absolute_error 0.027211 mean_absolute_error 0.031335 mean_absolute_error 0.02748 mean_absolute_error 0.026698 mean_absolute_error 0.025966 mean_absolute_error 0.023883 mean_absolute_error 0.023992 mean_absolute_error 0.026788 mean_absolute_error 0.028557 mean_absolute_error 0.026606 mean_absolute_error 0.027286 mean_absolute_error 0.026688 mean_absolute_error 0.025611 mean_absolute_error 0.027886 mean_absolute_error 0.022951 mean_absolute_error 0.021687 mean_absolute_error 0.025424 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089868 mean_prior_absolute_error 0.089978 mean_prior_absolute_error 0.08988 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.08991 mean_prior_absolute_error 0.089884 mean_prior_absolute_error 0.089853 mean_prior_absolute_error 0.089954 mean_prior_absolute_error 0.089807 mean_prior_absolute_error 0.089902 mean_prior_absolute_error 0.08994 mean_prior_absolute_error 0.089763 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.0899 mean_prior_absolute_error 0.089929 mean_prior_absolute_error 0.089877 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089869 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089906 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089935 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089866 mean_prior_absolute_error 0.08986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089905 mean_prior_absolute_error 0.089933 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089896 mean_prior_absolute_error 0.089899 mean_prior_absolute_error 0.089913 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089909 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089859 mean_prior_absolute_error 0.089931 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089889 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089953 mean_prior_absolute_error 0.089951 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089964 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089947 mean_prior_absolute_error 0.089919 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089893 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089904 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089867 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089958 mean_prior_absolute_error 0.089984 mean_prior_absolute_error 0.09001 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.090015 mean_prior_absolute_error 0.089968 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.090001 mean_prior_absolute_error 0.089938 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089963 mean_prior_absolute_error 0.089838 mean_prior_absolute_error 0.090012 number_of_instances 156 [1,7,4,5,1,20,34,5,1,1,10,4,16,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,35,4,2,1,9,4,16,6,10,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,19,34,5,2,1,9,4,16,7,10,10,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,10,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,1,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,1,9,4,16,7,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,10,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,4,5,0,20,35,4,2,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,4,2,1,10,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,19,34,4,2,2,10,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,35,4,1,2,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,5,1,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,5,0,20,34,4,2,2,9,4,17,6,9,10,2,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,20,34,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,10,9,2,3,13,4] number_of_instances 156 [1,7,4,6,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,19,35,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,2,4,13,4] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,7,4,6,1,19,34,4,2,1,10,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,7,3,6,1,20,34,5,2,1,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [1,7,3,6,0,19,34,4,2,1,10,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,7,3,6,0,20,34,5,1,1,9,4,17,7,9,10,2,3,13,3] number_of_instances 156 [2,7,3,6,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,2,2,9,4,16,6,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,17,6,10,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,5,1,19,34,5,2,1,10,4,17,6,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,1,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,20,34,5,1,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,5,2,1,9,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,6,0,19,35,4,2,1,9,4,16,6,9,10,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3] number_of_instances 156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4] number_of_instances 156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4] precision 0.763336 [0,1,1,0.8,0,0.714286,0.85,0.666667,0,0,0.7,0.6,0.692308,0.857143,0.727273,0.818182,1,1,0.642857,1] precision 0.745593 [0,0.888889,0,1,0,0.62069,0.875,0.25,1,0,0.777778,1,0.733333,0.8,0.875,0.75,0,1,0.538462,1] precision 0.784847 [0,1,1,1,0,0.692308,0.871795,0.25,1,1,0.7,0.75,0.888889,1,0.714286,0.714286,0,1,0.583333,1] precision 0.783524 [0,1,1,1,0,0.703704,0.809524,1,0,0,0.8,1,0.666667,1,0.818182,0.833333,1,1,0.583333,1] precision 0.752808 [0,1,0.666667,1,0,0.571429,0.785714,0.333333,0.5,1,0.875,1,0.769231,0.777778,0.666667,1,1,1,0.571429,1] precision 0.81976 [1,1,0.5,1,0,0.678571,0.944444,0.5,0,0,1,0.8,0.818182,0.545455,0.777778,0.909091,0,1,0.769231,1] precision 0.786271 [0,1,1,0.5,0,0.666667,0.942857,0,1,1,0.875,0.75,0.666667,1,0.714286,0.833333,0,1,0.75,1] precision 0.741402 [1,1,0,0.666667,0,0.607143,0.829268,0,0.666667,0,0.6,1,0.727273,1,1,0.833333,0,1,0.642857,0.8] precision 0.81179 [0,1,0.666667,0.75,0,0.714286,0.894737,0,0.5,1,0.75,0.75,0.785714,1,0.857143,1,0.5,1,0.777778,1] precision 0.788545 [0,1,1,0.6,0,0.8,0.894737,1,0,0,0.636364,1,0.75,0.75,0.818182,0.833333,1,1,0.470588,1] precision 0.779436 [0,1,1,0.5,0,0.666667,0.833333,0.5,0.5,1,0.857143,1,0.583333,0.857143,0.9,0.833333,0,1,0.777778,1] precision 0.794321 [0,1,1,0.666667,0,0.655172,0.829268,1,0,0,0.75,0.75,0.785714,0.8,0.875,1,1,1,0.75,1] precision 0.75218 [0,1,0,0.5,0,0.681818,0.825,0.5,1,1,0.769231,0.666667,0.8,0.714286,0.888889,0.909091,0,1,0.5,1] precision 0.776781 [0,1,1,0.666667,0,0.642857,0.894737,0.5,0.333333,1,0.727273,0.6,0.714286,0.833333,0.75,1,0,1,0.666667,1] precision 0.777705 [0,1,1,1,0,0.68,0.891892,0.5,1,0,0.5,0.75,0.545455,0.875,1,0.9,1,1,0.692308,1] precision 0.735809 [0,1,0.5,0.6,0,0.842105,0.772727,0,1,0,0.333333,1,0.666667,1,0.9,0.909091,0,1,0.588235,1] precision 0.774511 [0,0.888889,0,0.8,0,0.727273,0.868421,1,0,1,0.444444,0.75,0.785714,0.875,0.888889,1,1,1,0.611111,1] precision 0.782158 [0,1,0.5,1,0,0.703704,0.871795,0,0,1,0.777778,1,0.7,0.777778,0.9,1,0,1,0.642857,1] precision 0.714717 [0,0.8,1,0,0,0.652174,0.708333,0,1,1,0.642857,1,0.666667,1,0.9,0.9,0,1,0.75,1] precision 0.75609 [0,1,0,1,0,0.542857,0.918919,1,0,0,0.666667,1,0.692308,1,0.571429,1,0,1,0.6875,1] precision 0.772515 [0,0.888889,0,0.75,0,0.62069,0.825,1,0,1,0.888889,1,0.583333,1,1,0.9,0.666667,1,0.6875,1] precision 0.724091 [0.5,1,0.5,1,0,0.764706,0.825,0,1,1,0.6,1,0.428571,0.857143,0.615385,0.9,0,1,0.588235,1] precision 0.785367 [0,0.875,1,0.5,0,0.692308,0.918919,0,0,0,0.615385,1,0.769231,1,1,1,1,1,0.5625,1] precision 0.730159 [0,1,0,1,0,0.538462,0.804878,0,0,0,0.727273,1,0.833333,0.7,1,0.909091,1,1,0.466667,1] precision 0.813125 [0,1,1,1,0,0.548387,0.85,0.8,1,1,0.777778,1,0.666667,1,0.833333,0.909091,0.5,1,0.888889,1] precision 0.731851 [0,1,1,1,0,0.733333,0.708333,0.5,0,0,0.615385,0.75,0.583333,0.8,0.818182,0.888889,0,1,0.769231,1] precision 0.731269 [0,1,0.5,0.333333,0,0.695652,0.772727,0.5,1,1,0.538462,1,0.6,1,0.666667,0.875,0,1,0.769231,1] precision 0.781652 [0,1,1,1,0,0.68,0.894737,0,0,1,0.5,1,0.833333,0.75,0.666667,1,0,1,0.692308,1] precision 0.720365 [0,1,0,1,0,0.727273,0.829268,0,0,1,0.666667,1,0.647059,0.666667,0.727273,0.909091,0,1,0.615385,1] precision 0.769293 [0,1,1,0.666667,0,0.73913,0.871795,1,1,1,0.615385,0.666667,0.529412,0.625,0.857143,1,0.5,1,0.583333,1] precision 0.733724 [0,1,0.25,0.75,0,0.6,0.842105,0,0,0,0.875,0.75,0.615385,0.857143,1,0.9,0,1,0.692308,1] precision 0.828157 [0,1,1,1,0,0.761905,0.894737,0.5,1,1,0.777778,0.75,0.666667,1,0.888889,0.8,1,1,0.769231,1] precision 0.738069 [0,1,1,0,0,0.73913,0.894737,0,0.5,1,0.5,1,0.52381,0.857143,0.818182,1,0.333333,1,0.642857,1] precision 0.802596 [0,1,1,0.666667,0,0.714286,0.868421,1,1,1,0.461538,1,0.526316,0.875,0.777778,1,1,1,0.833333,1] precision 0.763595 [0,0.888889,0,0.8,0,0.529412,0.894737,0.666667,0,0,0.7,0.5,1,0.857143,1,0.909091,0,1,0.6,1] precision 0.763058 [0,1,0,0.666667,0,0.708333,0.894737,0.333333,0,1,0.875,1,0.5,1,0.888889,0.9,1,1,0.727273,1] precision 0.785881 [0,1,1,1,0,0.64,0.888889,1,1,0,0.636364,1,0.625,0.75,0.636364,0.9,0.5,1,0.714286,1] precision 0.734402 [0,1,0,0.8,0,0.636364,0.871795,0.333333,1,1,0.777778,0.8,0.636364,1,0.8,0.818182,0,1,0.55,1] precision 0.73293 [0,1,0,0.4,0,0.625,0.829268,0.666667,0,0,0.75,0.666667,0.777778,0.833333,0.8,0.833333,0.5,1,0.818182,1] precision 0.804986 [0,0.875,0.5,0.8,0,0.818182,0.914286,0.5,1,1,0.692308,1,0.818182,0.75,0.727273,0.909091,1,1,0.625,1] precision 0.82094 [0,1,1,0.5,0,0.809524,0.85,0.5,1,1,0.888889,0.666667,0.833333,0.857143,1,0.888889,0.5,1,0.615385,1] precision 0.791186 [0,1,1,0.666667,0,0.75,0.942857,0.5,0.5,1,0.533333,0.8,0.625,0.857143,0.888889,1,0,1,0.7,1] precision 0.767918 [0,1,1,1,0,0.619048,0.871795,0,0,1,1,1,0.478261,0.857143,1,0.9,1,1,0.5,1] precision 0.79131 [0,1,0.666667,0.8,0,0.607143,0.809524,1,1,0,0.538462,0.75,0.727273,1,0.777778,1,0,1,0.875,1] precision 0.85305 [0,1,1,1,0,0.791667,0.894737,0.5,1,1,0.75,1,0.857143,0.75,0.818182,0.9,0,1,0.818182,1] precision 0.729209 [0,1,0.5,1,0,0.571429,0.829268,0,0,0,0.714286,0.5,0.615385,0.75,0.8,1,1,1,0.8,1] precision 0.784499 [0.5,1,0.333333,1,0,0.652174,0.809524,1,0,1,0.833333,1,0.6,0.666667,0.9,1,0,1,0.769231,1] precision 0.75314 [1,1,0.333333,1,0,0.62963,0.894737,0,0,0,0.727273,1,0.647059,0.857143,0.818182,1,1,1,0.545455,1] precision 0.739397 [1,1,0,1,0,0.684211,0.916667,0,0,1,0.6,0.666667,0.6875,0.75,0.666667,0.909091,0,1,0.55,1] precision 0.723374 [0,1,0,0.5,0,0.571429,0.871795,0.333333,0,1,0.555556,1,0.615385,0.833333,0.7,0.818182,0,1,1,0.666667] precision 0.783661 [0,1,1,0.6,0,0.607143,0.809524,0.666667,0.5,1,0.666667,1,0.9,0.857143,0.875,1,0,1,0.615385,1] precision 0.740256 [0,1,0.333333,0.625,0,0.592593,0.871795,0,0,1,0.538462,1,0.9,1,0.777778,1,0,1,0.545455,1] precision 0.789045 [0,0.875,0,1,0,0.68,0.891892,0.5,1,1,0.777778,1,0.647059,0.833333,0.875,0.833333,0,1,0.833333,1] precision 0.747299 [0,0.875,0,1,0,0.708333,0.85,0.75,0,0,0.875,0.666667,0.625,0.857143,0.714286,0.75,1,1,0.625,1] precision 0.768802 [0,1,0,0.75,0,0.653846,0.871795,0.5,1,1,0.545455,1,0.666667,1,0.8,1,1,1,0.636364,1] precision 0.78787 [0,1,0.5,0.75,0,0.666667,0.871795,0.5,0,0,0.666667,1,0.764706,1,0.8,0.9,1,1,0.8,1] precision 0.76557 [0,1,1,0.666667,0,0.714286,0.853659,0.5,1,0,0.75,1,0.75,0.625,0.615385,0.909091,0,1,0.7,1] precision 0.735145 [0,0.875,0.666667,0.5,0,0.68,0.871795,0.333333,1,1,0.7,0.75,0.466667,1,0.583333,1,0.5,1,0.769231,1] precision 0.756425 [0,0.888889,0,1,0,0.681818,0.775,1,1,0,0.6,1,0.8125,1,0.833333,0.769231,0,1,0.666667,1] precision 0.755081 [0,1,1,1,0,0.789474,0.723404,0.5,0,0,0.636364,0.8,0.75,0.777778,0.666667,1,0,1,0.714286,1] precision 0.694599 [0,0.888889,0,1,0,0.652174,0.829268,0,0,0,0.666667,0.8,0.75,0.714286,0.666667,0.833333,0,1,0.545455,1] precision 0.709424 [0,1,0.5,0.5,0,0.625,0.825,0.333333,0,0,0.636364,1,0.714286,0.666667,0.8,0.875,0.333333,1,0.6,1] precision 0.792731 [0,0.875,1,0.833333,0,0.708333,0.894737,0.75,1,0,0.538462,1,0.818182,0.857143,0.75,0.909091,1,1,0.642857,1] precision 0.729801 [0,1,0.5,1,0,0.666667,0.755556,0,0,1,0.555556,1,0.888889,1,0.666667,0.9,0,1,0.529412,1] precision 0.781953 [0.5,1,1,0.6,0,0.73913,0.829268,0.333333,0,1,0.5,1,0.818182,0.714286,0.818182,0.9,0,1,0.833333,1] precision 0.765877 [0,1,1,0.75,0,0.653846,0.891892,0.666667,1,1,0.583333,1,0.533333,0.625,0.888889,1,0,1,0.642857,1] precision 0.771145 [0,1,0,0.5,0,0.73913,0.829268,1,0,1,0.727273,1,0.705882,0.857143,0.875,0.909091,1,1,0.666667,1] precision 0.665306 [0,1,0.333333,0.75,0,0.586207,0.804878,0,0.5,0,0.636364,0.666667,0.6,0.571429,0.875,0.75,0.5,1,0.5,1] precision 0.774154 [0,1,0,1,0,0.714286,0.871795,0.5,0.5,0,0.7,1,0.647059,1,0.727273,1,1,1,0.642857,1] precision 0.748299 [0,1,0.333333,0.833333,0,0.708333,0.804878,0,0.5,0,0.857143,1,0.6,0.666667,1,1,0,1,0.727273,1] precision 0.784408 [0,1,1,1,0,0.68,0.785714,1,1,0,0.7,1,0.9,0.833333,0.5,1,0,1,0.6,1] precision 0.814023 [0,1,1,0.666667,0,0.72,0.918919,0.4,0,1,0.8,0.666667,0.857143,0.777778,1,0.818182,1,1,0.666667,1] precision 0.771546 [0,1,0,0.714286,0,0.64,0.829268,1,0,1,0.818182,0.666667,0.733333,0.857143,0.75,1,0,1,0.833333,1] precision 0.730638 [0,1,0.5,0.4,0,0.708333,0.809524,0,0.666667,0,0.545455,1,0.833333,0.857143,0.727273,1,0,1,0.769231,1] precision 0.754989 [0,1,1,1,0,0.619048,0.829268,1,0,0,0.857143,0.75,0.611111,0.666667,0.5,1,1,1,0.615385,1] precision 0.723965 [0,1,0,0.75,0,0.566667,0.914286,0.4,0,1,0.714286,0.75,0.75,1,0.5,1,1,1,0.545455,0.5] precision 0.78549 [0,1,1,0.666667,0,0.633333,0.891892,0.75,0.5,1,0.545455,1,0.714286,0.857143,0.857143,1,0,1,0.818182,0.666667] precision 0.77183 [0,0.888889,0.5,0.5,0,0.575758,0.897436,1,1,0,1,0.75,0.692308,0.857143,0.625,1,0,1,0.7,1] precision 0.747804 [0,1,0.5,1,0,0.730769,0.891892,0.5,0,0,0.538462,1,0.545455,0.875,0.75,1,1,1,0.5,1] precision 0.683864 [0,0.875,0,1,0,0.666667,0.829268,0,1,1,0.6,0.5,0.6,0.857143,0.666667,0.8,0,1,0.466667,1] precision 0.768875 [0,1,0.333333,0.75,0,0.833333,0.825,0.5,0.5,0,1,1,0.647059,0.666667,0.8,1,0,1,0.611111,1] precision 0.767411 [0,1,1,1,0,0.782609,0.809524,0,0.5,1,0.666667,1,0.75,0.545455,0.7,1,0,1,0.727273,1] precision 0.77637 [0,1,1,1,0,0.666667,0.825,1,1,0,0.727273,1,0.619048,0.666667,0.7,0.888889,1,1,0.777778,0.75] precision 0.715454 [0,0.875,0,0.5,0,0.6,0.846154,0.666667,1,0,0.7,0.75,0.833333,0.625,0.888889,1,0,1,0.5,1] precision 0.676609 [0,1,1,0.25,0,0.625,0.891892,0,0.333333,1,0.272727,1,0.466667,0.857143,0.7,0.9,0,1,0.588235,1] precision 0.762274 [0,0.875,1,0.8,0,0.708333,0.918919,0,0.666667,0,0.636364,0.5,0.769231,1,0.875,0.769231,1,1,0.6,1] precision 0.731798 [0,0.875,0.5,1,0,0.727273,0.790698,0.5,0,1,0.615385,0.5,0.714286,1,0.625,0.9,0,1,0.6,1] precision 0.759928 [0,0.875,0,0.666667,0,0.68,0.837838,0.6,1,1,0.7,1,0.625,1,0.769231,0.9,1,1,0.75,0.666667] precision 0.804147 [0,1,0.5,1,0,0.772727,0.916667,0.666667,1,0,0.777778,0.5,0.75,0.5,0.666667,0.818182,1,1,0.909091,1] precision 0.77859 [0,1,1,0.5,0,0.607143,0.871795,0.333333,0,1,0.875,1,0.7,1,0.888889,1,0,1,0.666667,1] precision 0.76459 [0,1,1,1,0,0.652174,0.804878,1,0.5,1,0.636364,1,0.5,0.875,0.888889,0.8,1,1,0.666667,1] precision 0.698088 [0,1,0,0.333333,0,0.56,0.767442,0.5,0,0,0.625,0.75,0.619048,0.75,1,0.888889,0,1,0.833333,1] precision 0.750785 [0,1,0.5,1,0,0.551724,0.875,0.333333,0,0,0.571429,0.666667,0.846154,1,0.875,1,0,1,0.625,1] precision 0.694822 [0,1,0.333333,0,0,0.62069,0.829268,0,1,0,0.583333,1,0.583333,1,0.9,0.9,0.5,1,0.666667,1] precision 0.735115 [1,1,1,0.75,0,0.607143,0.894737,0,1,0,0.545455,0.8,0.571429,1,0.875,0.888889,0.5,1,0.636364,0.5] precision 0.77109 [0,0.888889,0,1,0,0.772727,0.914286,0.666667,1,0,0.727273,0.666667,0.666667,0.75,0.666667,1,0,1,0.705882,1] precision 0.731131 [0,1,0,0.75,0,0.695652,0.85,1,1,0,0.5,1,0.666667,0.857143,0.6,0.909091,0,1,0.578947,1] precision 0.815666 [0,1,1,1,0,0.592593,0.894737,0.5,1,1,0.8,1,0.705882,1,1,0.909091,0,1,0.636364,1] precision 0.798801 [0,1,1,0.5,0,0.666667,0.853659,1,0,1,0.777778,1,0.647059,1,0.583333,1,1,1,0.909091,1] precision 0.780824 [0,1,0.666667,1,0,0.714286,0.846154,1,0,1,0.571429,1,0.5,0.625,1,1,1,1,0.75,0.8] predictive_accuracy 0.782051 predictive_accuracy 0.762821 predictive_accuracy 0.782051 predictive_accuracy 0.801282 predictive_accuracy 0.75641 predictive_accuracy 0.826923 predictive_accuracy 0.814103 predictive_accuracy 0.775641 predictive_accuracy 0.820513 predictive_accuracy 0.794872 predictive_accuracy 0.788462 predictive_accuracy 0.807692 predictive_accuracy 0.769231 predictive_accuracy 0.782051 predictive_accuracy 0.782051 predictive_accuracy 0.769231 predictive_accuracy 0.801282 predictive_accuracy 0.801282 predictive_accuracy 0.75641 predictive_accuracy 0.769231 predictive_accuracy 0.788462 predictive_accuracy 0.737179 predictive_accuracy 0.794872 predictive_accuracy 0.762821 predictive_accuracy 0.788462 predictive_accuracy 0.730769 predictive_accuracy 0.74359 predictive_accuracy 0.782051 predictive_accuracy 0.75641 predictive_accuracy 0.769231 predictive_accuracy 0.762821 predictive_accuracy 0.833333 predictive_accuracy 0.762821 predictive_accuracy 0.788462 predictive_accuracy 0.775641 predictive_accuracy 0.782051 predictive_accuracy 0.775641 predictive_accuracy 0.75641 predictive_accuracy 0.762821 predictive_accuracy 0.814103 predictive_accuracy 0.820513 predictive_accuracy 0.801282 predictive_accuracy 0.762821 predictive_accuracy 0.775641 predictive_accuracy 0.858974 predictive_accuracy 0.75641 predictive_accuracy 0.769231 predictive_accuracy 0.788462 predictive_accuracy 0.75 predictive_accuracy 0.737179 predictive_accuracy 0.775641 predictive_accuracy 0.762821 predictive_accuracy 0.801282 predictive_accuracy 0.775641 predictive_accuracy 0.788462 predictive_accuracy 0.814103 predictive_accuracy 0.788462 predictive_accuracy 0.75 predictive_accuracy 0.782051 predictive_accuracy 0.75641 predictive_accuracy 0.74359 predictive_accuracy 0.730769 predictive_accuracy 0.801282 predictive_accuracy 0.74359 predictive_accuracy 0.775641 predictive_accuracy 0.769231 predictive_accuracy 0.801282 predictive_accuracy 0.705128 predictive_accuracy 0.794872 predictive_accuracy 0.788462 predictive_accuracy 0.769231 predictive_accuracy 0.814103 predictive_accuracy 0.794872 predictive_accuracy 0.769231 predictive_accuracy 0.75 predictive_accuracy 0.730769 predictive_accuracy 0.775641 predictive_accuracy 0.769231 predictive_accuracy 0.769231 predictive_accuracy 0.724359 predictive_accuracy 0.775641 predictive_accuracy 0.775641 predictive_accuracy 0.769231 predictive_accuracy 0.75 predictive_accuracy 0.705128 predictive_accuracy 0.782051 predictive_accuracy 0.75 predictive_accuracy 0.775641 predictive_accuracy 0.801282 predictive_accuracy 0.794872 predictive_accuracy 0.75 predictive_accuracy 0.737179 predictive_accuracy 0.762821 predictive_accuracy 0.75641 predictive_accuracy 0.75 predictive_accuracy 0.794872 predictive_accuracy 0.762821 predictive_accuracy 0.814103 predictive_accuracy 0.807692 predictive_accuracy 0.769231 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 recall 0.782051 [0,1,0.25,0.8,0,0.75,1,0.4,0,0,0.7,0.75,0.5625,0.857143,0.888889,0.9,1,1,0.692308,1] recall 0.762821 [0,1,0,0.2,0,0.947368,1,0.25,1,0,0.777778,0.75,0.6875,0.666667,0.7,0.9,0,1,0.538462,0.5] recall 0.782051 [0,1,0.25,0.2,0,0.947368,1,0.2,0.5,1,0.777778,0.75,0.5,0.857143,1,1,0,1,0.538462,1] recall 0.801282 [0,1,0.25,0.8,0,0.95,1,0.75,0,0,0.888889,0.5,0.470588,0.833333,0.9,1,1,1,0.538462,1] recall 0.75641 [0,1,0.666667,0.2,0,0.842105,0.970588,0.2,1,1,0.7,1,0.588235,1,0.666667,1,1,1,0.307692,1] recall 0.826923 [0.5,1,0.333333,0.6,0,0.95,1,0.2,0,0,0.888889,1,0.5625,0.857143,0.777778,1,0,1,0.769231,1] recall 0.814103 [0,1,0.5,0.6,0,0.8,0.970588,0,1,1,0.777778,0.75,0.625,1,1,1,0,1,0.692308,1] recall 0.775641 [0.5,1,0,0.4,0,0.85,1,0,1,0,0.666667,0.75,0.470588,1,0.777778,1,0,1,0.692308,1] recall 0.820513 [0,1,0.666667,0.6,0,1,1,0,0.5,1,0.9,0.75,0.647059,0.714286,0.666667,1,1,1,0.538462,1] recall 0.794872 [0,1,0.333333,0.5,0,0.842105,1,0.5,0,0,0.777778,0.5,0.529412,1,1,1,0.5,1,0.615385,1] recall 0.788462 [0,1,0.25,0.4,0,1,1,0.25,0.5,1,0.666667,0.75,0.4375,0.857143,1,1,0,1,0.538462,0.75] recall 0.807692 [0,1,0.333333,0.4,0,0.95,1,0.25,0,0,0.9,0.75,0.647059,0.666667,0.777778,1,1,1,0.692308,1] recall 0.769231 [0,1,0,0.2,0,0.789474,0.970588,0.25,0.5,1,1,1,0.470588,0.833333,0.888889,1,0,1,0.538462,0.75] recall 0.782051 [0,1,0.333333,0.4,0,0.9,0.971429,0.25,1,1,0.888889,0.75,0.588235,0.714286,0.666667,0.9,0,1,0.615385,1] recall 0.782051 [0,1,0.333333,0.4,0,0.85,0.970588,0.2,0.5,0,0.444444,0.75,0.705882,1,0.888889,0.9,1,1,0.692308,1] recall 0.769231 [0,1,0.333333,0.6,0,0.8,1,0,0.5,0,0.333333,0.5,0.588235,1,1,1,0,1,0.769231,0.75] recall 0.801282 [0,1,0,0.8,0,0.8,0.970588,0.4,0,1,0.444444,0.75,0.6875,1,0.888889,0.9,1,1,0.846154,1] recall 0.801282 [0,1,0.666667,0.4,0,0.95,1,0,0,1,0.777778,1,0.411765,1,1,0.9,0,1,0.692308,0.75] recall 0.75641 [0,1,0.25,0,0,0.75,1,0,0.5,1,1,0.75,0.470588,0.833333,1,0.9,0,1,0.692308,0.666667] recall 0.769231 [0,1,0,0.5,0,0.95,1,0.75,0,0,0.888889,0.5,0.529412,0.833333,0.444444,1,0,1,0.846154,0.333333] recall 0.788462 [0,1,0,0.6,0,0.9,0.970588,0.25,0,0.5,0.888889,0.75,0.411765,1,0.666667,0.9,1,1,0.846154,1] recall 0.737179 [1,1,0.25,0.6,0,0.65,0.970588,0,0.5,1,0.666667,0.5,0.352941,1,0.888889,1,0,1,0.769231,0.75] recall 0.794872 [0,0.875,0.666667,0.6,0,0.9,1,0,0,0,0.888889,0.75,0.588235,0.833333,0.777778,1,1,1,0.692308,0.5] recall 0.762821 [0,1,0,0.6,0,0.7,0.970588,0,0,0,0.888889,1,0.588235,1,0.666667,1,1,1,0.538462,1] recall 0.788462 [0,1,0.666667,0.2,0,0.85,1,0.8,0.5,1,0.777778,0.5,0.588235,0.857143,0.555556,1,1,1,0.615385,1] recall 0.730769 [0,1,0.75,0.166667,0,0.55,1,0.5,0,0,0.888889,0.75,0.411765,0.571429,1,0.888889,0,1,0.769231,1] recall 0.74359 [0,1,0.333333,0.4,0,0.842105,1,0.2,0.5,1,0.777778,0.5,0.352941,1,0.666667,0.777778,0,1,0.769231,0.75] recall 0.782051 [0,1,0.666667,0.5,0,0.85,1,0,0,1,0.777778,0.75,0.588235,0.857143,0.888889,0.9,0,1,0.692308,0.333333] recall 0.75641 [0,1,0,0.6,0,0.8,1,0,0,1,0.666667,0.5,0.647059,0.666667,0.888889,1,0,1,0.615385,1] recall 0.769231 [0,1,0.75,0.4,0,0.85,1,0.25,0.5,1,0.888889,0.5,0.529412,0.833333,0.666667,0.9,0.5,1,0.538462,1] recall 0.762821 [0,1,0.333333,0.5,0,0.9,0.941176,0,0,0,0.777778,0.75,0.470588,1,0.8,1,0,1,0.692308,1] recall 0.833333 [0,1,0.5,0.5,0,0.8,1,0.25,0.5,1,0.777778,0.75,0.823529,1,0.888889,0.888889,1,1,0.769231,1] recall 0.762821 [0,0.875,0.333333,0,0,0.85,1,0,0.5,1,0.666667,0.5,0.647059,1,1,0.8,0.5,0.75,0.692308,0.75] recall 0.788462 [0,1,0.333333,0.4,0,0.75,0.970588,0.25,0.5,1,0.666667,0.5,0.588235,1,0.777778,1,1,1,0.769231,1] recall 0.775641 [0,1,0,0.8,0,0.9,1,0.5,0,0,0.777778,0.25,0.529412,1,0.7,1,0,1,0.692308,0.666667] recall 0.782051 [0,1,0,0.333333,0,0.894737,0.971429,0.25,0,1,0.777778,0.75,0.588235,1,0.888889,1,1,1,0.615385,1] recall 0.775641 [0,1,0.666667,0.2,0,0.842105,0.941176,0.2,0.5,0,0.777778,0.75,0.588235,0.857143,0.777778,1,1,1,0.769231,0.75] recall 0.75641 [0,0.857143,0,0.666667,0,0.7,1,0.2,0.5,1,0.777778,1,0.411765,1,0.888889,1,0,1,0.846154,0.333333] recall 0.762821 [0,1,0,0.4,0,1,1,0.4,0,0,0.666667,0.5,0.411765,0.833333,0.888889,1,1,1,0.692308,0.666667] recall 0.814103 [0,0.875,0.25,0.8,0,0.9,0.941176,0.25,0.5,1,1,0.75,0.529412,1,0.8,1,1,1,0.769231,1] recall 0.820513 [0,1,1,0.5,0,0.85,1,0.5,0.5,1,0.888889,1,0.588235,1,0.777778,0.888889,0.5,1,0.615385,0.75] recall 0.801282 [0,1,0.5,0.333333,0,0.9,0.970588,0.4,0.5,1,0.888889,1,0.588235,1,0.888889,1,0,1,0.538462,1] recall 0.762821 [0,1,0.333333,0.666667,0,0.65,1,0,0,1,0.666667,0.5,0.647059,1,0.888889,0.9,0.5,1,0.692308,0.75] recall 0.775641 [0,0.875,0.666667,0.666667,0,0.894737,1,0.25,0.5,0,0.777778,0.75,0.470588,0.857143,0.777778,0.9,0,1,0.538462,1] recall 0.858974 [0,1,0.25,0.666667,0,0.95,1,0.25,0.5,1,1,1,0.705882,1,1,0.9,0,1,0.692308,1] recall 0.75641 [0,1,0.25,0.333333,0,0.842105,1,0,0,0,1,0.25,0.470588,1,0.888889,1,0.5,1,0.615385,1] recall 0.769231 [0.5,1,0.333333,0.4,0,0.789474,1,0.2,0,1,0.555556,0.5,0.529412,0.857143,1,0.888889,0,1,0.769231,1] recall 0.788462 [0.5,1,0.25,0.666667,0,0.85,1,0,0,0,0.888889,0.5,0.647059,1,1,1,1,1,0.461538,1] recall 0.75 [0.5,1,0,0.4,0,0.65,0.970588,0,0,0.5,0.666667,0.5,0.647059,1,0.888889,1,0,1,0.846154,0.5] recall 0.737179 [0,1,0,0.4,0,0.8,1,0.25,0,0.5,0.555556,1,0.470588,0.833333,0.777778,0.9,0,1,0.692308,0.666667] recall 0.775641 [0,0.875,0.333333,0.5,0,0.85,1,0.5,0.5,1,0.666667,0.5,0.529412,1,0.777778,1,0,1,0.615385,1] recall 0.762821 [0,1,0.333333,0.833333,0,0.8,1,0,0,1,0.777778,1,0.529412,0.857143,0.777778,1,0,1,0.461538,1] recall 0.801282 [0,1,0,0.333333,0,0.85,0.970588,1,0.5,1,0.777778,0.5,0.647059,0.833333,0.777778,1,0,1,0.769231,1] recall 0.775641 [0,1,0,0.333333,0,0.894737,1,0.75,0,0,0.7,0.5,0.588235,0.857143,0.555556,0.9,1,1,0.769231,1] recall 0.788462 [0,1,0,0.5,0,0.85,1,0.25,0.5,1,0.666667,0.75,0.705882,1,0.888889,0.8,1,1,0.538462,1] recall 0.814103 [0,1,0.333333,0.5,0,0.842105,1,0.25,0,0,0.666667,0.75,0.764706,0.833333,0.888889,0.9,0.5,1,0.923077,1] recall 0.788462 [0,1,0.666667,0.666667,0,0.789474,1,0.25,0.5,0,0.666667,0.75,0.705882,0.833333,0.888889,1,0,1,0.538462,1] recall 0.75 [0,1,0.5,0.166667,0,0.85,1,0.2,0.5,1,0.777778,0.75,0.411765,0.833333,0.777778,0.888889,1,1,0.769231,0.333333] recall 0.782051 [0,1,0,0.4,0,0.75,0.911765,0.25,1,0,0.666667,0.75,0.764706,0.833333,1,1,0,1,0.769231,1] recall 0.75641 [0,0.875,0.333333,0.4,0,0.75,1,0.25,0,0,0.777778,1,0.352941,1,0.888889,1,0,1,0.769231,0.666667] recall 0.74359 [0,1,0,0.333333,0,0.789474,1,0,0,0,0.888889,1,0.529412,0.833333,0.888889,1,0,1,0.461538,1] recall 0.730769 [0,0.857143,0.333333,0.5,0,0.75,0.970588,0.2,0,0,0.777778,1,0.588235,0.857143,0.888889,0.7,0.5,1,0.461538,1] recall 0.801282 [0,1,0.333333,0.833333,0,0.85,1,0.75,1,0,0.777778,0.5,0.529412,0.857143,0.666667,1,1,1,0.692308,1] recall 0.74359 [0,0.857143,0.333333,0.666667,0,0.842105,1,0,0,1,0.555556,1,0.470588,0.833333,0.888889,0.9,0,0.75,0.692308,0.75] recall 0.775641 [0.5,0.875,0.333333,0.5,0,0.85,1,0.25,0,0.5,0.555556,0.75,0.5625,0.833333,1,0.9,0,1,0.769231,0.75] recall 0.769231 [0,1,0.333333,0.6,0,0.894737,0.970588,0.5,0.5,1,0.777778,0.5,0.470588,0.833333,0.8,0.8,0,1,0.692308,1] recall 0.801282 [0,1,0,0.166667,0,0.85,1,0.5,0,1,0.888889,1,0.705882,1,0.777778,1,0.5,1,0.615385,1] recall 0.705128 [0,1,0.333333,0.6,0,0.894737,0.970588,0,0.5,0,0.7,0.5,0.529412,0.666667,0.777778,0.9,0.5,1,0.153846,1] recall 0.794872 [0,1,0,0.666667,0,0.789474,1,0.25,0.5,0,0.777778,1,0.6875,0.857143,0.888889,0.888889,0.5,1,0.692308,1] recall 0.788462 [0,1,0.333333,1,0,0.85,0.970588,0,0.5,0,0.666667,0.75,0.705882,0.571429,1,1,0,1,0.615385,1] recall 0.769231 [0,1,0.333333,0.2,0,0.894737,0.970588,0.6,0.5,0,0.777778,0.75,0.529412,0.714286,0.777778,1,0,1,0.692308,1] recall 0.814103 [0,1,1,0.8,0,0.947368,1,0.4,0,1,0.888889,0.5,0.352941,1,0.777778,0.9,0.5,1,0.769231,1] recall 0.794872 [0,1,0,0.833333,0,0.8,1,0.2,0,1,1,0.5,0.647059,0.857143,0.666667,1,0,1,0.769231,1] recall 0.769231 [0,1,0.666667,0.333333,0,0.894737,1,0,1,0,0.666667,0.5,0.588235,1,0.888889,0.777778,0,1,0.769231,1] recall 0.75 [0,1,0.333333,0.333333,0,0.684211,0.971429,0.75,0,0,0.666667,0.75,0.6875,0.666667,0.777778,0.9,0.5,1,0.615385,1] recall 0.730769 [0,1,0,0.6,0,0.85,0.941176,0.4,0,1,0.555556,0.75,0.529412,0.833333,1,0.9,1,1,0.461538,0.25] recall 0.775641 [0,0.857143,0.333333,0.333333,0,0.95,0.970588,0.75,0.5,1,0.666667,0.5,0.588235,1,0.666667,1,0,1,0.692308,0.666667] recall 0.769231 [0,1,0.333333,0.6,0,1,1,0.5,0.5,0,0.333333,0.75,0.5625,1,0.555556,1,0,1,0.538462,1] recall 0.769231 [0,1,0.333333,0.333333,0,1,0.970588,0.5,0,0,0.777778,0.75,0.375,1,1,0.888889,0.5,1,0.538462,1] recall 0.724359 [0,1,0,0.4,0,0.631579,0.971429,0,0.5,1,0.666667,0.5,0.705882,0.857143,0.888889,0.888889,0,1,0.538462,0.75] recall 0.775641 [0,0.857143,0.666667,0.6,0,0.789474,0.970588,0.2,0.5,0,0.555556,0.5,0.647059,0.857143,0.888889,1,0,1,0.846154,1] recall 0.775641 [0,1,0.333333,0.4,0,0.947368,1,0,0.5,1,0.888889,0.75,0.529412,0.857143,0.777778,1,0,1,0.615385,0.333333] recall 0.769231 [0,0.875,0.25,0.4,0,0.947368,0.970588,0.2,0.5,0,0.888889,0.75,0.764706,0.571429,0.777778,0.888889,1,1,0.538462,1] recall 0.75 [0,1,0,0.2,0,0.9,0.970588,0.8,0.5,0,0.777778,0.75,0.625,0.833333,0.888889,0.888889,0,1,0.538462,0.333333] recall 0.705128 [0,1,0.333333,0.2,0,0.789474,0.970588,0,0.5,1,0.333333,0.5,0.411765,0.857143,0.777778,1,0,1,0.769231,0.75] recall 0.782051 [0,0.875,0.333333,0.8,0,0.85,1,0,1,0,0.777778,0.5,0.588235,0.833333,0.777778,1,1,1,0.692308,0.75] recall 0.75 [0,1,0.333333,0.5,0,0.8,1,0.25,0,0.5,0.888889,0.5,0.588235,0.666667,0.555556,0.9,0,1,0.692308,1] recall 0.775641 [0,0.875,0,0.4,0,0.894737,0.911765,0.75,0.5,1,0.777778,0.75,0.625,0.714286,1,0.9,0.5,1,0.692308,0.5] recall 0.801282 [0,1,0.333333,0.5,0,0.894737,0.970588,0.5,0.5,0,0.777778,0.5,0.529412,0.857143,0.888889,1,1,1,0.769231,1] recall 0.794872 [0,1,0.666667,0.333333,0,0.894737,1,0.4,0,1,0.7,0.75,0.4375,1,0.888889,1,0,1,0.769231,1] recall 0.75 [0,0.857143,0.25,0.4,0,0.789474,0.970588,0.2,1,1,0.777778,0.75,0.529412,1,0.888889,0.8,1,1,0.615385,0.666667] recall 0.737179 [0,1,0,0.2,0,0.736842,0.970588,0.25,0,0,0.555556,0.75,0.8125,0.857143,0.777778,0.8,0,1,0.769231,0.5] recall 0.762821 [0,1,0.25,0.2,0,0.842105,1,0.2,0,0,0.888889,0.5,0.6875,0.714286,0.777778,1,0,0.666667,0.769231,1] recall 0.75641 [0,1,0.25,0,0,0.9,1,0,0.5,0,0.777778,1,0.4375,0.833333,1,1,0.5,1,0.615385,1] recall 0.75 [0.5,1,0.333333,0.6,0,0.894737,1,0,1,0,0.666667,1,0.470588,1,0.777778,0.888889,0.5,1,0.538462,0.25] recall 0.794872 [0,1,0,0.4,0,0.85,0.941176,0.4,1,0,0.888889,1,0.625,0.857143,0.666667,1,0,1,0.923077,0.75] recall 0.762821 [0,1,0,0.6,0,0.8,1,0.25,1,0,0.4,1,0.470588,1,0.666667,1,0,1,0.846154,1] recall 0.814103 [0,1,0.333333,0.8,0,0.842105,1,0.25,1,1,0.888889,0.75,0.705882,0.857143,0.888889,1,0,1,0.538462,0.5] recall 0.807692 [0,1,0.666667,0.333333,0,0.842105,1,0.25,0,1,0.777778,1,0.647059,0.714286,0.777778,1,1,1,0.769231,1] recall 0.769231 [0,1,0.666667,0.666667,0,0.789474,0.970588,0.2,0,1,0.444444,1,0.5625,0.714286,0.888889,0.9,1,1,0.692308,1] relative_absolute_error 0.266594 relative_absolute_error 0.291062 relative_absolute_error 0.287513 relative_absolute_error 0.258473 relative_absolute_error 0.318239 relative_absolute_error 0.265593 relative_absolute_error 0.270734 relative_absolute_error 0.280853 relative_absolute_error 0.268261 relative_absolute_error 0.255247 relative_absolute_error 0.245833 relative_absolute_error 0.254414 relative_absolute_error 0.309054 relative_absolute_error 0.327219 relative_absolute_error 0.310518 relative_absolute_error 0.301082 relative_absolute_error 0.260238 relative_absolute_error 0.254762 relative_absolute_error 0.318213 relative_absolute_error 0.288082 relative_absolute_error 0.263693 relative_absolute_error 0.311188 relative_absolute_error 0.260125 relative_absolute_error 0.28837 relative_absolute_error 0.258096 relative_absolute_error 0.317009 relative_absolute_error 0.340947 relative_absolute_error 0.266769 relative_absolute_error 0.323984 relative_absolute_error 0.30017 relative_absolute_error 0.298152 relative_absolute_error 0.221091 relative_absolute_error 0.294798 relative_absolute_error 0.261904 relative_absolute_error 0.26346 relative_absolute_error 0.28697 relative_absolute_error 0.298667 relative_absolute_error 0.292642 relative_absolute_error 0.314535 relative_absolute_error 0.266929 relative_absolute_error 0.231494 relative_absolute_error 0.273458 relative_absolute_error 0.304881 relative_absolute_error 0.299171 relative_absolute_error 0.227868 relative_absolute_error 0.306425 relative_absolute_error 0.298286 relative_absolute_error 0.272883 relative_absolute_error 0.302795 relative_absolute_error 0.312331 relative_absolute_error 0.292968 relative_absolute_error 0.294857 relative_absolute_error 0.265706 relative_absolute_error 0.265742 relative_absolute_error 0.25834 relative_absolute_error 0.263531 relative_absolute_error 0.265065 relative_absolute_error 0.306028 relative_absolute_error 0.272863 relative_absolute_error 0.302482 relative_absolute_error 0.327543 relative_absolute_error 0.354946 relative_absolute_error 0.248265 relative_absolute_error 0.327988 relative_absolute_error 0.29755 relative_absolute_error 0.277105 relative_absolute_error 0.263902 relative_absolute_error 0.353095 relative_absolute_error 0.274496 relative_absolute_error 0.283938 relative_absolute_error 0.308719 relative_absolute_error 0.243886 relative_absolute_error 0.272904 relative_absolute_error 0.303271 relative_absolute_error 0.315403 relative_absolute_error 0.327493 relative_absolute_error 0.28666 relative_absolute_error 0.294208 relative_absolute_error 0.304541 relative_absolute_error 0.328447 relative_absolute_error 0.275069 relative_absolute_error 0.298694 relative_absolute_error 0.289716 relative_absolute_error 0.302311 relative_absolute_error 0.348186 relative_absolute_error 0.305683 relative_absolute_error 0.296915 relative_absolute_error 0.288533 relative_absolute_error 0.265384 relative_absolute_error 0.266529 relative_absolute_error 0.297751 relative_absolute_error 0.317256 relative_absolute_error 0.295904 relative_absolute_error 0.303196 relative_absolute_error 0.296528 relative_absolute_error 0.284768 relative_absolute_error 0.310257 relative_absolute_error 0.25512 relative_absolute_error 0.241397 relative_absolute_error 0.282454 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.211835 root_mean_prior_squared_error 0.212094 root_mean_prior_squared_error 0.211863 root_mean_prior_squared_error 0.212074 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211932 root_mean_prior_squared_error 0.211873 root_mean_prior_squared_error 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