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
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area_under_roc_curve
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kb_relative_information_score
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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
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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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
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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
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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
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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
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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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
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precision
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precision
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precision
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precision
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precision
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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
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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
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precision
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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
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precision
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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
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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
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precision
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precision
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precision
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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
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precision
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precision
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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
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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
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precision
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precision
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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
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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
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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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
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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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
0.211798
root_mean_prior_squared_error
0.212038
root_mean_prior_squared_error
0.21169
root_mean_prior_squared_error
0.211915
root_mean_prior_squared_error
0.212004
root_mean_prior_squared_error
0.211587
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.21191
root_mean_prior_squared_error
0.211977
root_mean_prior_squared_error
0.211855
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.211927
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211911
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211837
root_mean_prior_squared_error
0.211874
root_mean_prior_squared_error
0.211925
root_mean_prior_squared_error
0.211891
root_mean_prior_squared_error
0.211992
root_mean_prior_squared_error
0.211902
root_mean_prior_squared_error
0.211852
root_mean_prior_squared_error
0.211829
root_mean_prior_squared_error
0.211815
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.21185
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.211926
root_mean_prior_squared_error
0.211923
root_mean_prior_squared_error
0.211988
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212113
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.2119
root_mean_prior_squared_error
0.211909
root_mean_prior_squared_error
0.211941
root_mean_prior_squared_error
0.211895
root_mean_prior_squared_error
0.211931
root_mean_prior_squared_error
0.211974
root_mean_prior_squared_error
0.211865
root_mean_prior_squared_error
0.212066
root_mean_prior_squared_error
0.211813
root_mean_prior_squared_error
0.211983
root_mean_prior_squared_error
0.211861
root_mean_prior_squared_error
0.211884
root_mean_prior_squared_error
0.212065
root_mean_prior_squared_error
0.21189
root_mean_prior_squared_error
0.211905
root_mean_prior_squared_error
0.212076
root_mean_prior_squared_error
0.212034
root_mean_prior_squared_error
0.212031
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.212062
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211971
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212021
root_mean_prior_squared_error
0.211955
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211893
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211952
root_mean_prior_squared_error
0.211919
root_mean_prior_squared_error
0.212283
root_mean_prior_squared_error
0.211832
root_mean_prior_squared_error
0.212085
root_mean_prior_squared_error
0.212046
root_mean_prior_squared_error
0.212109
root_mean_prior_squared_error
0.212169
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.211903
root_mean_prior_squared_error
0.211954
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212136
root_mean_prior_squared_error
0.21218
root_mean_prior_squared_error
0.21207
root_mean_prior_squared_error
0.212175
root_mean_prior_squared_error
0.211943
root_mean_prior_squared_error
0.212131
root_mean_prior_squared_error
0.212149
root_mean_prior_squared_error
0.211999
root_mean_prior_squared_error
0.21186
root_mean_prior_squared_error
0.21206
root_mean_prior_squared_error
0.211763
root_mean_prior_squared_error
0.212175
root_mean_squared_error
0.121739
root_mean_squared_error
0.133177
root_mean_squared_error
0.135176
root_mean_squared_error
0.120029
root_mean_squared_error
0.139568
root_mean_squared_error
0.1257
root_mean_squared_error
0.128485
root_mean_squared_error
0.132426
root_mean_squared_error
0.126122
root_mean_squared_error
0.120838
root_mean_squared_error
0.121357
root_mean_squared_error
0.118741
root_mean_squared_error
0.140345
root_mean_squared_error
0.138637
root_mean_squared_error
0.134494
root_mean_squared_error
0.136409
root_mean_squared_error
0.129386
root_mean_squared_error
0.12587
root_mean_squared_error
0.138238
root_mean_squared_error
0.1326
root_mean_squared_error
0.126693
root_mean_squared_error
0.138121
root_mean_squared_error
0.122494
root_mean_squared_error
0.140448
root_mean_squared_error
0.123327
root_mean_squared_error
0.140911
root_mean_squared_error
0.144198
root_mean_squared_error
0.128523
root_mean_squared_error
0.141344
root_mean_squared_error
0.139067
root_mean_squared_error
0.140784
root_mean_squared_error
0.112794
root_mean_squared_error
0.13377
root_mean_squared_error
0.125765
root_mean_squared_error
0.12944
root_mean_squared_error
0.134651
root_mean_squared_error
0.135175
root_mean_squared_error
0.134895
root_mean_squared_error
0.137098
root_mean_squared_error
0.128037
root_mean_squared_error
0.122536
root_mean_squared_error
0.129337
root_mean_squared_error
0.137123
root_mean_squared_error
0.136564
root_mean_squared_error
0.108244
root_mean_squared_error
0.138822
root_mean_squared_error
0.133798
root_mean_squared_error
0.131943
root_mean_squared_error
0.140269
root_mean_squared_error
0.141167
root_mean_squared_error
0.129355
root_mean_squared_error
0.139528
root_mean_squared_error
0.126984
root_mean_squared_error
0.128323
root_mean_squared_error
0.126974
root_mean_squared_error
0.125645
root_mean_squared_error
0.126568
root_mean_squared_error
0.137069
root_mean_squared_error
0.126551
root_mean_squared_error
0.131663
root_mean_squared_error
0.144309
root_mean_squared_error
0.14905
root_mean_squared_error
0.123781
root_mean_squared_error
0.141553
root_mean_squared_error
0.13674
root_mean_squared_error
0.132746
root_mean_squared_error
0.128164
root_mean_squared_error
0.154295
root_mean_squared_error
0.130625
root_mean_squared_error
0.133426
root_mean_squared_error
0.136274
root_mean_squared_error
0.12068
root_mean_squared_error
0.123857
root_mean_squared_error
0.138698
root_mean_squared_error
0.139085
root_mean_squared_error
0.144561
root_mean_squared_error
0.13254
root_mean_squared_error
0.133299
root_mean_squared_error
0.138093
root_mean_squared_error
0.144794
root_mean_squared_error
0.135826
root_mean_squared_error
0.136677
root_mean_squared_error
0.135167
root_mean_squared_error
0.1341
root_mean_squared_error
0.150133
root_mean_squared_error
0.136539
root_mean_squared_error
0.136855
root_mean_squared_error
0.135969
root_mean_squared_error
0.128493
root_mean_squared_error
0.128032
root_mean_squared_error
0.138441
root_mean_squared_error
0.136625
root_mean_squared_error
0.140028
root_mean_squared_error
0.136258
root_mean_squared_error
0.136583
root_mean_squared_error
0.133903
root_mean_squared_error
0.136836
root_mean_squared_error
0.124037
root_mean_squared_error
0.116263
root_mean_squared_error
0.136477
root_relative_squared_error
0.57432
root_relative_squared_error
0.628685
root_relative_squared_error
0.637339
root_relative_squared_error
0.566543
root_relative_squared_error
0.658108
root_relative_squared_error
0.592999
root_relative_squared_error
0.606253
root_relative_squared_error
0.625024
root_relative_squared_error
0.595481
root_relative_squared_error
0.569889
root_relative_squared_error
0.573278
root_relative_squared_error
0.560324
root_relative_squared_error
0.66199
root_relative_squared_error
0.655228
root_relative_squared_error
0.63467
root_relative_squared_error
0.643709
root_relative_squared_error
0.610378
root_relative_squared_error
0.594135
root_relative_squared_error
0.652456
root_relative_squared_error
0.625753
root_relative_squared_error
0.597816
root_relative_squared_error
0.651602
root_relative_squared_error
0.578068
root_relative_squared_error
0.662952
root_relative_squared_error
0.581975
root_relative_squared_error
0.664822
root_relative_squared_error
0.679935
root_relative_squared_error
0.606708
root_relative_squared_error
0.667111
root_relative_squared_error
0.65621
root_relative_squared_error
0.664418
root_relative_squared_error
0.532068
root_relative_squared_error
0.631285
root_relative_squared_error
0.593647
root_relative_squared_error
0.611058
root_relative_squared_error
0.635702
root_relative_squared_error
0.637388
root_relative_squared_error
0.636376
root_relative_squared_error
0.647009
root_relative_squared_error
0.604376
root_relative_squared_error
0.578157
root_relative_squared_error
0.610295
root_relative_squared_error
0.647044
root_relative_squared_error
0.644207
root_relative_squared_error
0.510911
root_relative_squared_error
0.654469
root_relative_squared_error
0.630896
root_relative_squared_error
0.622448
root_relative_squared_error
0.66196
root_relative_squared_error
0.666168
root_relative_squared_error
0.610336
root_relative_squared_error
0.658477
root_relative_squared_error
0.599178
root_relative_squared_error
0.605372
root_relative_squared_error
0.599319
root_relative_squared_error
0.59248
root_relative_squared_error
0.597547
root_relative_squared_error
0.646602
root_relative_squared_error
0.597329
root_relative_squared_error
0.621393
root_relative_squared_error
0.680496
root_relative_squared_error
0.703427
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