250917
2
Joaquin Vanschoren
4235
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
395
re1.wc
https://www.openml.org/data/download/52507/re1.wc.arff
-1
835877
description
https://api.openml.org/data/download/835877/weka_generated_run5291191697444422114.xml
-1
835880
model_readable
https://api.openml.org/data/download/835880/WekaModel_weka.classifiers.meta.FilteredClassifier7189011027434277545.model
-1
835879
model_serialized
https://api.openml.org/data/download/835879/WekaSerialized_weka.classifiers.meta.FilteredClassifier5071379491817964574.model
-1
835878
predictions
https://api.openml.org/data/download/835878/weka_generated_predictions5110794289916100644.arff
area_under_roc_curve
0.936419 [0.94312,0.852798,0.982285,0.984769,0.983543,0.904019,0.955973,0.967128,0.891862,0.997588,0.918599,0.895233,0.928702,0.743371,0.847457,0.867003,0.998898,0.781337,0.976862,0.926742,0.977922,0.972001,0.903899,0.835633,0.892339]
average_cost
0
f_measure
0.819379 [0.899666,0.606357,0.923241,0.940476,0.945982,0.772222,0.88899,0.861048,0.449664,0.97479,0.832685,0.853859,0.601198,0.067797,0.62963,0.513369,0.896552,0.473552,0.938907,0.751841,0.95007,0.923913,0.741365,0,0.882682]
kappa
0.804176
kb_relative_information_score
13072.480872
mean_absolute_error
0.018365
mean_prior_absolute_error
0.070994
number_of_instances
16570 [310,200,480,990,370,170,3300,200,190,870,3710,310,420,150,270,500,130,180,320,1370,1060,180,600,190,100]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.814317 [0.934028,0.593301,0.945415,0.923977,0.922879,0.731579,0.886179,0.790795,0.62037,0.95082,0.8025,0.869565,0.604819,0.093023,0.708333,0.551724,0.8125,0.43318,0.966887,0.758544,0.939982,0.904255,0.749574,0,1]
predictive_accuracy
0.827218
prior_entropy
3.812516
recall
0.827218 [0.867742,0.62,0.902083,0.957576,0.97027,0.817647,0.891818,0.945,0.352632,1,0.865229,0.83871,0.597619,0.053333,0.566667,0.48,1,0.522222,0.9125,0.745255,0.960377,0.944444,0.733333,0,0.79]
relative_absolute_error
0.258681
root_mean_prior_squared_error
0.188293
root_mean_squared_error
0.109121
root_relative_squared_error
0.579529
scimark_benchmark
1294.782628 [833.7670332881751, 1000.2361411703304, 548.6672532353103, 1063.8961096609355, 3027.3466034945545]
total_cost
0
usercpu_time_millis
14680
usercpu_time_millis_testing
450
usercpu_time_millis_training
14230
area_under_roc_curve
0.938358 [0.828704,0.995427,0.99441,0.996474,1,0.998476,0.964115,0.993902,0.493902,1,0.89912,0.537832,0.956019,0.990909,0.708841,0.988199,0.996951,0.990854,1,0.915033,1,1,1,0.905488,1]
area_under_roc_curve
0.93351 [0.964213,1,1,0.996795,1,0.5,0.961381,0.743902,1,0.996815,0.919922,0.794479,0.927329,0.928354,1,0.926708,1,0.693598,1,0.968577,0.943988,0.75,0.889062,0.632622,0.487879]
area_under_roc_curve
0.944799 [1,0.996951,1,1,0.996914,1,0.962406,1,0.993902,1,0.962812,1,0.839506,0.918182,0.414634,0.580124,1,0.378049,1,0.928806,1,1,0.991667,0.884146,1]
area_under_roc_curve
0.943536 [1,0.996951,0.987578,0.99359,1,0.733232,0.978127,0.996951,0.734756,1,0.919966,1,0.868827,0.975758,0.989775,0.963354,1,0.693598,0.992843,0.945724,1,0.746951,0.803646,0.676829,1]
area_under_roc_curve
0.946446 [1,0.996951,1,1,1,1,0.959672,0.743902,0.939024,0.996815,0.932257,0.660532,0.930435,0.993939,0.747444,0.989441,1,1,1,0.855204,1,1,0.99375,0.893293,1]
area_under_roc_curve
0.918058 [0.75,0.682927,0.991304,0.996795,1,0.99697,0.928002,1,0.739329,0.996835,0.893987,0.786299,0.967593,0.875,0.993865,0.826087,1,0.993902,1,0.912359,0.989443,1,0.806771,0.378788,1]
area_under_roc_curve
0.946035 [0.801636,0.996951,1,1,1,1,0.955457,1,0.995427,1,0.943013,0.996933,0.815586,0.518293,0.601227,0.993789,0.99697,0.384848,0.99537,0.942434,1,0.996951,0.965625,0.911585,1]
area_under_roc_curve
0.947459 [1,0.996951,1,1,0.996933,0.748476,0.939964,0.746951,0.989329,0.996835,0.920025,0.792434,0.996273,0.963415,0.93047,0.958385,1,1,1,0.936652,0.996774,1,1,0.679878,1]
area_under_roc_curve
0.931393 [0.800613,0.478659,1,1,1,0.996951,0.976646,0.996951,0.990854,1,0.920847,0.765849,0.993827,0.692073,1,0.717391,1,0.420732,1,0.904977,0.990909,1,1,0.655488,1]
area_under_roc_curve
0.957185 [0.873457,0.996951,1,1,1,1,0.93347,0.996951,0.951515,1,0.964069,1,0.992284,0.987879,1,0.982609,1,0.975758,1,0.919878,0.948387,1,0.826042,0.935976,1]
area_under_roc_curve
0.959403 [1,0.981707,1,1,1,1,0.957621,1,0.99697,1,0.928556,0.996933,0.820216,1,0.66311,0.981988,1,0.932927,1,0.979889,1,1,0.903125,0.945122,0.921212]
area_under_roc_curve
0.918527 [0.829243,0.737805,1,0.996795,0.875,1,0.93871,1,0.963636,0.993631,0.895035,0.858796,0.992547,0.47561,0.905488,0.87205,0.996951,0.699695,0.99182,0.829814,1,0.996951,0.906771,0.966463,1]
area_under_roc_curve
0.918901 [0.831288,0.996951,0.893789,1,0.996914,0.746951,0.960355,0.996951,0.49697,0.996815,0.860151,0.815951,0.859568,0.475758,0.878049,0.881988,1,1,0.993865,0.920348,0.991496,0.996951,0.908333,0.945122,0.484848]
area_under_roc_curve
0.908269 [1,0.987805,1,1,1,1,0.924015,0.75,0.47561,1,0.896815,0.819018,0.490741,0.469697,0.650307,0.982609,0.99697,0.478659,0.833333,0.942669,1,1,0.9,0.932927,1]
area_under_roc_curve
0.929117 [1,0.740854,1,0.996795,1,1,0.914787,0.996951,1,0.996835,0.872198,1,0.892547,0.978659,0.94274,0.873292,1,0.699695,1,0.930921,1,1,0.981771,0.930303,0.487879]
area_under_roc_curve
0.944294 [1,1,0.98323,0.99359,0.875,0.734756,0.973229,0.996951,0.990909,0.996815,0.940394,0.817996,0.884472,0.984848,0.649284,0.780124,1,0.984756,1,0.978383,1,1,0.884896,0.689024,1]
area_under_roc_curve
0.901406 [1,1,1,0.996795,1,0.746951,0.920141,1,0.734756,1,0.82401,0.793456,0.861883,0.442424,0.815951,0.960248,1,0.955793,0.996933,0.900704,0.90088,0.75,0.898958,0.957317,1]
area_under_roc_curve
0.909429 [1,0.381098,0.874228,1,1,0.745427,0.902028,0.996951,0.481707,1,0.900691,0.770961,0.990683,0.929878,0.98773,0.985093,1,0.993939,1,0.895425,0.996481,1,0.708854,0.650915,1]
area_under_roc_curve
0.917199 [1,1,1,0.9,1,0.99697,0.953178,1,0.685976,0.996815,0.878693,0.787321,1,0.631098,0.405488,0.811801,1,0.644817,1,0.99824,0.990323,1,0.840625,0.625,1]
area_under_roc_curve
0.939103 [1,0.743902,1,1,0.993827,0.996951,0.957849,0.996951,0.481707,1,0.961974,0.996933,0.859568,0.484848,1,0.884472,1,0.99697,1,0.90813,0.94956,1,0.741667,0.929878,0.472727]
area_under_roc_curve
0.924388 [1,0.484756,0.996894,0.95,0.996914,1,0.976988,1,0.987805,1,0.947308,0.815951,0.857253,0.73628,0.414634,0.761491,1,0.689024,0.833333,0.977627,0.906158,0.75,0.878125,0.957576,0.472727]
area_under_roc_curve
0.94151 [1,0.739329,0.99441,0.996474,1,1,0.91866,0.996951,0.745427,1,0.972763,1,0.983025,0.993939,1,0.76646,1,0.705793,1,0.933271,0.951026,1,0.736458,0.966667,1]
area_under_roc_curve
0.932116 [1,0.746951,0.995652,0.885704,1,0.996951,0.971292,1,1,1,0.913681,1,0.955247,0.405488,0.779141,0.917391,0.993939,0.66311,1,0.987782,0.946041,1,0.75,0.911585,1]
area_under_roc_curve
0.909788 [1,0.987805,1,1,1,0.493939,0.911141,0.996951,1,0.996815,0.829876,0.774029,0.925926,0.987879,0.812883,0.732919,1,0.672256,1,0.958647,0.9739,1,0.909896,0.881098,1]
area_under_roc_curve
0.923268 [0.796524,0.742378,1,0.99359,1,1,0.922078,1,0.670732,1,0.908234,1,0.908179,0.919207,0.98773,0.706832,0.99697,0.995427,0.996933,0.922932,1,0.75,0.80625,0.935976,1]
area_under_roc_curve
0.946266 [0.821063,0.995427,0.893789,1,1,0.993902,0.960128,1,0.934451,0.996815,0.951498,1,0.993789,0.460606,0.925358,0.871429,1,0.689024,0.830266,0.940085,1,1,0.827083,0.942073,1]
area_under_roc_curve
0.932799 [1,0.487805,0.996894,0.95,1,1,0.894053,0.996951,0.980183,1,0.940603,0.839506,0.974537,1,1,0.719876,0.99697,0.996951,1,0.968829,0.986804,1,0.908854,0.6875,1]
area_under_roc_curve
0.917375 [1,0.484756,1,0.99359,1,1,0.862155,1,0.992378,1,0.94186,0.990798,0.837191,0.844512,0.662577,0.737267,1,1,0.996933,0.875817,0.991789,1,0.8875,0.89939,1]
area_under_roc_curve
0.941963 [1,0.993902,0.976398,0.990385,1,1,0.941331,0.990854,0.733232,0.996815,0.947832,0.864198,0.882609,0.457317,1,0.988199,1,0.996951,1,0.936325,0.901173,1,0.995833,0.661585,1]
area_under_roc_curve
0.945477 [1,0.748476,0.98882,0.992949,1,0.996951,0.988836,1,0.996951,0.996815,0.920071,0.808793,0.886957,0.466667,0.970348,0.995031,0.99697,0.693598,1,0.94032,0.996795,0.75,0.904167,0.644817,1]
area_under_roc_curve
0.951528 [1,1,0.793789,0.993631,1,0.731707,0.970494,0.996951,0.977134,1,0.97004,0.799591,0.998457,0.670732,0.997955,0.974534,1,0.417683,1,0.898496,0.996795,1,0.986458,0.905488,1]
area_under_roc_curve
0.938019 [1,0.692073,1,1,1,0.745427,0.973342,1,0.995427,1,0.918081,0.793456,0.968364,0.4,0.771984,0.860248,0.996951,0.657012,0.996914,0.930216,0.996774,0.99697,0.9,0.902439,1]
area_under_roc_curve
0.948413 [1,1,0.993789,0.996795,1,1,0.980178,0.996951,0.981707,1,0.919338,0.822086,1,0.737805,0.813906,0.781988,1,0.996951,1,0.871476,1,1,0.984375,0.893293,1]
area_under_roc_curve
0.953337 [1,0.998476,0.996894,0.946474,1,0.99697,0.940761,1,0.983232,1,0.947622,1,0.96142,0.863636,0.969325,0.831677,1,0.657012,1,0.926222,0.988563,1,0.988021,0.939024,1]
area_under_roc_curve
0.924886 [1,0.993902,0.861111,0.996474,0.996914,0.745427,0.965026,1,0.692073,1,0.890111,0.800613,0.954475,0.405488,1,0.868323,0.993939,0.881098,0.99182,0.949013,0.98827,0.996951,0.823958,0.646341,1]
area_under_roc_curve
0.904416 [0.802658,0.742378,0.996894,0.944231,0.993865,0.739329,0.935635,0.996951,0.702744,1,0.890844,0.762781,0.965278,0.4,0.320122,0.980124,0.996951,0.990854,0.742284,0.922227,0.996474,0.743902,0.904687,0.908537,0.472727]
area_under_roc_curve
0.908998 [1,0.684451,0.887578,0.94359,1,1,0.917635,1,1,1,0.884978,1,0.967702,0.857576,0.531697,0.736025,1,0.521341,1,0.843389,1,1,0.981771,0.878049,1]
area_under_roc_curve
0.931131 [0.794479,0.682927,0.993789,0.9,0.996914,0.996951,0.942812,0.996951,0.679878,1,0.935261,1,0.905093,0.669207,0.767894,0.847826,0.996951,0.646341,1,0.94032,0.999679,1,0.994271,0.881818,1]
area_under_roc_curve
0.917084 [1,0.996951,1,1,1,0.99697,0.964343,1,0.737805,0.996815,0.878378,0.805726,0.985714,0.721037,0.656442,0.715528,0.99697,0.99697,1,0.877585,0.952493,0.5,0.821875,0.97561,1]
area_under_roc_curve
0.938353 [0.804703,0.993902,1,0.992923,0.996933,0.996951,0.951697,1,0.971037,1,0.891578,0.588957,0.963975,0.990854,0.958841,0.869565,1,0.945122,1,0.90531,0.999038,1,0.991667,0.884146,1]
area_under_roc_curve
0.906544 [1,0.689024,0.989969,0.987179,0.996914,0.746951,0.964684,1,0.61128,0.993631,0.858789,1,0.939815,0.884146,0.997955,0.834161,1,0.653963,1,0.859023,0.996474,1,0.6125,0.934451,0.484848]
area_under_roc_curve
0.928563 [0.976483,0.719512,0.993789,0.996795,0.993827,0.984756,0.952039,1,0.719512,1,0.887911,0.808793,0.996914,1,0.996933,0.932298,1,0.993902,0.996933,0.863722,0.894135,1,0.994792,0.882622,0.475758]
area_under_roc_curve
0.92424 [0.972393,0.411585,0.996894,0.95,0.875,0.996951,0.965482,1,0.679878,0.996835,0.884664,0.996933,0.938272,0.5625,1,0.988199,1,0.672256,1,0.96179,0.930792,0.75,0.994792,0.412121,1]
area_under_roc_curve
0.955872 [1,0.996951,0.993789,0.996795,0.996933,1,0.975621,1,0.972561,0.996815,0.926147,0.783231,0.859568,0.993902,0.767894,0.878882,1,0.993902,1,0.977444,0.948387,1,0.976042,0.939394,1]
area_under_roc_curve
0.930919 [1,0.742378,1,0.944091,1,0.496951,0.977558,0.996951,0.960366,0.996815,0.898806,1,0.81713,0.698171,0.993865,0.849068,1,0.890909,0.875,0.898966,0.996795,1,0.914062,0.917683,1]
area_under_roc_curve
0.946605 [1,0.993902,0.990062,0.937721,1,1,0.956482,1,0.97561,0.996815,0.971525,0.993865,0.996914,0.487879,0.996951,0.971429,1,0.698171,1,0.854088,0.946154,1,0.807813,0.692073,1]
area_under_roc_curve
0.948617 [0.966258,1,1,0.99359,1,1,0.961039,1,0.990909,1,0.939967,0.791411,0.968944,0.869697,0.933538,0.651553,1,0.993902,0.833333,0.943609,1,1,0.915104,0.875758,1]
area_under_roc_curve
0.944476 [0.97137,0.746951,0.99441,0.996474,0.996914,1,0.978583,0.993902,0.993902,1,0.943746,0.794479,0.976852,0.99697,0.802658,0.738509,1,0.609756,1,0.96828,1,1,0.886458,0.653963,0.472727]
area_under_roc_curve
0.930467 [1,1,0.891925,0.95,1,0.734756,0.948166,1,0.960366,1,0.903415,0.795501,0.983796,0.99697,0.95501,0.768323,1,0.993939,0.657464,0.931156,0.952493,0.993902,0.993229,0.939394,1]
area_under_roc_curve
0.93955 [1,0.705793,1,1,1,0.417683,0.97152,1,1,1,0.951393,1,0.99537,0.660061,0.676829,0.821118,1,0.73628,0.996914,0.923402,0.895513,1,0.99375,0.695122,1]
area_under_roc_curve
0.939811 [1,0.710366,1,1,1,1,0.953178,0.996951,1,1,0.917452,1,0.956019,0.698171,1,0.768944,1,0.713415,1,0.972274,0.942628,1,0.886458,0.672256,1]
area_under_roc_curve
0.945882 [1,1,0.996894,0.95,1,1,0.942925,1,0.996951,0.996835,0.938613,1,0.814815,0.718182,0.822086,0.869565,1,0.66311,1,0.963816,0.996774,1,0.890625,0.89939,1]
area_under_roc_curve
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.835942 [0.8,0,0.888889,0.947368,1,0.5,0.909091,1,1,1,0.857143,0.857143,0.545455,0,0.5,0.444444,1,0.5,1,0.846154,0.952381,1,0.833333,0,1]
f_measure
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f_measure
0.840636 [0.8,0.5,1,1,0.857143,1,0.878788,0.666667,0.5,0.941176,0.85,0.857143,0.857143,0,0.571429,0.888889,1,0.666667,0.857143,0.714286,0.956522,0.666667,0.909091,0,1]
f_measure
0.795076 [0.857143,0.666667,0.909091,0.777778,1,0,0.909091,0.8,0.666667,0.947368,0.805556,0.666667,0.888889,0.333333,0.571429,0.5,1,0.333333,1,0.592593,0.952381,1,0.727273,0,1]
f_measure
0.79603 [1,1,0.857143,0.909091,1,0,0.875,0.8,0.666667,1,0.821918,0.5,0.857143,0,0.666667,0,1,0.4,1,0.774194,0.952381,1,0.363636,0,1]
f_measure
0.857928 [0.857143,0.8,1,1,1,0.5,0.875,1,0.5,1,0.85,1,0.571429,0,1,0.727273,1,0.666667,1,0.814815,1,1,0.727273,0,1]
f_measure
0.823419 [0.857143,1,0.888889,0.952381,0.666667,0.666667,0.818182,1,0.666667,1,0.894737,0.666667,0.8,0,0,0.5,1,0.5,1,0.758621,1,1,0.8,0,1]
f_measure
0.814364 [1,0.4,0.909091,0.9,1,1,0.923077,0,0,1,0.819277,1,0.571429,0,1,0.75,1,0,1,0.692308,0.956522,1,0.666667,0,1]
f_measure
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f_measure
0.836172 [0.8,0.666667,0.8,0.888889,1,1,0.956522,1,0.666667,0.947368,0.906667,0.8,0.5,0,0.666667,0.222222,1,0,0.8,0.866667,1,0.8,0.714286,0,1]
f_measure
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f_measure
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number_of_instances
166 [4,2,5,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,13,11,1,6,2,1]
number_of_instances
166 [3,2,4,10,4,1,33,2,2,9,38,3,5,2,2,5,1,2,3,13,11,2,6,2,1]
number_of_instances
166 [3,2,4,10,4,2,33,2,2,9,37,3,4,1,2,5,2,2,3,14,11,2,6,2,1]
number_of_instances
166 [3,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,2,2,3,14,10,2,6,2,1]
number_of_instances
166 [3,2,5,10,3,1,33,2,2,9,38,3,5,1,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
166 [4,2,5,10,4,1,33,2,2,8,37,3,4,2,3,5,1,2,3,14,11,2,6,1,1]
number_of_instances
166 [3,2,4,10,4,2,33,2,2,8,37,3,4,2,3,5,1,1,4,14,11,2,6,2,1]
number_of_instances
166 [3,2,4,10,3,2,33,2,2,8,38,3,5,2,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
166 [3,2,4,10,3,2,33,2,2,9,38,3,4,2,2,5,1,2,4,13,11,2,6,2,1]
number_of_instances
166 [4,2,5,10,4,1,33,2,1,9,37,3,4,1,3,5,2,1,3,14,11,2,6,2,1]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
166 [3,2,5,10,4,1,33,2,2,9,37,3,4,1,3,5,1,2,3,14,11,2,6,2,1]
number_of_instances
166 [3,2,5,10,4,2,33,2,1,8,37,3,5,2,3,5,1,2,3,14,11,2,6,1,1]
number_of_instances
166 [3,2,5,10,4,2,33,2,1,9,37,3,5,1,3,5,1,2,3,14,10,2,6,2,1]
number_of_instances
166 [4,2,5,10,4,2,33,2,2,8,37,3,4,1,3,5,1,2,3,13,11,2,6,2,1]
number_of_instances
166 [3,2,4,10,4,2,33,2,2,8,37,3,5,2,3,5,2,1,3,13,11,2,6,2,1]
number_of_instances
166 [4,2,5,10,3,1,33,2,2,9,37,3,4,2,2,5,1,2,4,13,11,2,6,2,1]
number_of_instances
166 [3,2,5,10,4,2,33,2,2,9,37,3,4,1,3,5,1,1,3,14,11,2,6,2,1]
number_of_instances
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0.815241 [1,0.4,1,0.909091,0.8,1,0.928571,1,1,1,0.789474,1,0.666667,0,0.428571,0.5,0.333333,0.333333,1,0.857143,0.909091,0.666667,0.6,0,1]
precision
0.776512 [1,0,0.833333,0.888889,0.6,0.5,0.933333,0.666667,1,1,0.789474,1,0.6,0,0,0.5,0.666667,0.4,1,0.6875,0.909091,0.333333,0.714286,0,0]
precision
0.776459 [1,1,1,0.818182,1,1,0.769231,1,0,1,0.75,1,0.666667,0,1,0.666667,1,0,1,0.454545,1,1,0.833333,0,1]
precision
0.815257 [1,1,0.714286,1,0.8,0.666667,0.885714,0.666667,1,1,0.73913,1,1,0,1,0,0.666667,0.333333,1,0.909091,0.909091,1,0.75,0,1]
precision
0.792535 [1,0.666667,1,1,1,0.5,0.861111,1,0,0.9,0.83871,1,0.5,0,0.5,0.4,0.5,0.25,1,0.714286,1,0,0.571429,0,1]
precision
0.786267 [1,0.5,1,0.8,0.75,0.666667,0.848485,1,1,1,0.74359,0.5,0.5,0.333333,0.5,1,1,0.333333,1,0.642857,0.909091,1,0.8,0,1]
precision
0.776804 [1,1,1,0.714286,0.8,0.5,0.914286,1,0,0.818182,0.697674,1,0.666667,0,1,0.4,1,0.5,1,0.75,0.909091,1,1,0,0]
precision
0.827721 [1,0.5,1,0.909091,0.666667,0.285714,0.935484,1,0.5,1,0.805556,1,0.75,0,0.6,1,1,0.5,0.75,0.846154,0.818182,1,0.75,0,0]
precision
0.79681 [0.666667,0,0.833333,1,1,0.666667,0.882353,1,0,0.888889,0.783784,0.75,0.666667,0,1,1,1,0.5,1,0.625,0.818182,1,0.75,0,1]
precision
0.867737 [1,0.666667,1,0.909091,0.75,1,0.882353,1,1,0.9,0.864865,0.666667,0.666667,1,1,1,1,0.5,1,0.8,0.909091,1,0.714286,0,1]
precision
0.803044 [1,0,1,0.888889,1,0,1,0.666667,0,0.9,0.744186,1,0.4,0,0.6,0.6,1,0,1,0.846154,0.909091,1,0.833333,0,1]
precision
0.866253 [0.75,0.4,1,0.727273,1,1,0.870968,1,0.5,0.9,0.921053,0.6,1,0,0.666667,0.5,1,1,1,0.909091,1,1,1,0,1]
precision
0.866923 [1,1,1,0.909091,1,1,0.885714,1,0,1,0.833333,1,0.8,0,0.5,0.5,1,0.5,1,0.923077,1,1,0.833333,0,1]
precision
0.811697 [1,1,1,0.9,0.8,1,0.878788,0.5,0.5,1,0.708333,1,1,0.5,1,0.5,1,0,1,0.666667,1,1,1,0,0]
precision
0.822821 [1,0,0.8,1,1,1,0.911765,1,0,1,0.888889,1,0.444444,0,0.5,0.4,1,0.333333,0.5,0.714286,1,0.5,0.75,0,1]
precision
0.843784 [1,1,1,1,1,0,0.935484,1,1,1,0.825,1,0.666667,0,0.5,0.75,1,0.333333,0.8,0.785714,0.888889,1,0.75,0,1]
precision
0.835575 [1,1,1,1,1,1,0.828571,0.666667,1,1,0.794872,1,0.666667,0,1,0.666667,1,1,1,0.666667,1,1,0.714286,0,1]
precision
0.862758 [1,1,0.833333,1,1,1,0.878788,1,1,0.888889,0.846154,1,0.666667,0,0.666667,0.8,1,1,1,0.705882,0.916667,1,1,0,1]
precision
0.858785 [1,1,1,1,1,0.666667,0.942857,0.666667,0.5,1,0.846154,1,0.5,0,0,0.666667,1,0.5,1,0.818182,1,1,1,0,1]
precision
0.830524 [1,0.5,1,1,1,1,0.911765,1,0.5,0.818182,0.842105,1,0.6,0,0,0.571429,1,0,1,0.785714,1,1,1,0,0]
precision
0.865926 [1,0.666667,1,0.909091,1,1,0.939394,1,0.5,1,0.894737,1,0.428571,0,1,0.5,1,1,1,0.785714,1,1,0.666667,0,1]
precision
0.827477 [1,1,1,0.833333,0.8,1,0.882353,1,1,1,0.767442,1,0.5,0,1,0.25,1,1,1,0.818182,1,1,0.571429,0,1]
precision
0.830574 [1,1,1,0.9,1,0,0.9375,1,0.5,0.818182,0.828571,0.333333,0.5,0,1,0.5,1,0.333333,1,0.923077,1,1,0.454545,0,1]
precision
0.798726 [0.75,0.5,0.8,0.769231,1,1,0.933333,1,0,0.9,0.783784,1,0.4,0,0.6,0.5,1,0,1,0.846154,1,1,0.666667,0,1]
precision
0.817986 [0.75,1,1,0.909091,1,1,0.828571,1,1,1,0.809524,1,0.5,0,1,0.571429,1,0,1,0.692308,1,1,0.6,0,1]
precision
0.782636 [0.75,0.5,1,0.909091,1,1,0.833333,1,0,1,0.744186,1,0.428571,0,0,1,1,0,1,0.75,1,0.666667,0.666667,0,1]
precision
0.785651 [1,0.666667,1,0.833333,1,1,0.84375,0.666667,0.5,0.9,0.733333,1,1,0,1,0.25,0.5,0.5,1,0.75,0.909091,1,0.5,0,1]
precision
0.796383 [1,0.5,1,0.833333,0.75,0.5,0.848485,1,1,1,0.815789,1,0.6,0,0,0.75,1,0.333333,1,0.615385,1,1,0.666667,0,1]
precision
0.820251 [1,1,1,0.888889,1,1,0.909091,0.666667,0.5,0.818182,0.804878,1,1,0,0.5,0.5,0.5,0.333333,1,0.642857,1,1,0.8,0,1]
precision
0.805539 [1,1,1,0.909091,0.75,0.5,0.911765,0.666667,0,1,0.729167,1,0.8,0,0,0.5,1,0.666667,1,0.888889,1,1,0.75,0,0]
precision
0.811208 [1,0,0.714286,1,0.8,0.666667,0.878788,0.666667,0,1,0.868421,1,0.8,0,1,0.5,1,0,1,0.75,0.909091,1,0.8,0,0]
precision
0.812039 [1,1,1,1,1,0.666667,0.852941,1,0,1,0.790698,0.666667,1,0,1,0.5,0.5,0.25,1,0.727273,0.846154,1,0.8,0,1]
precision
0.839169 [1,0.5,1,1,1,0,0.815789,1,1,0.818182,0.9,1,1,0,1,0.571429,1,0,1,0.769231,0.909091,1,1,0,0]
precision
0.801733 [1,1,1,1,1,1,0.90625,1,0.25,0.9,0.767442,1,0.666667,0,0,0.5,1,0.25,1,0.785714,0.909091,1,0.571429,0,0]
precision
0.80866 [0.5,0,1,1,0.666667,1,0.885714,0.666667,1,1,0.789474,1,0.333333,0,0.666667,0.5,0.666667,1,1,0.846154,1,1,0.714286,0,0]
precision
0.819433 [1,0,1,0.833333,1,0.5,0.90625,1,1,1,0.909091,0.6,0.4,0,1,0.333333,1,0.5,1,0.769231,0.916667,1,0.5,0,1]
precision
0.827218 [1,0.666667,1,1,1,1,0.885714,1,1,1,0.846154,0.75,1,0,0,0.5,1,0,1,0.705882,0.785714,1,0.75,0,1]
precision
0.817263 [1,0.25,1,1,1,1,0.820513,1,0,1,0.885714,1,0.166667,0,0.75,0.4,1,0,1,0.875,1,1,0.555556,0,1]
precision
0.813248 [1,0.25,0.714286,1,0.75,1,0.909091,1,1,1,0.852941,1,0.333333,0,0.6,0.571429,1,0,1,0.833333,0.818182,0.666667,0.8,0,0]
precision
0.817732 [1,0.2,1,0.909091,0.8,1,0.777778,0.666667,1,1,0.864865,1,0.666667,0,0,1,1,0.5,0.75,0.909091,0.9,1,0.555556,0,1]
precision
0.820834 [0.75,0.5,0.833333,1,1,1,0.885714,1,1,0.9,0.756757,1,0.666667,0,0.5,0.666667,1,1,1,0.692308,0.9,1,0.833333,0,1]
precision
0.795013 [1,1,1,1,1,1,0.941176,1,1,1,0.682927,1,0.333333,0,0.666667,0.4,0.5,0.25,1,0.75,0.833333,1,0.6,0,1]
precision
0.841819 [1,0.333333,1,0.833333,1,1,0.909091,0.333333,0.5,1,0.810811,1,0.428571,0,1,0.75,1,1,1,0.769231,1,1,1,0,1]
precision
0.880549 [1,0.666667,1,1,1,1,0.911765,0.666667,1,1,0.916667,0.75,0.75,0,1,0.75,0.333333,1,1,0.714286,1,1,0.714286,0,1]
precision
0.800583 [1,0.5,1,1,1,1,0.896552,1,0.5,1,0.809524,0.5,0,0,0.333333,0.333333,1,0.5,1,0.75,0.909091,1,0.8,0,1]
precision
0.824282 [1,0.5,1,1,1,1,0.837838,0.666667,0.5,0.888889,0.857143,1,0.428571,0,0,0.4,1,0.333333,1,0.909091,1,1,0.833333,0,1]
precision
0.878256 [1,1,1,1,1,0.5,0.96875,1,1,1,0.755556,1,0.666667,0,1,0.8,0.5,1,0.8,0.818182,1,1,1,0,1]
precision
0.830715 [1,1,1,1,1,1,0.9375,0.666667,0,1,0.780488,0.6,1,0,1,0.428571,0.5,0,1,0.666667,1,1,0.857143,0,1]
precision
0.784256 [1,0.4,1,0.833333,1,0.5,0.870968,1,1,0.9,0.725,1,0.75,0,0.666667,0.428571,1,0.25,0.666667,0.636364,1,1,0.8,0,1]
precision
0.83491 [1,0.5,1,0.9,1,0.5,1,0.666667,0,1,0.717391,1,1,0,1,0.25,0.5,1,1,0.833333,1,1,0.8,0,1]
precision
0.821146 [1,1,0.625,1,1,0.5,0.825,1,0,0.9,0.790698,0.75,0.75,0,1,0.75,1,0.5,1,0.9,1,0.666667,0.75,0,1]
precision
0.825178 [1,0.666667,1,1,1,0,0.882353,0.5,0.5,0.888889,0.780488,1,0.428571,0,1,1,1,1,1,0.8,0.909091,1,0.8,0,0]
precision
0.85387 [0.75,0.4,1,1,1,0.666667,0.909091,0.666667,0,1,0.842105,1,1,0,1,0.4,1,1,1,0.923077,0.909091,1,0.833333,0,1]
precision
0.812312 [1,1,1,0.909091,1,0.5,0.864865,0.666667,0,1,0.75,1,1,0,1,0.75,1,0.5,1,0.666667,0.9,0.666667,0.833333,0,1]
precision
0.842506 [1,0,1,0.9,1,0.5,0.909091,1,1,1,0.825,0.75,0.428571,0,1,0.5,1,0.5,1,0.916667,0.909091,1,0.833333,0,1]
precision
0.805746 [1,0.666667,1,0.909091,1,0,0.861111,1,0,0.8,0.761905,1,0.4,0,0.75,1,0.666667,0.666667,1,0.785714,1,1,0.833333,0,0]
precision
0.846668 [1,0.5,1,1,0.75,1,0.878788,1,0.5,0.888889,0.790698,1,1,0,0.5,1,1,1,1,0.714286,0.916667,0.5,1,0,1]
precision
0.803697 [0.75,1,0.833333,0.875,1,0,0.909091,0.666667,1,0.9,0.828571,0.666667,0.8,0.25,0.5,0.666667,1,0.25,1,0.571429,0.909091,1,0.8,0,1]
precision
0.80816 [1,1,1,0.833333,1,0,0.903226,0.666667,1,1,0.833333,1,1,0,0.5,0,1,0.333333,1,0.705882,0.909091,1,0.4,0,1]
precision
0.855551 [0.75,0.666667,1,1,1,0.5,0.903226,1,0.5,1,0.809524,1,0.666667,0,1,0.666667,1,1,1,0.785714,1,1,0.8,0,1]
precision
0.825969 [1,1,1,0.909091,0.666667,0.5,0.818182,1,1,1,0.871795,0.5,0.666667,0,0,0.666667,1,0.5,1,0.6875,1,1,1,0,1]
precision
0.808295 [1,0.333333,0.833333,0.9,1,1,0.9375,0,0,1,0.73913,1,0.666667,0,1,1,1,0,1,0.75,0.916667,1,0.666667,0,1]
precision
0.794008 [1,0.5,1,0.9,0.571429,1,0.909091,0.666667,0.5,1,0.756098,1,0.333333,0,1,0.6,0.5,0.5,1,0.625,1,0.666667,1,0,0]
precision
0.837355 [1,1,0.8,0.888889,1,1,0.916667,1,1,0.9,0.894737,1,0.5,0,1,0.25,1,0,1,0.8125,1,0.666667,0.625,0,1]
precision
0.810254 [1,1,1,0.833333,0.75,1,0.909091,1,0,0.818182,0.769231,1,1,0,1,0.5,0.5,0.5,1,0.65,0.916667,1,1,0,0]
precision
0.782069 [1,1,1,0.909091,1,0.25,0.875,1,1,1,0.738095,1,0,0,0.5,0.25,0.666667,0.5,1,0.6875,0.846154,0.5,1,0,1]
predictive_accuracy
0.837349
predictive_accuracy
0.837349
predictive_accuracy
0.855422
predictive_accuracy
0.819277
predictive_accuracy
0.831325
predictive_accuracy
0.795181
predictive_accuracy
0.855422
predictive_accuracy
0.831325
predictive_accuracy
0.819277
predictive_accuracy
0.86747
predictive_accuracy
0.861446
predictive_accuracy
0.813253
predictive_accuracy
0.807229
predictive_accuracy
0.789157
predictive_accuracy
0.831325
predictive_accuracy
0.819277
predictive_accuracy
0.759036
predictive_accuracy
0.837349
predictive_accuracy
0.813253
predictive_accuracy
0.849398
predictive_accuracy
0.831325
predictive_accuracy
0.825301
predictive_accuracy
0.837349
predictive_accuracy
0.783133
predictive_accuracy
0.777108
predictive_accuracy
0.861446
predictive_accuracy
0.855422
predictive_accuracy
0.801205
predictive_accuracy
0.837349
predictive_accuracy
0.873494
predictive_accuracy
0.855422
predictive_accuracy
0.813253
predictive_accuracy
0.831325
predictive_accuracy
0.819277
predictive_accuracy
0.795181
predictive_accuracy
0.783133
predictive_accuracy
0.801205
predictive_accuracy
0.819277
predictive_accuracy
0.795181
predictive_accuracy
0.783133
predictive_accuracy
0.795181
predictive_accuracy
0.813253
predictive_accuracy
0.813253
predictive_accuracy
0.861446
predictive_accuracy
0.825301
predictive_accuracy
0.837349
predictive_accuracy
0.873494
predictive_accuracy
0.819277
predictive_accuracy
0.825301
predictive_accuracy
0.855422
predictive_accuracy
0.843373
predictive_accuracy
0.86747
predictive_accuracy
0.861446
predictive_accuracy
0.855422
predictive_accuracy
0.873494
predictive_accuracy
0.831325
predictive_accuracy
0.819277
predictive_accuracy
0.801205
predictive_accuracy
0.837349
predictive_accuracy
0.813253
predictive_accuracy
0.795181
predictive_accuracy
0.807229
predictive_accuracy
0.819277
predictive_accuracy
0.807229
predictive_accuracy
0.831325
predictive_accuracy
0.831325
predictive_accuracy
0.86747
predictive_accuracy
0.813253
predictive_accuracy
0.831325
predictive_accuracy
0.819277
predictive_accuracy
0.854545
predictive_accuracy
0.812121
predictive_accuracy
0.806061
predictive_accuracy
0.812121
predictive_accuracy
0.830303
predictive_accuracy
0.8
predictive_accuracy
0.836364
predictive_accuracy
0.884848
predictive_accuracy
0.824242
predictive_accuracy
0.836364
predictive_accuracy
0.872727
predictive_accuracy
0.836364
predictive_accuracy
0.775758
predictive_accuracy
0.842424
predictive_accuracy
0.830303
predictive_accuracy
0.824242
predictive_accuracy
0.860606
predictive_accuracy
0.824242
predictive_accuracy
0.842424
predictive_accuracy
0.824242
predictive_accuracy
0.848485
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.836364
predictive_accuracy
0.830303
predictive_accuracy
0.793939
predictive_accuracy
0.848485
predictive_accuracy
0.830303
predictive_accuracy
0.781818
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
prior_entropy
3.812516
recall
0.837349 [0.5,0.5,0.8,1,1,1,0.909091,1,0,1,0.864865,0.333333,0.5,0,0.5,0.8,1,1,1,0.692308,1,1,1,0,1]
recall
0.837349 [0.666667,1,1,1,1,0,0.969697,0.5,0.5,1,0.921053,0.666667,0.4,0,1,0.4,1,0.5,1,0.846154,0.909091,0.5,0.666667,0,0]
recall
0.855422 [1,1,1,1,1,1,0.878788,1,0.5,1,0.945946,1,0.25,0,0,0.2,1,0,1,0.857143,1,1,0.833333,0,1]
recall
0.819277 [1,0.5,0.6,1,1,0.5,0.939394,1,0.5,1,0.837838,1,0.75,0,0.666667,0.6,1,0.5,0.666667,0.714286,1,0.5,0.5,0,1]
recall
0.831325 [1,1,1,1,1,1,0.878788,0.5,0,1,0.894737,0.333333,0.2,0,0,0.8,1,1,1,0.692308,1,1,1,0,1]
recall
0.795181 [0.5,0.5,0.8,1,1,1,0.818182,1,0.5,1,0.864865,0.666667,0.5,0,0.666667,0.4,1,1,1,0.642857,0.909091,1,0.666667,0,1]
recall
0.855422 [0.666667,1,1,1,1,1,0.939394,1,0.5,1,0.918919,1,0.25,0,0.333333,0.8,1,0,0.75,0.785714,1,1,0.666667,0,1]
recall
0.831325 [1,1,1,1,1,0.5,0.878788,0.5,0.5,1,0.868421,0.666667,0.8,0,0.333333,0.4,1,1,1,0.615385,1,1,1,0,1]
recall
0.819277 [0.666667,0,1,1,1,1,0.909091,1,0.5,1,0.815789,0.666667,1,0.5,1,0.2,1,0,1,0.615385,0.909091,1,1,0,1]
recall
0.86747 [0.75,1,1,1,1,1,0.878788,1,0,1,0.945946,1,0.75,0,1,0.6,1,1,1,0.642857,0.909091,1,0.666667,0,1]
recall
0.861446 [1,0,1,1,1,1,0.909091,1,0,1,0.918919,1,0.25,0.5,0.5,0.6,1,0.5,1,0.846154,1,1,0.833333,0,0]
recall
0.813253 [0.666667,0.5,1,1,0.75,1,0.878788,1,0,1,0.837838,0.75,1,0,0,0.6,1,0.5,0.666667,0.615385,1,1,0.833333,0,1]
recall
0.807229 [0.666667,1,0.8,1,1,0.5,0.878788,1,0,1,0.783784,0.666667,0.5,0,0,0.6,1,1,0.666667,0.785714,1,1,0.833333,0,0]
recall
0.789157 [1,1,1,1,1,1,0.757576,0.5,0,1,0.810811,0.666667,0,0,0.333333,0.8,1,0,0.666667,0.857143,1,1,0.833333,0,1]
recall
0.831325 [1,0.5,1,1,1,1,0.818182,1,1,1,0.837838,1,0.8,0,0.333333,0.2,1,0.5,1,0.785714,1,1,1,0,0]
recall
0.819277 [1,1,0.8,1,0.75,0.5,0.818182,1,0,1,0.891892,0.666667,0.8,0,0.333333,0.4,1,0.5,1,0.785714,1,1,0.666667,0,1]
recall
0.759036 [1,0.5,1,1,1,0.5,0.787879,1,0,1,0.756757,0.666667,0.75,0,0.333333,0.6,1,0.5,1,0.769231,0.818182,0.5,0.333333,0,1]
recall
0.837349 [1,0,0.75,1,1,0.5,0.848485,1,0,1,0.918919,0.666667,1,0,0.666667,0.6,1,1,1,0.846154,1,1,0.5,0,1]
recall
0.813253 [1,1,1,0.8,1,1,0.848485,1,0,1,0.810811,0.666667,1,0,0,0.2,1,0.5,1,1,1,1,0.5,0,1]
recall
0.849398 [1,0.5,1,1,1,1,0.909091,1,0,1,0.918919,1,0.5,0,1,0.6,1,1,1,0.714286,0.909091,1,0.5,0,0]
recall
0.831325 [1,0,1,0.9,1,1,0.969697,1,0.5,1,0.918919,0.666667,0.75,0.5,0,0.4,1,0.5,0.666667,0.769231,0.818182,0.5,0.666667,0,0]
recall
0.825301 [1,0.5,0.8,0.9,1,1,0.787879,1,0,1,0.864865,1,0.75,1,1,0.4,1,0.5,1,0.928571,0.909091,1,0.333333,0,1]
recall
0.837349 [1,0.5,0.8,0.777778,1,1,0.909091,1,0.5,1,0.864865,1,0.75,0,0.666667,0.4,1,0.5,1,1,0.909091,1,0.5,0,1]
recall
0.783133 [1,0.5,1,1,1,0,0.818182,1,0.5,1,0.72973,0.666667,0,0,0.666667,0.2,1,0.5,1,0.857143,1,1,0.833333,0,1]
recall
0.777108 [0.666667,0,1,1,1,1,0.818182,1,0,1,0.918919,1,0,0,1,0,1,0.5,1,0.571429,1,0.5,0.666667,0,1]
recall
0.861446 [0.666667,0.5,0.8,1,1,1,0.969697,1,0,1,0.945946,1,0.8,0,0.666667,0.8,1,0,0.666667,0.714286,1,1,0.666667,0,1]
recall
0.855422 [1,0,1,0.9,1,1,0.848485,1,0.5,1,0.945946,0.75,0.75,0,1,0.2,1,1,1,0.846154,0.909091,1,0.833333,0,1]
recall
0.801205 [1,0,1,1,1,1,0.787879,1,0.5,1,0.864865,1,0.5,0,0.333333,0.4,1,1,1,0.692308,1,1,0.5,0,1]
recall
0.837349 [1,1,0.6,1,1,1,0.848485,1,0,1,0.918919,0.75,0.4,0,1,0.8,1,1,1,0.785714,0.818182,1,0.833333,0,1]
recall
0.873494 [1,0.5,0.6,1,1,1,0.878788,1,1,1,0.891892,0.666667,0.8,0,0.666667,1,1,0.5,1,0.928571,1,0.5,0.833333,0,1]
recall
0.855422 [1,1,0.6,1,1,0.5,0.939394,1,0.5,1,0.945946,0.666667,1,0,0.333333,0.6,1,0,1,0.714286,1,1,0.833333,0,1]
recall
0.813253 [1,0.5,1,0.888889,1,0.5,0.909091,1,0.5,1,0.891892,0.666667,0.25,0,0,0.4,1,0.5,0.75,0.714286,1,1,0.833333,0,1]
recall
0.831325 [1,1,0.8,1,1,1,0.909091,1,0,1,0.864865,0.666667,1,0,0,0.6,1,1,1,0.714286,1,1,0.5,0,1]
recall
0.819277 [1,0.5,1,0.9,1,1,0.787879,1,0,1,0.945946,1,0.75,0,0.666667,0,1,0.5,1,0.714286,0.909091,1,0.833333,0,1]
recall
0.795181 [1,1,0.5,1,1,0.5,0.787879,1,0.5,1,0.810811,0.666667,0.5,0,1,0.8,1,0.5,0.666667,0.857143,0.909091,1,0.5,0,1]
recall
0.783133 [0.666667,0,1,0.8,1,0.5,0.848485,1,0.5,1,0.810811,0.666667,0.75,0,0,0.6,1,1,0.5,0.785714,1,0.5,0.833333,0,0]
recall
0.801205 [1,0.5,0.6,0.9,1,1,0.909091,1,0,1,0.891892,1,0.8,0,0.333333,0.4,1,0,1,0.384615,1,1,0.833333,0,1]
recall
0.819277 [0.666667,0.5,1,0.8,1,1,0.939394,1,0.5,1,0.918919,1,0.25,0,0.666667,0,1,0.5,1,0.714286,1,1,0.5,0,1]
recall
0.795181 [1,1,1,1,1,1,0.939394,1,0,1,0.702703,0.666667,0.8,0,0.333333,0.4,1,1,1,0.714286,0.909091,0,0.666667,0,1]
recall
0.783133 [0.666667,1,1,0.888889,1,1,0.848485,1,0.5,1,0.783784,0.333333,0.4,0.5,0.5,0.4,1,0.5,1,0.642857,1,1,0.666667,0,1]
recall
0.795181 [1,0.5,0.75,1,1,0.5,0.969697,1,0,1,0.810811,1,0.5,0,0.666667,0.4,1,0.5,1,0.642857,1,1,0.333333,0,0]
recall
0.813253 [0.666667,0.5,0.8,1,1,1,0.878788,1,0.5,1,0.783784,0.666667,0.75,0,1,0.2,1,1,1,0.785714,0.818182,1,1,0,0]
recall
0.813253 [0.666667,0,1,0.9,0.75,1,0.909091,1,0,1,0.783784,1,0.5,0,1,0.8,1,0.5,1,0.769231,0.818182,0.5,1,0,1]
recall
0.861446 [1,1,0.8,1,1,1,0.909091,1,0.5,1,0.864865,0.666667,0.5,0.5,0.333333,0.6,1,1,1,0.857143,0.909091,1,0.833333,0,1]
recall
0.825301 [1,0,1,0.888889,1,0,0.909091,1,0,1,0.864865,1,0.5,0,1,0.6,1,0,0.75,0.785714,1,1,0.833333,0,1]
recall
0.837349 [1,1,0.6,0.888889,1,1,0.818182,1,0.5,1,0.921053,1,0.5,0,1,1,1,0.5,1,0.714286,0.9,1,0.5,0,1]
recall
0.873494 [0.666667,1,1,1,1,1,0.939394,1,0,1,0.921053,0.666667,0.8,0,0.333333,0.2,1,1,0.666667,0.857143,1,1,0.833333,0,1]
recall
0.819277 [0.666667,0.5,0.8,0.9,1,1,0.878788,1,0.5,1,0.918919,0.666667,0.75,1,0.666667,0.2,1,0,1,0.714286,1,1,0.666667,0,0]
recall
0.825301 [1,0,0.8,0.8,1,0.5,0.939394,1,0,1,0.864865,0.666667,1,0,0.666667,0.4,1,1,0.333333,0.714286,0.909091,1,1,0,1]
recall
0.855422 [1,0.5,1,1,1,0,0.878788,1,1,1,0.891892,1,1,0,0.5,0.6,1,0.5,1,0.785714,0.8,1,1,0,1]
recall
0.843373 [1,0.5,1,1,1,1,0.878788,1,0.5,1,0.837838,1,0.5,0,1,0.4,1,0.5,1,0.857143,0.9,1,0.833333,0,1]
recall
0.86747 [1,1,1,0.9,1,1,0.878788,1,0.5,1,0.891892,1,0.5,0,0.666667,0.8,1,0.5,1,0.857143,1,1,0.666667,0,1]
recall
0.861446 [0.666667,0.5,1,0.9,1,1,1,1,1,1,0.891892,1,1,0,0,0.4,1,1,1,0.692308,0.909091,1,0.833333,0,1]
recall
0.855422 [0.75,0.5,1,1,0.666667,1,0.939394,1,1,1,0.864865,1,0.75,0,0,0.8,1,0,1,0.785714,1,1,1,0,0]
recall
0.873494 [1,1,0.8,1,1,1,0.939394,1,0.5,1,0.918919,1,0.75,0,1,0.4,1,1,1,0.785714,0.9,1,0.666667,0,1]
recall
0.831325 [1,0.5,1,1,1,1,0.909091,0.5,0.5,1,0.891892,1,0.25,0,0.5,0.2,1,0.5,1,0.692308,1,1,0.666667,0,1]
recall
0.819277 [1,1,0.8,1,1,0,0.909091,1,0.5,1,0.783784,0.333333,0.5,0,0.333333,0.4,1,0.5,1,0.857143,1,1,0.833333,0,1]
recall
0.801205 [1,1,0.8,1,0.75,1,0.848485,1,0,1,0.783784,1,0.5,0,1,0.2,1,0,1,0.785714,0.9,0.5,1,0,1]
recall
0.837349 [1,1,1,1,1,1,0.878788,0.5,0.5,1,0.918919,1,0.5,0,0.333333,0.8,1,0,1,0.642857,1,1,0.5,0,1]
recall
0.813253 [1,0.5,1,1,1,1,0.909091,1,0,1,0.842105,1,0.75,0,0,0.4,1,0,0.666667,0.692308,1,1,0.666667,0,1]
recall
0.795181 [1,1,0.8,1,0.75,0.5,0.818182,1,0.5,1,0.891892,1,0.75,0,0.333333,0.2,1,0.5,1,0.642857,1,1,0.333333,0,1]
recall
0.807229 [0.75,0.5,0.6,1,1,1,0.848485,1,0.5,1,0.837838,1,0.75,0,0,0.6,1,0.5,1,0.571429,1,1,1,0,1]
recall
0.819277 [1,0.5,1,0.8,1,0.5,0.909091,1,0.5,1,0.868421,0.75,0.25,0,0.666667,0.6,1,1,1,0.692308,1,1,0.666667,0,1]
recall
0.807229 [0.666667,0.5,0.6,1,1,1,0.939394,1,0,1,0.945946,0.5,1,0,0,0.4,1,1,1,0.571429,0.909091,1,0.5,0,0]
recall
0.831325 [0.666667,0,1,0.8,1,1,0.878788,1,0,1,0.891892,0.666667,1,0,1,0.6,1,0,1,0.857143,1,1,0.666667,0,0]
recall
0.831325 [1,1,1,1,1,1,0.878788,1,0,1,0.918919,0.666667,0.5,0,0.666667,0.4,1,0.5,1,0.615385,1,1,0.666667,0,1]
recall
0.86747 [1,0.5,1,1,0.75,0,0.939394,1,0.5,1,0.972973,1,0.5,0,1,0.8,1,0,1,0.714286,1,1,0.833333,0,0]
recall
0.813253 [0.666667,0.5,1,1,1,1,0.878788,1,0.5,1,0.891892,0.75,0.5,0,0,0.4,1,0.5,0.666667,0.785714,1,1,0.666667,0,0]
recall
0.831325 [0.333333,0,1,1,1,1,0.939394,1,1,1,0.810811,1,0.25,0,0.666667,0.6,1,0.5,1,0.785714,1,1,0.833333,0,0]
recall
0.819277 [1,0,0.75,1,1,0.5,0.878788,1,0.5,1,0.810811,1,0.5,0,1,0.4,1,0.5,1,0.769231,1,1,0.833333,0,1]
recall
0.854545 [1,1,1,0.9,1,1,0.939394,1,0.5,1,0.868421,1,0.4,0,0,0.4,1,0,1,0.857143,1,1,1,0,1]
recall
0.812121 [1,0.5,1,1,1,1,0.969697,1,0,1,0.837838,1,0.25,0,1,0.4,1,0,0.666667,0.5,0.9,1,0.833333,0,1]
recall
0.806061 [1,0.5,1,0.8,1,1,0.909091,1,0.5,1,0.783784,1,0.6,0,1,0.8,1,0,0.666667,0.714286,0.9,1,0.666667,0,0]
recall
0.812121 [0.666667,0.5,1,1,1,1,0.848485,1,0.5,1,0.864865,1,0.4,0,0,0.2,1,1,1,0.769231,0.9,1,0.833333,0,1]
recall
0.830303 [1,1,1,0.9,1,1,0.939394,1,0.5,1,0.756757,1,0.5,0,0.5,0.8,1,0.5,1,0.642857,0.9,1,0.833333,0,1]
recall
0.8 [0.666667,0.5,1,1,1,1,0.969697,1,0.5,1,0.756757,1,0.25,0,0.666667,0.4,1,0.5,1,0.692308,0.909091,1,0.5,0,1]
recall
0.836364 [1,0.5,0.8,1,1,1,0.909091,0.5,0.5,1,0.810811,1,0.75,0,1,0.6,1,0.5,1,0.714286,1,1,0.833333,0,1]
recall
0.884848 [1,1,1,1,1,1,0.939394,1,1,1,0.891892,1,0.75,0,0.5,0.6,1,0.5,1,0.714286,1,1,0.833333,0,1]
recall
0.824242 [1,0.5,1,1,1,1,0.787879,1,0.5,1,0.918919,1,0,0,0.333333,0.4,1,0.5,1,0.857143,1,1,0.666667,0,1]
recall
0.836364 [1,0.5,1,1,1,1,0.939394,1,0.5,1,0.810811,1,0.75,0,0,0.4,1,0.5,0.666667,0.769231,1,1,0.833333,0,1]
recall
0.872727 [0.666667,0.5,1,0.9,1,1,0.939394,1,0.5,1,0.918919,1,0.8,0,1,0.8,1,1,1,0.642857,0.909091,1,0.833333,0,1]
recall
0.836364 [1,1,1,1,1,0.5,0.909091,1,0,1,0.864865,1,0.5,0,0.333333,0.6,1,0,1,0.714286,0.9,1,1,0,1]
recall
0.775758 [0.666667,1,0.8,1,1,1,0.818182,0.5,0.5,1,0.783784,1,0.6,0,0.666667,0.6,1,0.5,0.666667,0.5,1,1,0.666667,0,1]
recall
0.842424 [0.666667,0.5,1,0.9,1,1,0.909091,1,0,1,0.891892,1,0.6,0,1,0.2,1,1,1,0.769231,1,1,0.666667,0,1]
recall
0.830303 [0.666667,0.5,1,0.7,0.666667,1,1,1,0,1,0.918919,0.75,0.75,0,0.666667,0.6,1,0.5,0.666667,0.692308,1,1,0.5,0,1]
recall
0.824242 [1,1,1,1,1,0,0.909091,1,0.5,1,0.864865,0.75,0.75,0,1,0.4,1,1,1,0.571429,0.909091,1,0.666667,0,0]
recall
0.860606 [1,1,1,1,1,1,0.909091,1,0,1,0.864865,1,0.5,0,0.5,0.4,1,1,1,0.857143,1,1,0.833333,0,1]
recall
0.824242 [1,1,1,1,1,1,0.969697,1,0,1,0.810811,1,0.25,0,1,0.6,1,0.5,0.666667,0.571429,0.818182,1,0.833333,0,1]
recall
0.842424 [0.666667,0,0.8,1,1,0.5,0.909091,1,1,1,0.891892,1,0.75,0,0.333333,0.4,1,0.5,1,0.785714,1,1,0.833333,0,1]
recall
0.824242 [0.666667,1,0.8,1,0.75,0,0.939394,1,0,1,0.864865,0.666667,0.5,0,1,0.2,1,1,1,0.785714,0.909091,1,0.833333,0,0]
recall
0.848485 [0.666667,0.5,1,1,1,1,0.878788,0.5,0.5,1,0.918919,0.75,0.75,0,0.666667,0.8,1,0.5,0.75,0.714286,1,1,0.833333,0,1]
recall
0.8 [1,0.5,1,0.7,1,0,0.909091,1,0.5,1,0.783784,0.666667,1,0.5,0.666667,0.4,1,0.5,1,0.615385,1,1,0.666667,0,1]
recall
0.8 [1,1,0.75,1,1,0,0.848485,1,0.5,1,0.810811,0.333333,0.75,0,1,0,1,0.5,1,0.857143,1,1,0.333333,0,1]
recall
0.866667 [1,1,1,1,1,0.5,0.848485,1,0.5,1,0.894737,1,0.5,0,1,0.8,1,0.5,1,0.846154,1,1,0.666667,0,1]
recall
0.836364 [0.75,1,0.8,1,0.666667,1,0.818182,1,0.5,1,0.918919,1,1,0,0,0.4,1,0.5,1,0.846154,1,1,0.666667,0,1]
recall
0.830303 [1,0.5,1,0.9,1,1,0.909091,0,0,1,0.918919,1,0.5,0,1,0.6,1,0,1,0.642857,1,1,0.666667,0,1]
recall
0.793939 [0.333333,0.5,0.75,0.9,1,1,0.909091,1,0.5,1,0.837838,1,0.25,0,0.333333,0.6,1,1,0.75,0.714286,1,1,0.666667,0,0]
recall
0.848485 [0.666667,0.5,0.8,0.888889,1,1,1,1,0.5,1,0.918919,0.666667,0.5,0,0.5,0.2,1,0,0.666667,0.928571,1,1,0.833333,0,1]
recall
0.830303 [1,1,0.75,1,0.75,0.5,0.909091,1,0,1,0.810811,1,0.75,0,1,0.2,1,0.5,0.666667,1,1,1,0.666667,0,0]
recall
0.781818 [0.666667,0.5,0.8,1,1,1,0.848485,1,0.5,1,0.837838,0.666667,0,0,0.333333,0.2,1,0.5,0.666667,0.785714,1,1,0.666667,0,1]
relative_absolute_error
0.251567
relative_absolute_error
0.256456
relative_absolute_error
0.230965
relative_absolute_error
0.261521
relative_absolute_error
0.271272
relative_absolute_error
0.306625
relative_absolute_error
0.231908
relative_absolute_error
0.246596
relative_absolute_error
0.262613
relative_absolute_error
0.212801
relative_absolute_error
0.229701
relative_absolute_error
0.280612
relative_absolute_error
0.276667
relative_absolute_error
0.284253
relative_absolute_error
0.250534
relative_absolute_error
0.252789
relative_absolute_error
0.313467
relative_absolute_error
0.263065
relative_absolute_error
0.281623
relative_absolute_error
0.224613
relative_absolute_error
0.254508
relative_absolute_error
0.246257
relative_absolute_error
0.248485
relative_absolute_error
0.302245
relative_absolute_error
0.303496
relative_absolute_error
0.230007
relative_absolute_error
0.241496
relative_absolute_error
0.287556
relative_absolute_error
0.238585
relative_absolute_error
0.221219
relative_absolute_error
0.22647
relative_absolute_error
0.261983
relative_absolute_error
0.242996
relative_absolute_error
0.263064
relative_absolute_error
0.280812
relative_absolute_error
0.309642
relative_absolute_error
0.289103
relative_absolute_error
0.27526
relative_absolute_error
0.291341
relative_absolute_error
0.293019
relative_absolute_error
0.30165
relative_absolute_error
0.273684
relative_absolute_error
0.272136
relative_absolute_error
0.236067
relative_absolute_error
0.249893
relative_absolute_error
0.239537
relative_absolute_error
0.24039
relative_absolute_error
0.271997
relative_absolute_error
0.258621
relative_absolute_error
0.228503
relative_absolute_error
0.245846
relative_absolute_error
0.222734
relative_absolute_error
0.228231
relative_absolute_error
0.226103
relative_absolute_error
0.204169
relative_absolute_error
0.25678
relative_absolute_error
0.276757
relative_absolute_error
0.285584
relative_absolute_error
0.241862
relative_absolute_error
0.270948
relative_absolute_error
0.300467
relative_absolute_error
0.289917
relative_absolute_error
0.26622
relative_absolute_error
0.288409
relative_absolute_error
0.24391
relative_absolute_error
0.255708
relative_absolute_error
0.211725
relative_absolute_error
0.286371
relative_absolute_error
0.252052
relative_absolute_error
0.274052
relative_absolute_error
0.231377
relative_absolute_error
0.268927
relative_absolute_error
0.262527
relative_absolute_error
0.2767
relative_absolute_error
0.253338
relative_absolute_error
0.279813
relative_absolute_error
0.235539
relative_absolute_error
0.193872
relative_absolute_error
0.266807
relative_absolute_error
0.247615
relative_absolute_error
0.221201
relative_absolute_error
0.236375
relative_absolute_error
0.314949
relative_absolute_error
0.239558
relative_absolute_error
0.264965
relative_absolute_error
0.269609
relative_absolute_error
0.219232
relative_absolute_error
0.260161
relative_absolute_error
0.252586
relative_absolute_error
0.26419
relative_absolute_error
0.245809
relative_absolute_error
0.283278
relative_absolute_error
0.269568
relative_absolute_error
0.227692
relative_absolute_error
0.255094
relative_absolute_error
0.252501
relative_absolute_error
0.299348
relative_absolute_error
0.240333
relative_absolute_error
0.243663
relative_absolute_error
0.293233
root_mean_prior_squared_error
0.188368
root_mean_prior_squared_error
0.188112
root_mean_prior_squared_error
0.188311
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188094
root_mean_prior_squared_error
0.188322
root_mean_prior_squared_error
0.188344
root_mean_prior_squared_error
0.188173
root_mean_prior_squared_error
0.188135
root_mean_prior_squared_error
0.188271
root_mean_prior_squared_error
0.188381
root_mean_prior_squared_error
0.188375
root_mean_prior_squared_error
0.188288
root_mean_prior_squared_error
0.188276
root_mean_prior_squared_error
0.188315
root_mean_prior_squared_error
0.188327
root_mean_prior_squared_error
0.18841
root_mean_prior_squared_error
0.188431
root_mean_prior_squared_error
0.18837
root_mean_prior_squared_error
0.188277
root_mean_prior_squared_error
0.188381
root_mean_prior_squared_error
0.188278
root_mean_prior_squared_error
0.188341
root_mean_prior_squared_error
0.188276
root_mean_prior_squared_error
0.188355
root_mean_prior_squared_error
0.18834
root_mean_prior_squared_error
0.188372
root_mean_prior_squared_error
0.188426
root_mean_prior_squared_error
0.188272
root_mean_prior_squared_error
0.18834
root_mean_prior_squared_error
0.188408
root_mean_prior_squared_error
0.188384
root_mean_prior_squared_error
0.188332
root_mean_prior_squared_error
0.188276
root_mean_prior_squared_error
0.188355
root_mean_prior_squared_error
0.188358
root_mean_prior_squared_error
0.188364
root_mean_prior_squared_error
0.188351
root_mean_prior_squared_error
0.18826
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188369
root_mean_prior_squared_error
0.18833
root_mean_prior_squared_error
0.188412
root_mean_prior_squared_error
0.188295
root_mean_prior_squared_error
0.188401
root_mean_prior_squared_error
0.188151
root_mean_prior_squared_error
0.188009
root_mean_prior_squared_error
0.188333
root_mean_prior_squared_error
0.188282
root_mean_prior_squared_error
0.188357
root_mean_prior_squared_error
0.188369
root_mean_prior_squared_error
0.18833
root_mean_prior_squared_error
0.188412
root_mean_prior_squared_error
0.188291
root_mean_prior_squared_error
0.188346
root_mean_prior_squared_error
0.188378
root_mean_prior_squared_error
0.188342
root_mean_prior_squared_error
0.188333
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188175
root_mean_prior_squared_error
0.188344
root_mean_prior_squared_error
0.188349
root_mean_prior_squared_error
0.188173
root_mean_prior_squared_error
0.188291
root_mean_prior_squared_error
0.188355
root_mean_prior_squared_error
0.188393
root_mean_prior_squared_error
0.188356
root_mean_prior_squared_error
0.188333
root_mean_prior_squared_error
0.1884
root_mean_prior_squared_error
0.188393
root_mean_prior_squared_error
0.187924
root_mean_prior_squared_error
0.188231
root_mean_prior_squared_error
0.188209
root_mean_prior_squared_error
0.188296
root_mean_prior_squared_error
0.188221
root_mean_prior_squared_error
0.188263
root_mean_prior_squared_error
0.188223
root_mean_prior_squared_error
0.188143
root_mean_prior_squared_error
0.188267
root_mean_prior_squared_error
0.188307
root_mean_prior_squared_error
0.188184
root_mean_prior_squared_error
0.188231
root_mean_prior_squared_error
0.188209
root_mean_prior_squared_error
0.188359
root_mean_prior_squared_error
0.188241
root_mean_prior_squared_error
0.188191
root_mean_prior_squared_error
0.188223
root_mean_prior_squared_error
0.188168
root_mean_prior_squared_error
0.188276
root_mean_prior_squared_error
0.188202
root_mean_prior_squared_error
0.188192
root_mean_prior_squared_error
0.188307
root_mean_prior_squared_error
0.188237
root_mean_prior_squared_error
0.188166
root_mean_prior_squared_error
0.188241
root_mean_prior_squared_error
0.188201
root_mean_prior_squared_error
0.188281
root_mean_prior_squared_error
0.188232
root_mean_prior_squared_error
0.188264
root_mean_prior_squared_error
0.188202
root_mean_squared_error
0.107845
root_mean_squared_error
0.107501
root_mean_squared_error
0.10002
root_mean_squared_error
0.108674
root_mean_squared_error
0.108243
root_mean_squared_error
0.119848
root_mean_squared_error
0.101271
root_mean_squared_error
0.107605
root_mean_squared_error
0.112112
root_mean_squared_error
0.095042
root_mean_squared_error
0.094164
root_mean_squared_error
0.116612
root_mean_squared_error
0.117085
root_mean_squared_error
0.120258
root_mean_squared_error
0.109141
root_mean_squared_error
0.108979
root_mean_squared_error
0.128667
root_mean_squared_error
0.110133
root_mean_squared_error
0.116903
root_mean_squared_error
0.101078
root_mean_squared_error
0.110702
root_mean_squared_error
0.105584
root_mean_squared_error
0.108411
root_mean_squared_error
0.123777
root_mean_squared_error
0.121222
root_mean_squared_error
0.100205
root_mean_squared_error
0.102451
root_mean_squared_error
0.118901
root_mean_squared_error
0.106667
root_mean_squared_error
0.098337
root_mean_squared_error
0.098946
root_mean_squared_error
0.109737
root_mean_squared_error
0.105759
root_mean_squared_error
0.109374
root_mean_squared_error
0.115156
root_mean_squared_error
0.124643
root_mean_squared_error
0.119647
root_mean_squared_error
0.113182
root_mean_squared_error
0.117309
root_mean_squared_error
0.118552
root_mean_squared_error
0.123038
root_mean_squared_error
0.113517
root_mean_squared_error
0.114024
root_mean_squared_error
0.09943
root_mean_squared_error
0.108444
root_mean_squared_error
0.104856
root_mean_squared_error
0.098835
root_mean_squared_error
0.110227
root_mean_squared_error
0.110163
root_mean_squared_error
0.099218
root_mean_squared_error
0.104191
root_mean_squared_error
0.099455
root_mean_squared_error
0.096187
root_mean_squared_error
0.097699
root_mean_squared_error
0.090707
root_mean_squared_error
0.109552
root_mean_squared_error
0.114597
root_mean_squared_error
0.113286
root_mean_squared_error
0.106069
root_mean_squared_error
0.111924
root_mean_squared_error
0.119942
root_mean_squared_error
0.115008
root_mean_squared_error
0.109819
root_mean_squared_error
0.113272
root_mean_squared_error
0.105566
root_mean_squared_error
0.107316
root_mean_squared_error
0.096446
root_mean_squared_error
0.11597
root_mean_squared_error
0.107732
root_mean_squared_error
0.113049
root_mean_squared_error
0.098252
root_mean_squared_error
0.110436
root_mean_squared_error
0.111511
root_mean_squared_error
0.114309
root_mean_squared_error
0.108116
root_mean_squared_error
0.117252
root_mean_squared_error
0.102085
root_mean_squared_error
0.090764
root_mean_squared_error
0.109664
root_mean_squared_error
0.105742
root_mean_squared_error
0.09492
root_mean_squared_error
0.103317
root_mean_squared_error
0.125299
root_mean_squared_error
0.101145
root_mean_squared_error
0.108453
root_mean_squared_error
0.109346
root_mean_squared_error
0.094237
root_mean_squared_error
0.111124
root_mean_squared_error
0.103496
root_mean_squared_error
0.112209
root_mean_squared_error
0.104705
root_mean_squared_error
0.115804
root_mean_squared_error
0.116132
root_mean_squared_error
0.095982
root_mean_squared_error
0.108719
root_mean_squared_error
0.107771
root_mean_squared_error
0.118447
root_mean_squared_error
0.10379
root_mean_squared_error
0.107249
root_mean_squared_error
0.121906
root_relative_squared_error
0.57252
root_relative_squared_error
0.571474
root_relative_squared_error
0.531142
root_relative_squared_error
0.576825
root_relative_squared_error
0.575471
root_relative_squared_error
0.636397
root_relative_squared_error
0.537693
root_relative_squared_error
0.571844
root_relative_squared_error
0.595912
root_relative_squared_error
0.504817
root_relative_squared_error
0.499859
root_relative_squared_error
0.61904
root_relative_squared_error
0.62184
root_relative_squared_error
0.638733
root_relative_squared_error
0.579565
root_relative_squared_error
0.57867
root_relative_squared_error
0.682907
root_relative_squared_error
0.584473
root_relative_squared_error
0.620603
root_relative_squared_error
0.536855
root_relative_squared_error
0.58765
root_relative_squared_error
0.560786
root_relative_squared_error
0.57561
root_relative_squared_error
0.657421
root_relative_squared_error
0.643585
root_relative_squared_error
0.532043
root_relative_squared_error
0.543873
root_relative_squared_error
0.63102
root_relative_squared_error
0.566561
root_relative_squared_error
0.522125
root_relative_squared_error
0.525168
root_relative_squared_error
0.582518
root_relative_squared_error
0.561554
root_relative_squared_error
0.580921
root_relative_squared_error
0.61138
root_relative_squared_error
0.661735
root_relative_squared_error
0.635191
root_relative_squared_error
0.600911
root_relative_squared_error
0.623119
root_relative_squared_error
0.629255
root_relative_squared_error
0.653172
root_relative_squared_error
0.602756
root_relative_squared_error
0.605183
root_relative_squared_error
0.528054
root_relative_squared_error
0.575602
root_relative_squared_error
0.557293
root_relative_squared_error
0.525693
root_relative_squared_error
0.585278
root_relative_squared_error
0.585096
root_relative_squared_error
0.526753
root_relative_squared_error
0.553121
root_relative_squared_error
0.52809
root_relative_squared_error
0.510516
root_relative_squared_error
0.518872
root_relative_squared_error
0.481596
root_relative_squared_error
0.581553
root_relative_squared_error
0.608454
root_relative_squared_error
0.601521
root_relative_squared_error
0.562999
root_relative_squared_error
0.594787
root_relative_squared_error
0.636824
root_relative_squared_error
0.610611
root_relative_squared_error
0.583606
root_relative_squared_error
0.601583
root_relative_squared_error
0.560463
root_relative_squared_error
0.569641
root_relative_squared_error
0.512043
root_relative_squared_error
0.615771
root_relative_squared_error
0.571826
root_relative_squared_error
0.600069
root_relative_squared_error
0.522826
root_relative_squared_error
0.586703
root_relative_squared_error
0.592485
root_relative_squared_error
0.607072
root_relative_squared_error
0.574413
root_relative_squared_error
0.622811
root_relative_squared_error
0.542361
root_relative_squared_error
0.482416
root_relative_squared_error
0.582495
root_relative_squared_error
0.561542
root_relative_squared_error
0.504401
root_relative_squared_error
0.548885
root_relative_squared_error
0.665745
root_relative_squared_error
0.53698
root_relative_squared_error
0.576136
root_relative_squared_error
0.581037
root_relative_squared_error
0.500664
root_relative_squared_error
0.590559
root_relative_squared_error
0.549705
root_relative_squared_error
0.596213
root_relative_squared_error
0.55637
root_relative_squared_error
0.614978
root_relative_squared_error
0.616948
root_relative_squared_error
0.510091
root_relative_squared_error
0.577549
root_relative_squared_error
0.572636
root_relative_squared_error
0.629096
root_relative_squared_error
0.551396
root_relative_squared_error
0.569673
root_relative_squared_error
0.647738
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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0
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0
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