359483
2
Joaquin Vanschoren
1901
Supervised Classification
predictive_accuracy
1168
weka.BayesNet_K2(6)
1921
weka.classifiers.bayes.BayesNet -- -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
D
true
1168
Q
weka.classifiers.bayes.net.search.local.K2
1168
P
1
1169
S
BAYES
1169
weka
weka_3.7.12
21
car
https://www.openml.org/data/download/21/dataset_21_car.arff
-1
1242425
description
https://api.openml.org/data/download/1242425/weka_generated_run7545978742418688712.xml
-1
1242428
model_readable
https://api.openml.org/data/download/1242428/WekaModel_weka.classifiers.bayes.BayesNet8220573810227775950.model
-1
1242427
model_serialized
https://api.openml.org/data/download/1242427/WekaSerialized_weka.classifiers.bayes.BayesNet8297655219197315315.model
-1
1242426
predictions
https://api.openml.org/data/download/1242426/weka_generated_predictions1923953529690407505.arff
area_under_roc_curve
0.97456 [0.980825,0.949725,0.980864,0.997962]
average_cost
0
f_measure
0.850915 [0.939022,0.695784,0.386139,0.620619]
kappa
0.675485
kb_relative_information_score
10177.375665
mean_absolute_error
0.11154
mean_prior_absolute_error
0.22898
number_of_instances
17280 [12100,3840,690,650]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
precision
0.855126 [0.921071,0.677014,0.609375,0.940625]
predictive_accuracy
0.858333
prior_entropy
1.209911
recall
0.858333 [0.957686,0.715625,0.282609,0.463077]
relative_absolute_error
0.487115
root_mean_prior_squared_error
0.338114
root_mean_squared_error
0.225742
root_relative_squared_error
0.667649
scimark_benchmark
1324.644187 [804.9102886377058, 957.7311908374301, 526.3440412149175, 1075.6833063112542, 3258.552110048288]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
0
area_under_roc_curve
0.967968 [0.976478,0.934749,0.978485,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.979534 [0.988239,0.949101,0.982788,0.998004]
area_under_roc_curve
0.98482 [0.990305,0.965365,0.987091,0.998004]
area_under_roc_curve
0.968444 [0.976478,0.936089,0.982788,1]
area_under_roc_curve
0.971308 [0.98061,0.93628,0.981928,0.999002]
area_under_roc_curve
0.986705 [0.993166,0.966705,0.977625,0.997006]
area_under_roc_curve
0.97291 [0.97616,0.955033,0.993115,1]
area_under_roc_curve
0.971386 [0.979975,0.940299,0.973322,0.998004]
area_under_roc_curve
0.978019 [0.983471,0.957329,0.981928,0.998004]
area_under_roc_curve
0.977379 [0.981882,0.956946,0.995697,0.998004]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.965869 [0.974253,0.931879,0.981067,1]
area_under_roc_curve
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area_under_roc_curve
0.964621 [0.967578,0.949675,0.969019,0.997006]
area_under_roc_curve
0.97876 [0.986173,0.95331,0.980207,0.993014]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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0.831162 [0.935484,0.649351,0,0.727273]
f_measure
0.803045 [0.91498,0.6,0.25,0.444444]
f_measure
0.864151 [0.947368,0.72973,0.181818,0.833333]
f_measure
0.860391 [0.946058,0.738095,0.4,0.444444]
f_measure
0.842785 [0.955102,0.716049,0.363636,0]
f_measure
0.884176 [0.95122,0.769231,0.25,1]
f_measure
0.870236 [0.97561,0.765432,0.363636,0]
f_measure
0.856136 [0.938776,0.725,0.25,0.727273]
f_measure
0.802691 [0.921811,0.619048,0,0.5]
f_measure
0.881012 [0.946939,0.736842,0.5,0.909091]
f_measure
0.878892 [0.936709,0.758621,0.6,0.8]
f_measure
0.886412 [0.959677,0.769231,0.444444,0.666667]
f_measure
0.855041 [0.927419,0.701299,0.6,0.666667]
f_measure
0.829973 [0.931174,0.666667,0.25,0.5]
f_measure
0.861646 [0.95122,0.725,0.222222,0.666667]
f_measure
0.873691 [0.946502,0.740741,0.4,0.8]
f_measure
0.86587 [0.946939,0.725,0.4,0.666667]
f_measure
0.808533 [0.92549,0.583333,0.222222,0.5]
f_measure
0.826704 [0.936508,0.64,0.222222,0.5]
f_measure
0.821003 [0.91498,0.605263,0.5,0.666667]
kappa
0.570253
kappa
0.643129
kappa
0.651291
kappa
0.716393
kappa
0.69612
kappa
0.670124
kappa
0.694002
kappa
0.732736
kappa
0.634536
kappa
0.691479
kappa
0.732736
kappa
0.679655
kappa
0.652275
kappa
0.659475
kappa
0.681644
kappa
0.803275
kappa
0.654994
kappa
0.62681
kappa
0.633216
kappa
0.636907
kappa
0.663372
kappa
0.69137
kappa
0.665278
kappa
0.721502
kappa
0.623942
kappa
0.623489
kappa
0.666914
kappa
0.680959
kappa
0.671831
kappa
0.615909
kappa
0.747697
kappa
0.650714
kappa
0.649824
kappa
0.658181
kappa
0.666795
kappa
0.641024
kappa
0.724606
kappa
0.72471
kappa
0.778456
kappa
0.682188
kappa
0.697552
kappa
0.63609
kappa
0.643469
kappa
0.588467
kappa
0.785407
kappa
0.648268
kappa
0.569425
kappa
0.674322
kappa
0.743666
kappa
0.742674
kappa
0.617432
kappa
0.644385
kappa
0.717593
kappa
0.582492
kappa
0.645223
kappa
0.647179
kappa
0.707005
kappa
0.70931
kappa
0.672062
kappa
0.631803
kappa
0.61312
kappa
0.774151
kappa
0.691718
kappa
0.738434
kappa
0.659706
kappa
0.715843
kappa
0.699675
kappa
0.662869
kappa
0.644656
kappa
0.747353
kappa
0.720753
kappa
0.684642
kappa
0.706108
kappa
0.679085
kappa
0.559025
kappa
0.632176
kappa
0.683392
kappa
0.692171
kappa
0.632176
kappa
0.709776
kappa
0.634187
kappa
0.567159
kappa
0.706803
kappa
0.702041
kappa
0.680396
kappa
0.759926
kappa
0.744628
kappa
0.694447
kappa
0.578173
kappa
0.736822
kappa
0.73521
kappa
0.755547
kappa
0.674858
kappa
0.633898
kappa
0.705089
kappa
0.725177
kappa
0.707686
kappa
0.571891
kappa
0.62247
kappa
0.598162
kb_relative_information_score
103.181129
kb_relative_information_score
104.503984
kb_relative_information_score
102.8575
kb_relative_information_score
104.904115
kb_relative_information_score
99.52079
kb_relative_information_score
98.733443
kb_relative_information_score
105.748427
kb_relative_information_score
105.782243
kb_relative_information_score
103.002692
kb_relative_information_score
105.661934
kb_relative_information_score
107.993748
kb_relative_information_score
106.146808
kb_relative_information_score
107.186179
kb_relative_information_score
94.827694
kb_relative_information_score
101.140189
kb_relative_information_score
106.798664
kb_relative_information_score
102.558753
kb_relative_information_score
95.360162
kb_relative_information_score
104.599257
kb_relative_information_score
105.870141
kb_relative_information_score
101.57361
kb_relative_information_score
102.031885
kb_relative_information_score
97.222341
kb_relative_information_score
106.608812
kb_relative_information_score
102.352249
kb_relative_information_score
102.722262
kb_relative_information_score
94.936194
kb_relative_information_score
99.513444
kb_relative_information_score
104.668841
kb_relative_information_score
92.486303
kb_relative_information_score
103.195043
kb_relative_information_score
98.818104
kb_relative_information_score
98.817763
kb_relative_information_score
97.067171
kb_relative_information_score
105.670283
kb_relative_information_score
98.341485
kb_relative_information_score
109.395922
kb_relative_information_score
108.549477
kb_relative_information_score
103.471288
kb_relative_information_score
107.417091
kb_relative_information_score
100.320828
kb_relative_information_score
93.760196
kb_relative_information_score
102.066928
kb_relative_information_score
103.32466
kb_relative_information_score
104.859874
kb_relative_information_score
93.535997
kb_relative_information_score
97.389582
kb_relative_information_score
104.763414
kb_relative_information_score
106.689785
kb_relative_information_score
100.657483
kb_relative_information_score
102.327509
kb_relative_information_score
103.959163
kb_relative_information_score
99.531071
kb_relative_information_score
96.181734
kb_relative_information_score
99.924277
kb_relative_information_score
104.273187
kb_relative_information_score
106.081291
kb_relative_information_score
107.9107
kb_relative_information_score
98.031439
kb_relative_information_score
100.364028
kb_relative_information_score
103.886558
kb_relative_information_score
103.594669
kb_relative_information_score
106.45349
kb_relative_information_score
107.550695
kb_relative_information_score
104.698456
kb_relative_information_score
99.823139
kb_relative_information_score
103.785642
kb_relative_information_score
103.85334
kb_relative_information_score
100.057713
kb_relative_information_score
98.508091
kb_relative_information_score
108.085353
kb_relative_information_score
103.983436
kb_relative_information_score
96.214492
kb_relative_information_score
101.406978
kb_relative_information_score
95.650941
kb_relative_information_score
103.841742
kb_relative_information_score
101.629776
kb_relative_information_score
97.993206
kb_relative_information_score
101.056478
kb_relative_information_score
105.329859
kb_relative_information_score
91.489437
kb_relative_information_score
96.539031
kb_relative_information_score
103.031124
kb_relative_information_score
101.667803
kb_relative_information_score
100.913424
kb_relative_information_score
106.665429
kb_relative_information_score
95.774631
kb_relative_information_score
98.412084
kb_relative_information_score
97.29398
kb_relative_information_score
105.194622
kb_relative_information_score
94.92724
kb_relative_information_score
102.375274
kb_relative_information_score
105.136785
kb_relative_information_score
101.75151
kb_relative_information_score
101.930018
kb_relative_information_score
102.452982
kb_relative_information_score
105.037879
kb_relative_information_score
98.929656
kb_relative_information_score
97.723821
kb_relative_information_score
95.534312
mean_absolute_error
0.108319
mean_absolute_error
0.104516
mean_absolute_error
0.108993
mean_absolute_error
0.105618
mean_absolute_error
0.112796
mean_absolute_error
0.115773
mean_absolute_error
0.107674
mean_absolute_error
0.105774
mean_absolute_error
0.109767
mean_absolute_error
0.105942
mean_absolute_error
0.102476
mean_absolute_error
0.103287
mean_absolute_error
0.103674
mean_absolute_error
0.121699
mean_absolute_error
0.113275
mean_absolute_error
0.103593
mean_absolute_error
0.111382
mean_absolute_error
0.119359
mean_absolute_error
0.106452
mean_absolute_error
0.106614
mean_absolute_error
0.112384
mean_absolute_error
0.111407
mean_absolute_error
0.118469
mean_absolute_error
0.104801
mean_absolute_error
0.10935
mean_absolute_error
0.108113
mean_absolute_error
0.119396
mean_absolute_error
0.112977
mean_absolute_error
0.106868
mean_absolute_error
0.120733
mean_absolute_error
0.109562
mean_absolute_error
0.114817
mean_absolute_error
0.114833
mean_absolute_error
0.11722
mean_absolute_error
0.10421
mean_absolute_error
0.115572
mean_absolute_error
0.100394
mean_absolute_error
0.105444
mean_absolute_error
0.109679
mean_absolute_error
0.103349
mean_absolute_error
0.114844
mean_absolute_error
0.124764
mean_absolute_error
0.113154
mean_absolute_error
0.109843
mean_absolute_error
0.110956
mean_absolute_error
0.125144
mean_absolute_error
0.119211
mean_absolute_error
0.108992
mean_absolute_error
0.106392
mean_absolute_error
0.116518
mean_absolute_error
0.112282
mean_absolute_error
0.110027
mean_absolute_error
0.117511
mean_absolute_error
0.120703
mean_absolute_error
0.117958
mean_absolute_error
0.110216
mean_absolute_error
0.105623
mean_absolute_error
0.106002
mean_absolute_error
0.119866
mean_absolute_error
0.113386
mean_absolute_error
0.108515
mean_absolute_error
0.113478
mean_absolute_error
0.106781
mean_absolute_error
0.10688
mean_absolute_error
0.108221
mean_absolute_error
0.116189
mean_absolute_error
0.110965
mean_absolute_error
0.111957
mean_absolute_error
0.115952
mean_absolute_error
0.118822
mean_absolute_error
0.105847
mean_absolute_error
0.110584
mean_absolute_error
0.121912
mean_absolute_error
0.113202
mean_absolute_error
0.121077
mean_absolute_error
0.111846
mean_absolute_error
0.114829
mean_absolute_error
0.117646
mean_absolute_error
0.114722
mean_absolute_error
0.108243
mean_absolute_error
0.122395
mean_absolute_error
0.116485
mean_absolute_error
0.105409
mean_absolute_error
0.109665
mean_absolute_error
0.110496
mean_absolute_error
0.101144
mean_absolute_error
0.117266
mean_absolute_error
0.114835
mean_absolute_error
0.112723
mean_absolute_error
0.103487
mean_absolute_error
0.119979
mean_absolute_error
0.108164
mean_absolute_error
0.103988
mean_absolute_error
0.106905
mean_absolute_error
0.108525
mean_absolute_error
0.108607
mean_absolute_error
0.104634
mean_absolute_error
0.10919
mean_absolute_error
0.113917
mean_absolute_error
0.118437
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228951
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.228958
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.229483
mean_prior_absolute_error
0.228028
mean_prior_absolute_error
0.228028
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228028
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.227493
mean_prior_absolute_error
0.228021
mean_prior_absolute_error
0.228021
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,7,6]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,39,6,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
173 [121,38,7,7]
number_of_instances
172 [121,38,6,7]
number_of_instances
172 [121,38,6,7]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,6,7]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,39,6,6]
number_of_instances
172 [121,38,7,6]
number_of_instances
172 [121,38,7,6]
precision
0.80532 [0.882812,0.589744,0.5,1]
precision
0.817016 [0.900763,0.675676,0,1]
precision
0.81776 [0.92126,0.666667,0,0.666667]
precision
0.8693 [0.943089,0.725,0.5,0.75]
precision
0.856569 [0.913386,0.722222,0.5,1]
precision
0.841215 [0.920635,0.692308,0.333333,0.8]
precision
0.873667 [0.902256,0.742857,1,1]
precision
0.880407 [0.921875,0.756757,0.75,1]
precision
0.837642 [0.892308,0.685714,0.6,1]
precision
0.86717 [0.929134,0.690476,0.666667,1]
precision
0.880407 [0.921875,0.756757,0.75,1]
precision
0.855556 [0.902985,0.75,0.5,1]
precision
0.84848 [0.894737,0.714286,0.666667,1]
precision
0.851468 [0.919355,0.651163,0.666667,1]
precision
0.854524 [0.90625,0.735294,0.714286,0.75]
precision
0.913249 [0.952,0.8,0.8,1]
precision
0.852456 [0.879699,0.71875,1,1]
precision
0.820146 [0.920635,0.627907,0,1]
precision
0.850614 [0.899225,0.65,1,1]
precision
0.848174 [0.880597,0.69697,1,1]
precision
0.861163 [0.90625,0.675,1,1]
precision
0.860285 [0.918699,0.692308,0.666667,1]
precision
0.849532 [0.92623,0.651163,0.5,1]
precision
0.876072 [0.928571,0.731707,0.666667,1]
precision
0.828772 [0.898438,0.666667,0.666667,0.666667]
precision
0.831001 [0.894737,0.666667,0.5,1]
precision
0.845132 [0.92623,0.682927,0.5,0.666667]
precision
0.831131 [0.928571,0.690476,0,0.75]
precision
0.851223 [0.915385,0.692308,0.5,1]
precision
0.83112 [0.912,0.613636,0.5,1]
precision
0.886927 [0.929134,0.763158,0.75,1]
precision
0.849029 [0.918033,0.644444,0.666667,1]
precision
0.830409 [0.92623,0.630435,0,1]
precision
0.843948 [0.92,0.658537,0.333333,1]
precision
0.850862 [0.920635,0.674419,0.5,1]
precision
0.841086 [0.912698,0.642857,0.5,1]
precision
0.878977 [0.928,0.725,0.75,1]
precision
0.882856 [0.936,0.707317,0.8,1]
precision
0.904095 [0.943548,0.780488,0.8,1]
precision
0.868497 [0.901515,0.722222,1,1]
precision
0.848428 [0.943548,0.673913,0,1]
precision
0.836014 [0.91129,0.634146,0.666667,0.8]
precision
0.843868 [0.901515,0.676471,0.6,1]
precision
0.824354 [0.882353,0.636364,0.666667,1]
precision
0.908839 [0.95,0.744186,1,1]
precision
0.844916 [0.919355,0.642857,0.5,1]
precision
0.810171 [0.896,0.589744,0.333333,1]
precision
0.850146 [0.919355,0.666667,0.5,1]
precision
0.884016 [0.958678,0.695652,0.5,1]
precision
0.887217 [0.95082,0.704545,0.666667,1]
precision
0.822851 [0.912698,0.625,0.5,0.666667]
precision
0.848827 [0.92,0.627907,0.666667,1]
precision
0.873231 [0.942623,0.697674,0.5,1]
precision
0.807589 [0.908333,0.590909,0.25,0.8]
precision
0.846516 [0.912,0.642857,0.666667,1]
precision
0.814366 [0.934959,0.638298,0.5,0]
precision
0.84524 [0.936508,0.681818,0,1]
precision
0.872074 [0.92126,0.72973,0.666667,1]
precision
0.875041 [0.940678,0.62,1,1]
precision
0.822822 [0.927419,0.608696,0,1]
precision
0.830195 [0.92623,0.6,0.25,1]
precision
0.897299 [0.966387,0.75,0.6,0.8]
precision
0.838457 [0.929134,0.674419,1,0]
precision
0.88674 [0.936,0.725,0.8,1]
precision
0.848027 [0.935484,0.636364,0.333333,1]
precision
0.87872 [0.943089,0.690476,0.666667,1]
precision
0.877721 [0.927419,0.674419,1,1]
precision
0.84413 [0.927419,0.675,0.5,0.666667]
precision
0.843905 [0.912698,0.641026,0.6,1]
precision
0.89083 [0.966387,0.702128,0.5,1]
precision
0.870213 [0.921875,0.75,0.666667,0.833333]
precision
0.862936 [0.928,0.666667,0.666667,1]
precision
0.868642 [0.92623,0.682927,0.75,1]
precision
0.831247 [0.92126,0.666667,0,1]
precision
0.803468 [0.878788,0.583333,0.5,1]
precision
0.839827 [0.89313,0.657143,0.75,1]
precision
0.858423 [0.928571,0.675,0.5,1]
precision
0.885954 [0.95,0.64,1,1]
precision
0.835051 [0.900763,0.657143,0.5,1]
precision
0.861469 [0.936508,0.725,0.5,0.666667]
precision
0.824876 [0.913386,0.641026,0,1]
precision
0.815292 [0.896825,0.571429,0.5,1]
precision
0.858181 [0.928571,0.75,0.25,0.833333]
precision
0.867589 [0.95,0.673913,0.666667,0.666667]
precision
0.826728 [0.943548,0.674419,0.4,0]
precision
0.899744 [0.936,0.75,1,1]
precision
0.854973 [0.96,0.72093,0.5,0]
precision
0.87358 [0.927419,0.690476,1,0.8]
precision
0.805583 [0.918033,0.565217,0,1]
precision
0.880195 [0.935484,0.736842,0.6,1]
precision
0.897537 [0.956897,0.673469,1,1]
precision
0.900453 [0.937008,0.75,1,1]
precision
0.86555 [0.905512,0.692308,1,1]
precision
0.856378 [0.912698,0.627907,1,1]
precision
0.866245 [0.936,0.690476,0.5,1]
precision
0.879277 [0.942623,0.697674,0.666667,1]
precision
0.872665 [0.935484,0.690476,0.666667,1]
precision
0.810293 [0.880597,0.636364,0.333333,1]
precision
0.832215 [0.900763,0.648649,0.5,1]
precision
0.823929 [0.896825,0.605263,0.6,1]
predictive_accuracy
0.815029
predictive_accuracy
0.849711
predictive_accuracy
0.849711
predictive_accuracy
0.872832
predictive_accuracy
0.867052
predictive_accuracy
0.855491
predictive_accuracy
0.872832
predictive_accuracy
0.884393
predictive_accuracy
0.843931
predictive_accuracy
0.867052
predictive_accuracy
0.884393
predictive_accuracy
0.867052
predictive_accuracy
0.855491
predictive_accuracy
0.849711
predictive_accuracy
0.861272
predictive_accuracy
0.913295
predictive_accuracy
0.855491
predictive_accuracy
0.83815
predictive_accuracy
0.843931
predictive_accuracy
0.849711
predictive_accuracy
0.855491
predictive_accuracy
0.861272
predictive_accuracy
0.849711
predictive_accuracy
0.878613
predictive_accuracy
0.83815
predictive_accuracy
0.843931
predictive_accuracy
0.849711
predictive_accuracy
0.861272
predictive_accuracy
0.861272
predictive_accuracy
0.83237
predictive_accuracy
0.890173
predictive_accuracy
0.843931
predictive_accuracy
0.843931
predictive_accuracy
0.849711
predictive_accuracy
0.855491
predictive_accuracy
0.843931
predictive_accuracy
0.878613
predictive_accuracy
0.878613
predictive_accuracy
0.901734
predictive_accuracy
0.867052
predictive_accuracy
0.867052
predictive_accuracy
0.83815
predictive_accuracy
0.849711
predictive_accuracy
0.83237
predictive_accuracy
0.901734
predictive_accuracy
0.843931
predictive_accuracy
0.809249
predictive_accuracy
0.855491
predictive_accuracy
0.884393
predictive_accuracy
0.884393
predictive_accuracy
0.83237
predictive_accuracy
0.843931
predictive_accuracy
0.872832
predictive_accuracy
0.809249
predictive_accuracy
0.843931
predictive_accuracy
0.843931
predictive_accuracy
0.872832
predictive_accuracy
0.872832
predictive_accuracy
0.849711
predictive_accuracy
0.83815
predictive_accuracy
0.82659
predictive_accuracy
0.895954
predictive_accuracy
0.867052
predictive_accuracy
0.884393
predictive_accuracy
0.849711
predictive_accuracy
0.872832
predictive_accuracy
0.867052
predictive_accuracy
0.849711
predictive_accuracy
0.843931
predictive_accuracy
0.884393
predictive_accuracy
0.878613
predictive_accuracy
0.861272
predictive_accuracy
0.867052
predictive_accuracy
0.861272
predictive_accuracy
0.815029
predictive_accuracy
0.843931
predictive_accuracy
0.861272
predictive_accuracy
0.861272
predictive_accuracy
0.843931
predictive_accuracy
0.872832
predictive_accuracy
0.843023
predictive_accuracy
0.813953
predictive_accuracy
0.872093
predictive_accuracy
0.866279
predictive_accuracy
0.860465
predictive_accuracy
0.895349
predictive_accuracy
0.889535
predictive_accuracy
0.866279
predictive_accuracy
0.813953
predictive_accuracy
0.883721
predictive_accuracy
0.877907
predictive_accuracy
0.895349
predictive_accuracy
0.860465
predictive_accuracy
0.843023
predictive_accuracy
0.872093
predictive_accuracy
0.877907
predictive_accuracy
0.872093
predictive_accuracy
0.825581
predictive_accuracy
0.843023
predictive_accuracy
0.825581
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
prior_entropy
1.209911
recall
0.815029 [0.933884,0.589744,0.142857,0.666667]
recall
0.849711 [0.975207,0.641026,0,0.666667]
recall
0.849711 [0.966942,0.717949,0,0.333333]
recall
0.872832 [0.958678,0.74359,0.428571,0.5]
recall
0.867052 [0.958678,0.666667,0.285714,1]
recall
0.855491 [0.958678,0.692308,0.142857,0.666667]
recall
0.872832 [0.991736,0.666667,0.428571,0.333333]
recall
0.884393 [0.975207,0.717949,0.428571,0.666667]
recall
0.843931 [0.958678,0.615385,0.428571,0.5]
recall
0.867052 [0.975207,0.74359,0.285714,0.166667]
recall
0.884393 [0.975207,0.717949,0.428571,0.666667]
recall
0.867052 [1,0.615385,0.285714,0.5]
recall
0.855491 [0.983471,0.641026,0.285714,0.333333]
recall
0.849711 [0.942149,0.717949,0.285714,0.5]
recall
0.861272 [0.958678,0.641026,0.714286,0.5]
recall
0.913295 [0.983471,0.820513,0.571429,0.5]
recall
0.855491 [0.966942,0.589744,0.571429,0.666667]
recall
0.83815 [0.958678,0.692308,0,0.333333]
recall
0.843931 [0.958678,0.666667,0.142857,0.5]
recall
0.849711 [0.975207,0.589744,0.571429,0.333333]
recall
0.855491 [0.958678,0.692308,0.428571,0.333333]
recall
0.861272 [0.933884,0.692308,0.571429,0.833333]
recall
0.849711 [0.933884,0.717949,0.285714,0.666667]
recall
0.878613 [0.966942,0.769231,0.285714,0.5]
recall
0.83815 [0.950413,0.666667,0.285714,0.333333]
recall
0.843931 [0.983471,0.615385,0.142857,0.333333]
recall
0.849711 [0.933884,0.717949,0.285714,0.666667]
recall
0.861272 [0.966942,0.74359,0,0.5]
recall
0.861272 [0.983471,0.692308,0.142857,0.333333]
recall
0.83237 [0.942149,0.692308,0.142857,0.333333]
recall
0.890173 [0.975207,0.74359,0.428571,0.666667]
recall
0.843931 [0.92562,0.74359,0.285714,0.5]
recall
0.843931 [0.933884,0.74359,0,0.571429]
recall
0.849711 [0.950413,0.692308,0.166667,0.571429]
recall
0.855491 [0.958678,0.74359,0.142857,0.333333]
recall
0.843931 [0.950413,0.692308,0.166667,0.428571]
recall
0.878613 [0.958678,0.74359,0.5,0.571429]
recall
0.878613 [0.966942,0.763158,0.571429,0.285714]
recall
0.901734 [0.966942,0.820513,0.666667,0.428571]
recall
0.867052 [0.983471,0.666667,0.333333,0.428571]
recall
0.867052 [0.966942,0.815789,0,0.285714]
recall
0.83815 [0.933884,0.684211,0.285714,0.571429]
recall
0.849711 [0.983471,0.605263,0.428571,0.285714]
recall
0.83237 [0.991736,0.552632,0.285714,0.142857]
recall
0.901734 [0.942149,0.842105,0.571429,0.857143]
recall
0.843931 [0.942149,0.710526,0.285714,0.428571]
recall
0.809249 [0.92562,0.605263,0.285714,0.428571]
recall
0.855491 [0.942149,0.736842,0.142857,0.714286]
recall
0.884393 [0.958678,0.842105,0.142857,0.571429]
recall
0.884393 [0.958678,0.815789,0.285714,0.571429]
recall
0.83237 [0.950413,0.657895,0.285714,0.285714]
recall
0.843931 [0.950413,0.710526,0.285714,0.285714]
recall
0.872832 [0.950413,0.789474,0.285714,0.571429]
recall
0.809249 [0.900826,0.684211,0.142857,0.571429]
recall
0.843931 [0.942149,0.710526,0.285714,0.428571]
recall
0.843931 [0.950413,0.789474,0.142857,0]
recall
0.872832 [0.975207,0.789474,0,0.428571]
recall
0.872832 [0.966942,0.710526,0.571429,0.428571]
recall
0.849711 [0.917355,0.815789,0.285714,0.428571]
recall
0.83815 [0.950413,0.736842,0,0.285714]
recall
0.82659 [0.933884,0.710526,0.142857,0.285714]
recall
0.895954 [0.950413,0.868421,0.428571,0.571429]
recall
0.867052 [0.975207,0.763158,0.428571,0]
recall
0.884393 [0.966942,0.763158,0.571429,0.428571]
recall
0.849711 [0.958678,0.736842,0.142857,0.285714]
recall
0.872832 [0.958678,0.763158,0.571429,0.285714]
recall
0.867052 [0.950413,0.763158,0.285714,0.571429]
recall
0.849711 [0.950413,0.710526,0.428571,0.285714]
recall
0.843931 [0.950413,0.657895,0.428571,0.428571]
recall
0.884393 [0.950413,0.868421,0.285714,0.428571]
recall
0.878613 [0.975207,0.710526,0.285714,0.714286]
recall
0.861272 [0.958678,0.736842,0.285714,0.428571]
recall
0.867052 [0.933884,0.736842,0.428571,0.857143]
recall
0.861272 [0.966942,0.736842,0,0.571429]
recall
0.815029 [0.958678,0.552632,0.142857,0.428571]
recall
0.843931 [0.966942,0.605263,0.428571,0.428571]
recall
0.861272 [0.966942,0.710526,0.285714,0.428571]
recall
0.861272 [0.942149,0.842105,0.142857,0.285714]
recall
0.843931 [0.975207,0.605263,0.285714,0.428571]
recall
0.872832 [0.975207,0.763158,0.285714,0.285714]
recall
0.843023 [0.958678,0.657895,0,0.571429]
recall
0.813953 [0.933884,0.631579,0.166667,0.285714]
recall
0.872093 [0.966942,0.710526,0.142857,0.833333]
recall
0.866279 [0.942149,0.815789,0.285714,0.333333]
recall
0.860465 [0.966942,0.763158,0.333333,0]
recall
0.895349 [0.966942,0.789474,0.142857,1]
recall
0.889535 [0.991736,0.815789,0.285714,0]
recall
0.866279 [0.950413,0.763158,0.142857,0.666667]
recall
0.813953 [0.92562,0.684211,0,0.333333]
recall
0.883721 [0.958678,0.736842,0.428571,0.833333]
recall
0.877907 [0.917355,0.868421,0.428571,0.666667]
recall
0.895349 [0.983471,0.789474,0.285714,0.5]
recall
0.860465 [0.950413,0.710526,0.428571,0.5]
recall
0.843023 [0.950413,0.710526,0.142857,0.333333]
recall
0.872093 [0.966942,0.763158,0.142857,0.5]
recall
0.877907 [0.950413,0.789474,0.285714,0.666667]
recall
0.872093 [0.958678,0.763158,0.285714,0.5]
recall
0.825581 [0.975207,0.538462,0.166667,0.333333]
recall
0.843023 [0.975207,0.631579,0.142857,0.333333]
recall
0.825581 [0.933884,0.605263,0.428571,0.5]
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.461313
relative_absolute_error
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relative_absolute_error
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0.452821
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0.452469
relative_absolute_error
0.486488
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0.521329
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0.465663
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.514017
relative_absolute_error
0.480278
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0.460263
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relative_absolute_error
0.522328
relative_absolute_error
0.494091
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0.472866
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0.494494
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0.465309
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0.465742
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0.471585
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0.506307
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0.487867
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0.51778
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0.481882
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0.527608
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0.48738
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relative_absolute_error
0.474359
relative_absolute_error
0.456043
relative_absolute_error
0.468836
relative_absolute_error
0.475942
relative_absolute_error
0.4763
relative_absolute_error
0.458876
relative_absolute_error
0.479971
relative_absolute_error
0.499587
relative_absolute_error
0.519413
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338082
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
0.338858
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.335908
root_mean_prior_squared_error
0.336694
root_mean_prior_squared_error
0.336694
root_mean_squared_error
0.225612
root_mean_squared_error
0.220402
root_mean_squared_error
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0.218938
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0.224913
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0.218941
root_mean_squared_error
0.213907
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0.229079
root_mean_squared_error
0.231322
root_mean_squared_error
0.231963
root_mean_squared_error
0.219572
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.230668
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0.239607
root_mean_squared_error
0.229448
root_mean_squared_error
0.228527
root_mean_squared_error
0.22115
root_mean_squared_error
0.239598
root_mean_squared_error
0.236854
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0.224286
root_mean_squared_error
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root_mean_squared_error
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0.224736
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0.217368
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0.229969
root_mean_squared_error
0.226096
root_mean_squared_error
0.224188
root_mean_squared_error
0.229455
root_mean_squared_error
0.229609
root_mean_squared_error
0.218869
root_mean_squared_error
0.224471
root_mean_squared_error
0.235844
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.227523
root_mean_squared_error
0.232874
root_mean_squared_error
0.229919
root_mean_squared_error
0.221472
root_mean_squared_error
0.238711
root_mean_squared_error
0.231573
root_mean_squared_error
0.221151
root_mean_squared_error
0.222247
root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.229373
root_mean_squared_error
0.225859
root_mean_squared_error
0.231502
root_mean_squared_error
0.216749
root_mean_squared_error
0.230581
root_mean_squared_error
0.221739
root_mean_squared_error
0.219014
root_mean_squared_error
0.224394
root_mean_squared_error
0.223116
root_mean_squared_error
0.221618
root_mean_squared_error
0.215412
root_mean_squared_error
0.225696
root_mean_squared_error
0.230464
root_mean_squared_error
0.232691
root_relative_squared_error
0.667349
root_relative_squared_error
0.651937
root_relative_squared_error
0.655187
root_relative_squared_error
0.646776
root_relative_squared_error
0.672473
root_relative_squared_error
0.678818
root_relative_squared_error
0.648611
root_relative_squared_error
0.647606
root_relative_squared_error
0.665281
root_relative_squared_error
0.647616
root_relative_squared_error
0.632727
root_relative_squared_error
0.652045
root_relative_squared_error
0.641964
root_relative_squared_error
0.693977
root_relative_squared_error
0.669715
root_relative_squared_error
0.636523
root_relative_squared_error
0.66527
root_relative_squared_error
0.692275
root_relative_squared_error
0.652258
root_relative_squared_error
0.653226
root_relative_squared_error
0.67015
root_relative_squared_error
0.666778
root_relative_squared_error
0.683063
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0.64209
root_relative_squared_error
0.670253
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0.66229
root_relative_squared_error
0.693146
root_relative_squared_error
0.679177
root_relative_squared_error
0.647358
root_relative_squared_error
0.707131
root_relative_squared_error
0.653924
root_relative_squared_error
0.677605
root_relative_squared_error
0.684221
root_relative_squared_error
0.686115
root_relative_squared_error
0.649482
root_relative_squared_error
0.682792
root_relative_squared_error
0.627599
root_relative_squared_error
0.6415
root_relative_squared_error
0.653299
root_relative_squared_error
0.647274
root_relative_squared_error
0.680721
root_relative_squared_error
0.707101
root_relative_squared_error
0.677122
root_relative_squared_error
0.674403
root_relative_squared_error
0.652632
root_relative_squared_error
0.707074
root_relative_squared_error
0.698978
root_relative_squared_error
0.661888
root_relative_squared_error
0.645922
root_relative_squared_error
0.671944
root_relative_squared_error
0.672054
root_relative_squared_error
0.671048
root_relative_squared_error
0.675947
root_relative_squared_error
0.699987
root_relative_squared_error
0.682557
root_relative_squared_error
0.663215
root_relative_squared_error
0.653882
root_relative_squared_error
0.641473
root_relative_squared_error
0.687424
root_relative_squared_error
0.679976
root_relative_squared_error
0.664779
root_relative_squared_error
0.651623
root_relative_squared_error
0.64927
root_relative_squared_error
0.64013
root_relative_squared_error
0.657424
root_relative_squared_error
0.678658
root_relative_squared_error
0.667228
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0.6616
root_relative_squared_error
0.677142
root_relative_squared_error
0.677597
root_relative_squared_error
0.645902
root_relative_squared_error
0.662433
root_relative_squared_error
0.695997
root_relative_squared_error
0.671752
root_relative_squared_error
0.70709
root_relative_squared_error
0.670202
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0.671441
root_relative_squared_error
0.687233
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0.67851
root_relative_squared_error
0.653584
root_relative_squared_error
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0.687765
root_relative_squared_error
0.65683
root_relative_squared_error
0.660087
root_relative_squared_error
0.659813
root_relative_squared_error
0.640976
root_relative_squared_error
0.681252
root_relative_squared_error
0.670814
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0.687574
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0.650482
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0.666463
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0.662666
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0.658217
root_relative_squared_error
0.639786
root_relative_squared_error
0.671898
root_relative_squared_error
0.684492
root_relative_squared_error
0.691104
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