368941
2
Joaquin Vanschoren
4333
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
762
fri_c2_100_10
https://www.openml.org/data/download/53296/fri_c2_100_10.arff
-1
1279607
description
https://api.openml.org/data/download/1279607/weka_generated_run6273732424260463114.xml
-1
1279610
model_readable
https://api.openml.org/data/download/1279610/WekaModel_weka.classifiers.bayes.BayesNet6844374992204085739.model
-1
1279609
model_serialized
https://api.openml.org/data/download/1279609/WekaSerialized_weka.classifiers.bayes.BayesNet5594435698325329262.model
-1
1279608
predictions
https://api.openml.org/data/download/1279608/weka_generated_predictions7487130945611481443.arff
area_under_roc_curve
0.801745 [0.801745,0.801745]
average_cost
0
f_measure
0.768132 [0.743929,0.787934]
kappa
0.531881
kb_relative_information_score
478.005586
mean_absolute_error
0.265284
mean_prior_absolute_error
0.495098
number_of_instances
1000 [450,550]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.768319 [0.739035,0.792279]
predictive_accuracy
0.768
prior_entropy
0.993055
recall
0.768 [0.748889,0.783636]
relative_absolute_error
0.535822
root_mean_prior_squared_error
0.497495
root_mean_squared_error
0.417046
root_relative_squared_error
0.838293
scimark_benchmark
1286.221091 [806.7718259494214, 832.0185754298774, 527.3781026319954, 1073.0413082631114, 3191.8956416822753]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
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area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.44 [0.44,0.44]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.583333 [0.583333,0.583333]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.729167 [0.729167,0.729167]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.88 [0.88,0.88]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.979167 [0.979167,0.979167]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.46 [0.46,0.46]
area_under_roc_curve
0.833333 [0.833333,0.833333]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.958333 [0.958333,0.958333]
area_under_roc_curve
0.520833 [0.520833,0.520833]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.916667 [0.916667,0.916667]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.458333 [0.458333,0.458333]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.92 [0.92,0.92]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.895833 [0.895833,0.895833]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.895833 [0.895833,0.895833]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.770833 [0.770833,0.770833]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.979167 [0.979167,0.979167]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.854167 [0.854167,0.854167]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
0.875 [0.875,0.875]
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f_measure
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f_measure
0.69697 [0.666667,0.727273]
f_measure
1 [1,1]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.89899 [0.888889,0.909091]
f_measure
1 [1,1]
f_measure
0.8 [0.75,0.833333]
f_measure
0.89899 [0.909091,0.888889]
f_measure
1 [1,1]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
1 [1,1]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.8 [0.75,0.833333]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.52381 [0.714286,0.333333]
f_measure
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f_measure
0.8 [0.75,0.833333]
f_measure
0.8 [0.8,0.8]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.780952 [0.666667,0.857143]
f_measure
0.8 [0.8,0.8]
f_measure
0.6 [0.6,0.6]
f_measure
0.561905 [0.333333,0.714286]
f_measure
0.52381 [0.333333,0.714286]
f_measure
0.69697 [0.727273,0.666667]
f_measure
0.89899 [0.909091,0.888889]
f_measure
0.90101 [0.888889,0.909091]
f_measure
0.583333 [0.666667,0.5]
f_measure
0.6 [0.6,0.6]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.6 [0.6,0.6]
f_measure
0.583333 [0.5,0.666667]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.89899 [0.888889,0.909091]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.67033 [0.571429,0.769231]
f_measure
0.70303 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.8,0.8]
f_measure
0.8 [0.75,0.833333]
f_measure
0.791667 [0.75,0.833333]
f_measure
0.69697 [0.666667,0.727273]
f_measure
0.8 [0.8,0.8]
f_measure
0.505051 [0.444444,0.545455]
f_measure
0.896703 [0.857143,0.923077]
f_measure
1 [1,1]
f_measure
0.791667 [0.833333,0.75]
f_measure
0.90101 [0.888889,0.909091]
f_measure
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f_measure
0.4 [0.4,0.4]
f_measure
0.8 [0.75,0.833333]
f_measure
0.70303 [0.666667,0.727273]
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
0.90101 [0.888889,0.909091]
f_measure
0.70303 [0.666667,0.727273]
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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0.90101 [0.888889,0.909091]
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f_measure
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f_measure
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kappa
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kappa
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kappa
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3.920969
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.73069
kb_relative_information_score
7.575871
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5.62267
kb_relative_information_score
8.255733
kb_relative_information_score
5.223347
kb_relative_information_score
6.450775
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8.246416
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5.08193
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5.546086
kb_relative_information_score
8.268417
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3.740045
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7.627786
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4.251899
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6.560481
kb_relative_information_score
7.190361
kb_relative_information_score
5.966792
kb_relative_information_score
7.307113
kb_relative_information_score
2.515905
kb_relative_information_score
4.660651
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5.216653
kb_relative_information_score
3.927296
kb_relative_information_score
2.705712
kb_relative_information_score
6.017034
kb_relative_information_score
6.400779
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2.582917
kb_relative_information_score
3.207785
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0.361327
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5.166345
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7.815681
kb_relative_information_score
7.575871
kb_relative_information_score
3.7915
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2.644189
kb_relative_information_score
0.385168
kb_relative_information_score
1.128781
kb_relative_information_score
2.069548
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3.404982
kb_relative_information_score
6.700444
kb_relative_information_score
2.942241
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4.557275
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3.261442
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5.553815
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6.225833
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7.944901
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6.95827
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8.054803
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5.197188
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4.323169
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3.72321
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6.816755
kb_relative_information_score
0.35909
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4.738677
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1.880707
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8.268417
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5.09676
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5.518353
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5.768749
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3.744196
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8.998577
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5.760787
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3.118748
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6.386547
kb_relative_information_score
7.00818
kb_relative_information_score
5.769858
kb_relative_information_score
4.47136
kb_relative_information_score
2.705712
kb_relative_information_score
2.25003
kb_relative_information_score
2.641783
kb_relative_information_score
2.970744
kb_relative_information_score
8.663705
kb_relative_information_score
3.425343
kb_relative_information_score
4.535119
kb_relative_information_score
6.95827
kb_relative_information_score
5.829342
kb_relative_information_score
4.560008
kb_relative_information_score
5.312554
kb_relative_information_score
4.683514
kb_relative_information_score
5.381591
kb_relative_information_score
5.440015
kb_relative_information_score
3.472585
kb_relative_information_score
6.214748
mean_absolute_error
0.297905
mean_absolute_error
0.23975
mean_absolute_error
0.147965
mean_absolute_error
0.367557
mean_absolute_error
0.121926
mean_absolute_error
0.234453
mean_absolute_error
0.108242
mean_absolute_error
0.238249
mean_absolute_error
0.195339
mean_absolute_error
0.109556
mean_absolute_error
0.243838
mean_absolute_error
0.235861
mean_absolute_error
0.111162
mean_absolute_error
0.321164
mean_absolute_error
0.307449
mean_absolute_error
0.311631
mean_absolute_error
0.141615
mean_absolute_error
0.282173
mean_absolute_error
0.191183
mean_absolute_error
0.156862
mean_absolute_error
0.200934
mean_absolute_error
0.153466
mean_absolute_error
0.373586
mean_absolute_error
0.279148
mean_absolute_error
0.23864
mean_absolute_error
0.316045
mean_absolute_error
0.368141
mean_absolute_error
0.200802
mean_absolute_error
0.195525
mean_absolute_error
0.372807
mean_absolute_error
0.330535
mean_absolute_error
0.488282
mean_absolute_error
0.247691
mean_absolute_error
0.124965
mean_absolute_error
0.121926
mean_absolute_error
0.308721
mean_absolute_error
0.363315
mean_absolute_error
0.471146
mean_absolute_error
0.448579
mean_absolute_error
0.396236
mean_absolute_error
0.324322
mean_absolute_error
0.178606
mean_absolute_error
0.361057
mean_absolute_error
0.281219
mean_absolute_error
0.32965
mean_absolute_error
0.235316
mean_absolute_error
0.201087
mean_absolute_error
0.338317
mean_absolute_error
0.220524
mean_absolute_error
0.23975
mean_absolute_error
0.22867
mean_absolute_error
0.52423
mean_absolute_error
0.207753
mean_absolute_error
0.113762
mean_absolute_error
0.24006
mean_absolute_error
0.157442
mean_absolute_error
0.110159
mean_absolute_error
0.520641
mean_absolute_error
0.239944
mean_absolute_error
0.279451
mean_absolute_error
0.322216
mean_absolute_error
0.164318
mean_absolute_error
0.464438
mean_absolute_error
0.260372
mean_absolute_error
0.409864
mean_absolute_error
0.154411
mean_absolute_error
0.361476
mean_absolute_error
0.111162
mean_absolute_error
0.522557
mean_absolute_error
0.242802
mean_absolute_error
0.223099
mean_absolute_error
0.324889
mean_absolute_error
0.413601
mean_absolute_error
0.361818
mean_absolute_error
0.235047
mean_absolute_error
0.215908
mean_absolute_error
0.314865
mean_absolute_error
0.075402
mean_absolute_error
0.207724
mean_absolute_error
0.338664
mean_absolute_error
0.196406
mean_absolute_error
0.158526
mean_absolute_error
0.209234
mean_absolute_error
0.276268
mean_absolute_error
0.368141
mean_absolute_error
0.375761
mean_absolute_error
0.362661
mean_absolute_error
0.360418
mean_absolute_error
0.078512
mean_absolute_error
0.323025
mean_absolute_error
0.284104
mean_absolute_error
0.157441
mean_absolute_error
0.199564
mean_absolute_error
0.263633
mean_absolute_error
0.247206
mean_absolute_error
0.263758
mean_absolute_error
0.225018
mean_absolute_error
0.23975
mean_absolute_error
0.324551
mean_absolute_error
0.193483
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.490196
mean_prior_absolute_error
0.490196
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
number_of_instances
10 [5,5]
number_of_instances
10 [4,6]
number_of_instances
10 [4,6]
precision
0.72 [0.6,0.8]
precision
0.708333 [0.75,0.666667]
precision
1 [1,1]
precision
0.619048 [0.571429,0.666667]
precision
0.92 [0.8,1]
precision
0.916667 [1,0.833333]
precision
1 [1,1]
precision
0.8 [0.75,0.833333]
precision
0.916667 [0.833333,1]
precision
1 [1,1]
precision
0.866667 [0.666667,1]
precision
0.8 [0.8,0.8]
precision
1 [1,1]
precision
0.8125 [1,0.625]
precision
0.85 [1,0.75]
precision
0.8125 [1,0.625]
precision
0.916667 [0.833333,1]
precision
0.72 [0.6,0.8]
precision
0.916667 [0.833333,1]
precision
0.916667 [0.833333,1]
precision
0.8 [0.75,0.833333]
precision
0.916667 [1,0.833333]
precision
0.777778 [0.555556,1]
precision
0.8 [0.8,0.8]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.8,0.8]
precision
0.619048 [0.666667,0.571429]
precision
0.85 [1,0.75]
precision
0.8 [0.8,0.8]
precision
0.6 [0.6,0.6]
precision
0.575 [0.5,0.625]
precision
0.777778 [1,0.555556]
precision
0.708333 [0.666667,0.75]
precision
0.916667 [0.833333,1]
precision
0.92 [0.8,1]
precision
0.619048 [0.571429,0.666667]
precision
0.6 [0.6,0.6]
precision
0.52 [0.4,0.6]
precision
0.6 [0.6,0.6]
precision
0.619048 [0.666667,0.571429]
precision
0.72 [0.6,0.8]
precision
0.916667 [1,0.833333]
precision
0.708333 [0.75,0.666667]
precision
0.8125 [1,0.625]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.8 [0.8,0.8]
precision
0.8 [0.75,0.833333]
precision
0.857143 [1,0.714286]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.8,0.8]
precision
0.52 [0.4,0.6]
precision
0.914286 [1,0.857143]
precision
1 [1,1]
precision
0.857143 [0.714286,1]
precision
0.92 [0.8,1]
precision
1 [1,1]
precision
0.4 [0.4,0.4]
precision
0.8 [0.75,0.833333]
precision
0.72 [0.6,0.8]
precision
0.708333 [0.666667,0.75]
precision
0.92 [0.8,1]
precision
0.433333 [0.333333,0.5]
precision
0.8 [0.75,0.833333]
precision
0.619048 [0.571429,0.666667]
precision
0.92 [0.8,1]
precision
0.72 [0.6,0.8]
precision
1 [1,1]
precision
0.433333 [0.333333,0.5]
precision
0.8 [0.75,0.833333]
precision
0.857143 [1,0.714286]
precision
0.72 [0.6,0.8]
precision
0.65 [0.5,0.75]
precision
0.72 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.92 [0.8,1]
precision
0.8 [0.75,0.833333]
precision
1 [1,1]
precision
0.8 [0.75,0.833333]
precision
0.828571 [0.571429,1]
precision
0.857143 [1,0.714286]
precision
0.92 [0.8,1]
precision
0.8 [0.75,0.833333]
precision
0.8 [0.75,0.833333]
precision
0.619048 [0.666667,0.571429]
precision
0.6 [0.5,0.666667]
precision
0.72 [0.6,0.8]
precision
0.708333 [0.75,0.666667]
precision
1 [1,1]
precision
0.695238 [0.666667,0.714286]
precision
0.8 [0.8,0.8]
precision
0.92 [0.8,1]
precision
0.85 [1,0.75]
precision
0.828571 [0.571429,1]
precision
0.8 [0.8,0.8]
precision
0.85 [1,0.75]
precision
0.8 [0.75,0.833333]
precision
0.708333 [0.75,0.666667]
precision
0.8 [0.75,0.833333]
precision
0.914286 [1,0.857143]
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.5
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.5
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
1
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
0.9
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.9
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.7
predictive_accuracy
0.7
predictive_accuracy
1
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.7
predictive_accuracy
0.8
predictive_accuracy
0.9
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
prior_entropy
0.993055
recall
0.7 [0.75,0.666667]
recall
0.7 [0.6,0.8]
recall
1 [1,1]
recall
0.6 [0.8,0.4]
recall
0.9 [1,0.833333]
recall
0.9 [0.8,1]
recall
1 [1,1]
recall
0.8 [0.75,0.833333]
recall
0.9 [1,0.8]
recall
1 [1,1]
recall
0.8 [1,0.666667]
recall
0.8 [0.8,0.8]
recall
1 [1,1]
recall
0.7 [0.4,1]
recall
0.8 [0.5,1]
recall
0.7 [0.4,1]
recall
0.9 [1,0.8]
recall
0.7 [0.75,0.666667]
recall
0.9 [1,0.8]
recall
0.9 [1,0.8]
recall
0.8 [0.75,0.833333]
recall
0.9 [0.8,1]
recall
0.6 [1,0.2]
recall
0.8 [0.8,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.8,0.8]
recall
0.6 [0.4,0.8]
recall
0.8 [0.5,1]
recall
0.8 [0.8,0.8]
recall
0.6 [0.6,0.6]
recall
0.6 [0.25,0.833333]
recall
0.6 [0.2,1]
recall
0.7 [0.8,0.6]
recall
0.9 [1,0.8]
recall
0.9 [1,0.833333]
recall
0.6 [0.8,0.4]
recall
0.6 [0.6,0.6]
recall
0.5 [0.5,0.5]
recall
0.6 [0.6,0.6]
recall
0.6 [0.4,0.8]
recall
0.7 [0.75,0.666667]
recall
0.9 [0.8,1]
recall
0.7 [0.6,0.8]
recall
0.7 [0.4,1]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
0.8 [0.8,0.8]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.6,1]
recall
0.7 [0.6,0.8]
recall
0.8 [0.8,0.8]
recall
0.5 [0.5,0.5]
recall
0.9 [0.75,1]
recall
1 [1,1]
recall
0.8 [1,0.6]
recall
0.9 [1,0.833333]
recall
1 [1,1]
recall
0.4 [0.4,0.4]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.75,0.666667]
recall
0.7 [0.8,0.6]
recall
0.9 [1,0.833333]
recall
0.4 [0.5,0.333333]
recall
0.8 [0.75,0.833333]
recall
0.6 [0.8,0.4]
recall
0.9 [1,0.833333]
recall
0.7 [0.75,0.666667]
recall
1 [1,1]
recall
0.4 [0.5,0.333333]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.6,1]
recall
0.7 [0.75,0.666667]
recall
0.6 [0.75,0.5]
recall
0.7 [0.75,0.666667]
recall
0.8 [0.8,0.8]
recall
0.9 [1,0.833333]
recall
0.8 [0.75,0.833333]
recall
1 [1,1]
recall
0.8 [0.75,0.833333]
recall
0.7 [1,0.5]
recall
0.8 [0.6,1]
recall
0.9 [1,0.833333]
recall
0.8 [0.75,0.833333]
recall
0.8 [0.75,0.833333]
recall
0.6 [0.4,0.8]
recall
0.6 [0.5,0.666667]
recall
0.7 [0.75,0.666667]
recall
0.7 [0.6,0.8]
recall
1 [1,1]
recall
0.7 [0.5,0.833333]
recall
0.8 [0.8,0.8]
recall
0.9 [1,0.833333]
recall
0.8 [0.5,1]
recall
0.7 [1,0.5]
recall
0.8 [0.8,0.8]
recall
0.8 [0.5,1]
recall
0.8 [0.75,0.833333]
recall
0.7 [0.6,0.8]
recall
0.8 [0.75,0.833333]
recall
0.9 [0.75,1]
relative_absolute_error
0.607727
relative_absolute_error
0.479499
relative_absolute_error
0.29593
relative_absolute_error
0.735114
relative_absolute_error
0.248729
relative_absolute_error
0.468906
relative_absolute_error
0.216485
relative_absolute_error
0.486027
relative_absolute_error
0.390678
relative_absolute_error
0.219112
relative_absolute_error
0.497429
relative_absolute_error
0.471721
relative_absolute_error
0.222323
relative_absolute_error
0.642328
relative_absolute_error
0.627195
relative_absolute_error
0.623261
relative_absolute_error
0.28323
relative_absolute_error
0.575633
relative_absolute_error
0.382366
relative_absolute_error
0.313723
relative_absolute_error
0.409905
relative_absolute_error
0.306931
relative_absolute_error
0.747172
relative_absolute_error
0.558296
relative_absolute_error
0.486825
relative_absolute_error
0.63209
relative_absolute_error
0.736283
relative_absolute_error
0.409636
relative_absolute_error
0.39105
relative_absolute_error
0.745614
relative_absolute_error
0.674291
relative_absolute_error
0.976564
relative_absolute_error
0.495381
relative_absolute_error
0.249931
relative_absolute_error
0.248729
relative_absolute_error
0.617442
relative_absolute_error
0.726631
relative_absolute_error
0.961138
relative_absolute_error
0.897157
relative_absolute_error
0.792472
relative_absolute_error
0.661617
relative_absolute_error
0.357212
relative_absolute_error
0.722114
relative_absolute_error
0.562438
relative_absolute_error
0.672486
relative_absolute_error
0.470632
relative_absolute_error
0.402175
relative_absolute_error
0.690166
relative_absolute_error
0.441048
relative_absolute_error
0.479499
relative_absolute_error
0.457341
relative_absolute_error
1.06943
relative_absolute_error
0.423816
relative_absolute_error
0.232075
relative_absolute_error
0.480121
relative_absolute_error
0.321181
relative_absolute_error
0.224725
relative_absolute_error
1.041283
relative_absolute_error
0.489485
relative_absolute_error
0.57008
relative_absolute_error
0.644433
relative_absolute_error
0.335208
relative_absolute_error
0.947452
relative_absolute_error
0.531159
relative_absolute_error
0.819728
relative_absolute_error
0.314998
relative_absolute_error
0.737411
relative_absolute_error
0.222323
relative_absolute_error
1.066016
relative_absolute_error
0.495316
relative_absolute_error
0.446197
relative_absolute_error
0.662774
relative_absolute_error
0.843746
relative_absolute_error
0.738108
relative_absolute_error
0.470094
relative_absolute_error
0.440452
relative_absolute_error
0.642325
relative_absolute_error
0.150805
relative_absolute_error
0.423758
relative_absolute_error
0.690874
relative_absolute_error
0.392813
relative_absolute_error
0.323393
relative_absolute_error
0.426838
relative_absolute_error
0.563587
relative_absolute_error
0.736283
relative_absolute_error
0.766552
relative_absolute_error
0.739828
relative_absolute_error
0.720837
relative_absolute_error
0.160165
relative_absolute_error
0.65897
relative_absolute_error
0.568207
relative_absolute_error
0.321181
relative_absolute_error
0.40711
relative_absolute_error
0.537811
relative_absolute_error
0.494413
relative_absolute_error
0.538066
relative_absolute_error
0.459037
relative_absolute_error
0.479499
relative_absolute_error
0.662083
relative_absolute_error
0.394705
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.502397
root_mean_prior_squared_error
0.492543
root_mean_prior_squared_error
0.492543
root_mean_squared_error
0.440218
root_mean_squared_error
0.380016
root_mean_squared_error
0.226377
root_mean_squared_error
0.510228
root_mean_squared_error
0.215051
root_mean_squared_error
0.369626
root_mean_squared_error
0.176092
root_mean_squared_error
0.374113
root_mean_squared_error
0.281282
root_mean_squared_error
0.174649
root_mean_squared_error
0.392098
root_mean_squared_error
0.373679
root_mean_squared_error
0.159801
root_mean_squared_error
0.483087
root_mean_squared_error
0.421967
root_mean_squared_error
0.440837
root_mean_squared_error
0.206051
root_mean_squared_error
0.457006
root_mean_squared_error
0.339958
root_mean_squared_error
0.319427
root_mean_squared_error
0.347062
root_mean_squared_error
0.298479
root_mean_squared_error
0.539364
root_mean_squared_error
0.404308
root_mean_squared_error
0.425154
root_mean_squared_error
0.473796
root_mean_squared_error
0.547704
root_mean_squared_error
0.361267
root_mean_squared_error
0.34077
root_mean_squared_error
0.553245
root_mean_squared_error
0.488565
root_mean_squared_error
0.607228
root_mean_squared_error
0.393524
root_mean_squared_error
0.215447
root_mean_squared_error
0.215051
root_mean_squared_error
0.44706
root_mean_squared_error
0.516112
root_mean_squared_error
0.608277
root_mean_squared_error
0.621822
root_mean_squared_error
0.535337
root_mean_squared_error
0.483287
root_mean_squared_error
0.309978
root_mean_squared_error
0.540392
root_mean_squared_error
0.459743
root_mean_squared_error
0.48902
root_mean_squared_error
0.424518
root_mean_squared_error
0.349818
root_mean_squared_error
0.439935
root_mean_squared_error
0.380486
root_mean_squared_error
0.380016
root_mean_squared_error
0.407063
root_mean_squared_error
0.666285
root_mean_squared_error
0.328473
root_mean_squared_error
0.160338
root_mean_squared_error
0.382557
root_mean_squared_error
0.235729
root_mean_squared_error
0.15057
root_mean_squared_error
0.61327
root_mean_squared_error
0.37374
root_mean_squared_error
0.408162
root_mean_squared_error
0.480744
root_mean_squared_error
0.244288
root_mean_squared_error
0.563295
root_mean_squared_error
0.422876
root_mean_squared_error
0.53267
root_mean_squared_error
0.319085
root_mean_squared_error
0.540521
root_mean_squared_error
0.159801
root_mean_squared_error
0.63303
root_mean_squared_error
0.354356
root_mean_squared_error
0.321779
root_mean_squared_error
0.525927
root_mean_squared_error
0.573188
root_mean_squared_error
0.54285
root_mean_squared_error
0.362356
root_mean_squared_error
0.356569
root_mean_squared_error
0.434244
root_mean_squared_error
0.077385
root_mean_squared_error
0.335958
root_mean_squared_error
0.457396
root_mean_squared_error
0.343429
root_mean_squared_error
0.22641
root_mean_squared_error
0.362344
root_mean_squared_error
0.448008
root_mean_squared_error
0.547704
root_mean_squared_error
0.553805
root_mean_squared_error
0.459149
root_mean_squared_error
0.537299
root_mean_squared_error
0.080525
root_mean_squared_error
0.519667
root_mean_squared_error
0.409962
root_mean_squared_error
0.235729
root_mean_squared_error
0.356553
root_mean_squared_error
0.365348
root_mean_squared_error
0.399608
root_mean_squared_error
0.38165
root_mean_squared_error
0.406027
root_mean_squared_error
0.380016
root_mean_squared_error
0.451003
root_mean_squared_error
0.332899
root_relative_squared_error
0.893764
root_relative_squared_error
0.756406
root_relative_squared_error
0.450594
root_relative_squared_error
1.015586
root_relative_squared_error
0.436613
root_relative_squared_error
0.735725
root_relative_squared_error
0.350503
root_relative_squared_error
0.759553
root_relative_squared_error
0.55988
root_relative_squared_error
0.347631
root_relative_squared_error
0.796068
root_relative_squared_error
0.743792
root_relative_squared_error
0.318077
root_relative_squared_error
0.961564
root_relative_squared_error
0.85671
root_relative_squared_error
0.877467
root_relative_squared_error
0.410135
root_relative_squared_error
0.927849
root_relative_squared_error
0.676671
root_relative_squared_error
0.635806
root_relative_squared_error
0.704633
root_relative_squared_error
0.594109
root_relative_squared_error
1.073581
root_relative_squared_error
0.804757
root_relative_squared_error
0.86318
root_relative_squared_error
0.94307
root_relative_squared_error
1.090182
root_relative_squared_error
0.733473
root_relative_squared_error
0.678287
root_relative_squared_error
1.101211
root_relative_squared_error
0.991922
root_relative_squared_error
1.208661
root_relative_squared_error
0.783293
root_relative_squared_error
0.428838
root_relative_squared_error
0.436613
root_relative_squared_error
0.889853
root_relative_squared_error
1.027299
root_relative_squared_error
1.234972
root_relative_squared_error
1.237711
root_relative_squared_error
1.065566
root_relative_squared_error
0.981207
root_relative_squared_error
0.616998
root_relative_squared_error
1.075628
root_relative_squared_error
0.915099
root_relative_squared_error
0.992846
root_relative_squared_error
0.844985
root_relative_squared_error
0.696299
root_relative_squared_error
0.893191
root_relative_squared_error
0.75734
root_relative_squared_error
0.756406
root_relative_squared_error
0.810241
root_relative_squared_error
1.352744
root_relative_squared_error
0.666892
root_relative_squared_error
0.325531
root_relative_squared_error
0.761462
root_relative_squared_error
0.478595
root_relative_squared_error
0.305698
root_relative_squared_error
1.220687
root_relative_squared_error
0.758797
root_relative_squared_error
0.828683
root_relative_squared_error
0.9569
root_relative_squared_error
0.495972
root_relative_squared_error
1.143646
root_relative_squared_error
0.858556
root_relative_squared_error
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