381754
2
Joaquin Vanschoren
4647
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
1107
tumors_C
https://www.openml.org/data/download/53990/tumors_C.arff
-1
1329668
description
https://api.openml.org/data/download/1329668/weka_generated_run8173964828499189408.xml
-1
1329671
model_readable
https://api.openml.org/data/download/1329671/WekaModel_weka.classifiers.bayes.BayesNet1988711019093092801.model
-1
1329670
model_serialized
https://api.openml.org/data/download/1329670/WekaSerialized_weka.classifiers.bayes.BayesNet3057315289946457126.model
-1
1329669
predictions
https://api.openml.org/data/download/1329669/weka_generated_predictions3144120950404417758.arff
area_under_roc_curve
0.584426 [0.584426,0.584426]
average_cost
0
f_measure
0.615366 [0.437346,0.711223]
kappa
0.149015
kb_relative_information_score
81.123245
mean_absolute_error
0.379023
mean_prior_absolute_error
0.456452
number_of_instances
600 [210,390]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.612961 [0.451777,0.699752]
predictive_accuracy
0.618333
prior_entropy
0.938315
recall
0.618333 [0.42381,0.723077]
relative_absolute_error
0.830369
root_mean_prior_squared_error
0.476994
root_mean_squared_error
0.609891
root_relative_squared_error
1.278612
scimark_benchmark
1292.514015 [763.6780653140162, 995.8424108437001, 543.5291474252327, 1104.229115402824, 3055.2913345395864]
total_cost
0
usercpu_time_millis
230
usercpu_time_millis_testing
70
usercpu_time_millis_training
160
area_under_roc_curve
0.722222 [0.722222,0.722222]
area_under_roc_curve
0.777778 [0.777778,0.777778]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.555556 [0.555556,0.555556]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.4375 [0.4375,0.4375]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.8125 [0.8125,0.8125]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.4375 [0.4375,0.4375]
area_under_roc_curve
0 [0,0]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.3125 [0.3125,0.3125]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.4375 [0.4375,0.4375]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.125 [0.125,0.125]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.6875 [0.6875,0.6875]
area_under_roc_curve
0.5625 [0.5625,0.5625]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.777778 [0.777778,0.777778]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
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0
average_cost
0
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0
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0
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0
average_cost
0
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0
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0
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0
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0
average_cost
0
average_cost
0
average_cost
0
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0
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0
average_cost
0
average_cost
0
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0
average_cost
0
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average_cost
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0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.625 [0.5,0.75]
f_measure
0.838095 [0.8,0.857143]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.444444 [0,0.666667]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.485714 [0.571429,0.4]
f_measure
0.333333 [0,0.666667]
f_measure
0.838095 [0.8,0.857143]
f_measure
0.444444 [0,0.666667]
f_measure
0.666667 [0.5,0.75]
f_measure
0.666667 [0.5,0.75]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.444444 [0,0.666667]
f_measure
0.666667 [0.5,0.75]
f_measure
0.514286 [0.4,0.571429]
f_measure
1 [1,1]
f_measure
0.444444 [0,0.666667]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.666667 [0.5,0.75]
f_measure
0.444444 [0,0.666667]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.666667 [0.5,0.75]
f_measure
0.666667 [0.5,0.75]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.666667 [0.5,0.75]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.533333 [0,0.8]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.444444 [0,0.666667]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.533333 [0,0.8]
f_measure
0.666667 [0.5,0.75]
f_measure
0.666667 [0.5,0.75]
f_measure
0.838095 [0.8,0.857143]
f_measure
1 [1,1]
f_measure
0.514286 [0.4,0.571429]
f_measure
1 [1,1]
f_measure
0.666667 [0.5,0.75]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.444444 [0,0.666667]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.166667 [0.5,0]
f_measure
0.838095 [0.8,0.857143]
f_measure
0.533333 [0,0.8]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.666667 [0.5,0.75]
f_measure
0.333333 [0,0.5]
f_measure
0.457143 [0.571429,0.4]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.666667 [0.5,0.75]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.333333 [0,0.5]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.514286 [0.4,0.571429]
f_measure
0 [0,0]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.533333 [0,0.8]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.533333 [0,0.8]
f_measure
0.533333 [0,0.8]
f_measure
0.533333 [0,0.8]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.666667 [0.5,0.75]
f_measure
0.444444 [0,0.666667]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.533333 [0,0.8]
f_measure
0.095238 [0.285714,0]
f_measure
0.666667 [0.5,0.75]
f_measure
0.666667 [0.5,0.75]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.190476 [0,0.285714]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.666667 [0.5,0.75]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.444444 [0,0.666667]
f_measure
0.533333 [0,0.8]
f_measure
0.533333 [0,0.8]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.333333 [0,0.5]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.444444 [0,0.666667]
f_measure
1 [1,1]
f_measure
0.666667 [0.5,0.75]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.25 [0,0.5]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.25 [0,0.5]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.666667 [0.5,0.75]
f_measure
0.666667 [0.5,0.75]
f_measure
0.625 [0.5,0.75]
f_measure
0.666667 [0.666667,0.666667]
kappa
0.333333
kappa
0.333333
kappa
0.666667
kappa
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kappa
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kappa
0.333333
kappa
0
kappa
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
3.614183
kb_relative_information_score
1.348013
kb_relative_information_score
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kb_relative_information_score
2.258978
kb_relative_information_score
0.000011
kb_relative_information_score
0
kb_relative_information_score
3.542775
kb_relative_information_score
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kb_relative_information_score
0.909835
kb_relative_information_score
1.34496
kb_relative_information_score
3.544609
kb_relative_information_score
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kb_relative_information_score
1.347124
kb_relative_information_score
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kb_relative_information_score
5.881291
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.316692
kb_relative_information_score
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kb_relative_information_score
3.495035
kb_relative_information_score
1.734772
kb_relative_information_score
1.345926
kb_relative_information_score
3.617751
kb_relative_information_score
1.341254
kb_relative_information_score
3.616609
kb_relative_information_score
1.304202
kb_relative_information_score
3.614418
kb_relative_information_score
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kb_relative_information_score
3.728111
kb_relative_information_score
1.34901
kb_relative_information_score
1.542827
kb_relative_information_score
1.347656
kb_relative_information_score
3.613917
kb_relative_information_score
5.825553
kb_relative_information_score
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kb_relative_information_score
5.870526
kb_relative_information_score
1.347668
kb_relative_information_score
3.614495
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
3.612874
kb_relative_information_score
1.560055
kb_relative_information_score
3.61452
kb_relative_information_score
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1.349324
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kb_relative_information_score
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3.042296
kb_relative_information_score
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1.347664
kb_relative_information_score
3.733347
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kb_relative_information_score
3.614099
kb_relative_information_score
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kb_relative_information_score
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1.347667
kb_relative_information_score
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1.348247
kb_relative_information_score
1.347667
kb_relative_information_score
1.354707
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3.614521
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1.319735
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kb_relative_information_score
3.614504
kb_relative_information_score
1.347674
kb_relative_information_score
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kb_relative_information_score
1.347667
kb_relative_information_score
1.314968
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
3.441603
kb_relative_information_score
1.347667
kb_relative_information_score
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kb_relative_information_score
3.571175
kb_relative_information_score
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kb_relative_information_score
1.34828
kb_relative_information_score
1.378477
kb_relative_information_score
-0.919197
kb_relative_information_score
-0.049004
kb_relative_information_score
-3.18606
kb_relative_information_score
-3.18606
kb_relative_information_score
-0.919198
kb_relative_information_score
5.828655
kb_relative_information_score
1.347561
kb_relative_information_score
1.347667
kb_relative_information_score
-2.266864
kb_relative_information_score
1.863613
kb_relative_information_score
-2.266864
kb_relative_information_score
-2.878496
kb_relative_information_score
1.348084
kb_relative_information_score
1.347665
kb_relative_information_score
2.266619
kb_relative_information_score
2.28689
mean_absolute_error
0.319641
mean_absolute_error
0.292403
mean_absolute_error
0.166704
mean_absolute_error
0.333296
mean_absolute_error
0.500013
mean_absolute_error
0.334186
mean_absolute_error
0.499999
mean_absolute_error
0.5
mean_absolute_error
0.173607
mean_absolute_error
0.554131
mean_absolute_error
0.37464
mean_absolute_error
0.333627
mean_absolute_error
0.17408
mean_absolute_error
0.5
mean_absolute_error
0.333392
mean_absolute_error
0.507505
mean_absolute_error
0.000011
mean_absolute_error
0.499252
mean_absolute_error
0.503306
mean_absolute_error
0.336657
mean_absolute_error
0.446147
mean_absolute_error
0.17913
mean_absolute_error
0.295931
mean_absolute_error
0.333522
mean_absolute_error
0.166319
mean_absolute_error
0.334027
mean_absolute_error
0.166441
mean_absolute_error
0.337979
mean_absolute_error
0.166679
mean_absolute_error
0.5
mean_absolute_error
0.154833
mean_absolute_error
0.333188
mean_absolute_error
0.312998
mean_absolute_error
0.333335
mean_absolute_error
0.166733
mean_absolute_error
0.005953
mean_absolute_error
0.5
mean_absolute_error
0.001174
mean_absolute_error
0.333333
mean_absolute_error
0.16667
mean_absolute_error
0.5
mean_absolute_error
0.50002
mean_absolute_error
0.507786
mean_absolute_error
0.609823
mean_absolute_error
0.166846
mean_absolute_error
0.311838
mean_absolute_error
0.166668
mean_absolute_error
0.462171
mean_absolute_error
0.333154
mean_absolute_error
0.650567
mean_absolute_error
0.49987
mean_absolute_error
0.219972
mean_absolute_error
0.490931
mean_absolute_error
0.333334
mean_absolute_error
0.15457
mean_absolute_error
0.666667
mean_absolute_error
0.166713
mean_absolute_error
0.499978
mean_absolute_error
0.999989
mean_absolute_error
0.5
mean_absolute_error
0.500001
mean_absolute_error
0.333333
mean_absolute_error
0.499946
mean_absolute_error
0.333271
mean_absolute_error
0.333333
mean_absolute_error
0.332572
mean_absolute_error
0.166668
mean_absolute_error
0.336333
mean_absolute_error
0.45008
mean_absolute_error
0.166669
mean_absolute_error
0.333332
mean_absolute_error
0.813487
mean_absolute_error
0.333333
mean_absolute_error
0.336855
mean_absolute_error
0.500605
mean_absolute_error
0.5
mean_absolute_error
0.833333
mean_absolute_error
0.184383
mean_absolute_error
0.333333
mean_absolute_error
0.628638
mean_absolute_error
0.171301
mean_absolute_error
0.499929
mean_absolute_error
0.333267
mean_absolute_error
0.330027
mean_absolute_error
0.5
mean_absolute_error
0.429426
mean_absolute_error
0.666667
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.00564
mean_absolute_error
0.333345
mean_absolute_error
0.333333
mean_absolute_error
0.666667
mean_absolute_error
0.371783
mean_absolute_error
0.666667
mean_absolute_error
0.635157
mean_absolute_error
0.333288
mean_absolute_error
0.333334
mean_absolute_error
0.33336
mean_absolute_error
0.331205
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
precision
0.666667 [0.666667,0.666667]
precision
0.8 [1,0.6]
precision
0.888889 [0.666667,1]
precision
0.833333 [0.5,1]
precision
0.4 [0,0.6]
precision
0.666667 [0.666667,0.666667]
precision
0.5 [0.5,0.5]
precision
0.25 [0,0.5]
precision
0.888889 [0.666667,1]
precision
0.4 [0,0.6]
precision
0.666667 [0.5,0.75]
precision
0.666667 [0.5,0.75]
precision
0.866667 [1,0.8]
precision
0.4 [0,0.6]
precision
0.666667 [0.5,0.75]
precision
0.555556 [0.333333,0.666667]
precision
1 [1,1]
precision
0.4 [0,0.6]
precision
0.555556 [0.333333,0.666667]
precision
0.666667 [0.5,0.75]
precision
0.4 [0,0.6]
precision
0.866667 [1,0.8]
precision
0.666667 [0.5,0.75]
precision
0.666667 [0.5,0.75]
precision
0.866667 [1,0.8]
precision
0.666667 [0.5,0.75]
precision
0.866667 [1,0.8]
precision
0.444444 [0,0.666667]
precision
0.866667 [1,0.8]
precision
0.4 [0,0.6]
precision
0.866667 [1,0.8]
precision
0.444444 [0,0.666667]
precision
0.666667 [0.5,0.75]
precision
0.666667 [0.5,0.75]
precision
0.888889 [0.666667,1]
precision
1 [1,1]
precision
0.555556 [0.333333,0.666667]
precision
1 [1,1]
precision
0.666667 [0.5,0.75]
precision
0.866667 [1,0.8]
precision
0.4 [0,0.6]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.111111 [0.333333,0]
precision
0.888889 [0.666667,1]
precision
0.444444 [0,0.666667]
precision
0.866667 [1,0.8]
precision
0.555556 [0.333333,0.666667]
precision
0.666667 [0.5,0.75]
precision
0.333333 [0,0.5]
precision
0.8 [0.4,1]
precision
0.866667 [1,0.8]
precision
0.555556 [0.333333,0.666667]
precision
0.666667 [0.5,0.75]
precision
0.866667 [1,0.8]
precision
0.333333 [0,0.5]
precision
0.866667 [1,0.8]
precision
0.555556 [0.333333,0.666667]
precision
0 [0,0]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.444444 [0,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.444444 [0,0.666667]
precision
0.444444 [0,0.666667]
precision
0.444444 [0,0.666667]
precision
0.866667 [1,0.8]
precision
0.666667 [0.5,0.75]
precision
0.4 [0,0.6]
precision
0.866667 [1,0.8]
precision
0.444444 [0,0.666667]
precision
0.066667 [0.2,0]
precision
0.666667 [0.5,0.75]
precision
0.666667 [0.5,0.75]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.222222 [0,0.333333]
precision
0.866667 [1,0.8]
precision
0.666667 [0.5,0.75]
precision
0.416667 [0.25,0.5]
precision
0.866667 [1,0.8]
precision
0.4 [0,0.6]
precision
0.444444 [0,0.666667]
precision
0.444444 [0,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.333333 [0,0.5]
precision
0.416667 [0.25,0.5]
precision
0.4 [0,0.6]
precision
1 [1,1]
precision
0.666667 [0.5,0.75]
precision
0.833333 [0.5,1]
precision
0.2 [0,0.4]
precision
0.666667 [0.666667,0.666667]
precision
0.2 [0,0.4]
precision
0.416667 [0.25,0.5]
precision
0.666667 [0.5,0.75]
precision
0.666667 [0.5,0.75]
precision
0.8 [1,0.6]
precision
0.666667 [0.666667,0.666667]
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.833333
predictive_accuracy
0.666667
predictive_accuracy
0.5
predictive_accuracy
0.666667
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.5
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.666667
predictive_accuracy
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0.333333
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
prior_entropy
0.938315
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0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
recall
0.666667 [0.666667,0.666667]
recall
0.666667 [0.333333,1]
recall
0.833333 [1,0.75]
recall
0.666667 [1,0.5]
recall
0.5 [0,0.75]
recall
0.666667 [0.666667,0.666667]
recall
0.5 [0.666667,0.333333]
recall
0.5 [0,1]
recall
0.833333 [1,0.75]
recall
0.5 [0,0.75]
recall
0.666667 [0.5,0.75]
recall
0.666667 [0.5,0.75]
recall
0.833333 [0.5,1]
recall
0.5 [0,0.75]
recall
0.666667 [0.5,0.75]
recall
0.5 [0.5,0.5]
recall
1 [1,1]
recall
0.5 [0,0.75]
recall
0.5 [0.5,0.5]
recall
0.666667 [0.5,0.75]
recall
0.5 [0,0.75]
recall
0.833333 [0.5,1]
recall
0.666667 [0.5,0.75]
recall
0.666667 [0.5,0.75]
recall
0.833333 [0.5,1]
recall
0.666667 [0.5,0.75]
recall
0.833333 [0.5,1]
recall
0.666667 [0,1]
recall
0.833333 [0.5,1]
recall
0.5 [0,0.75]
recall
0.833333 [0.5,1]
recall
0.666667 [0,1]
recall
0.666667 [0.5,0.75]
recall
0.666667 [0.5,0.75]
recall
0.833333 [1,0.75]
recall
1 [1,1]
recall
0.5 [0.5,0.5]
recall
1 [1,1]
recall
0.666667 [0.5,0.75]
recall
0.833333 [0.5,1]
recall
0.5 [0,0.75]
recall
0.5 [0.5,0.5]
recall
0.5 [0.5,0.5]
recall
0.333333 [1,0]
recall
0.833333 [1,0.75]
recall
0.666667 [0,1]
recall
0.833333 [0.5,1]
recall
0.5 [0.5,0.5]
recall
0.666667 [0.5,0.75]
recall
0.333333 [0,0.5]
recall
0.5 [1,0.25]
recall
0.833333 [0.5,1]
recall
0.5 [0.5,0.5]
recall
0.666667 [0.5,0.75]
recall
0.833333 [0.5,1]
recall
0.333333 [0,0.5]
recall
0.833333 [0.5,1]
recall
0.5 [0.5,0.5]
recall
0 [0,0]
recall
0.5 [0.5,0.5]
recall
0.5 [0.5,0.5]
recall
0.666667 [0,1]
recall
0.5 [0.5,0.5]
recall
0.666667 [0,1]
recall
0.666667 [0,1]
recall
0.666667 [0,1]
recall
0.833333 [0.5,1]
recall
0.666667 [0.5,0.75]
recall
0.5 [0,0.75]
recall
0.833333 [0.5,1]
recall
0.666667 [0,1]
recall
0.166667 [0.5,0]
recall
0.666667 [0.5,0.75]
recall
0.666667 [0.5,0.75]
recall
0.5 [0.5,0.5]
recall
0.5 [0.5,0.5]
recall
0.166667 [0,0.25]
recall
0.833333 [0.5,1]
recall
0.666667 [0.5,0.75]
recall
0.333333 [0.5,0.25]
recall
0.833333 [0.5,1]
recall
0.5 [0,0.75]
recall
0.666667 [0,1]
recall
0.666667 [0,1]
recall
0.5 [0.5,0.5]
recall
0.5 [0.5,0.5]
recall
0.333333 [0,0.5]
recall
0.333333 [0.5,0.25]
recall
0.5 [0,0.75]
recall
1 [1,1]
recall
0.666667 [0.5,0.75]
recall
0.666667 [1,0.5]
recall
0.333333 [0,0.666667]
recall
0.666667 [0.666667,0.666667]
recall
0.333333 [0,0.666667]
recall
0.333333 [0.5,0.25]
recall
0.666667 [0.5,0.75]
recall
0.666667 [0.5,0.75]
recall
0.666667 [0.333333,1]
recall
0.666667 [0.666667,0.666667]
relative_absolute_error
0.639283
relative_absolute_error
0.584806
relative_absolute_error
0.369131
relative_absolute_error
0.738012
relative_absolute_error
1.107172
relative_absolute_error
0.668372
relative_absolute_error
0.999998
relative_absolute_error
1
relative_absolute_error
0.384416
relative_absolute_error
1.227005
relative_absolute_error
0.82956
relative_absolute_error
0.738745
relative_absolute_error
0.385463
relative_absolute_error
1.107143
relative_absolute_error
0.738226
relative_absolute_error
1.12376
relative_absolute_error
0.000025
relative_absolute_error
1.105487
relative_absolute_error
1.114464
relative_absolute_error
0.745456
relative_absolute_error
0.987898
relative_absolute_error
0.396645
relative_absolute_error
0.655275
relative_absolute_error
0.738513
relative_absolute_error
0.368277
relative_absolute_error
0.739631
relative_absolute_error
0.368549
relative_absolute_error
0.748382
relative_absolute_error
0.369075
relative_absolute_error
1.107143
relative_absolute_error
0.342846
relative_absolute_error
0.737773
relative_absolute_error
0.693067
relative_absolute_error
0.738098
relative_absolute_error
0.369195
relative_absolute_error
0.013181
relative_absolute_error
1.107143
relative_absolute_error
0.0026
relative_absolute_error
0.738095
relative_absolute_error
0.369056
relative_absolute_error
1.107143
relative_absolute_error
1.107188
relative_absolute_error
1.124383
relative_absolute_error
1.350323
relative_absolute_error
0.369445
relative_absolute_error
0.690498
relative_absolute_error
0.36905
relative_absolute_error
1.023378
relative_absolute_error
0.737698
relative_absolute_error
1.440541
relative_absolute_error
1.106855
relative_absolute_error
0.48708
relative_absolute_error
1.087062
relative_absolute_error
0.738096
relative_absolute_error
0.342261
relative_absolute_error
1.47619
relative_absolute_error
0.369151
relative_absolute_error
1.107093
relative_absolute_error
2.214261
relative_absolute_error
1.107144
relative_absolute_error
1.107145
relative_absolute_error
0.738095
relative_absolute_error
1.107023
relative_absolute_error
0.737956
relative_absolute_error
0.738095
relative_absolute_error
0.736409
relative_absolute_error
0.36905
relative_absolute_error
0.744737
relative_absolute_error
0.996606
relative_absolute_error
0.369054
relative_absolute_error
0.738093
relative_absolute_error
1.801293
relative_absolute_error
0.738095
relative_absolute_error
0.745894
relative_absolute_error
1.108484
relative_absolute_error
1.107143
relative_absolute_error
1.845238
relative_absolute_error
0.408276
relative_absolute_error
0.738095
relative_absolute_error
1.391984
relative_absolute_error
0.379309
relative_absolute_error
1.106987
relative_absolute_error
0.737948
relative_absolute_error
0.730774
relative_absolute_error
1.107143
relative_absolute_error
0.950871
relative_absolute_error
1.47619
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
0.012488
relative_absolute_error
0.738121
relative_absolute_error
0.738095
relative_absolute_error
1.333333
relative_absolute_error
0.743565
relative_absolute_error
1.333333
relative_absolute_error
1.406418
relative_absolute_error
0.737995
relative_absolute_error
0.738096
relative_absolute_error
0.66672
relative_absolute_error
0.66241
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_squared_error
0.544265
root_mean_squared_error
0.511265
root_mean_squared_error
0.408092
root_mean_squared_error
0.577285
root_mean_squared_error
0.707089
root_mean_squared_error
0.577354
root_mean_squared_error
0.707104
root_mean_squared_error
0.707107
root_mean_squared_error
0.376096
root_mean_squared_error
0.719431
root_mean_squared_error
0.586137
root_mean_squared_error
0.577349
root_mean_squared_error
0.40864
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.707346
root_mean_squared_error
0.000021
root_mean_squared_error
0.706047
root_mean_squared_error
0.707139
root_mean_squared_error
0.577408
root_mean_squared_error
0.640075
root_mean_squared_error
0.409386
root_mean_squared_error
0.51605
root_mean_squared_error
0.577288
root_mean_squared_error
0.40653
root_mean_squared_error
0.577353
root_mean_squared_error
0.407689
root_mean_squared_error
0.577462
root_mean_squared_error
0.408247
root_mean_squared_error
0.707107
root_mean_squared_error
0.378059
root_mean_squared_error
0.577098
root_mean_squared_error
0.542199
root_mean_squared_error
0.577349
root_mean_squared_error
0.408248
root_mean_squared_error
0.013998
root_mean_squared_error
0.707107
root_mean_squared_error
0.00286
root_mean_squared_error
0.57735
root_mean_squared_error
0.408248
root_mean_squared_error
0.707107
root_mean_squared_error
0.707106
root_mean_squared_error
0.707364
root_mean_squared_error
0.756548
root_mean_squared_error
0.407818
root_mean_squared_error
0.541304
root_mean_squared_error
0.408248
root_mean_squared_error
0.657396
root_mean_squared_error
0.577028
root_mean_squared_error
0.797506
root_mean_squared_error
0.70692
root_mean_squared_error
0.42506
root_mean_squared_error
0.694513
root_mean_squared_error
0.57735
root_mean_squared_error
0.368951
root_mean_squared_error
0.816497
root_mean_squared_error
0.407916
root_mean_squared_error
0.707033
root_mean_squared_error
0.999989
root_mean_squared_error
0.707102
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.70703
root_mean_squared_error
0.577241
root_mean_squared_error
0.57735
root_mean_squared_error
0.576024
root_mean_squared_error
0.408248
root_mean_squared_error
0.577319
root_mean_squared_error
0.644238
root_mean_squared_error
0.408248
root_mean_squared_error
0.577349
root_mean_squared_error
0.892191
root_mean_squared_error
0.57735
root_mean_squared_error
0.577389
root_mean_squared_error
0.707047
root_mean_squared_error
0.707107
root_mean_squared_error
0.912871
root_mean_squared_error
0.410247
root_mean_squared_error
0.57735
root_mean_squared_error
0.772743
root_mean_squared_error
0.408406
root_mean_squared_error
0.707006
root_mean_squared_error
0.577235
root_mean_squared_error
0.571652
root_mean_squared_error
0.707107
root_mean_squared_error
0.620471
root_mean_squared_error
0.816497
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.012282
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.816497
root_mean_squared_error
0.584981
root_mean_squared_error
0.816497
root_mean_squared_error
0.779102
root_mean_squared_error
0.577268
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.570021
root_relative_squared_error
1.045365
root_relative_squared_error
0.981983
root_relative_squared_error
0.864794
root_relative_squared_error
1.223334
root_relative_squared_error
1.498404
root_relative_squared_error
1.10892
root_relative_squared_error
1.35813
root_relative_squared_error
1.358135
root_relative_squared_error
0.79699
root_relative_squared_error
1.524558
root_relative_squared_error
1.242092
root_relative_squared_error
1.22347
root_relative_squared_error
0.865955
root_relative_squared_error
1.498442
root_relative_squared_error
1.223472
root_relative_squared_error
1.498948
root_relative_squared_error
0.000045
root_relative_squared_error
1.496196
root_relative_squared_error
1.49851
root_relative_squared_error
1.223594
root_relative_squared_error
1.356393
root_relative_squared_error
0.867537
root_relative_squared_error
1.093571
root_relative_squared_error
1.223341
root_relative_squared_error
0.861484
root_relative_squared_error
1.223478
root_relative_squared_error
0.86394
root_relative_squared_error
1.22371
root_relative_squared_error
0.865124
root_relative_squared_error
1.498442
root_relative_squared_error
0.801151
root_relative_squared_error
1.222938
root_relative_squared_error
1.148982
root_relative_squared_error
1.223471
root_relative_squared_error
0.865126
root_relative_squared_error
0.029664
root_relative_squared_error
1.498442
root_relative_squared_error
0.006061
root_relative_squared_error
1.223472
root_relative_squared_error
0.865126
root_relative_squared_error
1.498442
root_relative_squared_error
1.49844
root_relative_squared_error
1.498986
root_relative_squared_error
1.603212
root_relative_squared_error
0.864213
root_relative_squared_error
1.147086
root_relative_squared_error
0.865126
root_relative_squared_error
1.3931
root_relative_squared_error
1.22279
root_relative_squared_error
1.690008
root_relative_squared_error
1.498046
root_relative_squared_error
0.900751
root_relative_squared_error
1.471753
root_relative_squared_error
1.223472
root_relative_squared_error
0.78185
root_relative_squared_error
1.730251
root_relative_squared_error
0.864421
root_relative_squared_error
1.498285
root_relative_squared_error
2.119093
root_relative_squared_error
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