370954
2
Joaquin Vanschoren
4421
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
851
tecator
https://www.openml.org/data/download/53385/tecator.arff
-1
1287598
description
https://api.openml.org/data/download/1287598/weka_generated_run7093839052446349971.xml
-1
1287601
model_readable
https://api.openml.org/data/download/1287601/WekaModel_weka.classifiers.bayes.BayesNet8198995796190352300.model
-1
1287600
model_serialized
https://api.openml.org/data/download/1287600/WekaSerialized_weka.classifiers.bayes.BayesNet6843364958682205337.model
-1
1287599
predictions
https://api.openml.org/data/download/1287599/weka_generated_predictions1870183566978284634.arff
area_under_roc_curve
0.687288 [0.687288,0.687288]
average_cost
0
f_measure
0.635944 [0.63821,0.634269]
kappa
0.289637
kb_relative_information_score
596.307227
mean_absolute_error
0.363696
mean_prior_absolute_error
0.488843
number_of_instances
2400 [1020,1380]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.667174 [0.552764,0.751738]
predictive_accuracy
0.63625
prior_entropy
0.983977
recall
0.63625 [0.754902,0.548551]
relative_absolute_error
0.743994
root_mean_prior_squared_error
0.494343
root_mean_squared_error
0.601107
root_relative_squared_error
1.215971
scimark_benchmark
1303.563215 [786.7571646357777, 961.0748763849452, 498.25607343629724, 1069.5389745082775, 3202.188983850141]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.681818 [0.681818,0.681818]
area_under_roc_curve
0.457143 [0.457143,0.457143]
area_under_roc_curve
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area_under_roc_curve
0.525 [0.525,0.525]
area_under_roc_curve
0.771429 [0.771429,0.771429]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.842857 [0.842857,0.842857]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.782143 [0.782143,0.782143]
area_under_roc_curve
0.587413 [0.587413,0.587413]
area_under_roc_curve
0.764286 [0.764286,0.764286]
area_under_roc_curve
0.478571 [0.478571,0.478571]
area_under_roc_curve
0.564286 [0.564286,0.564286]
area_under_roc_curve
0.535714 [0.535714,0.535714]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.496429 [0.496429,0.496429]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.921429 [0.921429,0.921429]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.635714 [0.635714,0.635714]
area_under_roc_curve
0.660714 [0.660714,0.660714]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.685714 [0.685714,0.685714]
area_under_roc_curve
0.575 [0.575,0.575]
area_under_roc_curve
0.864286 [0.864286,0.864286]
area_under_roc_curve
0.696429 [0.696429,0.696429]
area_under_roc_curve
0.746429 [0.746429,0.746429]
area_under_roc_curve
0.632143 [0.632143,0.632143]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.714286 [0.714286,0.714286]
area_under_roc_curve
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area_under_roc_curve
0.685714 [0.685714,0.685714]
area_under_roc_curve
0.867857 [0.867857,0.867857]
area_under_roc_curve
0.553571 [0.553571,0.553571]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.828571 [0.828571,0.828571]
area_under_roc_curve
0.996429 [0.996429,0.996429]
area_under_roc_curve
0.628571 [0.628571,0.628571]
area_under_roc_curve
0.589286 [0.589286,0.589286]
area_under_roc_curve
0.571429 [0.571429,0.571429]
area_under_roc_curve
0.475 [0.475,0.475]
area_under_roc_curve
0.557143 [0.557143,0.557143]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.742857 [0.742857,0.742857]
area_under_roc_curve
0.614286 [0.614286,0.614286]
area_under_roc_curve
0.771429 [0.771429,0.771429]
area_under_roc_curve
0.642857 [0.642857,0.642857]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.682143 [0.682143,0.682143]
area_under_roc_curve
0.596429 [0.596429,0.596429]
area_under_roc_curve
0.732143 [0.732143,0.732143]
area_under_roc_curve
0.592857 [0.592857,0.592857]
area_under_roc_curve
0.792857 [0.792857,0.792857]
area_under_roc_curve
0.589286 [0.589286,0.589286]
area_under_roc_curve
0.957143 [0.957143,0.957143]
area_under_roc_curve
0.610714 [0.610714,0.610714]
area_under_roc_curve
0.610714 [0.610714,0.610714]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.814286 [0.814286,0.814286]
area_under_roc_curve
0.578571 [0.578571,0.578571]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.689286 [0.689286,0.689286]
area_under_roc_curve
0.814286 [0.814286,0.814286]
area_under_roc_curve
0.601399 [0.601399,0.601399]
area_under_roc_curve
0.58042 [0.58042,0.58042]
area_under_roc_curve
0.895105 [0.895105,0.895105]
area_under_roc_curve
0.713287 [0.713287,0.713287]
area_under_roc_curve
0.699301 [0.699301,0.699301]
area_under_roc_curve
0.555944 [0.555944,0.555944]
area_under_roc_curve
0.594406 [0.594406,0.594406]
area_under_roc_curve
0.734266 [0.734266,0.734266]
area_under_roc_curve
0.889286 [0.889286,0.889286]
area_under_roc_curve
0.721429 [0.721429,0.721429]
area_under_roc_curve
0.744755 [0.744755,0.744755]
area_under_roc_curve
0.611888 [0.611888,0.611888]
area_under_roc_curve
0.692308 [0.692308,0.692308]
area_under_roc_curve
0.751748 [0.751748,0.751748]
area_under_roc_curve
0.587413 [0.587413,0.587413]
area_under_roc_curve
0.527972 [0.527972,0.527972]
area_under_roc_curve
0.664336 [0.664336,0.664336]
area_under_roc_curve
0.660839 [0.660839,0.660839]
area_under_roc_curve
0.589286 [0.589286,0.589286]
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f_measure
0.60118 [0.689655,0.526316]
f_measure
0.383333 [0.5,0.3]
f_measure
0.875652 [0.869565,0.88]
f_measure
0.503497 [0.454545,0.538462]
f_measure
0.751748 [0.727273,0.769231]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.647619 [0.714286,0.6]
f_measure
0.461159 [0.434783,0.48]
f_measure
0.5 [0.5,0.5]
f_measure
0.708841 [0.695652,0.72]
f_measure
0.621739 [0.64,0.608696]
f_measure
0.751748 [0.727273,0.769231]
f_measure
0.697531 [0.740741,0.666667]
f_measure
0.524691 [0.592593,0.47619]
f_measure
0.751748 [0.727273,0.769231]
f_measure
0.709855 [0.695652,0.72]
f_measure
0.744755 [0.769231,0.727273]
f_measure
0.709877 [0.666667,0.740741]
f_measure
0.583333 [0.583333,0.583333]
f_measure
0.709877 [0.666667,0.740741]
f_measure
0.453623 [0.48,0.434783]
f_measure
0.537681 [0.56,0.521739]
f_measure
0.544092 [0.47619,0.592593]
f_measure
0.544058 [0.521739,0.56]
f_measure
0.48951 [0.538462,0.454545]
f_measure
0.583333 [0.583333,0.583333]
f_measure
0.626957 [0.608696,0.64]
f_measure
0.744755 [0.769231,0.727273]
f_measure
0.559524 [0.642857,0.5]
f_measure
0.5 [0.5,0.5]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.626957 [0.608696,0.64]
f_measure
0.668998 [0.636364,0.692308]
f_measure
0.621739 [0.64,0.608696]
f_measure
0.917249 [0.909091,0.923077]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.583333 [0.583333,0.583333]
f_measure
0.709855 [0.695652,0.72]
f_measure
0.611111 [0.666667,0.571429]
f_measure
0.668998 [0.636364,0.692308]
f_measure
0.559524 [0.642857,0.5]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.705687 [0.631579,0.758621]
f_measure
0.75 [0.75,0.75]
f_measure
0.626957 [0.608696,0.64]
f_measure
0.75 [0.75,0.75]
f_measure
0.537508 [0.421053,0.62069]
f_measure
0.621597 [0.526316,0.689655]
f_measure
0.621739 [0.64,0.608696]
f_measure
0.659674 [0.692308,0.636364]
f_measure
0.744755 [0.769231,0.727273]
f_measure
0.559524 [0.642857,0.5]
f_measure
0.583333 [0.583333,0.583333]
f_measure
0.583333 [0.5,0.642857]
f_measure
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f_measure
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f_measure
0.917249 [0.909091,0.923077]
f_measure
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f_measure
0.666667 [0.666667,0.666667]
f_measure
0.574592 [0.615385,0.545455]
f_measure
0.709855 [0.695652,0.72]
f_measure
0.621739 [0.64,0.608696]
f_measure
0.647619 [0.714286,0.6]
f_measure
0.583333 [0.583333,0.583333]
f_measure
0.559524 [0.642857,0.5]
f_measure
0.524691 [0.592593,0.47619]
f_measure
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f_measure
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f_measure
0.792769 [0.761905,0.814815]
f_measure
0.583333 [0.583333,0.583333]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.583333 [0.545455,0.615385]
f_measure
0.583333 [0.545455,0.615385]
f_measure
0.79058 [0.8,0.782609]
f_measure
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f_measure
0.708841 [0.695652,0.72]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.615079 [0.666667,0.571429]
f_measure
0.583333 [0.583333,0.583333]
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0.043478
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0.217391
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0.164557
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0.316456
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0.565217
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0.485714
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0.319149
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0.416667
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0.108108
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0.183673
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0.328671
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kappa
0.355705
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kappa
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kappa
0.020408
kappa
0.328671
kappa
0.27027
kappa
0.189189
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kb_relative_information_score
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kb_relative_information_score
17.637393
kb_relative_information_score
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kb_relative_information_score
11.499606
kb_relative_information_score
7.382713
kb_relative_information_score
7.382549
kb_relative_information_score
7.383763
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
9.454641
kb_relative_information_score
5.315706
kb_relative_information_score
11.513461
kb_relative_information_score
9.469343
kb_relative_information_score
1.190092
kb_relative_information_score
11.483257
kb_relative_information_score
9.446769
kb_relative_information_score
12.373106
kb_relative_information_score
9.448139
kb_relative_information_score
3.691273
kb_relative_information_score
9.383549
kb_relative_information_score
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kb_relative_information_score
1.186413
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
3.251804
kb_relative_information_score
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kb_relative_information_score
7.439162
kb_relative_information_score
5.317168
kb_relative_information_score
7.382544
kb_relative_information_score
5.317168
kb_relative_information_score
17.726472
kb_relative_information_score
7.382546
kb_relative_information_score
3.251788
kb_relative_information_score
9.464965
kb_relative_information_score
5.317173
kb_relative_information_score
7.382783
kb_relative_information_score
3.317765
kb_relative_information_score
7.382585
kb_relative_information_score
9.447933
kb_relative_information_score
12.053476
kb_relative_information_score
5.317359
kb_relative_information_score
11.506314
kb_relative_information_score
1.186415
kb_relative_information_score
6.136071
kb_relative_information_score
5.317168
kb_relative_information_score
7.382609
kb_relative_information_score
12.474973
kb_relative_information_score
3.251791
kb_relative_information_score
3.213561
kb_relative_information_score
3.251791
kb_relative_information_score
-0.878967
kb_relative_information_score
-0.812637
kb_relative_information_score
18.92781
kb_relative_information_score
5.317168
kb_relative_information_score
7.382738
kb_relative_information_score
3.251791
kb_relative_information_score
9.449687
kb_relative_information_score
5.317167
kb_relative_information_score
7.390615
kb_relative_information_score
3.251791
kb_relative_information_score
3.251773
kb_relative_information_score
1.191516
kb_relative_information_score
5.317221
kb_relative_information_score
1.248803
kb_relative_information_score
13.55625
kb_relative_information_score
2.759525
kb_relative_information_score
14.348939
kb_relative_information_score
2.983567
kb_relative_information_score
1.186418
kb_relative_information_score
5.302216
kb_relative_information_score
7.382728
kb_relative_information_score
13.269061
kb_relative_information_score
-0.865775
kb_relative_information_score
5.314731
kb_relative_information_score
5.628194
kb_relative_information_score
11.58697
kb_relative_information_score
3.691747
kb_relative_information_score
3.691273
kb_relative_information_score
13.401368
kb_relative_information_score
7.822968
kb_relative_information_score
9.876599
kb_relative_information_score
1.625895
kb_relative_information_score
3.691273
kb_relative_information_score
5.75668
kb_relative_information_score
13.632568
kb_relative_information_score
5.317038
kb_relative_information_score
7.827816
kb_relative_information_score
3.714428
kb_relative_information_score
7.813052
kb_relative_information_score
5.756658
kb_relative_information_score
3.691273
kb_relative_information_score
0.041859
kb_relative_information_score
7.822028
kb_relative_information_score
5.756684
kb_relative_information_score
3.251786
mean_absolute_error
0.375
mean_absolute_error
0.583333
mean_absolute_error
0.126981
mean_absolute_error
0.5
mean_absolute_error
0.250387
mean_absolute_error
0.333329
mean_absolute_error
0.333333
mean_absolute_error
0.333299
mean_absolute_error
0.541667
mean_absolute_error
0.5
mean_absolute_error
0.302316
mean_absolute_error
0.375042
mean_absolute_error
0.249995
mean_absolute_error
0.291059
mean_absolute_error
0.458229
mean_absolute_error
0.250849
mean_absolute_error
0.291699
mean_absolute_error
0.231708
mean_absolute_error
0.291661
mean_absolute_error
0.416667
mean_absolute_error
0.29346
mean_absolute_error
0.541667
mean_absolute_error
0.458333
mean_absolute_error
0.458333
mean_absolute_error
0.458333
mean_absolute_error
0.50005
mean_absolute_error
0.416667
mean_absolute_error
0.375
mean_absolute_error
0.246817
mean_absolute_error
0.416666
mean_absolute_error
0.5
mean_absolute_error
0.331743
mean_absolute_error
0.375
mean_absolute_error
0.333333
mean_absolute_error
0.375
mean_absolute_error
0.129807
mean_absolute_error
0.333333
mean_absolute_error
0.416667
mean_absolute_error
0.291184
mean_absolute_error
0.375
mean_absolute_error
0.333327
mean_absolute_error
0.414833
mean_absolute_error
0.333332
mean_absolute_error
0.291666
mean_absolute_error
0.236669
mean_absolute_error
0.374995
mean_absolute_error
0.250198
mean_absolute_error
0.458333
mean_absolute_error
0.357169
mean_absolute_error
0.375
mean_absolute_error
0.333332
mean_absolute_error
0.227155
mean_absolute_error
0.416667
mean_absolute_error
0.417739
mean_absolute_error
0.416667
mean_absolute_error
0.5
mean_absolute_error
0.498137
mean_absolute_error
0.104397
mean_absolute_error
0.375
mean_absolute_error
0.333328
mean_absolute_error
0.416667
mean_absolute_error
0.291617
mean_absolute_error
0.375
mean_absolute_error
0.333104
mean_absolute_error
0.416667
mean_absolute_error
0.416667
mean_absolute_error
0.458189
mean_absolute_error
0.374999
mean_absolute_error
0.456597
mean_absolute_error
0.208969
mean_absolute_error
0.42855
mean_absolute_error
0.188581
mean_absolute_error
0.423633
mean_absolute_error
0.458333
mean_absolute_error
0.375423
mean_absolute_error
0.333328
mean_absolute_error
0.216236
mean_absolute_error
0.499626
mean_absolute_error
0.375069
mean_absolute_error
0.367036
mean_absolute_error
0.247958
mean_absolute_error
0.416653
mean_absolute_error
0.416667
mean_absolute_error
0.218829
mean_absolute_error
0.333307
mean_absolute_error
0.291973
mean_absolute_error
0.458333
mean_absolute_error
0.416667
mean_absolute_error
0.374999
mean_absolute_error
0.206661
mean_absolute_error
0.375004
mean_absolute_error
0.33317
mean_absolute_error
0.416014
mean_absolute_error
0.333588
mean_absolute_error
0.375
mean_absolute_error
0.416667
mean_absolute_error
0.487968
mean_absolute_error
0.333333
mean_absolute_error
0.374999
mean_absolute_error
0.416667
mean_prior_absolute_error
0.493802
mean_prior_absolute_error
0.487603
mean_prior_absolute_error
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0.487603
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0.487603
mean_prior_absolute_error
0.493802
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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24 [10,14]
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24 [10,14]
number_of_instances
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24 [10,14]
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24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
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24 [10,14]
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24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
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24 [10,14]
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24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
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24 [10,14]
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24 [10,14]
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24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [10,14]
number_of_instances
24 [10,14]
number_of_instances
24 [11,13]
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24 [11,13]
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24 [11,13]
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24 [11,13]
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24 [11,13]
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24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [11,13]
number_of_instances
24 [10,14]
precision
0.706019 [0.555556,0.833333]
precision
0.453704 [0.388889,0.5]
precision
0.903846 [0.769231,1]
precision
0.513889 [0.416667,0.583333]
precision
0.763889 [0.666667,0.833333]
precision
0.704762 [0.571429,0.8]
precision
0.704762 [0.571429,0.8]
precision
0.814815 [0.555556,1]
precision
0.478438 [0.384615,0.545455]
precision
0.506993 [0.461538,0.545455]
precision
0.711806 [0.666667,0.75]
precision
0.675926 [0.533333,0.777778]
precision
0.763889 [0.666667,0.833333]
precision
0.828431 [0.588235,1]
precision
0.612745 [0.470588,0.714286]
precision
0.763889 [0.666667,0.833333]
precision
0.733683 [0.615385,0.818182]
precision
0.84375 [0.625,1]
precision
0.713869 [0.636364,0.769231]
precision
0.591492 [0.538462,0.636364]
precision
0.713869 [0.636364,0.769231]
precision
0.490741 [0.4,0.555556]
precision
0.583333 [0.466667,0.666667]
precision
0.548368 [0.454545,0.615385]
precision
0.56352 [0.461538,0.636364]
precision
0.546875 [0.4375,0.625]
precision
0.616667 [0.5,0.7]
precision
0.648601 [0.538462,0.727273]
precision
0.84375 [0.625,1]
precision
0.694444 [0.5,0.833333]
precision
0.528571 [0.428571,0.6]
precision
0.704762 [0.571429,0.8]
precision
0.648601 [0.538462,0.727273]
precision
0.680556 [0.583333,0.75]
precision
0.675926 [0.533333,0.777778]
precision
0.930556 [0.833333,1]
precision
0.704762 [0.571429,0.8]
precision
0.616667 [0.5,0.7]
precision
0.733683 [0.615385,0.818182]
precision
0.720588 [0.529412,0.857143]
precision
0.680556 [0.583333,0.75]
precision
0.694444 [0.5,0.833333]
precision
0.704762 [0.571429,0.8]
precision
0.705556 [0.666667,0.733333]
precision
0.792857 [0.642857,0.9]
precision
0.648601 [0.538462,0.727273]
precision
0.792857 [0.642857,0.9]
precision
0.535185 [0.444444,0.6]
precision
0.62037 [0.555556,0.666667]
precision
0.675926 [0.533333,0.777778]
precision
0.744792 [0.5625,0.875]
precision
0.84375 [0.625,1]
precision
0.694444 [0.5,0.833333]
precision
0.616667 [0.5,0.7]
precision
0.583333 [0.5,0.642857]
precision
0.513889 [0.416667,0.583333]
precision
0.528571 [0.428571,0.6]
precision
0.930556 [0.833333,1]
precision
0.675926 [0.533333,0.777778]
precision
0.704762 [0.571429,0.8]
precision
0.645833 [0.5,0.75]
precision
0.733683 [0.615385,0.818182]
precision
0.675926 [0.533333,0.777778]
precision
0.814815 [0.555556,1]
precision
0.616667 [0.5,0.7]
precision
0.694444 [0.5,0.833333]
precision
0.612745 [0.470588,0.714286]
precision
0.675926 [0.533333,0.777778]
precision
0.664035 [0.473684,0.8]
precision
0.79662 [0.727273,0.846154]
precision
0.616667 [0.5,0.7]
precision
0.79662 [0.727273,0.846154]
precision
0.616667 [0.5,0.7]
precision
0.583333 [0.466667,0.666667]
precision
0.802632 [0.526316,1]
precision
0.704762 [0.571429,0.8]
precision
0.790741 [0.777778,0.8]
precision
0.546875 [0.4375,0.625]
precision
0.648601 [0.538462,0.727273]
precision
0.648601 [0.538462,0.727273]
precision
0.75 [0.7,0.785714]
precision
0.583333 [0.545455,0.615385]
precision
0.583333 [0.545455,0.615385]
precision
0.814881 [0.714286,0.9]
precision
0.666667 [0.666667,0.666667]
precision
0.711806 [0.666667,0.75]
precision
0.567708 [0.5,0.625]
precision
0.605556 [0.533333,0.666667]
precision
0.664062 [0.5625,0.75]
precision
0.790741 [0.777778,0.8]
precision
0.720588 [0.529412,0.857143]
precision
0.666667 [0.636364,0.692308]
precision
0.591492 [0.538462,0.636364]
precision
0.733894 [0.588235,0.857143]
precision
0.706019 [0.555556,0.833333]
precision
0.591492 [0.538462,0.636364]
precision
0.514815 [0.466667,0.555556]
precision
0.666667 [0.636364,0.692308]
precision
0.664062 [0.5625,0.75]
precision
0.616667 [0.5,0.7]
predictive_accuracy
0.625
predictive_accuracy
0.416667
predictive_accuracy
0.875
predictive_accuracy
0.5
predictive_accuracy
0.75
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
0.625
predictive_accuracy
0.666667
predictive_accuracy
0.75
predictive_accuracy
0.583333
predictive_accuracy
0.583333
predictive_accuracy
0.583333
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.916667
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.583333
predictive_accuracy
0.708333
predictive_accuracy
0.625
predictive_accuracy
0.666667
predictive_accuracy
0.583333
predictive_accuracy
0.583333
predictive_accuracy
0.541667
predictive_accuracy
0.625
predictive_accuracy
0.541667
predictive_accuracy
0.791667
predictive_accuracy
0.583333
predictive_accuracy
0.791667
predictive_accuracy
0.583333
predictive_accuracy
0.541667
predictive_accuracy
0.625
predictive_accuracy
0.666667
predictive_accuracy
0.791667
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.75
predictive_accuracy
0.583333
predictive_accuracy
0.583333
predictive_accuracy
0.791667
predictive_accuracy
0.666667
predictive_accuracy
0.708333
predictive_accuracy
0.541667
predictive_accuracy
0.583333
predictive_accuracy
0.625
predictive_accuracy
0.791667
predictive_accuracy
0.625
predictive_accuracy
0.666667
predictive_accuracy
0.583333
predictive_accuracy
0.666667
predictive_accuracy
0.625
predictive_accuracy
0.583333
predictive_accuracy
0.5
predictive_accuracy
0.666667
predictive_accuracy
0.625
predictive_accuracy
0.583333
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
prior_entropy
0.983977
recall
0.625 [0.909091,0.384615]
recall
0.416667 [0.7,0.214286]
recall
0.875 [1,0.785714]
recall
0.5 [0.5,0.5]
recall
0.75 [0.8,0.714286]
recall
0.666667 [0.8,0.571429]
recall
0.666667 [0.8,0.571429]
recall
0.666667 [1,0.428571]
recall
0.458333 [0.5,0.428571]
recall
0.5 [0.545455,0.461538]
recall
0.708333 [0.727273,0.692308]
recall
0.625 [0.8,0.5]
recall
0.75 [0.8,0.714286]
recall
0.708333 [1,0.5]
recall
0.541667 [0.8,0.357143]
recall
0.75 [0.8,0.714286]
recall
0.708333 [0.8,0.642857]
recall
0.75 [1,0.571429]
recall
0.708333 [0.7,0.714286]
recall
0.583333 [0.636364,0.538462]
recall
0.708333 [0.7,0.714286]
recall
0.458333 [0.6,0.357143]
recall
0.541667 [0.7,0.428571]
recall
0.541667 [0.5,0.571429]
recall
0.541667 [0.6,0.5]
recall
0.5 [0.7,0.357143]
recall
0.583333 [0.7,0.5]
recall
0.625 [0.7,0.571429]
recall
0.75 [1,0.571429]
recall
0.583333 [0.9,0.357143]
recall
0.5 [0.6,0.428571]
recall
0.666667 [0.8,0.571429]
recall
0.625 [0.7,0.571429]
recall
0.666667 [0.7,0.642857]
recall
0.625 [0.8,0.5]
recall
0.916667 [1,0.857143]
recall
0.666667 [0.8,0.571429]
recall
0.583333 [0.7,0.5]
recall
0.708333 [0.8,0.642857]
recall
0.625 [0.9,0.428571]
recall
0.666667 [0.7,0.642857]
recall
0.583333 [0.9,0.357143]
recall
0.666667 [0.8,0.571429]
recall
0.708333 [0.6,0.785714]
recall
0.75 [0.9,0.642857]
recall
0.625 [0.7,0.571429]
recall
0.75 [0.9,0.642857]
recall
0.541667 [0.4,0.642857]
recall
0.625 [0.5,0.714286]
recall
0.625 [0.8,0.5]
recall
0.666667 [0.9,0.5]
recall
0.75 [1,0.571429]
recall
0.583333 [0.9,0.357143]
recall
0.583333 [0.7,0.5]
recall
0.583333 [0.5,0.642857]
recall
0.5 [0.5,0.5]
recall
0.5 [0.6,0.428571]
recall
0.916667 [1,0.857143]
recall
0.625 [0.8,0.5]
recall
0.666667 [0.8,0.571429]
recall
0.583333 [0.8,0.428571]
recall
0.708333 [0.8,0.642857]
recall
0.625 [0.8,0.5]
recall
0.666667 [1,0.428571]
recall
0.583333 [0.7,0.5]
recall
0.583333 [0.9,0.357143]
recall
0.541667 [0.8,0.357143]
recall
0.625 [0.8,0.5]
recall
0.541667 [0.9,0.285714]
recall
0.791667 [0.8,0.785714]
recall
0.583333 [0.7,0.5]
recall
0.791667 [0.8,0.785714]
recall
0.583333 [0.7,0.5]
recall
0.541667 [0.7,0.428571]
recall
0.625 [1,0.357143]
recall
0.666667 [0.8,0.571429]
recall
0.791667 [0.7,0.857143]
recall
0.5 [0.7,0.357143]
recall
0.625 [0.7,0.571429]
recall
0.625 [0.7,0.571429]
recall
0.75 [0.7,0.785714]
recall
0.583333 [0.545455,0.615385]
recall
0.583333 [0.545455,0.615385]
recall
0.791667 [0.909091,0.692308]
recall
0.666667 [0.545455,0.769231]
recall
0.708333 [0.727273,0.692308]
recall
0.541667 [0.727273,0.384615]
recall
0.583333 [0.727273,0.461538]
recall
0.625 [0.818182,0.461538]
recall
0.791667 [0.7,0.857143]
recall
0.625 [0.9,0.428571]
recall
0.666667 [0.636364,0.692308]
recall
0.583333 [0.636364,0.538462]
recall
0.666667 [0.909091,0.461538]
recall
0.625 [0.909091,0.384615]
recall
0.583333 [0.636364,0.538462]
recall
0.5 [0.636364,0.384615]
recall
0.666667 [0.636364,0.692308]
recall
0.625 [0.818182,0.461538]
recall
0.583333 [0.7,0.5]
relative_absolute_error
0.759414
relative_absolute_error
1.196328
relative_absolute_error
0.260419
relative_absolute_error
1.025424
relative_absolute_error
0.513506
relative_absolute_error
0.683606
relative_absolute_error
0.683616
relative_absolute_error
0.683545
relative_absolute_error
1.110876
relative_absolute_error
1.012552
relative_absolute_error
0.612222
relative_absolute_error
0.769153
relative_absolute_error
0.512703
relative_absolute_error
0.596917
relative_absolute_error
0.939758
relative_absolute_error
0.514454
relative_absolute_error
0.598231
relative_absolute_error
0.475198
relative_absolute_error
0.598151
relative_absolute_error
0.843794
relative_absolute_error
0.601842
relative_absolute_error
1.110876
relative_absolute_error
0.939972
relative_absolute_error
0.939972
relative_absolute_error
0.939972
relative_absolute_error
1.025526
relative_absolute_error
0.85452
relative_absolute_error
0.769068
relative_absolute_error
0.506184
relative_absolute_error
0.854519
relative_absolute_error
1.025424
relative_absolute_error
0.680355
relative_absolute_error
0.769068
relative_absolute_error
0.683616
relative_absolute_error
0.769068
relative_absolute_error
0.266214
relative_absolute_error
0.683616
relative_absolute_error
0.85452
relative_absolute_error
0.597174
relative_absolute_error
0.769068
relative_absolute_error
0.683602
relative_absolute_error
0.85076
relative_absolute_error
0.683614
relative_absolute_error
0.598163
relative_absolute_error
0.485372
relative_absolute_error
0.769057
relative_absolute_error
0.513118
relative_absolute_error
0.939972
relative_absolute_error
0.732499
relative_absolute_error
0.769068
relative_absolute_error
0.683612
relative_absolute_error
0.46586
relative_absolute_error
0.85452
relative_absolute_error
0.856719
relative_absolute_error
0.85452
relative_absolute_error
1.025424
relative_absolute_error
1.021604
relative_absolute_error
0.214102
relative_absolute_error
0.769068
relative_absolute_error
0.683605
relative_absolute_error
0.85452
relative_absolute_error
0.598061
relative_absolute_error
0.769068
relative_absolute_error
0.683146
relative_absolute_error
0.85452
relative_absolute_error
0.854521
relative_absolute_error
0.939675
relative_absolute_error
0.769065
relative_absolute_error
0.936412
relative_absolute_error
0.428563
relative_absolute_error
0.87889
relative_absolute_error
0.386751
relative_absolute_error
0.868806
relative_absolute_error
0.939971
relative_absolute_error
0.769935
relative_absolute_error
0.683605
relative_absolute_error
0.443468
relative_absolute_error
1.024657
relative_absolute_error
0.76921
relative_absolute_error
0.752734
relative_absolute_error
0.508524
relative_absolute_error
0.843766
relative_absolute_error
0.843794
relative_absolute_error
0.443151
relative_absolute_error
0.674981
relative_absolute_error
0.591275
relative_absolute_error
0.928173
relative_absolute_error
0.843794
relative_absolute_error
0.759413
relative_absolute_error
0.423829
relative_absolute_error
0.769075
relative_absolute_error
0.674703
relative_absolute_error
0.842471
relative_absolute_error
0.67555
relative_absolute_error
0.759414
relative_absolute_error
0.843794
relative_absolute_error
0.988187
relative_absolute_error
0.675035
relative_absolute_error
0.759412
relative_absolute_error
0.85452
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.493088
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.499334
root_mean_prior_squared_error
0.493088
root_mean_squared_error
0.612372
root_mean_squared_error
0.763763
root_mean_squared_error
0.3527
root_mean_squared_error
0.707107
root_mean_squared_error
0.499947
root_mean_squared_error
0.577342
root_mean_squared_error
0.57735
root_mean_squared_error
0.577278
root_mean_squared_error
0.73598
root_mean_squared_error
0.707107
root_mean_squared_error
0.542576
root_mean_squared_error
0.612372
root_mean_squared_error
0.499991
root_mean_squared_error
0.538936
root_mean_squared_error
0.676849
root_mean_squared_error
0.500009
root_mean_squared_error
0.540059
root_mean_squared_error
0.469541
root_mean_squared_error
0.54005
root_mean_squared_error
0.645497
root_mean_squared_error
0.540125
root_mean_squared_error
0.73598
root_mean_squared_error
0.677003
root_mean_squared_error
0.677003
root_mean_squared_error
0.677003
root_mean_squared_error
0.707107
root_mean_squared_error
0.645497
root_mean_squared_error
0.612372
root_mean_squared_error
0.493737
root_mean_squared_error
0.645497
root_mean_squared_error
0.707107
root_mean_squared_error
0.574622
root_mean_squared_error
0.612372
root_mean_squared_error
0.57735
root_mean_squared_error
0.612372
root_mean_squared_error
0.316992
root_mean_squared_error
0.57735
root_mean_squared_error
0.645497
root_mean_squared_error
0.53917
root_mean_squared_error
0.612372
root_mean_squared_error
0.577339
root_mean_squared_error
0.64271
root_mean_squared_error
0.577348
root_mean_squared_error
0.540061
root_mean_squared_error
0.476036
root_mean_squared_error
0.612363
root_mean_squared_error
0.499982
root_mean_squared_error
0.677003
root_mean_squared_error
0.58904
root_mean_squared_error
0.612372
root_mean_squared_error
0.577347
root_mean_squared_error
0.459476
root_mean_squared_error
0.645497
root_mean_squared_error
0.645519
root_mean_squared_error
0.645497
root_mean_squared_error
0.707107
root_mean_squared_error
0.704499
root_mean_squared_error
0.262242
root_mean_squared_error
0.612372
root_mean_squared_error
0.577341
root_mean_squared_error
0.645497
root_mean_squared_error
0.539969
root_mean_squared_error
0.612372
root_mean_squared_error
0.576954
root_mean_squared_error
0.645497
root_mean_squared_error
0.645497
root_mean_squared_error
0.67679
root_mean_squared_error
0.61237
root_mean_squared_error
0.674488
root_mean_squared_error
0.456428
root_mean_squared_error
0.648117
root_mean_squared_error
0.415351
root_mean_squared_error
0.646398
root_mean_squared_error
0.677003
root_mean_squared_error
0.612375
root_mean_squared_error
0.577341
root_mean_squared_error
0.457807
root_mean_squared_error
0.706579
root_mean_squared_error
0.612373
root_mean_squared_error
0.600495
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