401836
2
Joaquin Vanschoren
4523
Supervised Classification
predictive_accuracy
1199
weka.ADTree(4)
2069
weka.classifiers.trees.ADTree -- -B 10 -E -3 -S 1
B
10
1199
E
-3
1199
S
1
1199
weka
weka_3.7.12
955
tae
https://www.openml.org/data/download/53489/tae.arff
-1
1406092
description
https://api.openml.org/data/download/1406092/weka_generated_run6409161924618958082.xml
-1
1406095
model_readable
https://api.openml.org/data/download/1406095/WekaModel_weka.classifiers.trees.ADTree4689288811655142044.model
-1
1406094
model_serialized
https://api.openml.org/data/download/1406094/WekaSerialized_weka.classifiers.trees.ADTree7472220715524295882.model
-1
1406093
predictions
https://api.openml.org/data/download/1406093/weka_generated_predictions4894341657514463569.arff
area_under_roc_curve
0.712035 [0.712035,0.712035]
average_cost
0
f_measure
0.695552 [0.534572,0.780107]
kappa
0.316413
kb_relative_information_score
167.588064
mean_absolute_error
0.398795
mean_prior_absolute_error
0.452192
number_of_instances
1510 [520,990]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.692994 [0.576837,0.754006]
predictive_accuracy
0.701325
prior_entropy
0.930817
recall
0.701325 [0.498077,0.808081]
relative_absolute_error
0.881915
root_mean_prior_squared_error
0.475167
root_mean_squared_error
0.449431
root_relative_squared_error
0.945838
scimark_benchmark
906.088382 [553.9030000092794, 941.8157401795005, 438.62003434576457, 880.860264734365, 1715.242872852011]
total_cost
0
usercpu_time_millis
10
usercpu_time_millis_testing
0
usercpu_time_millis_training
10
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.483333 [0.483333,0.483333]
area_under_roc_curve
0.883333 [0.883333,0.883333]
area_under_roc_curve
0.775 [0.775,0.775]
area_under_roc_curve
0.591667 [0.591667,0.591667]
area_under_roc_curve
0.708333 [0.708333,0.708333]
area_under_roc_curve
0.791667 [0.791667,0.791667]
area_under_roc_curve
0.85 [0.85,0.85]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.49 [0.49,0.49]
area_under_roc_curve
0.63 [0.63,0.63]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.685185 [0.685185,0.685185]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.44 [0.44,0.44]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.61 [0.61,0.61]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.98 [0.98,0.98]
area_under_roc_curve
0.77 [0.77,0.77]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.94 [0.94,0.94]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.53 [0.53,0.53]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.73 [0.73,0.73]
area_under_roc_curve
0.77 [0.77,0.77]
area_under_roc_curve
0.87 [0.87,0.87]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.39 [0.39,0.39]
area_under_roc_curve
0.68 [0.68,0.68]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.87 [0.87,0.87]
area_under_roc_curve
0.73 [0.73,0.73]
area_under_roc_curve
0.57 [0.57,0.57]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.63 [0.63,0.63]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.52 [0.52,0.52]
area_under_roc_curve
0.72 [0.72,0.72]
area_under_roc_curve
0.85 [0.85,0.85]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.95 [0.95,0.95]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.89 [0.89,0.89]
area_under_roc_curve
0.51 [0.51,0.51]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.49 [0.49,0.49]
area_under_roc_curve
0.52 [0.52,0.52]
area_under_roc_curve
0.67 [0.67,0.67]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.95 [0.95,0.95]
area_under_roc_curve
0.71 [0.71,0.71]
area_under_roc_curve
0.82 [0.82,0.82]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.67 [0.67,0.67]
area_under_roc_curve
0.9 [0.9,0.9]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.703704 [0.703704,0.703704]
area_under_roc_curve
0.731481 [0.731481,0.731481]
area_under_roc_curve
0.777778 [0.777778,0.777778]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.648148 [0.648148,0.648148]
area_under_roc_curve
0.67 [0.67,0.67]
area_under_roc_curve
0.62037 [0.62037,0.62037]
area_under_roc_curve
0.81 [0.81,0.81]
area_under_roc_curve
0.564815 [0.564815,0.564815]
area_under_roc_curve
0.74 [0.74,0.74]
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
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
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
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
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0
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0
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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
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.5 [0.333333,0.6]
f_measure
0.708333 [0.5,0.833333]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.808442 [0.727273,0.857143]
f_measure
0.808442 [0.727273,0.857143]
f_measure
0.625 [0.5,0.7]
f_measure
0.680736 [0.545455,0.761905]
f_measure
0.753968 [0.714286,0.777778]
f_measure
0.808442 [0.727273,0.857143]
f_measure
0.5625 [0.25,0.75]
f_measure
0.6 [0.4,0.7]
f_measure
0.6 [0.4,0.7]
f_measure
0.518519 [0.222222,0.666667]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.47619 [0.428571,0.5]
f_measure
0.533333 [0.533333,0.533333]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.80181 [0.769231,0.823529]
f_measure
0.733333 [0.6,0.8]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.6 [0.4,0.7]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.6 [0.4,0.7]
f_measure
0.675716 [0.615385,0.705882]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.733333 [0.6,0.8]
f_measure
0.866667 [0.8,0.9]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.6 [0.4,0.7]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.424242 [0,0.636364]
f_measure
0.533333 [0.533333,0.533333]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.463768 [0,0.695652]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.424242 [0,0.636364]
f_measure
0.47619 [0.428571,0.5]
f_measure
0.733333 [0.6,0.8]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.733333 [0.6,0.8]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.733333 [0.6,0.8]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.931217 [0.888889,0.952381]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.866667 [0.8,0.9]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.733333 [0.6,0.8]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.934609 [0.909091,0.947368]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.607143 [0.571429,0.625]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.47619 [0.428571,0.5]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.542265 [0.363636,0.631579]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.518519 [0.222222,0.666667]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.866667 [0.8,0.9]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.728571 [0.75,0.714286]
f_measure
0.537557 [0.461538,0.588235]
f_measure
0.796172 [0.727273,0.842105]
f_measure
0.660287 [0.545455,0.736842]
f_measure
0.735714 [0.714286,0.75]
f_measure
0.733333 [0.6,0.8]
f_measure
0.6 [0.5,0.666667]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.6 [0.5,0.666667]
f_measure
0.733333 [0.6,0.8]
kappa
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kappa
0.384615
kappa
0.142857
kappa
0.586207
kappa
0.586207
kappa
0.2
kappa
0.310345
kappa
0.5
kappa
0.586207
kappa
0.076923
kappa
0.1
kappa
0.1
kappa
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kappa
0.117647
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0
kappa
0.102564
kappa
0.526316
kappa
0.594595
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0.358974
kappa
0.666667
kappa
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kappa
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kappa
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kappa
0.347826
kappa
0.285714
kappa
0.470588
kappa
0.333333
kappa
0.571429
kappa
0.470588
kappa
0.4
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0.7
kappa
0.526316
kappa
0.1
kappa
0.25
kappa
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kappa
0.16
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kappa
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kappa
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0
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kappa
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kappa
0.210526
kappa
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kappa
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kappa
0.333333
kappa
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kappa
0.526316
kappa
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kappa
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kappa
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kappa
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kappa
0.117647
kappa
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kappa
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kappa
0.210526
kappa
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0.470588
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0.333333
kappa
0.333333
kappa
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0.526316
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0
kappa
0.454545
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kappa
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0.526316
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0.25
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kappa
0
kappa
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kappa
0.054054
kappa
0.571429
kappa
0.285714
kappa
0.473684
kappa
0.4
kappa
0.166667
kappa
0.470588
kappa
0.166667
kappa
0.4
kb_relative_information_score
-0.106296
kb_relative_information_score
5.014267
kb_relative_information_score
-1.689617
kb_relative_information_score
4.415632
kb_relative_information_score
3.447203
kb_relative_information_score
0.352005
kb_relative_information_score
2.167693
kb_relative_information_score
3.203721
kb_relative_information_score
4.535584
kb_relative_information_score
1.107507
kb_relative_information_score
0.782934
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.547562
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.204896
kb_relative_information_score
3.033809
kb_relative_information_score
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kb_relative_information_score
1.12749
kb_relative_information_score
3.322828
kb_relative_information_score
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kb_relative_information_score
2.202791
kb_relative_information_score
0.032346
kb_relative_information_score
1.139172
kb_relative_information_score
1.92768
kb_relative_information_score
1.844247
kb_relative_information_score
1.76815
kb_relative_information_score
2.276216
kb_relative_information_score
3.861542
kb_relative_information_score
2.757666
kb_relative_information_score
1.305609
kb_relative_information_score
4.538513
kb_relative_information_score
0.734325
kb_relative_information_score
2.35131
kb_relative_information_score
0.206234
kb_relative_information_score
-0.373072
kb_relative_information_score
2.006682
kb_relative_information_score
0.754426
kb_relative_information_score
3.060827
kb_relative_information_score
1.191971
kb_relative_information_score
4.317718
kb_relative_information_score
1.415818
kb_relative_information_score
1.409744
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.229275
kb_relative_information_score
4.984468
kb_relative_information_score
1.437165
kb_relative_information_score
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kb_relative_information_score
2.890454
kb_relative_information_score
0.456055
kb_relative_information_score
1.060596
kb_relative_information_score
2.733878
kb_relative_information_score
2.814245
kb_relative_information_score
2.223019
kb_relative_information_score
1.906553
kb_relative_information_score
3.221923
kb_relative_information_score
0.727034
kb_relative_information_score
1.758918
kb_relative_information_score
1.800754
kb_relative_information_score
0.720943
kb_relative_information_score
2.935871
kb_relative_information_score
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kb_relative_information_score
4.047665
kb_relative_information_score
2.92799
kb_relative_information_score
1.209118
kb_relative_information_score
0.124971
kb_relative_information_score
4.514455
kb_relative_information_score
4.328188
kb_relative_information_score
0.844844
kb_relative_information_score
2.440204
kb_relative_information_score
4.637376
kb_relative_information_score
-2.926203
kb_relative_information_score
1.397627
kb_relative_information_score
0.306541
kb_relative_information_score
0.317478
kb_relative_information_score
-0.248527
kb_relative_information_score
-0.577531
kb_relative_information_score
1.621143
kb_relative_information_score
3.642458
kb_relative_information_score
4.885009
kb_relative_information_score
1.562226
kb_relative_information_score
2.54551
kb_relative_information_score
2.008361
kb_relative_information_score
2.384954
kb_relative_information_score
2.078137
kb_relative_information_score
-0.051996
kb_relative_information_score
1.005116
kb_relative_information_score
0.306285
kb_relative_information_score
2.305759
kb_relative_information_score
1.905932
kb_relative_information_score
3.25755
kb_relative_information_score
2.401117
kb_relative_information_score
2.149374
kb_relative_information_score
2.032838
kb_relative_information_score
1.021484
kb_relative_information_score
3.213198
kb_relative_information_score
0.561239
kb_relative_information_score
1.674768
mean_absolute_error
0.445677
mean_absolute_error
0.329802
mean_absolute_error
0.493898
mean_absolute_error
0.355746
mean_absolute_error
0.37939
mean_absolute_error
0.446836
mean_absolute_error
0.402958
mean_absolute_error
0.380119
mean_absolute_error
0.351066
mean_absolute_error
0.429505
mean_absolute_error
0.412471
mean_absolute_error
0.436764
mean_absolute_error
0.443807
mean_absolute_error
0.388458
mean_absolute_error
0.465777
mean_absolute_error
0.498303
mean_absolute_error
0.382658
mean_absolute_error
0.404572
mean_absolute_error
0.438824
mean_absolute_error
0.429527
mean_absolute_error
0.353891
mean_absolute_error
0.474082
mean_absolute_error
0.367609
mean_absolute_error
0.437414
mean_absolute_error
0.405985
mean_absolute_error
0.38952
mean_absolute_error
0.400185
mean_absolute_error
0.386958
mean_absolute_error
0.384304
mean_absolute_error
0.347893
mean_absolute_error
0.36255
mean_absolute_error
0.406408
mean_absolute_error
0.336088
mean_absolute_error
0.418456
mean_absolute_error
0.386638
mean_absolute_error
0.41722
mean_absolute_error
0.441743
mean_absolute_error
0.387949
mean_absolute_error
0.40976
mean_absolute_error
0.364664
mean_absolute_error
0.413872
mean_absolute_error
0.322055
mean_absolute_error
0.396363
mean_absolute_error
0.388036
mean_absolute_error
0.457581
mean_absolute_error
0.445053
mean_absolute_error
0.379383
mean_absolute_error
0.314551
mean_absolute_error
0.402211
mean_absolute_error
0.446234
mean_absolute_error
0.361519
mean_absolute_error
0.426162
mean_absolute_error
0.407543
mean_absolute_error
0.360325
mean_absolute_error
0.369269
mean_absolute_error
0.379141
mean_absolute_error
0.393094
mean_absolute_error
0.366572
mean_absolute_error
0.416195
mean_absolute_error
0.391623
mean_absolute_error
0.394215
mean_absolute_error
0.413192
mean_absolute_error
0.367949
mean_absolute_error
0.454182
mean_absolute_error
0.327641
mean_absolute_error
0.365727
mean_absolute_error
0.414802
mean_absolute_error
0.436174
mean_absolute_error
0.326281
mean_absolute_error
0.323572
mean_absolute_error
0.410506
mean_absolute_error
0.380992
mean_absolute_error
0.319748
mean_absolute_error
0.507432
mean_absolute_error
0.407666
mean_absolute_error
0.423754
mean_absolute_error
0.422047
mean_absolute_error
0.430524
mean_absolute_error
0.439182
mean_absolute_error
0.401434
mean_absolute_error
0.333618
mean_absolute_error
0.310916
mean_absolute_error
0.39801
mean_absolute_error
0.372677
mean_absolute_error
0.379548
mean_absolute_error
0.364334
mean_absolute_error
0.387506
mean_absolute_error
0.437278
mean_absolute_error
0.413252
mean_absolute_error
0.425904
mean_absolute_error
0.403989
mean_absolute_error
0.420727
mean_absolute_error
0.383326
mean_absolute_error
0.398662
mean_absolute_error
0.419115
mean_absolute_error
0.391566
mean_absolute_error
0.433698
mean_absolute_error
0.356094
mean_absolute_error
0.453656
mean_absolute_error
0.394576
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.461601
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
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0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
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0.448802
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0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
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0.448802
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0.448802
mean_prior_absolute_error
0.448802
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0.448802
mean_prior_absolute_error
0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
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0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
mean_prior_absolute_error
0.469281
mean_prior_absolute_error
0.448802
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
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16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
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number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
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15 [5,10]
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15 [5,10]
number_of_instances
15 [5,10]
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15 [5,10]
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15 [5,10]
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15 [5,10]
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15 [5,10]
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15 [5,10]
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15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
number_of_instances
15 [6,9]
number_of_instances
15 [5,10]
precision
0.5 [0.333333,0.6]
precision
0.821429 [1,0.714286]
precision
0.604167 [0.5,0.666667]
precision
0.811364 [0.8,0.818182]
precision
0.811364 [0.8,0.818182]
precision
0.625 [0.5,0.7]
precision
0.679545 [0.6,0.727273]
precision
0.78125 [0.625,0.875]
precision
0.811364 [0.8,0.818182]
precision
0.589286 [0.5,0.642857]
precision
0.6 [0.4,0.7]
precision
0.6 [0.4,0.7]
precision
0.507576 [0.25,0.636364]
precision
0.628205 [0.5,0.692308]
precision
0.555556 [0.333333,0.666667]
precision
0.577778 [0.444444,0.666667]
precision
0.795455 [0.75,0.818182]
precision
0.810714 [0.714286,0.875]
precision
0.733333 [0.6,0.8]
precision
0.722222 [0.555556,0.833333]
precision
0.888889 [1,0.833333]
precision
0.6 [0.4,0.7]
precision
0.628205 [0.5,0.692308]
precision
0.6 [0.4,0.7]
precision
0.738095 [0.5,0.857143]
precision
0.685185 [0.5,0.777778]
precision
0.846154 [1,0.769231]
precision
0.722222 [0.666667,0.75]
precision
0.814815 [0.666667,0.888889]
precision
0.846154 [1,0.769231]
precision
0.733333 [0.6,0.8]
precision
0.866667 [0.8,0.9]
precision
0.795455 [0.75,0.818182]
precision
0.6 [0.4,0.7]
precision
0.809524 [1,0.714286]
precision
0.388889 [0,0.583333]
precision
0.666667 [0.4,0.8]
precision
0.809524 [1,0.714286]
precision
0.685185 [0.5,0.777778]
precision
0.651515 [0.5,0.727273]
precision
0.410256 [0,0.615385]
precision
0.628205 [0.5,0.692308]
precision
0.685185 [0.5,0.777778]
precision
0.651515 [0.5,0.727273]
precision
0.388889 [0,0.583333]
precision
0.555556 [0.333333,0.666667]
precision
0.733333 [0.6,0.8]
precision
0.888889 [1,0.833333]
precision
0.722222 [0.666667,0.75]
precision
0.651515 [0.5,0.727273]
precision
0.651515 [0.5,0.727273]
precision
0.628205 [0.5,0.692308]
precision
0.733333 [0.6,0.8]
precision
0.722222 [0.666667,0.75]
precision
0.733333 [0.6,0.8]
precision
0.795455 [0.75,0.818182]
precision
0.795455 [0.75,0.818182]
precision
0.939394 [1,0.909091]
precision
0.809524 [1,0.714286]
precision
0.814815 [0.666667,0.888889]
precision
0.866667 [0.8,0.9]
precision
0.628205 [0.5,0.692308]
precision
0.722222 [0.666667,0.75]
precision
0.733333 [0.6,0.8]
precision
0.814815 [0.666667,0.888889]
precision
0.944444 [0.833333,1]
precision
0.651515 [0.5,0.727273]
precision
0.703704 [0.444444,0.833333]
precision
0.846154 [1,0.769231]
precision
0.722222 [0.666667,0.75]
precision
0.722222 [0.666667,0.75]
precision
0.628205 [0.5,0.692308]
precision
0.795455 [0.75,0.818182]
precision
0.555556 [0.333333,0.666667]
precision
0.77381 [0.571429,0.875]
precision
0.555556 [0.333333,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.555556 [0.333333,0.666667]
precision
0.507576 [0.25,0.636364]
precision
0.722222 [0.666667,0.75]
precision
0.888889 [1,0.833333]
precision
0.888889 [1,0.833333]
precision
0.651515 [0.5,0.727273]
precision
0.888889 [1,0.833333]
precision
0.809524 [1,0.714286]
precision
0.628205 [0.5,0.692308]
precision
0.795455 [0.75,0.818182]
precision
0.809524 [1,0.714286]
precision
0.866667 [0.8,0.9]
precision
0.555556 [0.333333,0.666667]
precision
0.84 [0.6,1]
precision
0.546429 [0.428571,0.625]
precision
0.8 [0.8,0.8]
precision
0.66 [0.6,0.7]
precision
0.764286 [0.625,0.857143]
precision
0.733333 [0.6,0.8]
precision
0.6 [0.5,0.666667]
precision
0.846154 [1,0.769231]
precision
0.6 [0.5,0.666667]
precision
0.733333 [0.6,0.8]
predictive_accuracy
0.5
predictive_accuracy
0.75
predictive_accuracy
0.625
predictive_accuracy
0.8125
predictive_accuracy
0.8125
predictive_accuracy
0.625
predictive_accuracy
0.6875
predictive_accuracy
0.75
predictive_accuracy
0.8125
predictive_accuracy
0.625
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.666667
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
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0.8
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0.6
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0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
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0.733333
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
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
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predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.733333
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
prior_entropy
0.930817
recall
0.5 [0.333333,0.6]
recall
0.75 [0.333333,1]
recall
0.625 [0.333333,0.8]
recall
0.8125 [0.666667,0.9]
recall
0.8125 [0.666667,0.9]
recall
0.625 [0.5,0.7]
recall
0.6875 [0.5,0.8]
recall
0.75 [0.833333,0.7]
recall
0.8125 [0.666667,0.9]
recall
0.625 [0.166667,0.9]
recall
0.6 [0.4,0.7]
recall
0.6 [0.4,0.7]
recall
0.533333 [0.2,0.7]
recall
0.666667 [0.2,0.9]
recall
0.466667 [0.6,0.4]
recall
0.533333 [0.666667,0.444444]
recall
0.8 [0.6,0.9]
recall
0.8 [0.833333,0.777778]
recall
0.733333 [0.6,0.8]
recall
0.666667 [0.833333,0.555556]
recall
0.866667 [0.6,1]
recall
0.6 [0.4,0.7]
recall
0.666667 [0.2,0.9]
recall
0.6 [0.4,0.7]
recall
0.666667 [0.8,0.6]
recall
0.666667 [0.6,0.7]
recall
0.8 [0.4,1]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.8,0.8]
recall
0.8 [0.4,1]
recall
0.733333 [0.6,0.8]
recall
0.866667 [0.8,0.9]
recall
0.8 [0.6,0.9]
recall
0.6 [0.4,0.7]
recall
0.733333 [0.2,1]
recall
0.466667 [0,0.7]
recall
0.533333 [0.8,0.4]
recall
0.733333 [0.2,1]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.4,0.8]
recall
0.533333 [0,0.8]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.4,0.8]
recall
0.466667 [0,0.7]
recall
0.466667 [0.6,0.4]
recall
0.733333 [0.6,0.8]
recall
0.866667 [0.6,1]
recall
0.733333 [0.4,0.9]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0.2,0.9]
recall
0.733333 [0.6,0.8]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.6,0.8]
recall
0.8 [0.6,0.9]
recall
0.8 [0.6,0.9]
recall
0.933333 [0.8,1]
recall
0.733333 [0.2,1]
recall
0.8 [0.8,0.8]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.2,0.9]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.6,0.8]
recall
0.8 [0.8,0.8]
recall
0.933333 [1,0.9]
recall
0.666667 [0.4,0.8]
recall
0.6 [0.8,0.5]
recall
0.8 [0.4,1]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.4,0.9]
recall
0.666667 [0.2,0.9]
recall
0.8 [0.6,0.9]
recall
0.466667 [0.6,0.4]
recall
0.733333 [0.8,0.7]
recall
0.533333 [0.4,0.6]
recall
0.733333 [0.4,0.9]
recall
0.6 [0.2,0.8]
recall
0.533333 [0.2,0.7]
recall
0.733333 [0.4,0.9]
recall
0.866667 [0.6,1]
recall
0.866667 [0.6,1]
recall
0.666667 [0.4,0.8]
recall
0.866667 [0.6,1]
recall
0.733333 [0.2,1]
recall
0.666667 [0.2,0.9]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.2,1]
recall
0.866667 [0.8,0.9]
recall
0.6 [0.2,0.8]
recall
0.733333 [1,0.555556]
recall
0.533333 [0.5,0.555556]
recall
0.8 [0.666667,0.888889]
recall
0.666667 [0.5,0.777778]
recall
0.733333 [0.833333,0.666667]
recall
0.733333 [0.6,0.8]
recall
0.6 [0.5,0.666667]
recall
0.8 [0.4,1]
recall
0.6 [0.5,0.666667]
recall
0.733333 [0.6,0.8]
relative_absolute_error
0.965501
relative_absolute_error
0.714473
relative_absolute_error
1.069967
relative_absolute_error
0.770679
relative_absolute_error
0.8219
relative_absolute_error
0.968013
relative_absolute_error
0.872958
relative_absolute_error
0.823479
relative_absolute_error
0.760538
relative_absolute_error
0.930467
relative_absolute_error
0.91905
relative_absolute_error
0.973178
relative_absolute_error
0.988871
relative_absolute_error
0.865544
relative_absolute_error
1.037824
relative_absolute_error
1.061843
relative_absolute_error
0.852621
relative_absolute_error
0.862111
relative_absolute_error
0.977768
relative_absolute_error
0.915288
relative_absolute_error
0.788524
relative_absolute_error
1.056329
relative_absolute_error
0.819089
relative_absolute_error
0.974626
relative_absolute_error
0.904597
relative_absolute_error
0.867911
relative_absolute_error
0.891674
relative_absolute_error
0.862203
relative_absolute_error
0.85629
relative_absolute_error
0.775161
relative_absolute_error
0.807818
relative_absolute_error
0.90554
relative_absolute_error
0.748857
relative_absolute_error
0.932384
relative_absolute_error
0.86149
relative_absolute_error
0.92963
relative_absolute_error
0.984272
relative_absolute_error
0.86441
relative_absolute_error
0.913008
relative_absolute_error
0.812527
relative_absolute_error
0.92217
relative_absolute_error
0.717589
relative_absolute_error
0.883157
relative_absolute_error
0.864605
relative_absolute_error
1.019561
relative_absolute_error
0.991647
relative_absolute_error
0.845325
relative_absolute_error
0.700868
relative_absolute_error
0.896189
relative_absolute_error
0.994278
relative_absolute_error
0.80552
relative_absolute_error
0.949556
relative_absolute_error
0.90807
relative_absolute_error
0.802859
relative_absolute_error
0.822789
relative_absolute_error
0.844786
relative_absolute_error
0.875875
relative_absolute_error
0.816779
relative_absolute_error
0.927348
relative_absolute_error
0.872598
relative_absolute_error
0.878372
relative_absolute_error
0.920657
relative_absolute_error
0.819848
relative_absolute_error
1.011988
relative_absolute_error
0.730035
relative_absolute_error
0.814896
relative_absolute_error
0.924244
relative_absolute_error
0.971864
relative_absolute_error
0.727004
relative_absolute_error
0.720968
relative_absolute_error
0.914672
relative_absolute_error
0.848908
relative_absolute_error
0.712449
relative_absolute_error
1.130636
relative_absolute_error
0.908343
relative_absolute_error
0.94419
relative_absolute_error
0.940386
relative_absolute_error
0.959274
relative_absolute_error
0.978565
relative_absolute_error
0.894458
relative_absolute_error
0.743354
relative_absolute_error
0.69277
relative_absolute_error
0.886828
relative_absolute_error
0.830382
relative_absolute_error
0.845692
relative_absolute_error
0.811793
relative_absolute_error
0.863423
relative_absolute_error
0.974323
relative_absolute_error
0.920789
relative_absolute_error
0.948979
relative_absolute_error
0.860868
relative_absolute_error
0.896535
relative_absolute_error
0.816836
relative_absolute_error
0.849516
relative_absolute_error
0.893101
relative_absolute_error
0.872471
relative_absolute_error
0.924176
relative_absolute_error
0.793432
relative_absolute_error
0.966704
relative_absolute_error
0.879177
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.484967
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_prior_squared_error
0.492821
root_mean_prior_squared_error
0.471586
root_mean_squared_error
0.504414
root_mean_squared_error
0.413665
root_mean_squared_error
0.538082
root_mean_squared_error
0.401956
root_mean_squared_error
0.442963
root_mean_squared_error
0.491665
root_mean_squared_error
0.469959
root_mean_squared_error
0.42763
root_mean_squared_error
0.3999
root_mean_squared_error
0.478843
root_mean_squared_error
0.459871
root_mean_squared_error
0.464109
root_mean_squared_error
0.491056
root_mean_squared_error
0.446707
root_mean_squared_error
0.497252
root_mean_squared_error
0.551113
root_mean_squared_error
0.439679
root_mean_squared_error
0.446516
root_mean_squared_error
0.483449
root_mean_squared_error
0.482492
root_mean_squared_error
0.429991
root_mean_squared_error
0.536423
root_mean_squared_error
0.442205
root_mean_squared_error
0.476379
root_mean_squared_error
0.439011
root_mean_squared_error
0.425799
root_mean_squared_error
0.448227
root_mean_squared_error
0.441389
root_mean_squared_error
0.435679
root_mean_squared_error
0.382719
root_mean_squared_error
0.43522
root_mean_squared_error
0.42811
root_mean_squared_error
0.359293
root_mean_squared_error
0.444218
root_mean_squared_error
0.449249
root_mean_squared_error
0.487544
root_mean_squared_error
0.488518
root_mean_squared_error
0.474525
root_mean_squared_error
0.467563
root_mean_squared_error
0.423803
root_mean_squared_error
0.437085
root_mean_squared_error
0.406495
root_mean_squared_error
0.467337
root_mean_squared_error
0.469491
root_mean_squared_error
0.508768
root_mean_squared_error
0.465258
root_mean_squared_error
0.447258
root_mean_squared_error
0.363364
root_mean_squared_error
0.432469
root_mean_squared_error
0.497688
root_mean_squared_error
0.409007
root_mean_squared_error
0.48081
root_mean_squared_error
0.452395
root_mean_squared_error
0.410042
root_mean_squared_error
0.409595
root_mean_squared_error
0.410318
root_mean_squared_error
0.449538
root_mean_squared_error
0.39209
root_mean_squared_error
0.493536
root_mean_squared_error
0.445121
root_mean_squared_error
0.415694
root_mean_squared_error
0.458339
root_mean_squared_error
0.408089
root_mean_squared_error
0.491322
root_mean_squared_error
0.393332
root_mean_squared_error
0.390846
root_mean_squared_error
0.431242
root_mean_squared_error
0.454978
root_mean_squared_error
0.369128
root_mean_squared_error
0.378515
root_mean_squared_error
0.474286
root_mean_squared_error
0.422251
root_mean_squared_error
0.361803
root_mean_squared_error
0.548123
root_mean_squared_error
0.445444
root_mean_squared_error
0.46543
root_mean_squared_error
0.457294
root_mean_squared_error
0.475769
root_mean_squared_error
0.518963
root_mean_squared_error
0.456654
root_mean_squared_error
0.406152
root_mean_squared_error
0.357475
root_mean_squared_error
0.44054
root_mean_squared_error
0.400048
root_mean_squared_error
0.423673
root_mean_squared_error
0.458011
root_mean_squared_error
0.415018
root_mean_squared_error
0.469636
root_mean_squared_error
0.427932
root_mean_squared_error
0.497924
root_mean_squared_error
0.443983
root_mean_squared_error
0.45912
root_mean_squared_error
0.437604
root_mean_squared_error
0.483739
root_mean_squared_error
0.465619
root_mean_squared_error
0.44647
root_mean_squared_error
0.475044
root_mean_squared_error
0.402466
root_mean_squared_error
0.495895
root_mean_squared_error
0.432229
root_relative_squared_error
1.0401
root_relative_squared_error
0.852976
root_relative_squared_error
1.109524
root_relative_squared_error
0.828832
root_relative_squared_error
0.913388
root_relative_squared_error
1.013813
root_relative_squared_error
0.969054
root_relative_squared_error
0.881771
root_relative_squared_error
0.824592
root_relative_squared_error
0.987373
root_relative_squared_error
0.975159
root_relative_squared_error
0.984146
root_relative_squared_error
1.041286
root_relative_squared_error
0.947245
root_relative_squared_error
1.054426
root_relative_squared_error
1.118284
root_relative_squared_error
0.932341
root_relative_squared_error
0.906041
root_relative_squared_error
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