339849
2
Joaquin Vanschoren
4523
Supervised Classification
predictive_accuracy
1244
weka.FilteredClassifier_Discretize_J48(4)
2166
weka.classifiers.meta.FilteredClassifier -- -F "weka.filters.supervised.attribute.Discretize -R first-last -precision 6" -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
F
weka.filters.supervised.attribute.Discretize
1244
W
weka.classifiers.trees.J48
1244
R
first-last
1245
precision
6
1245
weka
weka_3.7.12
955
tae
https://www.openml.org/data/download/53489/tae.arff
-1
1166493
description
https://api.openml.org/data/download/1166493/weka_generated_run6263079827474280531.xml
-1
1166496
model_readable
https://api.openml.org/data/download/1166496/WekaModel_weka.classifiers.meta.FilteredClassifier6788502288397694648.model
-1
1166495
model_serialized
https://api.openml.org/data/download/1166495/WekaSerialized_weka.classifiers.meta.FilteredClassifier4340283339503717691.model
-1
1166494
predictions
https://api.openml.org/data/download/1166494/weka_generated_predictions2057600727004635545.arff
area_under_roc_curve
0.602528 [0.602528,0.602528]
average_cost
0
f_measure
0.694723 [0.515284,0.788973]
kappa
0.309764
kb_relative_information_score
185.649805
mean_absolute_error
0.402487
mean_prior_absolute_error
0.452192
number_of_instances
1510 [520,990]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.693716 [0.59596,0.745063]
predictive_accuracy
0.70596
prior_entropy
0.930817
recall
0.70596 [0.453846,0.838384]
relative_absolute_error
0.89008
root_mean_prior_squared_error
0.475167
root_mean_squared_error
0.457937
root_relative_squared_error
0.96374
scimark_benchmark
1309.470782 [816.9745422909959, 969.5371342043437, 531.8186209003572, 1063.0333204739406, 3165.9902944059377]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.433333 [0.433333,0.433333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.633333 [0.633333,0.633333]
area_under_roc_curve
0.766667 [0.766667,0.766667]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.616667 [0.616667,0.616667]
area_under_roc_curve
0.566667 [0.566667,0.566667]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.608333 [0.608333,0.608333]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.57 [0.57,0.57]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.527778 [0.527778,0.527778]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.62037 [0.62037,0.62037]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.509259 [0.509259,0.509259]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.49 [0.49,0.49]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.66 [0.66,0.66]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.48 [0.48,0.48]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.59 [0.59,0.59]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.83 [0.83,0.83]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.62 [0.62,0.62]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.96 [0.96,0.96]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.73 [0.73,0.73]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.58 [0.58,0.58]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.86 [0.86,0.86]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.7 [0.7,0.7]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.63 [0.63,0.63]
area_under_roc_curve
0.55 [0.55,0.55]
area_under_roc_curve
0.53 [0.53,0.53]
area_under_roc_curve
0.56 [0.56,0.56]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.53 [0.53,0.53]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.64 [0.64,0.64]
area_under_roc_curve
0.65 [0.65,0.65]
area_under_roc_curve
0.74 [0.74,0.74]
area_under_roc_curve
0.73 [0.73,0.73]
area_under_roc_curve
0.54 [0.54,0.54]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.45 [0.45,0.45]
area_under_roc_curve
0.76 [0.76,0.76]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.6 [0.6,0.6]
area_under_roc_curve
0.685185 [0.685185,0.685185]
area_under_roc_curve
0.842593 [0.842593,0.842593]
area_under_roc_curve
0.685185 [0.685185,0.685185]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.787037 [0.787037,0.787037]
area_under_roc_curve
0.69 [0.69,0.69]
area_under_roc_curve
0.759259 [0.759259,0.759259]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.611111 [0.611111,0.611111]
area_under_roc_curve
0.68 [0.68,0.68]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
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0
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0
average_cost
0
average_cost
0
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0
average_cost
0
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
0
average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
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average_cost
0
average_cost
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average_cost
0
average_cost
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average_cost
0
average_cost
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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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average_cost
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average_cost
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average_cost
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average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.472727 [0.2,0.636364]
f_measure
0.480769 [0,0.769231]
f_measure
0.691296 [0.615385,0.736842]
f_measure
0.808442 [0.727273,0.857143]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.680736 [0.545455,0.761905]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.691296 [0.615385,0.736842]
f_measure
0.655797 [0.444444,0.782609]
f_measure
0.604545 [0.4,0.727273]
f_measure
0.6 [0.4,0.7]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.47619 [0.428571,0.5]
f_measure
0.537557 [0.461538,0.588235]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.660287 [0.545455,0.736842]
f_measure
0.611111 [0.5,0.666667]
f_measure
0.533333 [0.533333,0.533333]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.733333 [0.6,0.8]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.673046 [0.545455,0.736842]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.6 [0.4,0.7]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.866667 [0.8,0.9]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.675716 [0.615385,0.705882]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.616977 [0.285714,0.782609]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.6 [0.4,0.7]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.616977 [0.285714,0.782609]
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
0.666667 [0.333333,0.833333]
f_measure
0.856061 [0.75,0.909091]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.934609 [0.909091,0.947368]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.866667 [0.8,0.9]
f_measure
0.740741 [0.666667,0.777778]
f_measure
0.770186 [0.571429,0.869565]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.866667 [0.8,0.9]
f_measure
0.656085 [0.444444,0.761905]
f_measure
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f_measure
0.770186 [0.571429,0.869565]
f_measure
0.770186 [0.571429,0.869565]
f_measure
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f_measure
0.712121 [0.5,0.818182]
f_measure
0.616977 [0.285714,0.782609]
f_measure
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f_measure
0.656085 [0.444444,0.761905]
f_measure
0.656085 [0.444444,0.761905]
f_measure
0.6 [0.4,0.7]
f_measure
0.568182 [0.25,0.727273]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.712121 [0.5,0.818182]
f_measure
0.793651 [0.666667,0.857143]
f_measure
0.793651 [0.666667,0.857143]
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
0.793651 [0.666667,0.857143]
f_measure
0.666667 [0.333333,0.833333]
f_measure
0.803828 [0.727273,0.842105]
f_measure
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f_measure
0.733333 [0.666667,0.777778]
f_measure
0.866667 [0.833333,0.888889]
f_measure
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f_measure
0.45 [0,0.75]
f_measure
0.80181 [0.769231,0.823529]
f_measure
0.733333 [0.6,0.8]
f_measure
0.796172 [0.727273,0.842105]
f_measure
0.803828 [0.727273,0.842105]
f_measure
0.634921 [0.444444,0.761905]
f_measure
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kappa
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kappa
0
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.594595
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kappa
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.012111
kb_relative_information_score
1.933159
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kb_relative_information_score
2.067482
kb_relative_information_score
2.25036
kb_relative_information_score
0.877248
kb_relative_information_score
0.129449
kb_relative_information_score
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kb_relative_information_score
1.208323
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
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
2.424925
kb_relative_information_score
0.121465
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
1.246771
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.371361
kb_relative_information_score
0.674637
kb_relative_information_score
1.10622
kb_relative_information_score
2.417365
kb_relative_information_score
4.431963
kb_relative_information_score
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kb_relative_information_score
2.473294
kb_relative_information_score
1.359713
kb_relative_information_score
4.296171
kb_relative_information_score
1.359713
kb_relative_information_score
0.356168
kb_relative_information_score
4.362243
kb_relative_information_score
3.104526
kb_relative_information_score
1.359713
kb_relative_information_score
3.220234
kb_relative_information_score
0.045648
kb_relative_information_score
2.399589
kb_relative_information_score
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kb_relative_information_score
0.52325
kb_relative_information_score
3.458864
kb_relative_information_score
2.399589
kb_relative_information_score
1.119731
kb_relative_information_score
0.674637
kb_relative_information_score
1.359713
kb_relative_information_score
0.977156
kb_relative_information_score
1.302285
kb_relative_information_score
2.494192
kb_relative_information_score
4.431963
kb_relative_information_score
1.302285
kb_relative_information_score
5.186054
kb_relative_information_score
2.494192
kb_relative_information_score
3.458864
kb_relative_information_score
4.383498
kb_relative_information_score
2.22337
kb_relative_information_score
3.371471
kb_relative_information_score
1.208323
kb_relative_information_score
3.304585
kb_relative_information_score
4.235396
kb_relative_information_score
1.302285
kb_relative_information_score
1.246771
kb_relative_information_score
3.516383
kb_relative_information_score
3.516383
kb_relative_information_score
2.424925
kb_relative_information_score
2.191422
kb_relative_information_score
0.674637
kb_relative_information_score
-0.012846
kb_relative_information_score
0.52325
kb_relative_information_score
0.634964
kb_relative_information_score
0.010818
kb_relative_information_score
0.015747
kb_relative_information_score
2.424925
kb_relative_information_score
2.35499
kb_relative_information_score
3.489922
kb_relative_information_score
3.141815
kb_relative_information_score
-0.089213
kb_relative_information_score
1.719283
kb_relative_information_score
1.798261
kb_relative_information_score
0.195041
kb_relative_information_score
3.440886
kb_relative_information_score
2.494192
kb_relative_information_score
3.304585
kb_relative_information_score
1.302285
kb_relative_information_score
2.862253
kb_relative_information_score
4.920068
kb_relative_information_score
2.862253
kb_relative_information_score
0.486364
kb_relative_information_score
4.135575
kb_relative_information_score
2.358005
kb_relative_information_score
3.973488
kb_relative_information_score
3.407098
kb_relative_information_score
1.552863
kb_relative_information_score
2.263402
mean_absolute_error
0.484375
mean_absolute_error
0.444197
mean_absolute_error
0.416351
mean_absolute_error
0.367359
mean_absolute_error
0.432091
mean_absolute_error
0.413825
mean_absolute_error
0.446121
mean_absolute_error
0.410836
mean_absolute_error
0.405618
mean_absolute_error
0.435536
mean_absolute_error
0.435303
mean_absolute_error
0.414193
mean_absolute_error
0.411499
mean_absolute_error
0.382576
mean_absolute_error
0.513399
mean_absolute_error
0.473778
mean_absolute_error
0.363626
mean_absolute_error
0.421268
mean_absolute_error
0.439111
mean_absolute_error
0.484278
mean_absolute_error
0.383974
mean_absolute_error
0.435256
mean_absolute_error
0.437121
mean_absolute_error
0.425076
mean_absolute_error
0.399803
mean_absolute_error
0.410774
mean_absolute_error
0.43953
mean_absolute_error
0.383974
mean_absolute_error
0.434946
mean_absolute_error
0.428986
mean_absolute_error
0.413876
mean_absolute_error
0.384889
mean_absolute_error
0.341073
mean_absolute_error
0.439864
mean_absolute_error
0.382219
mean_absolute_error
0.407018
mean_absolute_error
0.345142
mean_absolute_error
0.407018
mean_absolute_error
0.435787
mean_absolute_error
0.342857
mean_absolute_error
0.371465
mean_absolute_error
0.407018
mean_absolute_error
0.367329
mean_absolute_error
0.437642
mean_absolute_error
0.384098
mean_absolute_error
0.363626
mean_absolute_error
0.430099
mean_absolute_error
0.361935
mean_absolute_error
0.384098
mean_absolute_error
0.414063
mean_absolute_error
0.428986
mean_absolute_error
0.407018
mean_absolute_error
0.418225
mean_absolute_error
0.408935
mean_absolute_error
0.381669
mean_absolute_error
0.341073
mean_absolute_error
0.408935
mean_absolute_error
0.327156
mean_absolute_error
0.381669
mean_absolute_error
0.361935
mean_absolute_error
0.34292
mean_absolute_error
0.390118
mean_absolute_error
0.363626
mean_absolute_error
0.411499
mean_absolute_error
0.366465
mean_absolute_error
0.346521
mean_absolute_error
0.408935
mean_absolute_error
0.410774
mean_absolute_error
0.359902
mean_absolute_error
0.359902
mean_absolute_error
0.383974
mean_absolute_error
0.39008
mean_absolute_error
0.428986
mean_absolute_error
0.439351
mean_absolute_error
0.430099
mean_absolute_error
0.430199
mean_absolute_error
0.438652
mean_absolute_error
0.438333
mean_absolute_error
0.383974
mean_absolute_error
0.385784
mean_absolute_error
0.361086
mean_absolute_error
0.369912
mean_absolute_error
0.441682
mean_absolute_error
0.406699
mean_absolute_error
0.403968
mean_absolute_error
0.432928
mean_absolute_error
0.362346
mean_absolute_error
0.381669
mean_absolute_error
0.366465
mean_absolute_error
0.408935
mean_absolute_error
0.399663
mean_absolute_error
0.355353
mean_absolute_error
0.399663
mean_absolute_error
0.454867
mean_absolute_error
0.371129
mean_absolute_error
0.386185
mean_absolute_error
0.375074
mean_absolute_error
0.363772
mean_absolute_error
0.431702
mean_absolute_error
0.388614
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
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
0.448802
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
0.448802
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]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
number_of_instances
16 [6,10]
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 [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]
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 [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
0.458333 [0.25,0.583333]
precision
0.390625 [0,0.625]
precision
0.700397 [0.571429,0.777778]
precision
0.811364 [0.8,0.818182]
precision
0.604167 [0.5,0.666667]
precision
0.679545 [0.6,0.727273]
precision
0.604167 [0.5,0.666667]
precision
0.700397 [0.571429,0.777778]
precision
0.682692 [0.666667,0.692308]
precision
0.604167 [0.5,0.666667]
precision
0.6 [0.4,0.7]
precision
0.685185 [0.5,0.777778]
precision
0.651515 [0.5,0.727273]
precision
0.722222 [0.666667,0.75]
precision
0.555556 [0.333333,0.666667]
precision
0.546429 [0.428571,0.625]
precision
0.846154 [1,0.769231]
precision
0.66 [0.6,0.7]
precision
0.642857 [0.428571,0.75]
precision
0.577778 [0.444444,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.628205 [0.5,0.692308]
precision
0.733333 [0.6,0.8]
precision
0.685185 [0.5,0.777778]
precision
0.555556 [0.333333,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.685185 [0.5,0.777778]
precision
0.628205 [0.5,0.692308]
precision
0.628205 [0.5,0.692308]
precision
0.77381 [0.571429,0.875]
precision
0.888889 [1,0.833333]
precision
0.6 [0.4,0.7]
precision
0.809524 [1,0.714286]
precision
0.628205 [0.5,0.692308]
precision
0.866667 [0.8,0.9]
precision
0.628205 [0.5,0.692308]
precision
0.738095 [0.5,0.857143]
precision
0.888889 [1,0.833333]
precision
0.814815 [0.666667,0.888889]
precision
0.628205 [0.5,0.692308]
precision
0.846154 [1,0.769231]
precision
0.6 [0.4,0.7]
precision
0.809524 [1,0.714286]
precision
0.846154 [1,0.769231]
precision
0.651515 [0.5,0.727273]
precision
0.795455 [0.75,0.818182]
precision
0.809524 [1,0.714286]
precision
0.651515 [0.5,0.727273]
precision
0.628205 [0.5,0.692308]
precision
0.628205 [0.5,0.692308]
precision
0.685185 [0.5,0.777778]
precision
0.651515 [0.5,0.727273]
precision
0.809524 [1,0.714286]
precision
0.888889 [1,0.833333]
precision
0.651515 [0.5,0.727273]
precision
0.944444 [0.833333,1]
precision
0.809524 [1,0.714286]
precision
0.795455 [0.75,0.818182]
precision
0.866667 [0.8,0.9]
precision
0.77381 [0.571429,0.875]
precision
0.846154 [1,0.769231]
precision
0.651515 [0.5,0.727273]
precision
0.814815 [0.666667,0.888889]
precision
0.866667 [0.8,0.9]
precision
0.651515 [0.5,0.727273]
precision
0.685185 [0.5,0.777778]
precision
0.846154 [1,0.769231]
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
0.6 [0.4,0.7]
precision
0.651515 [0.5,0.727273]
precision
0.651515 [0.5,0.727273]
precision
0.6 [0.4,0.7]
precision
0.555556 [0.333333,0.666667]
precision
0.722222 [0.666667,0.75]
precision
0.722222 [0.666667,0.75]
precision
0.795455 [0.75,0.818182]
precision
0.795455 [0.75,0.818182]
precision
0.6 [0.4,0.7]
precision
0.809524 [1,0.714286]
precision
0.809524 [1,0.714286]
precision
0.428571 [0,0.642857]
precision
0.795455 [0.75,0.818182]
precision
0.809524 [1,0.714286]
precision
0.814815 [0.666667,0.888889]
precision
0.651515 [0.5,0.727273]
precision
0.733333 [0.666667,0.777778]
precision
0.866667 [0.833333,0.888889]
precision
0.733333 [0.666667,0.777778]
precision
0.36 [0,0.6]
precision
0.810714 [0.714286,0.875]
precision
0.733333 [0.6,0.8]
precision
0.8 [0.8,0.8]
precision
0.814815 [0.666667,0.888889]
precision
0.666667 [0.666667,0.666667]
precision
0.733333 [0.6,0.8]
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.6875
predictive_accuracy
0.8125
predictive_accuracy
0.625
predictive_accuracy
0.6875
predictive_accuracy
0.625
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.625
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.666667
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 [0.166667,0.7]
recall
0.625 [0,1]
recall
0.6875 [0.666667,0.7]
recall
0.8125 [0.666667,0.9]
recall
0.625 [0.333333,0.8]
recall
0.6875 [0.5,0.8]
recall
0.625 [0.333333,0.8]
recall
0.6875 [0.666667,0.7]
recall
0.6875 [0.333333,0.9]
recall
0.625 [0.333333,0.8]
recall
0.6 [0.4,0.7]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.4,0.9]
recall
0.466667 [0.6,0.4]
recall
0.533333 [0.5,0.555556]
recall
0.8 [0.4,1]
recall
0.666667 [0.5,0.777778]
recall
0.6 [0.6,0.6]
recall
0.533333 [0.666667,0.444444]
recall
0.733333 [0.4,0.9]
recall
0.6 [0.2,0.8]
recall
0.6 [0.2,0.8]
recall
0.666667 [0.2,0.9]
recall
0.733333 [0.6,0.8]
recall
0.666667 [0.6,0.7]
recall
0.6 [0.2,0.8]
recall
0.733333 [0.4,0.9]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.2,0.9]
recall
0.733333 [0.8,0.7]
recall
0.866667 [0.6,1]
recall
0.6 [0.4,0.7]
recall
0.733333 [0.2,1]
recall
0.666667 [0.2,0.9]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.8,0.6]
recall
0.866667 [0.6,1]
recall
0.8 [0.8,0.8]
recall
0.666667 [0.2,0.9]
recall
0.8 [0.4,1]
recall
0.6 [0.4,0.7]
recall
0.733333 [0.2,1]
recall
0.8 [0.4,1]
recall
0.666667 [0.4,0.8]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.2,1]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.2,0.9]
recall
0.666667 [0.6,0.7]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.2,1]
recall
0.866667 [0.6,1]
recall
0.666667 [0.4,0.8]
recall
0.933333 [1,0.9]
recall
0.733333 [0.2,1]
recall
0.8 [0.6,0.9]
recall
0.866667 [0.8,0.9]
recall
0.733333 [0.8,0.7]
recall
0.8 [0.4,1]
recall
0.666667 [0.4,0.8]
recall
0.8 [0.8,0.8]
recall
0.866667 [0.8,0.9]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0.6,0.7]
recall
0.8 [0.4,1]
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
0.6 [0.4,0.7]
recall
0.666667 [0.4,0.8]
recall
0.666667 [0.4,0.8]
recall
0.6 [0.4,0.7]
recall
0.6 [0.2,0.8]
recall
0.733333 [0.4,0.9]
recall
0.733333 [0.4,0.9]
recall
0.8 [0.6,0.9]
recall
0.8 [0.6,0.9]
recall
0.6 [0.4,0.7]
recall
0.733333 [0.2,1]
recall
0.733333 [0.2,1]
recall
0.6 [0,0.9]
recall
0.8 [0.6,0.9]
recall
0.733333 [0.2,1]
recall
0.8 [0.8,0.8]
recall
0.666667 [0.4,0.8]
recall
0.733333 [0.666667,0.777778]
recall
0.866667 [0.833333,0.888889]
recall
0.733333 [0.666667,0.777778]
recall
0.6 [0,1]
recall
0.8 [0.833333,0.777778]
recall
0.733333 [0.6,0.8]
recall
0.8 [0.666667,0.888889]
recall
0.8 [0.8,0.8]
recall
0.666667 [0.333333,0.888889]
recall
0.733333 [0.6,0.8]
relative_absolute_error
1.049336
relative_absolute_error
0.962295
relative_absolute_error
0.901971
relative_absolute_error
0.795836
relative_absolute_error
0.93607
relative_absolute_error
0.896499
relative_absolute_error
0.966463
relative_absolute_error
0.890024
relative_absolute_error
0.878718
relative_absolute_error
0.943534
relative_absolute_error
0.969922
relative_absolute_error
0.922887
relative_absolute_error
0.916883
relative_absolute_error
0.852438
relative_absolute_error
1.143932
relative_absolute_error
1.009582
relative_absolute_error
0.810215
relative_absolute_error
0.897687
relative_absolute_error
0.978408
relative_absolute_error
1.031957
relative_absolute_error
0.855555
relative_absolute_error
0.969819
relative_absolute_error
0.973974
relative_absolute_error
0.947136
relative_absolute_error
0.890824
relative_absolute_error
0.915269
relative_absolute_error
0.979341
relative_absolute_error
0.855555
relative_absolute_error
0.969127
relative_absolute_error
0.955847
relative_absolute_error
0.922179
relative_absolute_error
0.857592
relative_absolute_error
0.759963
relative_absolute_error
0.980085
relative_absolute_error
0.851643
relative_absolute_error
0.906899
relative_absolute_error
0.76903
relative_absolute_error
0.906899
relative_absolute_error
0.971001
relative_absolute_error
0.763939
relative_absolute_error
0.827681
relative_absolute_error
0.906899
relative_absolute_error
0.818467
relative_absolute_error
0.975134
relative_absolute_error
0.855831
relative_absolute_error
0.810215
relative_absolute_error
0.958327
relative_absolute_error
0.806447
relative_absolute_error
0.855831
relative_absolute_error
0.922596
relative_absolute_error
0.955847
relative_absolute_error
0.906899
relative_absolute_error
0.931871
relative_absolute_error
0.91117
relative_absolute_error
0.850418
relative_absolute_error
0.759963
relative_absolute_error
0.91117
relative_absolute_error
0.728955
relative_absolute_error
0.850418
relative_absolute_error
0.806447
relative_absolute_error
0.764079
relative_absolute_error
0.869243
relative_absolute_error
0.810215
relative_absolute_error
0.916883
relative_absolute_error
0.81654
relative_absolute_error
0.772103
relative_absolute_error
0.91117
relative_absolute_error
0.915269
relative_absolute_error
0.801917
relative_absolute_error
0.801917
relative_absolute_error
0.855555
relative_absolute_error
0.869158
relative_absolute_error
0.955847
relative_absolute_error
0.978943
relative_absolute_error
0.958327
relative_absolute_error
0.958551
relative_absolute_error
0.977384
relative_absolute_error
0.976675
relative_absolute_error
0.855555
relative_absolute_error
0.859588
relative_absolute_error
0.804555
relative_absolute_error
0.824221
relative_absolute_error
0.984137
relative_absolute_error
0.906188
relative_absolute_error
0.900104
relative_absolute_error
0.964631
relative_absolute_error
0.807363
relative_absolute_error
0.850418
relative_absolute_error
0.81654
relative_absolute_error
0.91117
relative_absolute_error
0.85165
relative_absolute_error
0.75723
relative_absolute_error
0.85165
relative_absolute_error
0.969285
relative_absolute_error
0.790846
relative_absolute_error
0.860481
relative_absolute_error
0.799253
relative_absolute_error
0.810541
relative_absolute_error
0.919921
relative_absolute_error
0.865893
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
0.552378
root_mean_squared_error
0.493985
root_mean_squared_error
0.464977
root_mean_squared_error
0.410166
root_mean_squared_error
0.496676
root_mean_squared_error
0.469514
root_mean_squared_error
0.489326
root_mean_squared_error
0.459438
root_mean_squared_error
0.470927
root_mean_squared_error
0.498386
root_mean_squared_error
0.496094
root_mean_squared_error
0.466187
root_mean_squared_error
0.471013
root_mean_squared_error
0.44156
root_mean_squared_error
0.575362
root_mean_squared_error
0.527782
root_mean_squared_error
0.420708
root_mean_squared_error
0.480974
root_mean_squared_error
0.490871
root_mean_squared_error
0.538328
root_mean_squared_error
0.442474
root_mean_squared_error
0.503261
root_mean_squared_error
0.504234
root_mean_squared_error
0.470215
root_mean_squared_error
0.452924
root_mean_squared_error
0.461189
root_mean_squared_error
0.507348
root_mean_squared_error
0.442474
root_mean_squared_error
0.493261
root_mean_squared_error
0.471195
root_mean_squared_error
0.483665
root_mean_squared_error
0.427132
root_mean_squared_error
0.383871
root_mean_squared_error
0.500114
root_mean_squared_error
0.452094
root_mean_squared_error
0.477659
root_mean_squared_error
0.376982
root_mean_squared_error
0.476125
root_mean_squared_error
0.483645
root_mean_squared_error
0.385748
root_mean_squared_error
0.407452
root_mean_squared_error
0.476125
root_mean_squared_error
0.424481
root_mean_squared_error
0.497499
root_mean_squared_error
0.453783
root_mean_squared_error
0.420708
root_mean_squared_error
0.49129
root_mean_squared_error
0.407634
root_mean_squared_error
0.453783
root_mean_squared_error
0.473206
root_mean_squared_error
0.471195
root_mean_squared_error
0.476125
root_mean_squared_error
0.469865
root_mean_squared_error
0.467993
root_mean_squared_error
0.451621
root_mean_squared_error
0.383871
root_mean_squared_error
0.468628
root_mean_squared_error
0.342206
root_mean_squared_error
0.451621
root_mean_squared_error
0.407634
root_mean_squared_error
0.373977
root_mean_squared_error
0.432177
root_mean_squared_error
0.420708
root_mean_squared_error
0.471013
root_mean_squared_error
0.403289
root_mean_squared_error
0.377077
root_mean_squared_error
0.467862
root_mean_squared_error
0.461189
root_mean_squared_error
0.41713
root_mean_squared_error
0.41713
root_mean_squared_error
0.442474
root_mean_squared_error
0.448382
root_mean_squared_error
0.471195
root_mean_squared_error
0.497642
root_mean_squared_error
0.49129
root_mean_squared_error
0.470536
root_mean_squared_error
0.495607
root_mean_squared_error
0.509524
root_mean_squared_error
0.442474
root_mean_squared_error
0.442744
root_mean_squared_error
0.407738
root_mean_squared_error
0.41798
root_mean_squared_error
0.504834
root_mean_squared_error
0.446436
root_mean_squared_error
0.448134
root_mean_squared_error
0.511167
root_mean_squared_error
0.407214
root_mean_squared_error
0.451621
root_mean_squared_error
0.403289
root_mean_squared_error
0.468628
root_mean_squared_error
0.445877
root_mean_squared_error
0.385685
root_mean_squared_error
0.445877
root_mean_squared_error
0.505758
root_mean_squared_error
0.407736
root_mean_squared_error
0.435289
root_mean_squared_error
0.419032
root_mean_squared_error
0.399594
root_mean_squared_error
0.475065
root_mean_squared_error
0.441592
root_relative_squared_error
1.139002
root_relative_squared_error
1.018595
root_relative_squared_error
0.958781
root_relative_squared_error
0.845761
root_relative_squared_error
1.024145
root_relative_squared_error
0.968136
root_relative_squared_error
1.008989
root_relative_squared_error
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