366024
2
Joaquin Vanschoren
4654
Supervised Classification
predictive_accuracy
1080
weka.NBTree(3)
1850
weka.classifiers.trees.NBTree
weka
weka_3.7.12
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
-1
1268153
description
https://api.openml.org/data/download/1268153/weka_generated_run3309966226588386668.xml
-1
1268156
model_readable
https://api.openml.org/data/download/1268156/WekaModel_weka.classifiers.trees.NBTree3796555704442406369.model
-1
1268155
model_serialized
https://api.openml.org/data/download/1268155/WekaSerialized_weka.classifiers.trees.NBTree6715192746449586493.model
-1
1268154
predictions
https://api.openml.org/data/download/1268154/weka_generated_predictions5517102955777430748.arff
area_under_roc_curve
0.947364 [0.950359,0.944575,0.947222]
average_cost
0
f_measure
0.861715 [0.871413,0.854527,0.859489]
kappa
0.792114
kb_relative_information_score
1061.641516
mean_absolute_error
0.159971
mean_prior_absolute_error
0.444311
number_of_instances
1510 [490,500,520]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.864533 [0.909091,0.869565,0.817708]
predictive_accuracy
0.861589
prior_entropy
1.584538
recall
0.861589 [0.836735,0.84,0.905769]
relative_absolute_error
0.360043
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.27347
root_relative_squared_error
0.580206
scimark_benchmark
1331.795299 [672.1543817994253, 1019.0137360965384, 524.8004995102859, 1077.0090318677676, 3365.9988441781206]
total_cost
0
usercpu_time_millis
60
usercpu_time_millis_testing
0
usercpu_time_millis_training
60
area_under_roc_curve
0.97017 [1,0.954545,0.958333]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.909659 [1,0.890909,0.85]
area_under_roc_curve
0.897159 [0.872727,0.818182,0.983333]
area_under_roc_curve
0.886932 [0.890909,0.927273,0.85]
area_under_roc_curve
0.9375 [0.854545,0.945455,1]
area_under_roc_curve
0.872727 [0.763636,0.909091,0.933333]
area_under_roc_curve
0.864205 [0.927273,0.818182,0.85]
area_under_roc_curve
0.964205 [1,0.945455,0.95]
area_under_roc_curve
0.964773 [1,0.927273,0.966667]
area_under_roc_curve
0.88 [0.82,0.86,0.96]
area_under_roc_curve
0.965657 [0.954545,1,0.944444]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.881212 [0.954545,0.88,0.833333]
area_under_roc_curve
0.980471 [0.954545,1,0.981481]
area_under_roc_curve
0.873333 [0.86,0.98,0.78]
area_under_roc_curve
0.993939 [0.977273,1,1]
area_under_roc_curve
0.873333 [1,0.7,0.92]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.903973 [0.795455,0.92,0.962963]
area_under_roc_curve
0.98 [0.96,1,0.98]
area_under_roc_curve
0.92 [0.86,0.94,0.96]
area_under_roc_curve
0.893333 [1,0.88,0.8]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
0.913333 [0.92,1,0.82]
area_under_roc_curve
0.793333 [0.82,0.73,0.83]
area_under_roc_curve
0.933333 [0.94,0.98,0.88]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.893333 [0.96,0.86,0.86]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.853333 [0.92,0.78,0.86]
area_under_roc_curve
0.806667 [0.9,0.74,0.78]
area_under_roc_curve
0.9 [0.88,0.86,0.96]
area_under_roc_curve
0.993333 [1,1,0.98]
area_under_roc_curve
0.92 [0.98,0.86,0.92]
area_under_roc_curve
0.906667 [1,0.8,0.92]
area_under_roc_curve
0.946667 [0.92,0.98,0.94]
area_under_roc_curve
0.966667 [0.94,0.96,1]
area_under_roc_curve
0.94 [0.92,1,0.9]
area_under_roc_curve
0.986667 [1,0.96,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9 [1,0.8,0.9]
area_under_roc_curve
0.98 [1,0.98,0.96]
area_under_roc_curve
0.966667 [0.91,0.99,1]
area_under_roc_curve
0.9 [1,0.84,0.86]
area_under_roc_curve
0.966667 [0.96,0.98,0.96]
area_under_roc_curve
0.906667 [1,0.9,0.82]
area_under_roc_curve
0.973333 [0.94,0.98,1]
area_under_roc_curve
0.966667 [1,0.96,0.94]
area_under_roc_curve
0.9 [0.88,0.9,0.92]
area_under_roc_curve
0.913333 [0.98,0.84,0.92]
area_under_roc_curve
0.953333 [1,0.88,0.98]
area_under_roc_curve
0.993333 [1,1,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.966667 [0.96,0.96,0.98]
area_under_roc_curve
0.98 [0.96,0.98,1]
area_under_roc_curve
0.993333 [1,1,0.98]
area_under_roc_curve
0.933333 [0.94,0.98,0.88]
area_under_roc_curve
0.946667 [0.93,0.91,1]
area_under_roc_curve
0.893333 [1,0.9,0.78]
area_under_roc_curve
0.966667 [1,0.94,0.96]
area_under_roc_curve
0.986667 [0.96,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.853333 [0.9,0.82,0.84]
area_under_roc_curve
0.946667 [0.96,0.92,0.96]
area_under_roc_curve
0.94 [0.9,0.92,1]
area_under_roc_curve
0.993333 [0.98,1,1]
area_under_roc_curve
0.953333 [0.96,0.94,0.96]
area_under_roc_curve
0.98 [1,0.96,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.946667 [0.94,0.98,0.92]
area_under_roc_curve
0.906667 [0.88,0.96,0.88]
area_under_roc_curve
0.926667 [0.93,0.89,0.96]
area_under_roc_curve
0.913333 [0.88,1,0.86]
area_under_roc_curve
0.953333 [1,0.86,1]
area_under_roc_curve
0.9 [0.82,0.92,0.96]
area_under_roc_curve
0.953333 [0.96,0.96,0.94]
area_under_roc_curve
0.98 [1,0.98,0.96]
area_under_roc_curve
0.9 [0.84,0.9,0.96]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.946667 [0.9,0.94,1]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
0.96 [0.96,1,0.92]
area_under_roc_curve
0.986667 [1,0.96,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.966667 [0.94,1,0.96]
area_under_roc_curve
0.886667 [0.84,0.86,0.96]
area_under_roc_curve
0.98 [0.98,1,0.96]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.993939 [0.977273,1,1]
area_under_roc_curve
0.946667 [0.94,0.9,1]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
0.993939 [0.977273,1,1]
area_under_roc_curve
0.78 [0.66,0.9,0.78]
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
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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
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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
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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
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
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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
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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
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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
f_measure
0.86462 [0.909091,0.75,0.923077]
f_measure
0.936432 [0.888889,1,0.923077]
f_measure
0.875 [1,0.8,0.833333]
f_measure
0.818182 [0.8,0.727273,0.909091]
f_measure
0.669362 [0.5,0.769231,0.727273]
f_measure
0.879104 [0.888889,0.833333,0.909091]
f_measure
0.727679 [0.5,0.8,0.857143]
f_measure
0.806818 [0.909091,0.8,0.727273]
f_measure
0.875 [1,0.8,0.833333]
f_measure
0.868304 [1,0.75,0.857143]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.934007 [0.888889,1,0.909091]
f_measure
0.934007 [0.888889,1,0.909091]
f_measure
0.794729 [0.888889,0.75,0.769231]
f_measure
0.931136 [0.857143,1,0.923077]
f_measure
0.79798 [0.666667,1,0.727273]
f_measure
0.792857 [0.75,0.75,0.857143]
f_measure
0.79798 [1,0.666667,0.727273]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
0.8 [0.75,0.8,0.833333]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.796296 [0.666667,0.833333,0.888889]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
1 [1,1,1]
f_measure
0.856061 [0.909091,0.75,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.79798 [0.727273,1,0.666667]
f_measure
0.731313 [0.8,0.666667,0.727273]
f_measure
0.87037 [0.833333,0.888889,0.888889]
f_measure
1 [1,1,1]
f_measure
0.795455 [0.909091,0.75,0.727273]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.771284 [0.571429,0.909091,0.833333]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.796296 [0.888889,0.666667,0.833333]
f_measure
0.666667 [0.666667,0.666667,0.666667]
f_measure
0.805387 [0.888889,0.727273,0.8]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.713553 [0.8,0.571429,0.769231]
f_measure
0.79798 [1,0.666667,0.727273]
f_measure
0.794444 [0.75,0.833333,0.8]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
1 [1,1,1]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.856061 [0.75,0.909091,0.909091]
f_measure
0.78022 [1,0.571429,0.769231]
f_measure
0.728632 [0.75,0.769231,0.666667]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.861111 [1,0.75,0.833333]
f_measure
0.651515 [0.5,0.727273,0.727273]
f_measure
0.802707 [0.888889,0.75,0.769231]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.861111 [1,0.75,0.833333]
f_measure
1 [1,1,1]
f_measure
0.805387 [0.888889,0.727273,0.8]
f_measure
0.791919 [0.666667,0.8,0.909091]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.802707 [0.888889,0.75,0.769231]
f_measure
0.856061 [0.75,0.909091,0.909091]
f_measure
0.722222 [0.833333,0.666667,0.666667]
f_measure
0.865993 [0.909091,0.888889,0.8]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.740741 [0.888889,0.666667,0.666667]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.865993 [0.8,0.888889,0.909091]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.802707 [0.75,0.888889,0.769231]
f_measure
0.866667 [1,0.8,0.8]
f_measure
1 [1,1,1]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.805387 [0.8,0.888889,0.727273]
f_measure
0.794444 [0.75,0.8,0.833333]
f_measure
0.791919 [0.666667,0.909091,0.8]
f_measure
0.719373 [0.888889,0.5,0.769231]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.87037 [0.888889,0.888889,0.833333]
f_measure
0.865993 [0.909091,0.888889,0.8]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.93266 [0.888889,0.909091,1]
f_measure
0.794444 [0.75,0.8,0.833333]
f_measure
0.866667 [0.8,1,0.8]
f_measure
0.93266 [1,0.888889,0.909091]
f_measure
0.931602 [0.857143,0.909091,1]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.796296 [0.888889,0.666667,0.833333]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
1 [1,1,1]
f_measure
0.869986 [0.857143,0.833333,0.909091]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
0.931602 [0.857143,0.909091,1]
f_measure
0.931602 [0.857143,0.909091,1]
f_measure
0.655556 [0.5,0.8,0.666667]
kappa
0.810651
kappa
0.905325
kappa
0.811765
kappa
0.719298
kappa
0.532164
kappa
0.812865
kappa
0.619048
kappa
0.719298
kappa
0.811765
kappa
0.809524
kappa
0.8
kappa
0.9
kappa
0.9
kappa
0.695946
kappa
0.89726
kappa
0.7
kappa
0.691781
kappa
0.7
kappa
0.9
kappa
0.695946
kappa
0.9
kappa
0.7
kappa
0.8
kappa
1
kappa
0.8
kappa
0.9
kappa
0.7
kappa
0.6
kappa
0.8
kappa
1
kappa
0.7
kappa
0.8
kappa
0.7
kappa
0.9
kappa
0.7
kappa
0.5
kappa
0.7
kappa
0.9
kappa
0.6
kappa
0.7
kappa
0.7
kappa
0.8
kappa
0.9
kappa
0.9
kappa
1
kappa
0.8
kappa
0.9
kappa
0.8
kappa
0.7
kappa
0.6
kappa
0.9
kappa
0.8
kappa
0.8
kappa
0.5
kappa
0.7
kappa
0.9
kappa
0.8
kappa
1
kappa
0.7
kappa
0.7
kappa
0.9
kappa
0.7
kappa
0.8
kappa
0.6
kappa
0.8
kappa
0.9
kappa
1
kappa
1
kappa
0.9
kappa
0.6
kappa
0.8
kappa
0.8
kappa
0.9
kappa
0.7
kappa
0.8
kappa
1
kappa
0.8
kappa
0.7
kappa
0.7
kappa
0.7
kappa
0.6
kappa
0.8
kappa
0.8
kappa
0.8
kappa
0.8
kappa
0.9
kappa
0.9
kappa
0.7
kappa
0.8
kappa
0.9
kappa
0.897959
kappa
0.9
kappa
0.7
kappa
0.9
kappa
1
kappa
0.797297
kappa
0.9
kappa
0.897959
kappa
0.897959
kappa
0.5
kb_relative_information_score
10.522875
kb_relative_information_score
12.436246
kb_relative_information_score
10.601378
kb_relative_information_score
9.515218
kb_relative_information_score
8.976559
kb_relative_information_score
10.887046
kb_relative_information_score
9.005204
kb_relative_information_score
10.481968
kb_relative_information_score
11.89078
kb_relative_information_score
11.66255
kb_relative_information_score
10.119143
kb_relative_information_score
12.029423
kb_relative_information_score
11.330952
kb_relative_information_score
8.629905
kb_relative_information_score
11.885512
kb_relative_information_score
8.735234
kb_relative_information_score
11.249917
kb_relative_information_score
7.695274
kb_relative_information_score
11.312558
kb_relative_information_score
9.640316
kb_relative_information_score
12.153945
kb_relative_information_score
9.317137
kb_relative_information_score
10.089841
kb_relative_information_score
13.142245
kb_relative_information_score
10.528555
kb_relative_information_score
12.073626
kb_relative_information_score
9.884334
kb_relative_information_score
7.696697
kb_relative_information_score
10.837048
kb_relative_information_score
13.478586
kb_relative_information_score
9.724316
kb_relative_information_score
12.089401
kb_relative_information_score
10.676726
kb_relative_information_score
11.071887
kb_relative_information_score
8.777273
kb_relative_information_score
7.055524
kb_relative_information_score
8.625432
kb_relative_information_score
12.172599
kb_relative_information_score
9.062859
kb_relative_information_score
10.25482
kb_relative_information_score
9.825495
kb_relative_information_score
10.355418
kb_relative_information_score
11.599078
kb_relative_information_score
12.216507
kb_relative_information_score
12.533396
kb_relative_information_score
10.342753
kb_relative_information_score
11.77204
kb_relative_information_score
10.80057
kb_relative_information_score
9.976884
kb_relative_information_score
9.890083
kb_relative_information_score
11.418378
kb_relative_information_score
9.986512
kb_relative_information_score
10.441117
kb_relative_information_score
7.835303
kb_relative_information_score
9.660897
kb_relative_information_score
10.70834
kb_relative_information_score
11.214396
kb_relative_information_score
12.916471
kb_relative_information_score
10.219116
kb_relative_information_score
10.493795
kb_relative_information_score
11.909125
kb_relative_information_score
9.231289
kb_relative_information_score
10.770868
kb_relative_information_score
9.289686
kb_relative_information_score
10.786985
kb_relative_information_score
11.99934
kb_relative_information_score
12.143898
kb_relative_information_score
12.005254
kb_relative_information_score
11.998203
kb_relative_information_score
7.964896
kb_relative_information_score
9.644447
kb_relative_information_score
10.61395
kb_relative_information_score
11.882839
kb_relative_information_score
10.007761
kb_relative_information_score
11.516156
kb_relative_information_score
12.448383
kb_relative_information_score
10.689272
kb_relative_information_score
9.241628
kb_relative_information_score
9.417253
kb_relative_information_score
9.710996
kb_relative_information_score
9.329353
kb_relative_information_score
9.691525
kb_relative_information_score
10.341582
kb_relative_information_score
11.612211
kb_relative_information_score
11.078377
kb_relative_information_score
12.709318
kb_relative_information_score
11.644223
kb_relative_information_score
10.862984
kb_relative_information_score
10.1439
kb_relative_information_score
11.478148
kb_relative_information_score
12.54019
kb_relative_information_score
11.258396
kb_relative_information_score
9.987843
kb_relative_information_score
11.063357
kb_relative_information_score
12.681529
kb_relative_information_score
11.327159
kb_relative_information_score
11.338078
kb_relative_information_score
10.792988
kb_relative_information_score
10.613666
kb_relative_information_score
6.347
mean_absolute_error
0.188018
mean_absolute_error
0.123024
mean_absolute_error
0.188402
mean_absolute_error
0.213922
mean_absolute_error
0.220341
mean_absolute_error
0.175754
mean_absolute_error
0.220083
mean_absolute_error
0.184562
mean_absolute_error
0.139576
mean_absolute_error
0.143139
mean_absolute_error
0.177413
mean_absolute_error
0.111198
mean_absolute_error
0.132145
mean_absolute_error
0.217231
mean_absolute_error
0.112698
mean_absolute_error
0.221451
mean_absolute_error
0.125351
mean_absolute_error
0.251656
mean_absolute_error
0.137751
mean_absolute_error
0.184024
mean_absolute_error
0.109822
mean_absolute_error
0.197199
mean_absolute_error
0.18135
mean_absolute_error
0.080183
mean_absolute_error
0.166224
mean_absolute_error
0.116202
mean_absolute_error
0.186573
mean_absolute_error
0.248612
mean_absolute_error
0.152198
mean_absolute_error
0.067091
mean_absolute_error
0.183518
mean_absolute_error
0.104222
mean_absolute_error
0.153776
mean_absolute_error
0.143728
mean_absolute_error
0.217747
mean_absolute_error
0.270006
mean_absolute_error
0.221835
mean_absolute_error
0.109357
mean_absolute_error
0.199212
mean_absolute_error
0.168698
mean_absolute_error
0.178864
mean_absolute_error
0.167684
mean_absolute_error
0.132069
mean_absolute_error
0.102989
mean_absolute_error
0.107145
mean_absolute_error
0.168546
mean_absolute_error
0.122953
mean_absolute_error
0.151175
mean_absolute_error
0.176848
mean_absolute_error
0.176945
mean_absolute_error
0.13783
mean_absolute_error
0.176887
mean_absolute_error
0.157676
mean_absolute_error
0.233693
mean_absolute_error
0.183427
mean_absolute_error
0.165291
mean_absolute_error
0.139442
mean_absolute_error
0.085984
mean_absolute_error
0.163996
mean_absolute_error
0.162442
mean_absolute_error
0.119595
mean_absolute_error
0.197478
mean_absolute_error
0.153528
mean_absolute_error
0.1967
mean_absolute_error
0.149186
mean_absolute_error
0.117213
mean_absolute_error
0.112808
mean_absolute_error
0.113694
mean_absolute_error
0.118102
mean_absolute_error
0.241261
mean_absolute_error
0.193497
mean_absolute_error
0.165307
mean_absolute_error
0.117695
mean_absolute_error
0.17645
mean_absolute_error
0.130034
mean_absolute_error
0.105275
mean_absolute_error
0.152421
mean_absolute_error
0.202534
mean_absolute_error
0.192686
mean_absolute_error
0.19126
mean_absolute_error
0.188406
mean_absolute_error
0.187279
mean_absolute_error
0.164292
mean_absolute_error
0.118948
mean_absolute_error
0.140254
mean_absolute_error
0.085298
mean_absolute_error
0.12942
mean_absolute_error
0.143314
mean_absolute_error
0.170925
mean_absolute_error
0.138318
mean_absolute_error
0.091596
mean_absolute_error
0.14193
mean_absolute_error
0.178618
mean_absolute_error
0.148009
mean_absolute_error
0.098106
mean_absolute_error
0.127535
mean_absolute_error
0.135699
mean_absolute_error
0.157616
mean_absolute_error
0.162207
mean_absolute_error
0.292285
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
precision
0.894345 [0.833333,1,0.857143]
precision
0.946429 [1,1,0.857143]
precision
0.875 [1,0.8,0.833333]
precision
0.833333 [0.8,0.666667,1]
precision
0.703646 [0.666667,0.625,0.8]
precision
0.910714 [1,0.714286,1]
precision
0.739583 [0.666667,0.8,0.75]
precision
0.810417 [0.833333,0.8,0.8]
precision
0.875 [1,0.8,0.833333]
precision
0.90625 [1,1,0.75]
precision
0.877778 [1,0.8,0.833333]
precision
0.946667 [0.8,1,1]
precision
0.946667 [0.8,1,1]
precision
0.832381 [0.8,1,0.714286]
precision
0.942857 [1,1,0.857143]
precision
0.805556 [0.75,1,0.666667]
precision
0.833333 [0.75,1,0.75]
precision
0.805556 [1,0.75,0.666667]
precision
0.944444 [0.833333,1,1]
precision
0.8 [0.75,0.8,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.821429 [0.75,0.714286,1]
precision
0.904762 [1,0.714286,1]
precision
1 [1,1,1]
precision
0.888889 [0.833333,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.805556 [0.666667,1,0.75]
precision
0.738889 [0.8,0.75,0.666667]
precision
0.904762 [0.714286,1,1]
precision
1 [1,1,1]
precision
0.833333 [0.833333,1,0.666667]
precision
0.877778 [1,0.8,0.833333]
precision
0.849206 [1,0.833333,0.714286]
precision
0.944444 [1,1,0.833333]
precision
0.821429 [1,0.75,0.714286]
precision
0.690476 [0.75,0.75,0.571429]
precision
0.822222 [1,0.666667,0.8]
precision
0.944444 [1,1,0.833333]
precision
0.808333 [0.8,1,0.625]
precision
0.805556 [1,0.75,0.666667]
precision
0.838095 [1,0.714286,0.8]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
0.944444 [1,0.833333,1]
precision
1 [1,1,1]
precision
0.877778 [1,0.8,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.888889 [1,0.833333,0.833333]
precision
0.875 [1,1,0.625]
precision
0.791667 [1,0.625,0.75]
precision
0.944444 [1,0.833333,1]
precision
0.877778 [0.8,0.833333,1]
precision
0.904762 [1,1,0.714286]
precision
0.666667 [0.666667,0.666667,0.666667]
precision
0.875 [1,1,0.625]
precision
0.944444 [1,1,0.833333]
precision
0.904762 [1,1,0.714286]
precision
1 [1,1,1]
precision
0.822222 [1,0.666667,0.8]
precision
0.794444 [0.75,0.8,0.833333]
precision
0.944444 [0.833333,1,1]
precision
0.875 [1,1,0.625]
precision
0.888889 [1,0.833333,0.833333]
precision
0.738095 [0.714286,0.75,0.75]
precision
0.877778 [0.833333,1,0.8]
precision
0.944444 [0.833333,1,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.944444 [0.833333,1,1]
precision
0.77381 [1,0.75,0.571429]
precision
0.877778 [1,0.8,0.833333]
precision
0.877778 [0.8,1,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.875 [1,1,0.625]
precision
0.866667 [1,0.8,0.8]
precision
1 [1,1,1]
precision
0.877778 [0.8,0.833333,1]
precision
0.822222 [0.8,1,0.666667]
precision
0.838095 [1,0.8,0.714286]
precision
0.794444 [0.75,0.833333,0.8]
precision
0.763889 [1,0.666667,0.625]
precision
0.877778 [0.8,0.833333,1]
precision
0.904762 [1,1,0.714286]
precision
0.877778 [0.833333,1,0.8]
precision
0.877778 [1,0.8,0.833333]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,0.833333,1]
precision
0.838095 [1,0.8,0.714286]
precision
0.866667 [0.8,1,0.8]
precision
0.944444 [1,1,0.833333]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [1,1,0.833333]
precision
0.821429 [1,0.75,0.714286]
precision
0.944444 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [1,0.833333,1]
precision
0.679365 [0.666667,0.8,0.571429]
predictive_accuracy
0.875
predictive_accuracy
0.9375
predictive_accuracy
0.875
predictive_accuracy
0.8125
predictive_accuracy
0.6875
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.8125
predictive_accuracy
0.875
predictive_accuracy
0.875
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.666667
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
recall
0.875 [1,0.6,1]
recall
0.9375 [0.8,1,1]
recall
0.875 [1,0.8,0.833333]
recall
0.8125 [0.8,0.8,0.833333]
recall
0.6875 [0.4,1,0.666667]
recall
0.875 [0.8,1,0.833333]
recall
0.75 [0.4,0.8,1]
recall
0.8125 [1,0.8,0.666667]
recall
0.875 [1,0.8,0.833333]
recall
0.875 [1,0.6,1]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [1,1,0.833333]
recall
0.933333 [1,1,0.833333]
recall
0.8 [1,0.6,0.833333]
recall
0.933333 [0.75,1,1]
recall
0.8 [0.6,1,0.8]
recall
0.8 [0.75,0.6,1]
recall
0.8 [1,0.6,0.8]
recall
0.933333 [1,0.8,1]
recall
0.8 [0.75,0.8,0.833333]
recall
0.933333 [0.8,1,1]
recall
0.8 [0.6,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
1 [1,1,1]
recall
0.866667 [1,0.6,1]
recall
0.933333 [1,0.8,1]
recall
0.8 [0.8,1,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.866667 [1,0.8,0.8]
recall
1 [1,1,1]
recall
0.8 [1,0.6,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.8 [0.4,1,1]
recall
0.933333 [1,0.8,1]
recall
0.8 [0.8,0.6,1]
recall
0.666667 [0.6,0.6,0.8]
recall
0.8 [0.8,0.8,0.8]
recall
0.933333 [1,0.8,1]
recall
0.733333 [0.8,0.4,1]
recall
0.8 [1,0.6,0.8]
recall
0.8 [0.6,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,1,0.8]
recall
0.933333 [0.8,1,1]
recall
1 [1,1,1]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [1,0.8,1]
recall
0.866667 [0.6,1,1]
recall
0.8 [1,0.4,1]
recall
0.733333 [0.6,1,0.6]
recall
0.933333 [1,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [1,0.6,1]
recall
0.666667 [0.4,0.8,0.8]
recall
0.8 [0.8,0.6,1]
recall
0.933333 [1,0.8,1]
recall
0.866667 [1,0.6,1]
recall
1 [1,1,1]
recall
0.8 [0.8,0.8,0.8]
recall
0.8 [0.6,0.8,1]
recall
0.933333 [1,1,0.8]
recall
0.8 [0.8,0.6,1]
recall
0.866667 [0.6,1,1]
recall
0.733333 [1,0.6,0.6]
recall
0.866667 [1,0.8,0.8]
recall
0.933333 [1,1,0.8]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.933333 [1,1,0.8]
recall
0.733333 [0.8,0.6,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [0.8,1,1]
recall
0.8 [0.6,0.8,1]
recall
0.866667 [1,0.8,0.8]
recall
1 [1,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.8 [0.8,0.8,0.8]
recall
0.8 [0.6,0.8,1]
recall
0.8 [0.6,1,0.8]
recall
0.733333 [0.8,0.4,1]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [1,0.8,1]
recall
0.933333 [0.8,1,1]
recall
0.8 [0.6,0.8,1]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,0.8,1]
recall
0.933333 [0.75,1,1]
recall
0.933333 [0.8,1,1]
recall
0.8 [0.8,0.6,1]
recall
0.933333 [0.8,1,1]
recall
1 [1,1,1]
recall
0.866667 [0.75,1,0.833333]
recall
0.933333 [1,0.8,1]
recall
0.933333 [0.75,1,1]
recall
0.933333 [0.75,1,1]
recall
0.666667 [0.4,0.8,0.8]
relative_absolute_error
0.42347
relative_absolute_error
0.277084
relative_absolute_error
0.424336
relative_absolute_error
0.481813
relative_absolute_error
0.496272
relative_absolute_error
0.395848
relative_absolute_error
0.495689
relative_absolute_error
0.415686
relative_absolute_error
0.314364
relative_absolute_error
0.32239
relative_absolute_error
0.39918
relative_absolute_error
0.250684
relative_absolute_error
0.297906
relative_absolute_error
0.489723
relative_absolute_error
0.254066
relative_absolute_error
0.498265
relative_absolute_error
0.282591
relative_absolute_error
0.566225
relative_absolute_error
0.30994
relative_absolute_error
0.414861
relative_absolute_error
0.247101
relative_absolute_error
0.443697
relative_absolute_error
0.408037
relative_absolute_error
0.180412
relative_absolute_error
0.374004
relative_absolute_error
0.261454
relative_absolute_error
0.41979
relative_absolute_error
0.559378
relative_absolute_error
0.342446
relative_absolute_error
0.150955
relative_absolute_error
0.412917
relative_absolute_error
0.234499
relative_absolute_error
0.345997
relative_absolute_error
0.323389
relative_absolute_error
0.48993
relative_absolute_error
0.607513
relative_absolute_error
0.499129
relative_absolute_error
0.246053
relative_absolute_error
0.448227
relative_absolute_error
0.37957
relative_absolute_error
0.402445
relative_absolute_error
0.377289
relative_absolute_error
0.297154
relative_absolute_error
0.231724
relative_absolute_error
0.241076
relative_absolute_error
0.379228
relative_absolute_error
0.276643
relative_absolute_error
0.340144
relative_absolute_error
0.397907
relative_absolute_error
0.398126
relative_absolute_error
0.310116
relative_absolute_error
0.397997
relative_absolute_error
0.354772
relative_absolute_error
0.525809
relative_absolute_error
0.412711
relative_absolute_error
0.371905
relative_absolute_error
0.313744
relative_absolute_error
0.193463
relative_absolute_error
0.368991
relative_absolute_error
0.365494
relative_absolute_error
0.269088
relative_absolute_error
0.444326
relative_absolute_error
0.345439
relative_absolute_error
0.442575
relative_absolute_error
0.33567
relative_absolute_error
0.263729
relative_absolute_error
0.253819
relative_absolute_error
0.255811
relative_absolute_error
0.265729
relative_absolute_error
0.542838
relative_absolute_error
0.435368
relative_absolute_error
0.371941
relative_absolute_error
0.264814
relative_absolute_error
0.397013
relative_absolute_error
0.292578
relative_absolute_error
0.23687
relative_absolute_error
0.342948
relative_absolute_error
0.455701
relative_absolute_error
0.433543
relative_absolute_error
0.430335
relative_absolute_error
0.423913
relative_absolute_error
0.421377
relative_absolute_error
0.369658
relative_absolute_error
0.267633
relative_absolute_error
0.315572
relative_absolute_error
0.191921
relative_absolute_error
0.291195
relative_absolute_error
0.322456
relative_absolute_error
0.384582
relative_absolute_error
0.311215
relative_absolute_error
0.206494
relative_absolute_error
0.319344
relative_absolute_error
0.40189
relative_absolute_error
0.33302
relative_absolute_error
0.220739
relative_absolute_error
0.287514
relative_absolute_error
0.305323
relative_absolute_error
0.355328
relative_absolute_error
0.365679
relative_absolute_error
0.65764
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_squared_error
0.271389
root_mean_squared_error
0.217414
root_mean_squared_error
0.300236
root_mean_squared_error
0.326548
root_mean_squared_error
0.355443
root_mean_squared_error
0.281633
root_mean_squared_error
0.362398
root_mean_squared_error
0.322918
root_mean_squared_error
0.243658
root_mean_squared_error
0.262983
root_mean_squared_error
0.296103
root_mean_squared_error
0.229248
root_mean_squared_error
0.215024
root_mean_squared_error
0.353116
root_mean_squared_error
0.221767
root_mean_squared_error
0.341083
root_mean_squared_error
0.258817
root_mean_squared_error
0.354958
root_mean_squared_error
0.208968
root_mean_squared_error
0.321736
root_mean_squared_error
0.197565
root_mean_squared_error
0.336352
root_mean_squared_error
0.294819
root_mean_squared_error
0.119531
root_mean_squared_error
0.233789
root_mean_squared_error
0.183598
root_mean_squared_error
0.294186
root_mean_squared_error
0.406406
root_mean_squared_error
0.265373
root_mean_squared_error
0.096755
root_mean_squared_error
0.341889
root_mean_squared_error
0.211554
root_mean_squared_error
0.254651
root_mean_squared_error
0.238428
root_mean_squared_error
0.366347
root_mean_squared_error
0.401467
root_mean_squared_error
0.334196
root_mean_squared_error
0.19613
root_mean_squared_error
0.342727
root_mean_squared_error
0.291228
root_mean_squared_error
0.293388
root_mean_squared_error
0.262439
root_mean_squared_error
0.239266
root_mean_squared_error
0.19174
root_mean_squared_error
0.1383
root_mean_squared_error
0.283858
root_mean_squared_error
0.21305
root_mean_squared_error
0.264082
root_mean_squared_error
0.317772
root_mean_squared_error
0.287689
root_mean_squared_error
0.248199
root_mean_squared_error
0.269665
root_mean_squared_error
0.261882
root_mean_squared_error
0.372586
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