334557
2
Joaquin Vanschoren
4654
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
-1
1145948
description
https://api.openml.org/data/download/1145948/weka_generated_run325768799143818729.xml
-1
1145951
model_readable
https://api.openml.org/data/download/1145951/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE8630686060317053181.model
-1
1145950
model_serialized
https://api.openml.org/data/download/1145950/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE5766349310948497556.model
-1
1145949
predictions
https://api.openml.org/data/download/1145949/weka_generated_predictions150804164781792329.arff
area_under_roc_curve
0.91921 [0.935681,0.901099,0.921104]
average_cost
0
f_measure
0.790414 [0.838264,0.742349,0.791541]
kappa
0.686261
kb_relative_information_score
1004.926334
mean_absolute_error
0.17038
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
0.792017 [0.811069,0.732943,0.830867]
predictive_accuracy
0.790728
prior_entropy
1.584538
recall
0.790728 [0.867347,0.752,0.755769]
relative_absolute_error
0.38347
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.316687
root_relative_squared_error
0.671898
scimark_benchmark
1331.004713 [799.3770405647658, 967.832724029716, 522.5020871626386, 1074.3606305428655, 3290.9510840119588]
total_cost
0
usercpu_time_millis
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
area_under_roc_curve
0.700284 [0.8,0.590909,0.708333]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.893182 [0.963636,0.854545,0.866667]
area_under_roc_curve
0.863068 [0.763636,0.818182,0.983333]
area_under_roc_curve
0.863636 [0.854545,0.909091,0.833333]
area_under_roc_curve
0.855114 [0.8,0.836364,0.916667]
area_under_roc_curve
0.930682 [0.927273,0.890909,0.966667]
area_under_roc_curve
0.946023 [0.927273,1,0.916667]
area_under_roc_curve
0.896023 [0.872727,0.854545,0.95]
area_under_roc_curve
0.860795 [0.872727,0.781818,0.916667]
area_under_roc_curve
0.893333 [0.94,0.84,0.9]
area_under_roc_curve
0.979125 [0.977273,1,0.962963]
area_under_roc_curve
0.948148 [1,1,0.87037]
area_under_roc_curve
0.820202 [0.909091,0.8,0.777778]
area_under_roc_curve
0.959259 [1,0.9,0.981481]
area_under_roc_curve
0.813333 [0.82,0.78,0.84]
area_under_roc_curve
0.966532 [0.977273,0.94,0.981481]
area_under_roc_curve
0.826667 [0.84,0.72,0.92]
area_under_roc_curve
0.933333 [1,0.84,0.96]
area_under_roc_curve
0.905993 [0.886364,0.92,0.907407]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.92 [0.86,0.92,0.98]
area_under_roc_curve
0.786667 [0.9,0.7,0.76]
area_under_roc_curve
0.98 [0.98,1,0.96]
area_under_roc_curve
0.86 [0.82,0.8,0.96]
area_under_roc_curve
0.993333 [1,0.98,1]
area_under_roc_curve
0.926667 [0.98,1,0.8]
area_under_roc_curve
0.953333 [0.94,0.92,1]
area_under_roc_curve
0.893333 [0.98,0.9,0.8]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.926667 [0.96,0.94,0.88]
area_under_roc_curve
0.966667 [0.98,0.96,0.96]
area_under_roc_curve
0.966667 [0.96,0.96,0.98]
area_under_roc_curve
0.96 [0.96,0.92,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.86 [0.92,0.9,0.76]
area_under_roc_curve
0.633333 [0.48,0.56,0.86]
area_under_roc_curve
0.98 [1,0.98,0.96]
area_under_roc_curve
0.926667 [1,0.84,0.94]
area_under_roc_curve
0.913333 [0.96,0.8,0.98]
area_under_roc_curve
0.886667 [0.92,0.78,0.96]
area_under_roc_curve
0.893333 [0.9,0.88,0.9]
area_under_roc_curve
0.94 [0.92,0.98,0.92]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.86 [0.74,0.84,1]
area_under_roc_curve
0.873333 [1,0.8,0.82]
area_under_roc_curve
0.953333 [1,0.94,0.92]
area_under_roc_curve
0.973333 [0.97,0.97,0.98]
area_under_roc_curve
0.92 [0.92,0.88,0.96]
area_under_roc_curve
0.933333 [0.96,0.94,0.9]
area_under_roc_curve
0.9 [1,0.92,0.78]
area_under_roc_curve
0.84 [1,0.88,0.64]
area_under_roc_curve
0.926667 [1,0.92,0.86]
area_under_roc_curve
0.9 [0.92,0.88,0.9]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.726667 [0.8,0.56,0.82]
area_under_roc_curve
0.973333 [1,0.94,0.98]
area_under_roc_curve
0.98 [1,0.96,0.98]
area_under_roc_curve
0.92 [0.9,0.9,0.96]
area_under_roc_curve
0.993333 [1,1,0.98]
area_under_roc_curve
0.953333 [1,0.98,0.88]
area_under_roc_curve
0.96 [0.98,0.94,0.96]
area_under_roc_curve
0.946667 [0.98,0.9,0.96]
area_under_roc_curve
0.826667 [0.92,0.76,0.8]
area_under_roc_curve
0.9 [0.98,0.88,0.84]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.96 [1,0.92,0.96]
area_under_roc_curve
0.873333 [1,0.9,0.72]
area_under_roc_curve
0.953333 [0.98,1,0.88]
area_under_roc_curve
0.82 [0.9,0.82,0.74]
area_under_roc_curve
0.826667 [0.86,0.8,0.82]
area_under_roc_curve
0.826667 [0.78,0.72,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.966667 [1,0.94,0.96]
area_under_roc_curve
0.946667 [1,0.92,0.92]
area_under_roc_curve
0.993333 [1,1,0.98]
area_under_roc_curve
0.9 [0.88,0.92,0.9]
area_under_roc_curve
0.833333 [0.84,0.9,0.76]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.94 [0.92,1,0.9]
area_under_roc_curve
0.88 [0.84,0.8,1]
area_under_roc_curve
0.86 [0.88,0.84,0.86]
area_under_roc_curve
0.886667 [0.9,0.9,0.86]
area_under_roc_curve
0.946667 [1,0.94,0.9]
area_under_roc_curve
0.933333 [0.96,0.92,0.92]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.933333 [0.88,0.92,1]
area_under_roc_curve
0.933333 [0.94,0.86,1]
area_under_roc_curve
0.926667 [0.98,0.84,0.96]
area_under_roc_curve
0.906667 [0.92,0.86,0.94]
area_under_roc_curve
0.993939 [0.977273,1,1]
area_under_roc_curve
0.933333 [1,0.9,0.9]
area_under_roc_curve
0.933333 [0.92,0.92,0.96]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.974545 [0.954545,0.96,1]
area_under_roc_curve
0.886667 [0.88,0.8,0.98]
area_under_roc_curve
0.880673 [0.863636,0.84,0.925926]
area_under_roc_curve
0.981818 [0.931818,1,1]
area_under_roc_curve
0.933333 [0.9,0.9,1]
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
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0
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0
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0
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0
average_cost
0
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0
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0
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0
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0
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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
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0
average_cost
0
average_cost
0
f_measure
0.482323 [0.666667,0.222222,0.545455]
f_measure
1 [1,1,1]
f_measure
0.753739 [0.888889,0.6,0.769231]
f_measure
0.491883 [0.545455,0,0.857143]
f_measure
0.737689 [0.727273,0.833333,0.666667]
f_measure
0.689394 [0.666667,0.666667,0.727273]
f_measure
0.693182 [0.8,0.545455,0.727273]
f_measure
0.9375 [0.909091,1,0.909091]
f_measure
0.817551 [0.888889,0.727273,0.833333]
f_measure
0.693291 [0.75,0.545455,0.769231]
f_measure
0.670707 [0.8,0.545455,0.666667]
f_measure
0.934007 [0.888889,1,0.909091]
f_measure
0.711111 [0.666667,1,0.5]
f_measure
0.600866 [0.571429,0.545455,0.666667]
f_measure
0.866667 [1,0.8,0.833333]
f_measure
0.794444 [0.833333,0.8,0.75]
f_measure
0.856268 [0.888889,0.75,0.923077]
f_measure
0.657239 [0.8,0.444444,0.727273]
f_measure
0.670552 [0.909091,0.333333,0.769231]
f_measure
0.673131 [0.6,0.666667,0.727273]
f_measure
1 [1,1,1]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.668091 [0.888889,0.615385,0.5]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.678114 [0.545455,0.6,0.888889]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.771284 [0.909091,0.833333,0.571429]
f_measure
0.865993 [0.888889,0.8,0.909091]
f_measure
0.710678 [0.833333,0.727273,0.571429]
f_measure
1 [1,1,1]
f_measure
0.725253 [0.909091,0.666667,0.6]
f_measure
0.805387 [0.888889,0.727273,0.8]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
0.856061 [0.909091,0.75,0.909091]
f_measure
1 [1,1,1]
f_measure
0.727778 [0.833333,0.75,0.6]
f_measure
0.377778 [0,0.333333,0.8]
f_measure
0.791919 [0.909091,0.8,0.666667]
f_measure
0.79798 [1,0.666667,0.727273]
f_measure
0.711111 [0.833333,0.5,0.8]
f_measure
0.802707 [0.769231,0.75,0.888889]
f_measure
0.655556 [0.8,0.666667,0.5]
f_measure
0.805387 [0.727273,0.8,0.888889]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.796296 [0.666667,0.833333,0.888889]
f_measure
0.574074 [0.833333,0.444444,0.444444]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.856061 [0.909091,0.75,0.909091]
f_measure
0.796296 [0.888889,0.666667,0.833333]
f_measure
0.740741 [0.888889,0.666667,0.666667]
f_measure
0.791919 [0.909091,0.8,0.666667]
f_measure
0.856061 [0.909091,0.909091,0.75]
f_measure
0.795455 [0.909091,0.75,0.727273]
f_measure
0.733333 [0.8,0.6,0.8]
f_measure
0.771284 [0.909091,0.571429,0.833333]
f_measure
0.516498 [0.6,0.222222,0.727273]
f_measure
0.861111 [1,0.75,0.833333]
f_measure
0.866667 [1,0.8,0.8]
f_measure
0.731313 [0.8,0.727273,0.666667]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.866667 [1,0.8,0.8]
f_measure
0.865993 [0.909091,0.888889,0.8]
f_measure
0.856061 [0.909091,0.75,0.909091]
f_measure
0.734848 [0.727273,0.727273,0.75]
f_measure
0.722222 [0.833333,0.666667,0.666667]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.791919 [0.909091,0.666667,0.8]
f_measure
0.856061 [0.909091,0.909091,0.75]
f_measure
0.856061 [0.909091,0.909091,0.75]
f_measure
0.590572 [0.727273,0.6,0.444444]
f_measure
0.666667 [0.8,0.6,0.6]
f_measure
0.6 [0.6,0.4,0.8]
f_measure
1 [1,1,1]
f_measure
0.79798 [1,0.727273,0.666667]
f_measure
0.79798 [1,0.727273,0.666667]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.796296 [0.666667,0.833333,0.888889]
f_measure
0.731313 [0.666667,0.8,0.727273]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.795455 [0.75,0.727273,0.909091]
f_measure
0.734848 [0.727273,0.727273,0.75]
f_measure
0.666667 [0.6,0.6,0.8]
f_measure
0.865993 [0.909091,0.888889,0.8]
f_measure
0.805387 [0.888889,0.727273,0.8]
f_measure
0.856061 [0.909091,0.75,0.909091]
f_measure
0.794444 [0.8,0.833333,0.75]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.728632 [0.769231,0.666667,0.75]
f_measure
0.738721 [0.888889,0.6,0.727273]
f_measure
0.931602 [0.857143,0.909091,1]
f_measure
0.712121 [0.909091,0.5,0.727273]
f_measure
0.740741 [0.888889,0.666667,0.666667]
f_measure
1 [1,1,1]
f_measure
0.791919 [0.909091,0.8,0.666667]
f_measure
0.797778 [0.75,0.833333,0.8]
f_measure
0.771284 [0.833333,0.571429,0.909091]
f_measure
0.657143 [0.571429,0.714286,0.666667]
f_measure
0.793795 [0.571429,0.833333,0.909091]
f_measure
0.866667 [0.8,0.8,1]
kappa
0.251462
kappa
1
kappa
0.621302
kappa
0.333333
kappa
0.630058
kappa
0.532164
kappa
0.532164
kappa
0.906433
kappa
0.717647
kappa
0.526627
kappa
0.5
kappa
0.9
kappa
0.615385
kappa
0.387755
kappa
0.797297
kappa
0.7
kappa
0.797297
kappa
0.5
kappa
0.6
kappa
0.503311
kappa
1
kappa
0.8
kappa
0.5
kappa
0.8
kappa
0.5
kappa
0.8
kappa
0.7
kappa
0.8
kappa
0.6
kappa
1
kappa
0.6
kappa
0.7
kappa
0.8
kappa
0.8
kappa
1
kappa
0.6
kappa
0.1
kappa
0.7
kappa
0.7
kappa
0.6
kappa
0.7
kappa
0.5
kappa
0.7
kappa
0.9
kappa
0.7
kappa
0.4
kappa
0.9
kappa
0.8
kappa
0.7
kappa
0.6
kappa
0.7
kappa
0.8
kappa
0.7
kappa
0.6
kappa
0.7
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0.3
kappa
0.8
kappa
0.8
kappa
0.6
kappa
0.9
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0.8
kappa
0.8
kappa
0.8
kappa
0.6
kappa
0.6
kappa
0.9
kappa
0.7
kappa
0.8
kappa
0.8
kappa
0.4
kappa
0.5
kappa
0.4
kappa
1
kappa
0.7
kappa
0.7
kappa
0.9
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0.7
kappa
0.6
kappa
0.8
kappa
0.9
kappa
0.7
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0.6
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0.5
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0.7
kappa
0.8
kappa
0.7
kappa
0.8
kappa
0.6
kappa
0.6
kappa
0.897959
kappa
0.6
kappa
0.6
kappa
1
kappa
0.7
kappa
0.7
kappa
0.7
kappa
0.5
kappa
0.695946
kappa
0.8
kb_relative_information_score
4.333535
kb_relative_information_score
14.31105
kb_relative_information_score
9.259004
kb_relative_information_score
7.219127
kb_relative_information_score
9.763324
kb_relative_information_score
8.491478
kb_relative_information_score
9.649225
kb_relative_information_score
12.995137
kb_relative_information_score
10.402632
kb_relative_information_score
8.476813
kb_relative_information_score
8.770669
kb_relative_information_score
12.816277
kb_relative_information_score
9.989028
kb_relative_information_score
6.692989
kb_relative_information_score
11.067104
kb_relative_information_score
8.900931
kb_relative_information_score
10.624205
kb_relative_information_score
8.144018
kb_relative_information_score
8.848711
kb_relative_information_score
8.52803
kb_relative_information_score
12.716812
kb_relative_information_score
9.988434
kb_relative_information_score
8.119939
kb_relative_information_score
11.724014
kb_relative_information_score
8.155008
kb_relative_information_score
11.390417
kb_relative_information_score
9.286538
kb_relative_information_score
11.237039
kb_relative_information_score
9.731048
kb_relative_information_score
13.999914
kb_relative_information_score
9.43717
kb_relative_information_score
10.836068
kb_relative_information_score
11.225273
kb_relative_information_score
10.853154
kb_relative_information_score
12.721587
kb_relative_information_score
8.038446
kb_relative_information_score
3.423083
kb_relative_information_score
10.489037
kb_relative_information_score
10.19767
kb_relative_information_score
9.967351
kb_relative_information_score
10.172461
kb_relative_information_score
8.067519
kb_relative_information_score
10.687722
kb_relative_information_score
12.888299
kb_relative_information_score
9.812901
kb_relative_information_score
7.662319
kb_relative_information_score
12.081102
kb_relative_information_score
10.502402
kb_relative_information_score
10.24159
kb_relative_information_score
8.77091
kb_relative_information_score
10.351508
kb_relative_information_score
10.588186
kb_relative_information_score
10.186266
kb_relative_information_score
9.119303
kb_relative_information_score
10.249573
kb_relative_information_score
5.02143
kb_relative_information_score
10.684737
kb_relative_information_score
11.377186
kb_relative_information_score
9.865579
kb_relative_information_score
12.740604
kb_relative_information_score
11.659603
kb_relative_information_score
10.993416
kb_relative_information_score
11.402762
kb_relative_information_score
8.252426
kb_relative_information_score
9.483919
kb_relative_information_score
11.83128
kb_relative_information_score
10.876509
kb_relative_information_score
10.800839
kb_relative_information_score
10.391712
kb_relative_information_score
6.904777
kb_relative_information_score
7.019937
kb_relative_information_score
7.032684
kb_relative_information_score
14.010569
kb_relative_information_score
9.640514
kb_relative_information_score
10.034781
kb_relative_information_score
12.161021
kb_relative_information_score
10.199436
kb_relative_information_score
8.695603
kb_relative_information_score
11.847619
kb_relative_information_score
11.209095
kb_relative_information_score
9.534736
kb_relative_information_score
9.398969
kb_relative_information_score
7.999349
kb_relative_information_score
11.000416
kb_relative_information_score
10.36972
kb_relative_information_score
12.296949
kb_relative_information_score
10.629432
kb_relative_information_score
11.639847
kb_relative_information_score
9.800371
kb_relative_information_score
9.357586
kb_relative_information_score
12.052534
kb_relative_information_score
9.030103
kb_relative_information_score
9.873342
kb_relative_information_score
12.353331
kb_relative_information_score
11.524737
kb_relative_information_score
10.651731
kb_relative_information_score
9.450572
kb_relative_information_score
8.29686
kb_relative_information_score
10.503968
kb_relative_information_score
10.820398
mean_absolute_error
0.353476
mean_absolute_error
0.066028
mean_absolute_error
0.212059
mean_absolute_error
0.260395
mean_absolute_error
0.199337
mean_absolute_error
0.235054
mean_absolute_error
0.189875
mean_absolute_error
0.107223
mean_absolute_error
0.177241
mean_absolute_error
0.232631
mean_absolute_error
0.20875
mean_absolute_error
0.080452
mean_absolute_error
0.16337
mean_absolute_error
0.265209
mean_absolute_error
0.135607
mean_absolute_error
0.214096
mean_absolute_error
0.152742
mean_absolute_error
0.227544
mean_absolute_error
0.204076
mean_absolute_error
0.209284
mean_absolute_error
0.094233
mean_absolute_error
0.181083
mean_absolute_error
0.228539
mean_absolute_error
0.111918
mean_absolute_error
0.226949
mean_absolute_error
0.126987
mean_absolute_error
0.197949
mean_absolute_error
0.131237
mean_absolute_error
0.176362
mean_absolute_error
0.045864
mean_absolute_error
0.181834
mean_absolute_error
0.135854
mean_absolute_error
0.132289
mean_absolute_error
0.147662
mean_absolute_error
0.091793
mean_absolute_error
0.233605
mean_absolute_error
0.3639
mean_absolute_error
0.151167
mean_absolute_error
0.164062
mean_absolute_error
0.168654
mean_absolute_error
0.165591
mean_absolute_error
0.226595
mean_absolute_error
0.149635
mean_absolute_error
0.081393
mean_absolute_error
0.179667
mean_absolute_error
0.236305
mean_absolute_error
0.111041
mean_absolute_error
0.146584
mean_absolute_error
0.16137
mean_absolute_error
0.203193
mean_absolute_error
0.159794
mean_absolute_error
0.154193
mean_absolute_error
0.162399
mean_absolute_error
0.198539
mean_absolute_error
0.160095
mean_absolute_error
0.326135
mean_absolute_error
0.148921
mean_absolute_error
0.127597
mean_absolute_error
0.167822
mean_absolute_error
0.082088
mean_absolute_error
0.118256
mean_absolute_error
0.14197
mean_absolute_error
0.128671
mean_absolute_error
0.225679
mean_absolute_error
0.18441
mean_absolute_error
0.119284
mean_absolute_error
0.142867
mean_absolute_error
0.153475
mean_absolute_error
0.163642
mean_absolute_error
0.270211
mean_absolute_error
0.259835
mean_absolute_error
0.262352
mean_absolute_error
0.045303
mean_absolute_error
0.184829
mean_absolute_error
0.168557
mean_absolute_error
0.107209
mean_absolute_error
0.16293
mean_absolute_error
0.21243
mean_absolute_error
0.109279
mean_absolute_error
0.145177
mean_absolute_error
0.185623
mean_absolute_error
0.189704
mean_absolute_error
0.226581
mean_absolute_error
0.135134
mean_absolute_error
0.157466
mean_absolute_error
0.090755
mean_absolute_error
0.149598
mean_absolute_error
0.116845
mean_absolute_error
0.175413
mean_absolute_error
0.185906
mean_absolute_error
0.106527
mean_absolute_error
0.2052
mean_absolute_error
0.169866
mean_absolute_error
0.109831
mean_absolute_error
0.117038
mean_absolute_error
0.14313
mean_absolute_error
0.192832
mean_absolute_error
0.219551
mean_absolute_error
0.149181
mean_absolute_error
0.148103
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
0.481696 [0.571429,0.25,0.6]
precision
1 [1,1,1]
precision
0.767857 [1,0.6,0.714286]
precision
0.4375 [0.5,0,0.75]
precision
0.806548 [0.666667,0.714286,1]
precision
0.712946 [0.75,0.571429,0.8]
precision
0.70625 [0.8,0.5,0.8]
precision
0.947917 [0.833333,1,1]
precision
0.833333 [1,0.666667,0.833333]
precision
0.736607 [1,0.5,0.714286]
precision
0.683333 [0.8,0.5,0.75]
precision
0.946667 [0.8,1,1]
precision
0.866667 [0.5,1,1]
precision
0.611111 [0.666667,0.5,0.666667]
precision
0.866667 [1,0.8,0.833333]
precision
0.838095 [0.714286,0.8,1]
precision
0.889524 [0.8,1,0.857143]
precision
0.655556 [0.8,0.5,0.666667]
precision
0.819444 [0.833333,1,0.625]
precision
0.703333 [0.5,0.75,0.8]
precision
1 [1,1,1]
precision
0.877778 [0.8,0.833333,1]
precision
0.722222 [1,0.5,0.666667]
precision
0.877778 [0.8,0.833333,1]
precision
0.7 [0.5,0.6,1]
precision
0.904762 [1,0.714286,1]
precision
0.849206 [0.833333,0.714286,1]
precision
0.877778 [1,0.8,0.833333]
precision
0.793651 [0.714286,0.666667,1]
precision
1 [1,1,1]
precision
0.727778 [0.833333,0.75,0.6]
precision
0.822222 [1,0.666667,0.8]
precision
0.904762 [1,0.714286,1]
precision
0.888889 [0.833333,1,0.833333]
precision
1 [1,1,1]
precision
0.771429 [0.714286,1,0.6]
precision
0.361905 [0,0.285714,0.8]
precision
0.794444 [0.833333,0.8,0.75]
precision
0.805556 [1,0.75,0.666667]
precision
0.726984 [0.714286,0.666667,0.8]
precision
0.875 [0.625,1,1]
precision
0.679365 [0.8,0.571429,0.666667]
precision
0.822222 [0.666667,0.8,1]
precision
0.944444 [1,0.833333,1]
precision
0.821429 [0.75,0.714286,1]
precision
0.571429 [0.714286,0.5,0.5]
precision
0.944444 [1,0.833333,1]
precision
0.888889 [0.833333,1,0.833333]
precision
0.821429 [1,0.75,0.714286]
precision
0.77381 [1,0.571429,0.75]
precision
0.794444 [0.833333,0.8,0.75]
precision
0.888889 [0.833333,0.833333,1]
precision
0.833333 [0.833333,1,0.666667]
precision
0.733333 [0.8,0.6,0.8]
precision
0.849206 [0.833333,1,0.714286]
precision
0.505556 [0.6,0.25,0.666667]
precision
0.904762 [1,1,0.714286]
precision
0.866667 [1,0.8,0.8]
precision
0.738889 [0.8,0.666667,0.75]
precision
0.944444 [1,0.833333,1]
precision
0.866667 [1,0.8,0.8]
precision
0.877778 [0.833333,1,0.8]
precision
0.888889 [0.833333,1,0.833333]
precision
0.777778 [0.666667,0.666667,1]
precision
0.738095 [0.714286,0.75,0.75]
precision
0.944444 [0.833333,1,1]
precision
0.794444 [0.833333,0.75,0.8]
precision
0.888889 [0.833333,0.833333,1]
precision
0.888889 [0.833333,0.833333,1]
precision
0.588889 [0.666667,0.6,0.5]
precision
0.666667 [0.8,0.6,0.6]
precision
0.6 [0.6,0.4,0.8]
precision
1 [1,1,1]
precision
0.805556 [1,0.666667,0.75]
precision
0.805556 [1,0.666667,0.75]
precision
0.944444 [1,0.833333,1]
precision
0.821429 [0.75,0.714286,1]
precision
0.738889 [0.75,0.8,0.666667]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
0.833333 [1,0.666667,0.833333]
precision
0.777778 [0.666667,0.666667,1]
precision
0.666667 [0.6,0.6,0.8]
precision
0.877778 [0.833333,1,0.8]
precision
0.822222 [1,0.666667,0.8]
precision
0.888889 [0.833333,1,0.833333]
precision
0.838095 [0.8,0.714286,1]
precision
0.877778 [0.833333,0.8,1]
precision
0.791667 [0.625,0.75,1]
precision
0.755556 [1,0.6,0.666667]
precision
0.944444 [1,0.833333,1]
precision
0.722222 [0.833333,0.666667,0.666667]
precision
0.77381 [1,0.571429,0.75]
precision
1 [1,1,1]
precision
0.794444 [0.833333,0.8,0.75]
precision
0.838095 [0.75,0.714286,1]
precision
0.849206 [0.714286,1,0.833333]
precision
0.762963 [0.666667,0.555556,1]
precision
0.815873 [0.666667,0.714286,1]
precision
0.866667 [0.8,0.8,1]
predictive_accuracy
0.5
predictive_accuracy
1
predictive_accuracy
0.75
predictive_accuracy
0.5625
predictive_accuracy
0.75
predictive_accuracy
0.6875
predictive_accuracy
0.6875
predictive_accuracy
0.9375
predictive_accuracy
0.8125
predictive_accuracy
0.6875
predictive_accuracy
0.666667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
1
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.733333
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.533333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.866667
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
0.5 [0.8,0.2,0.5]
recall
1 [1,1,1]
recall
0.75 [0.8,0.6,0.833333]
recall
0.5625 [0.6,0,1]
recall
0.75 [0.8,1,0.5]
recall
0.6875 [0.6,0.8,0.666667]
recall
0.6875 [0.8,0.6,0.666667]
recall
0.9375 [1,1,0.833333]
recall
0.8125 [0.8,0.8,0.833333]
recall
0.6875 [0.6,0.6,0.833333]
recall
0.666667 [0.8,0.6,0.6]
recall
0.933333 [1,1,0.833333]
recall
0.733333 [1,1,0.333333]
recall
0.6 [0.5,0.6,0.666667]
recall
0.866667 [1,0.8,0.833333]
recall
0.8 [1,0.8,0.6]
recall
0.866667 [1,0.6,1]
recall
0.666667 [0.8,0.4,0.8]
recall
0.733333 [1,0.2,1]
recall
0.666667 [0.75,0.6,0.666667]
recall
1 [1,1,1]
recall
0.866667 [0.8,1,0.8]
recall
0.666667 [0.8,0.8,0.4]
recall
0.866667 [0.8,1,0.8]
recall
0.666667 [0.6,0.6,0.8]
recall
0.866667 [1,1,0.6]
recall
0.8 [1,1,0.4]
recall
0.866667 [0.8,0.8,1]
recall
0.733333 [1,0.8,0.4]
recall
1 [1,1,1]
recall
0.733333 [1,0.6,0.6]
recall
0.8 [0.8,0.8,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [1,0.6,1]
recall
1 [1,1,1]
recall
0.733333 [1,0.6,0.6]
recall
0.4 [0,0.4,0.8]
recall
0.8 [1,0.8,0.6]
recall
0.8 [1,0.6,0.8]
recall
0.733333 [1,0.4,0.8]
recall
0.8 [1,0.6,0.8]
recall
0.666667 [0.8,0.8,0.4]
recall
0.8 [0.8,0.8,0.8]
recall
0.933333 [1,1,0.8]
recall
0.8 [0.6,1,0.8]
recall
0.6 [1,0.4,0.4]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,0.6,1]
recall
0.8 [0.8,0.6,1]
recall
0.733333 [0.8,0.8,0.6]
recall
0.8 [1,0.8,0.6]
recall
0.866667 [1,1,0.6]
recall
0.8 [1,0.6,0.8]
recall
0.733333 [0.8,0.6,0.8]
recall
0.8 [1,0.4,1]
recall
0.533333 [0.6,0.2,0.8]
recall
0.866667 [1,0.6,1]
recall
0.866667 [1,0.8,0.8]
recall
0.733333 [0.8,0.8,0.6]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [1,0.6,1]
recall
0.733333 [0.8,0.8,0.6]
recall
0.733333 [1,0.6,0.6]
recall
0.933333 [1,1,0.8]
recall
0.8 [1,0.6,0.8]
recall
0.866667 [1,1,0.6]
recall
0.866667 [1,1,0.6]
recall
0.6 [0.8,0.6,0.4]
recall
0.666667 [0.8,0.6,0.6]
recall
0.6 [0.6,0.4,0.8]
recall
1 [1,1,1]
recall
0.8 [1,0.8,0.6]
recall
0.8 [1,0.8,0.6]
recall
0.933333 [1,1,0.8]
recall
0.8 [0.6,1,0.8]
recall
0.733333 [0.6,0.8,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,1,0.8]
recall
0.8 [0.6,0.8,1]
recall
0.733333 [0.8,0.8,0.6]
recall
0.666667 [0.6,0.6,0.8]
recall
0.866667 [1,0.8,0.8]
recall
0.8 [0.8,0.8,0.8]
recall
0.866667 [1,0.6,1]
recall
0.8 [0.8,1,0.6]
recall
0.866667 [1,0.8,0.8]
recall
0.733333 [1,0.6,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.933333 [0.75,1,1]
recall
0.733333 [1,0.4,0.8]
recall
0.733333 [0.8,0.8,0.6]
recall
1 [1,1,1]
recall
0.8 [1,0.8,0.6]
recall
0.8 [0.75,1,0.666667]
recall
0.8 [1,0.4,1]
recall
0.666667 [0.5,1,0.5]
recall
0.8 [0.5,1,0.833333]
recall
0.866667 [0.8,0.8,1]
relative_absolute_error
0.796129
relative_absolute_error
0.148714
relative_absolute_error
0.477618
relative_absolute_error
0.586485
relative_absolute_error
0.448963
relative_absolute_error
0.529408
relative_absolute_error
0.427653
relative_absolute_error
0.241497
relative_absolute_error
0.399196
relative_absolute_error
0.52395
relative_absolute_error
0.469688
relative_absolute_error
0.181371
relative_absolute_error
0.368299
relative_absolute_error
0.597884
relative_absolute_error
0.305712
relative_absolute_error
0.481716
relative_absolute_error
0.34434
relative_absolute_error
0.511973
relative_absolute_error
0.45917
relative_absolute_error
0.471807
relative_absolute_error
0.212025
relative_absolute_error
0.407438
relative_absolute_error
0.514213
relative_absolute_error
0.251815
relative_absolute_error
0.510635
relative_absolute_error
0.285722
relative_absolute_error
0.445386
relative_absolute_error
0.295283
relative_absolute_error
0.396815
relative_absolute_error
0.103193
relative_absolute_error
0.409127
relative_absolute_error
0.305671
relative_absolute_error
0.29765
relative_absolute_error
0.332238
relative_absolute_error
0.206535
relative_absolute_error
0.525612
relative_absolute_error
0.818776
relative_absolute_error
0.340125
relative_absolute_error
0.369139
relative_absolute_error
0.37947
relative_absolute_error
0.372579
relative_absolute_error
0.509838
relative_absolute_error
0.336678
relative_absolute_error
0.183134
relative_absolute_error
0.40425
relative_absolute_error
0.531687
relative_absolute_error
0.249842
relative_absolute_error
0.329815
relative_absolute_error
0.363081
relative_absolute_error
0.457183
relative_absolute_error
0.359537
relative_absolute_error
0.346933
relative_absolute_error
0.365397
relative_absolute_error
0.446714
relative_absolute_error
0.360213
relative_absolute_error
0.733805
relative_absolute_error
0.335072
relative_absolute_error
0.287094
relative_absolute_error
0.377599
relative_absolute_error
0.184698
relative_absolute_error
0.266076
relative_absolute_error
0.319432
relative_absolute_error
0.289509
relative_absolute_error
0.507778
relative_absolute_error
0.414923
relative_absolute_error
0.268388
relative_absolute_error
0.32145
relative_absolute_error
0.345319
relative_absolute_error
0.368194
relative_absolute_error
0.607975
relative_absolute_error
0.584629
relative_absolute_error
0.590292
relative_absolute_error
0.101932
relative_absolute_error
0.415865
relative_absolute_error
0.379253
relative_absolute_error
0.24122
relative_absolute_error
0.366592
relative_absolute_error
0.477967
relative_absolute_error
0.245878
relative_absolute_error
0.326649
relative_absolute_error
0.417651
relative_absolute_error
0.426833
relative_absolute_error
0.509808
relative_absolute_error
0.304052
relative_absolute_error
0.354298
relative_absolute_error
0.204199
relative_absolute_error
0.336595
relative_absolute_error
0.262902
relative_absolute_error
0.39468
relative_absolute_error
0.418288
relative_absolute_error
0.240154
relative_absolute_error
0.4617
relative_absolute_error
0.382199
relative_absolute_error
0.247119
relative_absolute_error
0.263335
relative_absolute_error
0.322671
relative_absolute_error
0.433873
relative_absolute_error
0.494953
relative_absolute_error
0.336313
relative_absolute_error
0.333232
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
0.482014
root_mean_squared_error
0.110858
root_mean_squared_error
0.347779
root_mean_squared_error
0.408009
root_mean_squared_error
0.360065
root_mean_squared_error
0.394188
root_mean_squared_error
0.327895
root_mean_squared_error
0.224984
root_mean_squared_error
0.330043
root_mean_squared_error
0.423874
root_mean_squared_error
0.379085
root_mean_squared_error
0.21063
root_mean_squared_error
0.28903
root_mean_squared_error
0.450425
root_mean_squared_error
0.249457
root_mean_squared_error
0.359615
root_mean_squared_error
0.273336
root_mean_squared_error
0.394431
root_mean_squared_error
0.36405
root_mean_squared_error
0.388978
root_mean_squared_error
0.148076
root_mean_squared_error
0.316934
root_mean_squared_error
0.409017
root_mean_squared_error
0.246442
root_mean_squared_error
0.373156
root_mean_squared_error
0.228593
root_mean_squared_error
0.325925
root_mean_squared_error
0.265511
root_mean_squared_error
0.341721
root_mean_squared_error
0.071962
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