400175
2
Joaquin Vanschoren
4654
Supervised Classification
predictive_accuracy
1200
weka.LADTree(4)
2070
weka.classifiers.trees.LADTree -- -B 10
B
10
1200
weka
weka_3.7.12
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
-1
1400912
description
https://api.openml.org/data/download/1400912/weka_generated_run7702929431521083526.xml
-1
1400915
model_readable
https://api.openml.org/data/download/1400915/WekaModel_weka.classifiers.trees.LADTree6614350831548565516.model
-1
1400914
model_serialized
https://api.openml.org/data/download/1400914/WekaSerialized_weka.classifiers.trees.LADTree6630146857064381139.model
-1
1400913
predictions
https://api.openml.org/data/download/1400913/weka_generated_predictions1702527822845055555.arff
area_under_roc_curve
0.949879 [0.962586,0.939466,0.947918]
average_cost
0
f_measure
0.877129 [0.907631,0.8659,0.859184]
kappa
0.816333
kb_relative_information_score
1119.618765
mean_absolute_error
0.140871
mean_prior_absolute_error
0.444311
number_of_instances
1510 [490,500,520]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.880173 [0.893281,0.830882,0.915217]
predictive_accuracy
0.877483
prior_entropy
1.584538
recall
0.877483 [0.922449,0.904,0.809615]
relative_absolute_error
0.317055
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.252351
root_relative_squared_error
0.5354
scimark_benchmark
899.110836 [537.8479037370082, 1007.8216252346145, 483.0147548568529, 904.256587866, 1562.613308200353]
total_cost
0
usercpu_time_millis
60
usercpu_time_millis_testing
0
usercpu_time_millis_training
60
area_under_roc_curve
0.90625 [0.818182,0.981818,0.916667]
area_under_roc_curve
0.971591 [0.963636,0.945455,1]
area_under_roc_curve
0.921023 [1,0.927273,0.85]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.915057 [0.945455,0.972727,0.841667]
area_under_roc_curve
0.909091 [1,0.909091,0.833333]
area_under_roc_curve
0.969602 [1,0.972727,0.941667]
area_under_roc_curve
0.988068 [1,0.981818,0.983333]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.793182 [0.863636,0.754545,0.766667]
area_under_roc_curve
0.966667 [0.97,0.96,0.97]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.866532 [0.977273,0.84,0.814815]
area_under_roc_curve
0.759899 [0.795455,0.81,0.694444]
area_under_roc_curve
0.943704 [1,0.92,0.925926]
area_under_roc_curve
0.946667 [1,0.92,0.92]
area_under_roc_curve
0.964074 [1,0.97,0.935185]
area_under_roc_curve
0.946667 [0.93,0.91,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.911279 [0.965909,0.85,0.925926]
area_under_roc_curve
0.98 [0.98,0.96,1]
area_under_roc_curve
0.98 [0.97,0.97,1]
area_under_roc_curve
0.946667 [1,0.93,0.91]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.846667 [0.85,0.79,0.9]
area_under_roc_curve
0.906667 [0.92,0.81,0.99]
area_under_roc_curve
0.993333 [0.99,1,0.99]
area_under_roc_curve
0.92 [0.95,0.83,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.92 [0.94,0.84,0.98]
area_under_roc_curve
0.966667 [0.93,1,0.97]
area_under_roc_curve
0.886667 [0.96,0.94,0.76]
area_under_roc_curve
0.993333 [0.99,1,0.99]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.946667 [1,0.97,0.87]
area_under_roc_curve
0.986667 [0.98,1,0.98]
area_under_roc_curve
0.866667 [0.87,0.93,0.8]
area_under_roc_curve
0.96 [1,0.9,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9 [0.9,0.8,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.946667 [0.96,0.9,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.973333 [0.96,0.96,1]
area_under_roc_curve
0.82 [0.92,0.74,0.8]
area_under_roc_curve
0.906667 [1,0.89,0.83]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.986667 [1,0.96,1]
area_under_roc_curve
0.926667 [0.94,0.85,0.99]
area_under_roc_curve
0.96 [1,0.94,0.94]
area_under_roc_curve
0.953333 [0.94,1,0.92]
area_under_roc_curve
0.9 [0.94,0.8,0.96]
area_under_roc_curve
0.86 [0.91,0.77,0.9]
area_under_roc_curve
0.893333 [0.91,0.8,0.97]
area_under_roc_curve
0.966667 [0.97,0.96,0.97]
area_under_roc_curve
0.893333 [0.88,0.81,0.99]
area_under_roc_curve
0.993333 [0.99,1,0.99]
area_under_roc_curve
0.933333 [1,0.9,0.9]
area_under_roc_curve
0.993333 [1,0.99,0.99]
area_under_roc_curve
0.98 [0.98,0.98,0.98]
area_under_roc_curve
0.906667 [1,0.91,0.81]
area_under_roc_curve
0.866667 [0.93,0.84,0.83]
area_under_roc_curve
0.913333 [0.89,0.96,0.89]
area_under_roc_curve
0.92 [0.89,0.98,0.89]
area_under_roc_curve
0.92 [0.94,0.85,0.97]
area_under_roc_curve
0.9 [0.88,0.82,1]
area_under_roc_curve
0.986667 [0.98,0.98,1]
area_under_roc_curve
0.96 [1,0.97,0.91]
area_under_roc_curve
0.94 [1,0.94,0.88]
area_under_roc_curve
0.933333 [0.92,0.88,1]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.886667 [0.8,0.98,0.88]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.933333 [0.85,0.96,0.99]
area_under_roc_curve
0.926667 [0.84,1,0.94]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.88 [0.76,1,0.88]
area_under_roc_curve
0.993333 [1,0.99,0.99]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.98 [1,0.97,0.97]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.98 [1,0.96,0.98]
area_under_roc_curve
0.9 [1,0.9,0.8]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.986667 [1,0.98,0.98]
area_under_roc_curve
0.953333 [1,0.92,0.94]
area_under_roc_curve
0.953333 [0.97,0.89,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.973939 [0.977273,0.94,1]
area_under_roc_curve
0.9 [0.9,0.8,1]
area_under_roc_curve
0.972155 [0.988636,0.97,0.962963]
area_under_roc_curve
0.935724 [0.840909,0.99,0.953704]
area_under_roc_curve
0.993333 [0.99,1,0.99]
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
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
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
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
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.746795 [0.666667,0.8,0.769231]
f_measure
0.936869 [0.909091,0.888889,1]
f_measure
0.9375 [1,0.909091,0.909091]
f_measure
1 [1,1,1]
f_measure
0.794508 [0.833333,0.909091,0.666667]
f_measure
0.9375 [1,0.909091,0.909091]
f_measure
0.868182 [0.909091,0.909091,0.8]
f_measure
0.872917 [1,0.833333,0.8]
f_measure
0.9375 [1,0.909091,0.909091]
f_measure
0.746795 [0.8,0.666667,0.769231]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
0.934007 [0.888889,1,0.909091]
f_measure
0.736162 [0.727273,0.666667,0.8]
f_measure
0.601709 [0.5,0.666667,0.615385]
f_measure
0.933333 [1,0.909091,0.909091]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.932194 [1,0.888889,0.923077]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
1 [1,1,1]
f_measure
0.86734 [0.888889,0.8,0.909091]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.771284 [0.571429,0.909091,0.833333]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.8 [0.8,0.8,0.8]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.771284 [0.909091,0.571429,0.833333]
f_measure
1 [1,1,1]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.61927 [0.333333,0.909091,0.615385]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
1 [1,1,1]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.865993 [0.888889,0.909091,0.8]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
1 [1,1,1]
f_measure
0.861111 [0.833333,0.75,1]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
0.795455 [0.909091,0.727273,0.75]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.866667 [0.8,0.8,1]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.795455 [0.909091,0.727273,0.75]
f_measure
0.87037 [0.833333,0.888889,0.888889]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.93266 [0.888889,1,0.909091]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.715729 [0.909091,0.666667,0.571429]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
0.865993 [0.8,0.888889,0.909091]
f_measure
0.93266 [0.909091,1,0.888889]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.794444 [0.833333,0.8,0.75]
f_measure
0.794444 [0.75,0.833333,0.8]
f_measure
0.796296 [0.888889,0.833333,0.666667]
f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.861111 [0.833333,0.75,1]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.715729 [0.571429,0.909091,0.666667]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.731313 [0.666667,0.8,0.727273]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.865993 [0.8,0.909091,0.888889]
f_measure
0.866667 [0.8,1,0.8]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.68254 [0.333333,1,0.714286]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.78022 [1,0.769231,0.571429]
f_measure
0.93266 [1,0.909091,0.888889]
f_measure
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f_measure
0.865993 [0.909091,0.8,0.888889]
f_measure
0.722222 [1,0.5,0.666667]
f_measure
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f_measure
0.861111 [1,0.833333,0.75]
f_measure
0.87037 [0.888889,0.833333,0.888889]
f_measure
0.93266 [0.909091,0.888889,1]
f_measure
1 [1,1,1]
f_measure
0.799461 [0.888889,0.727273,0.8]
f_measure
0.666667 [0.833333,0.333333,0.833333]
f_measure
0.860067 [0.888889,0.909091,0.8]
f_measure
0.864935 [0.857143,0.909091,0.833333]
f_measure
0.93266 [0.909091,1,0.888889]
kappa
0.621302
kappa
0.905882
kappa
0.906433
kappa
1
kappa
0.722543
kappa
0.906433
kappa
0.813953
kappa
0.813953
kappa
0.906433
kappa
0.621302
kappa
0.8
kappa
0.9
kappa
0.607843
kappa
0.387755
kappa
0.899329
kappa
0.8
kappa
0.897959
kappa
0.9
kappa
1
kappa
0.8
kappa
0.8
kappa
0.7
kappa
0.8
kappa
1
kappa
1
kappa
0.7
kappa
0.8
kappa
0.9
kappa
0.7
kappa
1
kappa
0.8
kappa
0.9
kappa
0.9
kappa
0.8
kappa
0.9
kappa
0.5
kappa
0.8
kappa
1
kappa
0.9
kappa
0.8
kappa
0.9
kappa
0.8
kappa
0.8
kappa
1
kappa
0.8
kappa
0.9
kappa
0.7
kappa
1
kappa
1
kappa
0.8
kappa
0.8
kappa
0.8
kappa
0.9
kappa
0.7
kappa
0.8
kappa
0.8
kappa
0.9
kappa
0.8
kappa
0.8
kappa
0.6
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0.8
kappa
0.8
kappa
0.9
kappa
0.8
kappa
0.9
kappa
0.8
kappa
0.9
kappa
0.7
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0.7
kappa
0.7
kappa
0.8
kappa
0.8
kappa
0.9
kappa
0.8
kappa
0.6
kappa
0.9
kappa
0.8
kappa
0.6
kappa
0.9
kappa
0.8
kappa
0.8
kappa
0.9
kappa
0.6
kappa
0.9
kappa
0.8
kappa
0.7
kappa
0.9
kappa
0.9
kappa
0.8
kappa
0.6
kappa
1
kappa
0.8
kappa
0.8
kappa
0.9
kappa
1
kappa
0.701987
kappa
0.6
kappa
0.801325
kappa
0.795918
kappa
0.9
kb_relative_information_score
9.755036
kb_relative_information_score
12.645984
kb_relative_information_score
12.725804
kb_relative_information_score
13.420304
kb_relative_information_score
10.326074
kb_relative_information_score
12.860085
kb_relative_information_score
12.462066
kb_relative_information_score
12.390481
kb_relative_information_score
13.379882
kb_relative_information_score
8.919066
kb_relative_information_score
10.461482
kb_relative_information_score
12.762401
kb_relative_information_score
8.779541
kb_relative_information_score
6.219261
kb_relative_information_score
11.281763
kb_relative_information_score
10.510677
kb_relative_information_score
12.021538
kb_relative_information_score
10.856594
kb_relative_information_score
13.258342
kb_relative_information_score
10.958037
kb_relative_information_score
11.35646
kb_relative_information_score
9.954078
kb_relative_information_score
10.419642
kb_relative_information_score
12.682947
kb_relative_information_score
12.385562
kb_relative_information_score
9.667882
kb_relative_information_score
10.978088
kb_relative_information_score
12.402116
kb_relative_information_score
10.11826
kb_relative_information_score
13.223842
kb_relative_information_score
11.303563
kb_relative_information_score
12.766186
kb_relative_information_score
12.461809
kb_relative_information_score
10.002499
kb_relative_information_score
12.472405
kb_relative_information_score
7.927947
kb_relative_information_score
11.461533
kb_relative_information_score
13.255025
kb_relative_information_score
12.863366
kb_relative_information_score
10.799586
kb_relative_information_score
11.941534
kb_relative_information_score
10.739089
kb_relative_information_score
10.713383
kb_relative_information_score
13.400982
kb_relative_information_score
11.087336
kb_relative_information_score
12.470324
kb_relative_information_score
9.904992
kb_relative_information_score
13.251821
kb_relative_information_score
13.477844
kb_relative_information_score
10.688775
kb_relative_information_score
9.706756
kb_relative_information_score
10.518754
kb_relative_information_score
12.575522
kb_relative_information_score
10.711388
kb_relative_information_score
11.206613
kb_relative_information_score
10.317155
kb_relative_information_score
11.266109
kb_relative_information_score
10.841033
kb_relative_information_score
9.861166
kb_relative_information_score
9.574993
kb_relative_information_score
10.47188
kb_relative_information_score
9.963806
kb_relative_information_score
12.421001
kb_relative_information_score
10.734643
kb_relative_information_score
12.207573
kb_relative_information_score
11.0452
kb_relative_information_score
11.764457
kb_relative_information_score
9.606037
kb_relative_information_score
9.064828
kb_relative_information_score
10.199956
kb_relative_information_score
11.030529
kb_relative_information_score
10.352624
kb_relative_information_score
12.236266
kb_relative_information_score
11.16018
kb_relative_information_score
9.354617
kb_relative_information_score
11.081187
kb_relative_information_score
11.212066
kb_relative_information_score
9.186071
kb_relative_information_score
12.475954
kb_relative_information_score
11.103322
kb_relative_information_score
10.25896
kb_relative_information_score
11.659168
kb_relative_information_score
8.44801
kb_relative_information_score
12.071427
kb_relative_information_score
11.495577
kb_relative_information_score
10.527576
kb_relative_information_score
12.579063
kb_relative_information_score
11.751215
kb_relative_information_score
10.590759
kb_relative_information_score
10.025143
kb_relative_information_score
13.316559
kb_relative_information_score
11.126675
kb_relative_information_score
10.387122
kb_relative_information_score
12.204185
kb_relative_information_score
13.390634
kb_relative_information_score
10.243225
kb_relative_information_score
9.693149
kb_relative_information_score
11.088247
kb_relative_information_score
10.953072
kb_relative_information_score
12.384021
mean_absolute_error
0.19862
mean_absolute_error
0.12
mean_absolute_error
0.117367
mean_absolute_error
0.09573
mean_absolute_error
0.187404
mean_absolute_error
0.112556
mean_absolute_error
0.118918
mean_absolute_error
0.121425
mean_absolute_error
0.096124
mean_absolute_error
0.227769
mean_absolute_error
0.161786
mean_absolute_error
0.084215
mean_absolute_error
0.211176
mean_absolute_error
0.28867
mean_absolute_error
0.135612
mean_absolute_error
0.16164
mean_absolute_error
0.113107
mean_absolute_error
0.153855
mean_absolute_error
0.077237
mean_absolute_error
0.145135
mean_absolute_error
0.132123
mean_absolute_error
0.174597
mean_absolute_error
0.164569
mean_absolute_error
0.098793
mean_absolute_error
0.104243
mean_absolute_error
0.186498
mean_absolute_error
0.145114
mean_absolute_error
0.100485
mean_absolute_error
0.167479
mean_absolute_error
0.078722
mean_absolute_error
0.133318
mean_absolute_error
0.086886
mean_absolute_error
0.099593
mean_absolute_error
0.181189
mean_absolute_error
0.097962
mean_absolute_error
0.23159
mean_absolute_error
0.127776
mean_absolute_error
0.077411
mean_absolute_error
0.083335
mean_absolute_error
0.153864
mean_absolute_error
0.11794
mean_absolute_error
0.155632
mean_absolute_error
0.154159
mean_absolute_error
0.071077
mean_absolute_error
0.142695
mean_absolute_error
0.098252
mean_absolute_error
0.177184
mean_absolute_error
0.07755
mean_absolute_error
0.067716
mean_absolute_error
0.152917
mean_absolute_error
0.189628
mean_absolute_error
0.16134
mean_absolute_error
0.094678
mean_absolute_error
0.146033
mean_absolute_error
0.136844
mean_absolute_error
0.166804
mean_absolute_error
0.137157
mean_absolute_error
0.151742
mean_absolute_error
0.183443
mean_absolute_error
0.18934
mean_absolute_error
0.161828
mean_absolute_error
0.18115
mean_absolute_error
0.099609
mean_absolute_error
0.156011
mean_absolute_error
0.107926
mean_absolute_error
0.142302
mean_absolute_error
0.124507
mean_absolute_error
0.189098
mean_absolute_error
0.205832
mean_absolute_error
0.165448
mean_absolute_error
0.143491
mean_absolute_error
0.167111
mean_absolute_error
0.107865
mean_absolute_error
0.138466
mean_absolute_error
0.187703
mean_absolute_error
0.148764
mean_absolute_error
0.136986
mean_absolute_error
0.195235
mean_absolute_error
0.098964
mean_absolute_error
0.140673
mean_absolute_error
0.172051
mean_absolute_error
0.125646
mean_absolute_error
0.218185
mean_absolute_error
0.112696
mean_absolute_error
0.125952
mean_absolute_error
0.16206
mean_absolute_error
0.094383
mean_absolute_error
0.122248
mean_absolute_error
0.157354
mean_absolute_error
0.178907
mean_absolute_error
0.072414
mean_absolute_error
0.139769
mean_absolute_error
0.167586
mean_absolute_error
0.107372
mean_absolute_error
0.071651
mean_absolute_error
0.163393
mean_absolute_error
0.185618
mean_absolute_error
0.140359
mean_absolute_error
0.144184
mean_absolute_error
0.10114
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
0.752232 [0.75,0.8,0.714286]
precision
0.947917 [0.833333,1,1]
precision
0.947917 [1,0.833333,1]
precision
1 [1,1,1]
precision
0.858631 [0.714286,0.833333,1]
precision
0.947917 [1,0.833333,1]
precision
0.895833 [0.833333,0.833333,1]
precision
0.910714 [1,0.714286,1]
precision
0.947917 [1,0.833333,1]
precision
0.752232 [0.8,0.75,0.714286]
precision
0.904762 [1,0.714286,1]
precision
0.946667 [0.8,1,1]
precision
0.802381 [0.571429,0.75,1]
precision
0.611905 [0.5,0.75,0.571429]
precision
0.944444 [1,0.833333,1]
precision
0.904762 [1,0.714286,1]
precision
0.942857 [1,1,0.857143]
precision
0.944444 [0.833333,1,1]
precision
1 [1,1,1]
precision
0.88 [0.8,0.8,1]
precision
0.877778 [0.833333,0.8,1]
precision
0.849206 [1,0.833333,0.714286]
precision
0.904762 [1,0.714286,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.8 [0.8,0.8,0.8]
precision
0.877778 [0.833333,0.8,1]
precision
0.944444 [0.833333,1,1]
precision
0.849206 [0.833333,1,0.714286]
precision
1 [1,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [1,0.833333,1]
precision
0.877778 [0.833333,0.8,1]
precision
0.944444 [1,1,0.833333]
precision
0.777778 [1,0.833333,0.5]
precision
0.904762 [1,0.714286,1]
precision
1 [1,1,1]
precision
0.944444 [1,0.833333,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
0.877778 [1,0.833333,0.8]
precision
0.877778 [0.833333,0.8,1]
precision
1 [1,1,1]
precision
0.904762 [0.714286,1,1]
precision
0.944444 [0.833333,1,1]
precision
0.833333 [0.833333,0.666667,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.866667 [0.8,0.8,1]
precision
0.877778 [0.833333,0.8,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
0.833333 [0.833333,0.666667,1]
precision
0.904762 [0.714286,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [1,1,0.833333]
precision
0.877778 [0.833333,0.8,1]
precision
0.877778 [0.833333,0.8,1]
precision
0.801587 [0.833333,0.571429,1]
precision
0.904762 [1,0.714286,1]
precision
0.877778 [0.8,1,0.833333]
precision
0.944444 [0.833333,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [1,0.833333,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [1,0.833333,1]
precision
0.838095 [0.714286,0.8,1]
precision
0.838095 [1,0.714286,0.8]
precision
0.821429 [1,0.714286,0.75]
precision
0.877778 [0.833333,0.8,1]
precision
0.904762 [0.714286,1,1]
precision
0.944444 [0.833333,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.801587 [1,0.833333,0.571429]
precision
0.944444 [0.833333,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.738889 [0.75,0.8,0.666667]
precision
0.944444 [1,0.833333,1]
precision
0.877778 [0.8,0.833333,1]
precision
0.866667 [0.8,1,0.8]
precision
0.944444 [1,0.833333,1]
precision
0.851852 [1,1,0.555556]
precision
0.944444 [1,0.833333,1]
precision
0.904762 [1,0.714286,1]
precision
0.875 [1,0.625,1]
precision
0.944444 [1,0.833333,1]
precision
0.944444 [1,0.833333,1]
precision
0.877778 [0.833333,0.8,1]
precision
0.746032 [1,0.666667,0.571429]
precision
1 [1,1,1]
precision
0.904762 [1,0.714286,1]
precision
0.904762 [1,0.714286,1]
precision
0.944444 [0.833333,1,1]
precision
1 [1,1,1]
precision
0.835556 [0.8,0.666667,1]
precision
0.809524 [0.714286,1,0.714286]
precision
0.891111 [0.8,0.833333,1]
precision
0.877778 [1,0.833333,0.833333]
precision
0.944444 [0.833333,1,1]
predictive_accuracy
0.75
predictive_accuracy
0.9375
predictive_accuracy
0.9375
predictive_accuracy
1
predictive_accuracy
0.8125
predictive_accuracy
0.9375
predictive_accuracy
0.875
predictive_accuracy
0.875
predictive_accuracy
0.9375
predictive_accuracy
0.75
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.933333
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0.8
predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
0.933333
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.733333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
1
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
1
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
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
0.75 [0.6,0.8,0.833333]
recall
0.9375 [1,0.8,1]
recall
0.9375 [1,1,0.833333]
recall
1 [1,1,1]
recall
0.8125 [1,1,0.5]
recall
0.9375 [1,1,0.833333]
recall
0.875 [1,1,0.666667]
recall
0.875 [1,1,0.666667]
recall
0.9375 [1,1,0.833333]
recall
0.75 [0.8,0.6,0.833333]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,1,0.833333]
recall
0.733333 [1,0.6,0.666667]
recall
0.6 [0.5,0.6,0.666667]
recall
0.933333 [1,1,0.833333]
recall
0.866667 [1,1,0.6]
recall
0.933333 [1,0.8,1]
recall
0.933333 [1,0.8,1]
recall
1 [1,1,1]
recall
0.866667 [1,0.8,0.833333]
recall
0.866667 [1,0.8,0.8]
recall
0.8 [0.4,1,1]
recall
0.866667 [1,1,0.6]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.8 [0.8,0.8,0.8]
recall
0.866667 [1,0.8,0.8]
recall
0.933333 [1,1,0.8]
recall
0.8 [1,0.4,1]
recall
1 [1,1,1]
recall
0.866667 [1,1,0.6]
recall
0.933333 [1,1,0.8]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,0.8,0.8]
recall
0.933333 [0.8,1,1]
recall
0.666667 [0.2,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
1 [1,1,1]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,1,0.6]
recall
0.933333 [1,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [1,0.8,0.8]
recall
1 [1,1,1]
recall
0.866667 [1,0.6,1]
recall
0.933333 [1,0.8,1]
recall
0.8 [1,0.8,0.6]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.866667 [0.8,0.8,1]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [1,1,0.6]
recall
0.933333 [1,1,0.8]
recall
0.8 [1,0.8,0.6]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [1,1,0.6]
recall
0.933333 [0.8,1,1]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [1,0.8,0.8]
recall
0.733333 [1,0.8,0.4]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,0.8,1]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,1,0.6]
recall
0.933333 [1,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,1,0.8]
recall
0.8 [1,0.8,0.6]
recall
0.8 [0.6,1,0.8]
recall
0.8 [0.8,1,0.6]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [1,0.6,1]
recall
0.933333 [1,0.8,1]
recall
0.866667 [1,1,0.6]
recall
0.733333 [0.4,1,0.8]
recall
0.933333 [1,0.8,1]
recall
0.866667 [1,1,0.6]
recall
0.733333 [0.6,0.8,0.8]
recall
0.933333 [1,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,1,0.8]
recall
0.733333 [0.2,1,1]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,1,0.6]
recall
0.8 [1,1,0.4]
recall
0.933333 [1,1,0.8]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,0.8,0.8]
recall
0.733333 [1,0.4,0.8]
recall
1 [1,1,1]
recall
0.866667 [1,1,0.6]
recall
0.866667 [0.8,1,0.8]
recall
0.933333 [1,0.8,1]
recall
1 [1,1,1]
recall
0.8 [1,0.8,0.666667]
recall
0.733333 [1,0.2,1]
recall
0.866667 [1,1,0.666667]
recall
0.866667 [0.75,1,0.833333]
recall
0.933333 [1,1,0.8]
relative_absolute_error
0.447349
relative_absolute_error
0.270274
relative_absolute_error
0.264344
relative_absolute_error
0.215611
relative_absolute_error
0.422087
relative_absolute_error
0.253508
relative_absolute_error
0.267838
relative_absolute_error
0.273484
relative_absolute_error
0.216498
relative_absolute_error
0.513
relative_absolute_error
0.364019
relative_absolute_error
0.189853
relative_absolute_error
0.476074
relative_absolute_error
0.650776
relative_absolute_error
0.305722
relative_absolute_error
0.363689
relative_absolute_error
0.254988
relative_absolute_error
0.346173
relative_absolute_error
0.173784
relative_absolute_error
0.327191
relative_absolute_error
0.297277
relative_absolute_error
0.392844
relative_absolute_error
0.37028
relative_absolute_error
0.222284
relative_absolute_error
0.234547
relative_absolute_error
0.41962
relative_absolute_error
0.326506
relative_absolute_error
0.226092
relative_absolute_error
0.376829
relative_absolute_error
0.177126
relative_absolute_error
0.299966
relative_absolute_error
0.195493
relative_absolute_error
0.224085
relative_absolute_error
0.407675
relative_absolute_error
0.220416
relative_absolute_error
0.521078
relative_absolute_error
0.287496
relative_absolute_error
0.174175
relative_absolute_error
0.187504
relative_absolute_error
0.346195
relative_absolute_error
0.265366
relative_absolute_error
0.350173
relative_absolute_error
0.346857
relative_absolute_error
0.159923
relative_absolute_error
0.321064
relative_absolute_error
0.221067
relative_absolute_error
0.398664
relative_absolute_error
0.174488
relative_absolute_error
0.152362
relative_absolute_error
0.344063
relative_absolute_error
0.426662
relative_absolute_error
0.363014
relative_absolute_error
0.213026
relative_absolute_error
0.328574
relative_absolute_error
0.307899
relative_absolute_error
0.375309
relative_absolute_error
0.308603
relative_absolute_error
0.341419
relative_absolute_error
0.412747
relative_absolute_error
0.426015
relative_absolute_error
0.364112
relative_absolute_error
0.407586
relative_absolute_error
0.22412
relative_absolute_error
0.351025
relative_absolute_error
0.242834
relative_absolute_error
0.32018
relative_absolute_error
0.28014
relative_absolute_error
0.425471
relative_absolute_error
0.463122
relative_absolute_error
0.372257
relative_absolute_error
0.322854
relative_absolute_error
0.376
relative_absolute_error
0.242696
relative_absolute_error
0.311549
relative_absolute_error
0.422331
relative_absolute_error
0.33472
relative_absolute_error
0.308218
relative_absolute_error
0.439279
relative_absolute_error
0.22267
relative_absolute_error
0.316514
relative_absolute_error
0.387115
relative_absolute_error
0.282703
relative_absolute_error
0.490917
relative_absolute_error
0.253566
relative_absolute_error
0.283392
relative_absolute_error
0.364636
relative_absolute_error
0.212362
relative_absolute_error
0.275057
relative_absolute_error
0.354047
relative_absolute_error
0.402541
relative_absolute_error
0.16325
relative_absolute_error
0.314481
relative_absolute_error
0.377068
relative_absolute_error
0.241586
relative_absolute_error
0.161214
relative_absolute_error
0.368351
relative_absolute_error
0.417641
relative_absolute_error
0.316424
relative_absolute_error
0.325048
relative_absolute_error
0.227565
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
0.367261
root_mean_squared_error
0.220854
root_mean_squared_error
0.2208
root_mean_squared_error
0.151338
root_mean_squared_error
0.306596
root_mean_squared_error
0.220155
root_mean_squared_error
0.249316
root_mean_squared_error
0.21243
root_mean_squared_error
0.15567
root_mean_squared_error
0.396752
root_mean_squared_error
0.249499
root_mean_squared_error
0.16416
root_mean_squared_error
0.377152
root_mean_squared_error
0.458477
root_mean_squared_error
0.248683
root_mean_squared_error
0.27217
root_mean_squared_error
0.217996
root_mean_squared_error
0.256417
root_mean_squared_error
0.10183
root_mean_squared_error
0.284406
root_mean_squared_error
0.230371
root_mean_squared_error
0.28521
root_mean_squared_error
0.274622
root_mean_squared_error
0.132903
root_mean_squared_error
0.157803
root_mean_squared_error
0.349293
root_mean_squared_error
0.266308
root_mean_squared_error
0.17425
root_mean_squared_error
0.29146
root_mean_squared_error
0.102585
root_mean_squared_error
0.225442
root_mean_squared_error
0.153468
root_mean_squared_error
0.161439
root_mean_squared_error
0.282394
root_mean_squared_error
0.204954
root_mean_squared_error
0.360524
root_mean_squared_error
0.223165
root_mean_squared_error
0.101134
root_mean_squared_error
0.147855
root_mean_squared_error
0.262986
root_mean_squared_error
0.188871
root_mean_squared_error
0.29488
root_mean_squared_error
0.269783
root_mean_squared_error
0.095239
root_mean_squared_error
0.271841
root_mean_squared_error
0.180146
root_mean_squared_error
0.302578
root_mean_squared_error
0.101172
root_mean_squared_error
0.092657
root_mean_squared_error
0.268492
root_mean_squared_error
0.327017
root_mean_squared_error
0.273752
root_mean_squared_error
0.169339
root_mean_squared_error
0.272811
root_mean_squared_error
0.264132
root_mean_squared_error
0.246726
root_mean_squared_error
0.249651
root_mean_squared_error
0.291269
root_mean_squared_error
0.318958
root_mean_squared_error
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