174475
1
Jan van Rijn
4647
Supervised Classification
predictive_accuracy
1071
weka.OneR(17)
1841
weka.classifiers.rules.OneR -- -B 6
B
6
1071
weka
weka_3.7.12
1107
tumors_C
https://www.openml.org/data/download/53990/tumors_C.arff
-1
576739
description
https://api.openml.org/data/download/576739/weka_generated_run9132069837264428804.xml
-1
576742
model_readable
https://api.openml.org/data/download/576742/WekaModel_weka.classifiers.rules.OneR3314348076962369130.model
-1
576741
model_serialized
https://api.openml.org/data/download/576741/WekaSerialized_weka.classifiers.rules.OneR7526301175724425943.model
-1
576740
predictions
https://api.openml.org/data/download/576740/weka_generated_predictions54536776621491654.arff
area_under_roc_curve
0.458974 [0.458974,0.458974]
average_cost
0
f_measure
0.507202 [0.298578,0.619537]
kappa
-0.081871
kb_relative_information_score
-73.660258
mean_absolute_error
0.493333
mean_prior_absolute_error
0.456452
number_of_instances
600 [210,390]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.507747 [0.29717,0.621134]
predictive_accuracy
0.506667
prior_entropy
0.938315
recall
0.506667 [0.3,0.617949]
relative_absolute_error
1.080801
root_mean_prior_squared_error
0.476994
root_mean_squared_error
0.702377
root_relative_squared_error
1.472506
scimark_benchmark
1465.297853 [893.108389729611, 1119.0214894299963, 609.7341290868692, 1237.1118697080133, 3467.51338498363]
total_cost
0
usercpu_time_millis
90
usercpu_time_millis_testing
0
usercpu_time_millis_training
90
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.166667 [0.166667,0.166667]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.125 [0.125,0.125]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.125 [0.125,0.125]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.125 [0.125,0.125]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.125 [0.125,0.125]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0 [0,0]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.875 [0.875,0.875]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.625 [0.625,0.625]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.375 [0.375,0.375]
area_under_roc_curve
0.125 [0.125,0.125]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.666667 [0.666667,0.666667]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.333333 [0.333333,0.333333]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.25 [0.25,0.25]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.333333 [0,0.5]
f_measure
0.444444 [0,0.666667]
f_measure
0.444444 [0,0.666667]
f_measure
0.25 [0,0.5]
f_measure
0.485714 [0.4,0.571429]
f_measure
0.142857 [0,0.285714]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.838095 [0.8,0.857143]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.533333 [0,0.8]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.190476 [0,0.285714]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.095238 [0.285714,0]
f_measure
0.190476 [0,0.285714]
f_measure
0.533333 [0,0.8]
f_measure
0.666667 [0.5,0.75]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.666667 [0.5,0.75]
f_measure
0.444444 [0,0.666667]
f_measure
0.333333 [0,0.5]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.533333 [0,0.8]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.444444 [0,0.666667]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.333333 [0,0.5]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.666667 [0.666667,0.666667]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.533333 [0,0.8]
f_measure
0.190476 [0,0.285714]
f_measure
0.457143 [0.571429,0.4]
f_measure
0.444444 [0,0.666667]
f_measure
0.190476 [0,0.285714]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.444444 [0,0.666667]
f_measure
0.333333 [0,0.5]
f_measure
0.444444 [0,0.666667]
f_measure
0.444444 [0,0.666667]
f_measure
0.666667 [0.5,0.75]
f_measure
0.666667 [0.5,0.75]
f_measure
0.095238 [0.285714,0]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.333333 [0,0.5]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0 [0,0]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.444444 [0,0.666667]
f_measure
0.444444 [0,0.666667]
f_measure
0.533333 [0,0.8]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.666667 [0.5,0.75]
f_measure
0.838095 [0.8,0.857143]
f_measure
0.444444 [0,0.666667]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.095238 [0.285714,0]
f_measure
0.444444 [0,0.666667]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.444444 [0,0.666667]
f_measure
0.444444 [0,0.666667]
f_measure
0.333333 [0,0.5]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.333333 [0,0.5]
f_measure
0.444444 [0,0.666667]
f_measure
0.666667 [0.5,0.75]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.333333 [0,0.5]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.666667 [0.5,0.75]
f_measure
0.444444 [0,0.666667]
f_measure
0.444444 [0,0.666667]
f_measure
0.190476 [0,0.285714]
f_measure
0.533333 [0,0.8]
f_measure
0.333333 [0,0.5]
f_measure
0.514286 [0.4,0.571429]
f_measure
0.333333 [0,0.5]
f_measure
0.625 [0.5,0.75]
f_measure
0.485714 [0.4,0.571429]
f_measure
0.333333 [0.333333,0.333333]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.814815 [0.666667,0.888889]
f_measure
0.333333 [0,0.5]
f_measure
0.485714 [0.4,0.571429]
f_measure
0.485714 [0.4,0.571429]
kappa
-0.333333
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0
kappa
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kappa
0
kappa
0
kappa
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0.666667
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0
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0
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0.571429
kappa
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kappa
0
kappa
0.4
kappa
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kappa
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kappa
0
kappa
0.25
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0
kappa
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kappa
0.25
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0
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0
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0
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kappa
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kappa
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kappa
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kappa
0
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0
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kappa
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kappa
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kappa
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0
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kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
3.61453
kb_relative_information_score
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kb_relative_information_score
1.347667
kb_relative_information_score
3.61453
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.347667
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
1.347667
kb_relative_information_score
1.347667
kb_relative_information_score
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kb_relative_information_score
3.61453
kb_relative_information_score
1.347667
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
3.61453
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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3.61453
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
-3.18606
kb_relative_information_score
1.347667
kb_relative_information_score
-0.919197
kb_relative_information_score
-0.919197
kb_relative_information_score
-5.452924
kb_relative_information_score
1.347667
kb_relative_information_score
-3.18606
kb_relative_information_score
-0.919197
kb_relative_information_score
-3.18606
kb_relative_information_score
2.266864
kb_relative_information_score
0
kb_relative_information_score
-2.266864
kb_relative_information_score
3.61453
kb_relative_information_score
3.61453
kb_relative_information_score
-3.18606
kb_relative_information_score
0
kb_relative_information_score
0
mean_absolute_error
0.666667
mean_absolute_error
0.666667
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.833333
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.166667
mean_absolute_error
0.5
mean_absolute_error
0.333333
mean_absolute_error
0.166667
mean_absolute_error
0.833333
mean_absolute_error
0.5
mean_absolute_error
0.333333
mean_absolute_error
0.833333
mean_absolute_error
0.833333
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0.5
mean_absolute_error
0.166667
mean_absolute_error
0.333333
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.166667
mean_absolute_error
0.333333
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.166667
mean_absolute_error
0.333333
mean_absolute_error
0.166667
mean_absolute_error
0.5
mean_absolute_error
0.333333
mean_absolute_error
0.833333
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.833333
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.333333
mean_absolute_error
0.333333
mean_absolute_error
0.833333
mean_absolute_error
0.666667
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
1
mean_absolute_error
0.5
mean_absolute_error
0.166667
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.333333
mean_absolute_error
0.5
mean_absolute_error
0.166667
mean_absolute_error
0.333333
mean_absolute_error
0.166667
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.833333
mean_absolute_error
0.5
mean_absolute_error
0.166667
mean_absolute_error
0.166667
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.166667
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.333333
mean_absolute_error
0.166667
mean_absolute_error
0.666667
mean_absolute_error
0.666667
mean_absolute_error
0.333333
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_absolute_error
0.833333
mean_absolute_error
0.333333
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.333333
mean_absolute_error
0.5
mean_absolute_error
0.666667
mean_absolute_error
0.166667
mean_absolute_error
0.166667
mean_absolute_error
0.666667
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
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0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
0.451613
mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
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number_of_instances
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number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [2,4]
number_of_instances
6 [3,3]
number_of_instances
6 [3,3]
precision
0.333333 [0.333333,0.333333]
precision
0.333333 [0.333333,0.333333]
precision
0.333333 [0,0.5]
precision
0.4 [0,0.6]
precision
0.4 [0,0.6]
precision
0.2 [0,0.4]
precision
0.5 [0.5,0.5]
precision
0.125 [0,0.25]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.416667 [0.25,0.5]
precision
0.888889 [0.666667,1]
precision
0.555556 [0.333333,0.666667]
precision
0.444444 [0,0.666667]
precision
0.866667 [1,0.8]
precision
0.222222 [0,0.333333]
precision
0.555556 [0.333333,0.666667]
precision
0.833333 [0.5,1]
precision
0.066667 [0.2,0]
precision
0.222222 [0,0.333333]
precision
0.444444 [0,0.666667]
precision
0.666667 [0.5,0.75]
precision
0.555556 [0.333333,0.666667]
precision
0.866667 [1,0.8]
precision
0.666667 [0.5,0.75]
precision
0.4 [0,0.6]
precision
0.333333 [0,0.5]
precision
0.866667 [1,0.8]
precision
0.444444 [0,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.4 [0,0.6]
precision
0.555556 [0.333333,0.666667]
precision
0.333333 [0,0.5]
precision
0.866667 [1,0.8]
precision
0.833333 [0.5,1]
precision
0.866667 [1,0.8]
precision
0.555556 [0.333333,0.666667]
precision
0.444444 [0,0.666667]
precision
0.222222 [0,0.333333]
precision
0.8 [0.4,1]
precision
0.4 [0,0.6]
precision
0.222222 [0,0.333333]
precision
0.416667 [0.25,0.5]
precision
0.555556 [0.333333,0.666667]
precision
0.4 [0,0.6]
precision
0.333333 [0,0.5]
precision
0.4 [0,0.6]
precision
0.4 [0,0.6]
precision
0.666667 [0.5,0.75]
precision
0.666667 [0.5,0.75]
precision
0.066667 [0.2,0]
precision
0.416667 [0.25,0.5]
precision
0.333333 [0,0.5]
precision
0.555556 [0.333333,0.666667]
precision
0.416667 [0.25,0.5]
precision
0 [0,0]
precision
0.555556 [0.333333,0.666667]
precision
0.866667 [1,0.8]
precision
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precision
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precision
0.444444 [0,0.666667]
precision
0.555556 [0.333333,0.666667]
precision
0.866667 [1,0.8]
precision
0.666667 [0.5,0.75]
precision
0.888889 [0.666667,1]
precision
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precision
0.555556 [0.333333,0.666667]
precision
0.416667 [0.25,0.5]
precision
0.555556 [0.333333,0.666667]
precision
0.066667 [0.2,0]
precision
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precision
0.866667 [1,0.8]
precision
0.866667 [1,0.8]
precision
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precision
0.4 [0,0.6]
precision
0.333333 [0,0.5]
precision
0.866667 [1,0.8]
precision
0.333333 [0,0.5]
precision
0.4 [0,0.6]
precision
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precision
0.866667 [1,0.8]
precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
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precision
0.555556 [0.333333,0.666667]
precision
0.333333 [0,0.5]
precision
0.8 [1,0.6]
precision
0.5 [0.5,0.5]
precision
0.333333 [0.333333,0.333333]
precision
0.866667 [1,0.8]
precision
0.866667 [1,0.8]
precision
0.333333 [0,0.5]
precision
0.5 [0.5,0.5]
precision
0.5 [0.5,0.5]
predictive_accuracy
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predictive_accuracy
0.333333
predictive_accuracy
0.333333
predictive_accuracy
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predictive_accuracy
0.5
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.5
predictive_accuracy
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0.938315
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prior_entropy
0.938315
prior_entropy
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prior_entropy
0.938315
prior_entropy
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prior_entropy
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0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
prior_entropy
0.938315
recall
0.333333 [0.333333,0.333333]
recall
0.333333 [0.333333,0.333333]
recall
0.333333 [0,0.5]
recall
0.5 [0,0.75]
recall
0.5 [0,0.75]
recall
0.333333 [0,0.666667]
recall
0.5 [0.333333,0.666667]
recall
0.166667 [0,0.333333]
recall
0.5 [0.5,0.5]
recall
0.5 [0.5,0.5]
recall
0.333333 [0.5,0.25]
recall
0.833333 [1,0.75]
recall
0.5 [0.5,0.5]
recall
0.666667 [0,1]
recall
0.833333 [0.5,1]
recall
0.166667 [0,0.25]
recall
0.5 [0.5,0.5]
recall
0.666667 [1,0.5]
recall
0.166667 [0.5,0]
recall
0.166667 [0,0.25]
recall
0.666667 [0,1]
recall
0.666667 [0.5,0.75]
recall
0.5 [0.5,0.5]
recall
0.833333 [0.5,1]
recall
0.666667 [0.5,0.75]
recall
0.5 [0,0.75]
recall
0.333333 [0,0.5]
recall
0.833333 [0.5,1]
recall
0.666667 [0,1]
recall
0.5 [0.5,0.5]
recall
0.5 [0.5,0.5]
recall
0.5 [0,0.75]
recall
0.5 [0.5,0.5]
recall
0.333333 [0,0.5]
recall
0.833333 [0.5,1]
recall
0.666667 [1,0.5]
recall
0.833333 [0.5,1]
recall
0.5 [0.5,0.5]
recall
0.666667 [0,1]
recall
0.166667 [0,0.25]
recall
0.5 [1,0.25]
recall
0.5 [0,0.75]
recall
0.166667 [0,0.25]
recall
0.333333 [0.5,0.25]
recall
0.5 [0.5,0.5]
recall
0.5 [0,0.75]
recall
0.333333 [0,0.5]
recall
0.5 [0,0.75]
recall
0.5 [0,0.75]
recall
0.666667 [0.5,0.75]
recall
0.666667 [0.5,0.75]
recall
0.166667 [0.5,0]
recall
0.333333 [0.5,0.25]
recall
0.333333 [0,0.5]
recall
0.5 [0.5,0.5]
recall
0.333333 [0.5,0.25]
recall
0 [0,0]
recall
0.5 [0.5,0.5]
recall
0.833333 [0.5,1]
recall
0.5 [0,0.75]
recall
0.5 [0,0.75]
recall
0.666667 [0,1]
recall
0.5 [0.5,0.5]
recall
0.833333 [0.5,1]
recall
0.666667 [0.5,0.75]
recall
0.833333 [1,0.75]
recall
0.5 [0,0.75]
recall
0.5 [0.5,0.5]
recall
0.333333 [0.5,0.25]
recall
0.5 [0.5,0.5]
recall
0.166667 [0.5,0]
recall
0.5 [0,0.75]
recall
0.833333 [0.5,1]
recall
0.833333 [0.5,1]
recall
0.5 [0,0.75]
recall
0.5 [0,0.75]
recall
0.333333 [0,0.5]
recall
0.833333 [0.5,1]
recall
0.333333 [0,0.5]
recall
0.5 [0,0.75]
recall
0.666667 [0.5,0.75]
recall
0.833333 [0.5,1]
recall
0.333333 [0,0.5]
recall
0.333333 [0.5,0.25]
recall
0.666667 [0.5,0.75]
recall
0.5 [0,0.75]
recall
0.5 [0,0.75]
recall
0.166667 [0,0.25]
recall
0.666667 [0,1]
recall
0.333333 [0,0.5]
recall
0.5 [0.5,0.5]
recall
0.333333 [0,0.5]
recall
0.666667 [0.333333,1]
recall
0.5 [0.333333,0.666667]
recall
0.333333 [0.333333,0.333333]
recall
0.833333 [0.5,1]
recall
0.833333 [0.5,1]
recall
0.333333 [0,0.5]
recall
0.5 [0.333333,0.666667]
recall
0.5 [0.333333,0.666667]
relative_absolute_error
1.333333
relative_absolute_error
1.333333
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.333333
relative_absolute_error
1
relative_absolute_error
1.666667
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
0.369048
relative_absolute_error
1.107143
relative_absolute_error
0.738095
relative_absolute_error
0.369048
relative_absolute_error
1.845238
relative_absolute_error
1.107143
relative_absolute_error
0.738095
relative_absolute_error
1.845238
relative_absolute_error
1.845238
relative_absolute_error
0.738095
relative_absolute_error
0.738095
relative_absolute_error
1.107143
relative_absolute_error
0.369048
relative_absolute_error
0.738095
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
0.369048
relative_absolute_error
0.738095
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
0.369048
relative_absolute_error
0.738095
relative_absolute_error
0.369048
relative_absolute_error
1.107143
relative_absolute_error
0.738095
relative_absolute_error
1.845238
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.845238
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
0.738095
relative_absolute_error
0.738095
relative_absolute_error
1.845238
relative_absolute_error
1.47619
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
2.214286
relative_absolute_error
1.107143
relative_absolute_error
0.369048
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
0.738095
relative_absolute_error
1.107143
relative_absolute_error
0.369048
relative_absolute_error
0.738095
relative_absolute_error
0.369048
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
1.845238
relative_absolute_error
1.107143
relative_absolute_error
0.369048
relative_absolute_error
0.369048
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
0.369048
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
0.738095
relative_absolute_error
0.369048
relative_absolute_error
1.47619
relative_absolute_error
1.47619
relative_absolute_error
0.738095
relative_absolute_error
1.107143
relative_absolute_error
1.107143
relative_absolute_error
1.845238
relative_absolute_error
0.738095
relative_absolute_error
1.47619
relative_absolute_error
1.107143
relative_absolute_error
1.47619
relative_absolute_error
0.666667
relative_absolute_error
1
relative_absolute_error
1.333333
relative_absolute_error
0.369048
relative_absolute_error
0.369048
relative_absolute_error
1.47619
relative_absolute_error
1
relative_absolute_error
1
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.471895
root_mean_prior_squared_error
0.520646
root_mean_prior_squared_error
0.520646
root_mean_squared_error
0.816497
root_mean_squared_error
0.816497
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.912871
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.408248
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.408248
root_mean_squared_error
0.912871
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.912871
root_mean_squared_error
0.912871
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.707107
root_mean_squared_error
0.408248
root_mean_squared_error
0.57735
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.408248
root_mean_squared_error
0.57735
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.408248
root_mean_squared_error
0.57735
root_mean_squared_error
0.408248
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.912871
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.912871
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.57735
root_mean_squared_error
0.912871
root_mean_squared_error
0.816497
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
1
root_mean_squared_error
0.707107
root_mean_squared_error
0.408248
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.707107
root_mean_squared_error
0.408248
root_mean_squared_error
0.57735
root_mean_squared_error
0.408248
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.912871
root_mean_squared_error
0.707107
root_mean_squared_error
0.408248
root_mean_squared_error
0.408248
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.408248
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.57735
root_mean_squared_error
0.408248
root_mean_squared_error
0.816497
root_mean_squared_error
0.816497
root_mean_squared_error
0.57735
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_mean_squared_error
0.912871
root_mean_squared_error
0.57735
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.57735
root_mean_squared_error
0.707107
root_mean_squared_error
0.816497
root_mean_squared_error
0.408248
root_mean_squared_error
0.408248
root_mean_squared_error
0.816497
root_mean_squared_error
0.707107
root_mean_squared_error
0.707107
root_relative_squared_error
1.568239
root_relative_squared_error
1.568239
root_relative_squared_error
1.730251
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.568239
root_relative_squared_error
1.358135
root_relative_squared_error
1.753344
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.730251
root_relative_squared_error
0.865126
root_relative_squared_error
1.498442
root_relative_squared_error
1.223472
root_relative_squared_error
0.865126
root_relative_squared_error
1.93448
root_relative_squared_error
1.498442
root_relative_squared_error
1.223472
root_relative_squared_error
1.93448
root_relative_squared_error
1.93448
root_relative_squared_error
1.223472
root_relative_squared_error
1.223472
root_relative_squared_error
1.498442
root_relative_squared_error
0.865126
root_relative_squared_error
1.223472
root_relative_squared_error
1.498442
root_relative_squared_error
1.730251
root_relative_squared_error
0.865126
root_relative_squared_error
1.223472
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.730251
root_relative_squared_error
0.865126
root_relative_squared_error
1.223472
root_relative_squared_error
0.865126
root_relative_squared_error
1.498442
root_relative_squared_error
1.223472
root_relative_squared_error
1.93448
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.93448
root_relative_squared_error
1.730251
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.730251
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.223472
root_relative_squared_error
1.223472
root_relative_squared_error
1.93448
root_relative_squared_error
1.730251
root_relative_squared_error
1.730251
root_relative_squared_error
1.498442
root_relative_squared_error
1.730251
root_relative_squared_error
2.119116
root_relative_squared_error
1.498442
root_relative_squared_error
0.865126
root_relative_squared_error
1.498442
root_relative_squared_error
1.498442
root_relative_squared_error
1.223472
root_relative_squared_error
1.498442
root_relative_squared_error
0.865126
root_relative_squared_error
1.223472
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