433467
2
Joaquin Vanschoren
4204
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2064
weka.classifiers.meta.RotationForest -- -G 3 -H 3 -P 50 -F "weka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1" -S 1 -num-slots 1 -I 40 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
C
0.25
1068
M
2
1068
R
1.0
1164
A
5
1164
M
-1
1164
G
3
1196
H
3
1196
P
50
1196
F
weka.filters.unsupervised.attribute.PrincipalComponents
1196
S
1
1196
num-slots
1
1196
I
40
1196
W
weka.classifiers.trees.J48
1196
weka
weka_3.7.12
340
squash-stored
https://www.openml.org/data/download/52243/phpH2fvsy
-1
1515011
description
https://api.openml.org/data/download/1515011/weka_generated_run4568187151693609049.xml
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1515014
model_readable
https://api.openml.org/data/download/1515014/WekaModel_weka.classifiers.meta.RotationForest196384224583897210.model
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1515013
model_serialized
https://api.openml.org/data/download/1515013/WekaSerialized_weka.classifiers.meta.RotationForest2793850397023019631.model
-1
1515012
predictions
https://api.openml.org/data/download/1515012/weka_generated_predictions3192116549376734694.arff
area_under_roc_curve
0.850437 [0.883748,0.788233,0.917955]
average_cost
0
f_measure
0.695401 [0.784394,0.642157,0.57931]
kappa
0.506899
kb_relative_information_score
215.433739
mean_absolute_error
0.275672
mean_prior_absolute_error
0.41352
number_of_instances
520 [230,210,80]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.695318 [0.743191,0.661616,0.646154]
predictive_accuracy
0.7
prior_entropy
1.478161
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0.7 [0.830435,0.62381,0.525]
relative_absolute_error
0.666648
root_mean_prior_squared_error
0.45378
root_mean_squared_error
0.363302
root_relative_squared_error
0.800613
scimark_benchmark
945.59678 [563.567288607794, 1010.9942233373424, 481.28276544297296, 912.1225300476696, 1760.0170946291457]
total_cost
0
usercpu_time_millis
210
usercpu_time_millis_testing
50
usercpu_time_millis_training
160
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0.958333 [1,0.875,1]
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1 [1,1,1]
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0.85 [1,0.75,0.6]
area_under_roc_curve
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0.966667 [1,1,0.8]
area_under_roc_curve
0.833333 [1,0.666667,1]
area_under_roc_curve
0.641667 [0.625,0.666667,0.6]
area_under_roc_curve
0.777778 [0.888889,0.666667,0.0]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
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0.888889 [0.888889,0.888889,0.0]
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0.772222 [0.75,0.777778,0.8]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.888889 [1,0.777778,0.0]
area_under_roc_curve
0.75 [0.666667,0.75,1]
area_under_roc_curve
0.958333 [1,0.875,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.819444 [0.888889,0.625,1]
area_under_roc_curve
0.652778 [0.555556,0.625,1]
area_under_roc_curve
0.966667 [1,1,0.8]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.866667 [1,0.666667,0.0]
area_under_roc_curve
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area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
area_under_roc_curve
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area_under_roc_curve
0.883333 [0.833333,1,0.75]
area_under_roc_curve
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area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
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area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.616667 [0.5,0.666667,0.75]
area_under_roc_curve
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area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.733333 [1,0.333333,1]
area_under_roc_curve
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area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
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area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.816667 [1,0.666667,0.75]
area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.7 [1,0.5,0.5]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
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0.85 [1,1,0.25]
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area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.766667 [1,0.666667,0.5]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.55 [0.666667,0.333333,0.75]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
area_under_roc_curve
0.95 [1,1,0.75]
area_under_roc_curve
0.5 [0.666667,0.333333,0.5]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.883333 [0.833333,1,0.75]
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0.6 [0.666667,0.333333,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.733333 [0.833333,0.666667,0.0]
area_under_roc_curve
0.666667 [0.5,0.666667,1]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.733333 [0.666667,0.666667,1]
area_under_roc_curve
0.6 [0.5,0.5,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
area_under_roc_curve
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area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.733333 [0.666667,0.833333,0.0]
area_under_roc_curve
1 [1,1,0.0]
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
0.828571 [0.857143,0.8,0]
f_measure
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f_measure
0.666667 [0.666667,0.5,1]
f_measure
0.9 [1,0.8,0]
f_measure
0.833333 [0.8,0.8,1]
f_measure
0.595238 [0.857143,0.5,0]
f_measure
0.81746 [0.857143,0.666667,1]
f_measure
0.444444 [0.666667,0,0.666667]
f_measure
0.666667 [0.666667,0.5,1]
f_measure
0.650794 [0.857143,0.666667,0]
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1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.68 [0.8,0.5,0]
f_measure
0.46 [0.5,0.4,0]
f_measure
0.514286 [0.857143,0,0]
f_measure
0.6 [0.666667,0.5,0]
f_measure
0.514286 [0.857143,0,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
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f_measure
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f_measure
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f_measure
0.533333 [0.666667,0.666667,0]
f_measure
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f_measure
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f_measure
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f_measure
0.68 [0.8,0.5,0]
f_measure
0.45 [0.75,0,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
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f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.366667 [0.666667,0,0.5]
f_measure
0.72 [0.8,1,0]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.72 [1,0.8,0]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
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f_measure
0.533333 [0.666667,0.666667,0]
f_measure
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f_measure
0.786667 [0.8,0.666667,1]
f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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f_measure
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2.65315
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3.051795
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2.24181
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1.72348
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1.930547
kb_relative_information_score
4.09468
kb_relative_information_score
2.367239
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2.666764
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1.482563
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1.336034
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1.340406
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1.519416
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2.056602
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3.768588
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2.39243
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1.210956
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1.081534
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kb_relative_information_score
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kb_relative_information_score
2.868189
kb_relative_information_score
1.682584
kb_relative_information_score
1.176122
kb_relative_information_score
2.00916
kb_relative_information_score
3.115771
kb_relative_information_score
1.495996
kb_relative_information_score
2.93246
kb_relative_information_score
1.035402
kb_relative_information_score
2.289644
kb_relative_information_score
2.475845
kb_relative_information_score
1.274266
kb_relative_information_score
1.674783
kb_relative_information_score
3.744486
kb_relative_information_score
1.483625
kb_relative_information_score
2.958183
kb_relative_information_score
1.049279
kb_relative_information_score
3.107223
kb_relative_information_score
2.148346
kb_relative_information_score
1.319498
kb_relative_information_score
1.470174
kb_relative_information_score
2.961238
kb_relative_information_score
1.503163
kb_relative_information_score
2.540696
kb_relative_information_score
2.17709
kb_relative_information_score
2.396567
kb_relative_information_score
0.350696
kb_relative_information_score
3.222007
kb_relative_information_score
1.192094
kb_relative_information_score
1.005113
kb_relative_information_score
3.229382
kb_relative_information_score
1.006883
kb_relative_information_score
1.827076
kb_relative_information_score
2.067227
kb_relative_information_score
1.975221
kb_relative_information_score
1.873593
kb_relative_information_score
2.467938
kb_relative_information_score
2.446567
kb_relative_information_score
2.961665
kb_relative_information_score
3.079879
kb_relative_information_score
1.359594
kb_relative_information_score
1.368105
kb_relative_information_score
1.835173
mean_absolute_error
0.201296
mean_absolute_error
0.222741
mean_absolute_error
0.287198
mean_absolute_error
0.180382
mean_absolute_error
0.247404
mean_absolute_error
0.287522
mean_absolute_error
0.334647
mean_absolute_error
0.31531
mean_absolute_error
0.208701
mean_absolute_error
0.232838
mean_absolute_error
0.316034
mean_absolute_error
0.286066
mean_absolute_error
0.224607
mean_absolute_error
0.309561
mean_absolute_error
0.267078
mean_absolute_error
0.252703
mean_absolute_error
0.299836
mean_absolute_error
0.344637
mean_absolute_error
0.290191
mean_absolute_error
0.180849
mean_absolute_error
0.287077
mean_absolute_error
0.294928
mean_absolute_error
0.363888
mean_absolute_error
0.348967
mean_absolute_error
0.286601
mean_absolute_error
0.28113
mean_absolute_error
0.245566
mean_absolute_error
0.192924
mean_absolute_error
0.292906
mean_absolute_error
0.251073
mean_absolute_error
0.340601
mean_absolute_error
0.181265
mean_absolute_error
0.348674
mean_absolute_error
0.282163
mean_absolute_error
0.278486
mean_absolute_error
0.261322
mean_absolute_error
0.220461
mean_absolute_error
0.153875
mean_absolute_error
0.276009
mean_absolute_error
0.330445
mean_absolute_error
0.314495
mean_absolute_error
0.339606
mean_absolute_error
0.202877
mean_absolute_error
0.1549
mean_absolute_error
0.258819
mean_absolute_error
0.205628
mean_absolute_error
0.196926
mean_absolute_error
0.347997
mean_absolute_error
0.291245
mean_absolute_error
0.26689
mean_absolute_error
0.197344
mean_absolute_error
0.234103
mean_absolute_error
0.258233
mean_absolute_error
0.21568
mean_absolute_error
0.448172
mean_absolute_error
0.376042
mean_absolute_error
0.346388
mean_absolute_error
0.273634
mean_absolute_error
0.207784
mean_absolute_error
0.316003
mean_absolute_error
0.373426
mean_absolute_error
0.270337
mean_absolute_error
0.215257
mean_absolute_error
0.350771
mean_absolute_error
0.234558
mean_absolute_error
0.358424
mean_absolute_error
0.247508
mean_absolute_error
0.270601
mean_absolute_error
0.33041
mean_absolute_error
0.309365
mean_absolute_error
0.157335
mean_absolute_error
0.322703
mean_absolute_error
0.22916
mean_absolute_error
0.356175
mean_absolute_error
0.221386
mean_absolute_error
0.267429
mean_absolute_error
0.352861
mean_absolute_error
0.311791
mean_absolute_error
0.232866
mean_absolute_error
0.345758
mean_absolute_error
0.18421
mean_absolute_error
0.295268
mean_absolute_error
0.227207
mean_absolute_error
0.406407
mean_absolute_error
0.20265
mean_absolute_error
0.339977
mean_absolute_error
0.376991
mean_absolute_error
0.205611
mean_absolute_error
0.317383
mean_absolute_error
0.331017
mean_absolute_error
0.233218
mean_absolute_error
0.316963
mean_absolute_error
0.327549
mean_absolute_error
0.266767
mean_absolute_error
0.278523
mean_absolute_error
0.226026
mean_absolute_error
0.226103
mean_absolute_error
0.2948
mean_absolute_error
0.286923
mean_absolute_error
0.249556
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.418182
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.387879
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.414141
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.390303
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.390303
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.421818
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
mean_prior_absolute_error
0.385455
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [2,3,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [2,3,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,3,0]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
6 [3,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,3,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,3,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [2,2,1]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
number_of_instances
5 [3,2,0]
precision
0.722222 [1,0.666667,0]
precision
0.722222 [1,0.666667,0]
precision
0.722222 [1,0.666667,0]
precision
1 [1,1,1]
precision
0.722222 [0.666667,1,0]
precision
0.875 [1,0.75,1]
precision
0.444444 [0.333333,0.666667,0]
precision
0.583333 [0.666667,0.5,0]
precision
0.875 [0.75,1,1]
precision
0.875 [0.75,1,0]
precision
0.5 [0.5,0.666667,0]
precision
0.666667 [0.666667,0.5,1]
precision
1 [1,1,0]
precision
0.888889 [1,0.666667,1]
precision
0.541667 [0.75,0.5,0]
precision
0.875 [0.75,1,1]
precision
0.416667 [0.666667,0,0.5]
precision
0.666667 [0.666667,0.5,1]
precision
0.708333 [0.75,1,0]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.8 [1,0.5,0]
precision
0.733333 [1,0.333333,0]
precision
0.45 [0.75,0,0]
precision
0.6 [0.666667,0.5,0]
precision
0.45 [0.75,0,0]
precision
0.85 [0.75,1,0]
precision
0.866667 [0.666667,1,1]
precision
0.2 [0.5,0,0]
precision
0.6 [0.5,0.5,1]
precision
0.6 [1,0.5,0]
precision
1 [1,1,0]
precision
0.2 [0.5,0,0]
precision
0.6 [0.666667,0.5,0]
precision
0.8 [1,0.5,0]
precision
0.36 [0.6,0,0]
precision
0.85 [0.75,1,0]
precision
1 [1,1,1]
precision
0.6 [1,0.5,0]
precision
0.6 [0.5,1,0]
precision
0.466667 [1,0,0.333333]
precision
0.666667 [0.666667,1,0]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [0.666667,1,1]
precision
1 [1,1,1]
precision
0.6 [0.5,1,0]
precision
0.6 [0.5,0.5,1]
precision
0.866667 [0.666667,1,1]
precision
0.866667 [0.666667,1,1]
precision
0.866667 [0.666667,1,1]
precision
0.466667 [0.666667,0.5,0]
precision
1 [1,1,1]
precision
0.2 [0.5,0,0]
precision
0.3 [0.5,0,0.5]
precision
0.466667 [1,0,0.333333]
precision
0.6 [1,0.5,0]
precision
0.666667 [1,0.666667,0]
precision
0.466667 [0.666667,0.5,0]
precision
0.2 [0.5,0,0]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [0.666667,1,1]
precision
0.266667 [0.666667,0,0]
precision
0.866667 [1,0.666667,1]
precision
0.6 [1,0.5,0]
precision
0.6 [1,0.5,0]
precision
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precision
0.466667 [0.666667,0.5,0]
precision
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precision
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precision
0.6 [1,0.5,0]
precision
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precision
0.666667 [0.666667,1,0]
precision
1 [1,1,1]
precision
0.666667 [1,0.666667,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.6 [1,0.5,0]
precision
0.866667 [1,0.666667,1]
precision
0.266667 [0.666667,0,0]
precision
1 [1,1,0]
precision
0.6 [0.5,0.5,1]
precision
0.666667 [0.666667,1,0]
precision
0.333333 [0.5,0.333333,0]
precision
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precision
0.466667 [0.5,0.666667,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.866667 [0.666667,1,1]
precision
0.5 [0.5,0.5,0]
precision
0.6 [0.5,0.5,1]
precision
1 [1,1,0]
precision
0.6 [0.5,0.5,1]
precision
0.4 [0.5,0,1]
precision
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precision
0.866667 [0.666667,1,1]
precision
0.866667 [0.666667,1,1]
precision
0.866667 [1,0.666667,1]
precision
1 [1,1,0]
precision
0.6 [0.666667,0.5,0]
precision
0.866667 [1,0.666667,0]
predictive_accuracy
0.833333
predictive_accuracy
0.833333
predictive_accuracy
0.833333
predictive_accuracy
1
predictive_accuracy
0.833333
predictive_accuracy
0.833333
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.833333
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.833333
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predictive_accuracy
0.666667
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.666667
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
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predictive_accuracy
0.6
predictive_accuracy
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predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.6
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
1
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
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.2
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.6
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.6
predictive_accuracy
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predictive_accuracy
0.6
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
0.4
predictive_accuracy
0.6
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
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.8
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
prior_entropy
1.478161
recall
0.833333 [1,1,0]
recall
0.833333 [1,1,0]
recall
0.833333 [1,1,0]
recall
1 [1,1,1]
recall
0.833333 [1,1,0]
recall
0.833333 [0.5,1,1]
recall
0.5 [0.5,0.666667,0]
recall
0.5 [0.666667,0.333333,0]
recall
0.833333 [1,0.5,1]
recall
0.833333 [1,0.666667,0]
recall
0.5 [0.5,0.666667,0]
recall
0.666667 [0.666667,0.5,1]
recall
0.833333 [1,0.666667,0]
recall
0.833333 [0.666667,1,1]
recall
0.666667 [1,0.5,0]
recall
0.833333 [1,0.5,1]
recall
0.5 [0.666667,0,1]
recall
0.666667 [0.666667,0.5,1]
recall
0.666667 [1,0.5,0]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.6 [0.666667,0.5,0]
recall
0.4 [0.333333,0.5,0]
recall
0.6 [1,0,0]
recall
0.6 [0.666667,0.5,0]
recall
0.6 [1,0,0]
recall
0.8 [1,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.4 [1,0,0]
recall
0.6 [0.5,0.5,1]
recall
0.6 [0.5,1,0]
recall
1 [1,1,0]
recall
0.4 [1,0,0]
recall
0.6 [0.666667,0.5,0]
recall
0.6 [0.666667,0.5,0]
recall
0.6 [1,0,0]
recall
0.8 [1,0.5,0]
recall
1 [1,1,1]
recall
0.6 [0.5,1,0]
recall
0.6 [1,0.5,0]
recall
0.4 [0.5,0,1]
recall
0.8 [1,1,0]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.8 [1,1,0]
recall
0.8 [1,0.5,1]
recall
1 [1,1,1]
recall
0.6 [1,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
1 [1,1,1]
recall
0.2 [0.5,0,0]
recall
0.4 [0.5,0,1]
recall
0.4 [0.5,0,1]
recall
0.6 [0.5,1,0]
recall
0.8 [1,1,0]
recall
0.6 [1,0.5,0]
recall
0.4 [1,0,0]
recall
0.8 [1,1,0]
recall
0.8 [1,0.5,1]
recall
0.4 [1,0,0]
recall
0.8 [0.5,1,1]
recall
0.6 [0.5,1,0]
recall
0.6 [1,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.6 [1,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.8 [1,1,0]
recall
1 [1,1,1]
recall
0.8 [1,1,0]
recall
0.4 [0.5,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.4 [1,0,0]
recall
1 [1,1,0]
recall
0.6 [0.5,0.5,1]
recall
0.8 [1,1,0]
recall
0.4 [0.5,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.6 [0.5,1,0]
recall
0.4 [0.5,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.4 [0.5,0.333333,0]
recall
0.6 [0.5,0.5,1]
recall
1 [1,1,0]
recall
0.6 [0.5,0.5,1]
recall
0.6 [1,0,1]
recall
0.8 [1,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.8 [0.5,1,1]
recall
1 [1,1,0]
recall
0.6 [0.666667,0.5,0]
recall
0.8 [0.666667,1,0]
relative_absolute_error
0.486055
relative_absolute_error
0.537838
relative_absolute_error
0.693477
relative_absolute_error
0.431349
relative_absolute_error
0.591619
relative_absolute_error
0.687552
relative_absolute_error
0.800242
relative_absolute_error
0.812909
relative_absolute_error
0.503936
relative_absolute_error
0.600286
relative_absolute_error
0.755735
relative_absolute_error
0.690744
relative_absolute_error
0.579064
relative_absolute_error
0.747476
relative_absolute_error
0.644896
relative_absolute_error
0.610185
relative_absolute_error
0.723994
relative_absolute_error
0.832172
relative_absolute_error
0.700704
relative_absolute_error
0.436684
relative_absolute_error
0.680571
relative_absolute_error
0.765144
relative_absolute_error
0.94405
relative_absolute_error
0.905338
relative_absolute_error
0.743542
relative_absolute_error
0.729347
relative_absolute_error
0.637082
relative_absolute_error
0.457364
relative_absolute_error
0.694388
relative_absolute_error
0.595216
relative_absolute_error
0.807459
relative_absolute_error
0.464422
relative_absolute_error
0.826597
relative_absolute_error
0.732027
relative_absolute_error
0.722488
relative_absolute_error
0.677958
relative_absolute_error
0.571951
relative_absolute_error
0.36479
relative_absolute_error
0.654331
relative_absolute_error
0.783383
relative_absolute_error
0.745571
relative_absolute_error
0.805102
relative_absolute_error
0.480959
relative_absolute_error
0.367221
relative_absolute_error
0.613578
relative_absolute_error
0.48748
relative_absolute_error
0.466851
relative_absolute_error
0.824992
relative_absolute_error
0.690452
relative_absolute_error
0.632713
relative_absolute_error
0.467841
relative_absolute_error
0.554984
relative_absolute_error
0.61219
relative_absolute_error
0.511311
relative_absolute_error
1.062477
relative_absolute_error
0.891479
relative_absolute_error
0.821177
relative_absolute_error
0.648702
relative_absolute_error
0.492591
relative_absolute_error
0.749145
relative_absolute_error
0.885278
relative_absolute_error
0.640885
relative_absolute_error
0.510309
relative_absolute_error
0.83157
relative_absolute_error
0.556063
relative_absolute_error
0.849713
relative_absolute_error
0.586765
relative_absolute_error
0.64151
relative_absolute_error
0.783299
relative_absolute_error
0.733409
relative_absolute_error
0.372993
relative_absolute_error
0.765029
relative_absolute_error
0.543267
relative_absolute_error
0.844381
relative_absolute_error
0.524838
relative_absolute_error
0.633991
relative_absolute_error
0.836523
relative_absolute_error
0.73916
relative_absolute_error
0.552054
relative_absolute_error
0.819684
relative_absolute_error
0.477904
relative_absolute_error
0.69999
relative_absolute_error
0.538637
relative_absolute_error
0.963464
relative_absolute_error
0.480419
relative_absolute_error
0.80598
relative_absolute_error
0.893729
relative_absolute_error
0.487441
relative_absolute_error
0.813172
relative_absolute_error
0.784738
relative_absolute_error
0.605046
relative_absolute_error
0.751422
relative_absolute_error
0.776518
relative_absolute_error
0.632423
relative_absolute_error
0.660291
relative_absolute_error
0.535837
relative_absolute_error
0.536019
relative_absolute_error
0.76481
relative_absolute_error
0.744376
relative_absolute_error
0.647432
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.458888
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.424589
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.454465
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.427434
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.427434
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.462834
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_prior_squared_error
0.421724
root_mean_squared_error
0.281017
root_mean_squared_error
0.275521
root_mean_squared_error
0.377358
root_mean_squared_error
0.229296
root_mean_squared_error
0.317817
root_mean_squared_error
0.34843
root_mean_squared_error
0.413388
root_mean_squared_error
0.397902
root_mean_squared_error
0.349392
root_mean_squared_error
0.303474
root_mean_squared_error
0.40666
root_mean_squared_error
0.392523
root_mean_squared_error
0.303093
root_mean_squared_error
0.382563
root_mean_squared_error
0.345269
root_mean_squared_error
0.309669
root_mean_squared_error
0.385161
root_mean_squared_error
0.425377
root_mean_squared_error
0.373134
root_mean_squared_error
0.219919
root_mean_squared_error
0.3421
root_mean_squared_error
0.367937
root_mean_squared_error
0.475088
root_mean_squared_error
0.460809
root_mean_squared_error
0.39856
root_mean_squared_error
0.372748
root_mean_squared_error
0.365508
root_mean_squared_error
0.281831
root_mean_squared_error
0.362655
root_mean_squared_error
0.349242
root_mean_squared_error
0.444683
root_mean_squared_error
0.236796
root_mean_squared_error
0.454259
root_mean_squared_error
0.365118
root_mean_squared_error
0.378729
root_mean_squared_error
0.350452
root_mean_squared_error
0.29465
root_mean_squared_error
0.198894
root_mean_squared_error
0.335979
root_mean_squared_error
0.396291
root_mean_squared_error
0.390589
root_mean_squared_error
0.40272
root_mean_squared_error
0.250899
root_mean_squared_error
0.195082
root_mean_squared_error
0.3774
root_mean_squared_error
0.354693
root_mean_squared_error
0.24962
root_mean_squared_error
0.471105
root_mean_squared_error
0.389642
root_mean_squared_error
0.341643
root_mean_squared_error
0.311647
root_mean_squared_error
0.312427
root_mean_squared_error
0.343208
root_mean_squared_error
0.264539
root_mean_squared_error
0.532709
root_mean_squared_error
0.448415
root_mean_squared_error
0.403545
root_mean_squared_error
0.381112
root_mean_squared_error
0.302629
root_mean_squared_error
0.388669
root_mean_squared_error
0.473132
root_mean_squared_error
0.367802
root_mean_squared_error
0.276797
root_mean_squared_error
0.412218
root_mean_squared_error
0.297543
root_mean_squared_error
0.459734
root_mean_squared_error
0.344204
root_mean_squared_error
0.334035
root_mean_squared_error
0.42365
root_mean_squared_error
0.388791
root_mean_squared_error
0.221932
root_mean_squared_error
0.408706
root_mean_squared_error
0.333866
root_mean_squared_error
0.419466
root_mean_squared_error
0.273403
root_mean_squared_error
0.346346
root_mean_squared_error
0.423844
root_mean_squared_error
0.403622
root_mean_squared_error
0.298906
root_mean_squared_error
0.457329
root_mean_squared_error
0.239511
root_mean_squared_error
0.398063
root_mean_squared_error
0.316469
root_mean_squared_error
0.490682
root_mean_squared_error
0.284123
root_mean_squared_error
0.41265
root_mean_squared_error
0.472413
root_mean_squared_error
0.270576
root_mean_squared_error
0.388372
root_mean_squared_error
0.42697
root_mean_squared_error
0.274791
root_mean_squared_error
0.40003
root_mean_squared_error
0.439334
root_mean_squared_error
0.381029
root_mean_squared_error
0.358663
root_mean_squared_error
0.306211
root_mean_squared_error
0.277967
root_mean_squared_error
0.343463
root_mean_squared_error
0.37364
root_mean_squared_error
0.317441
root_relative_squared_error
0.618348
root_relative_squared_error
0.606254
root_relative_squared_error
0.830335
root_relative_squared_error
0.499677
root_relative_squared_error
0.69258
root_relative_squared_error
0.759291
root_relative_squared_error
0.900846
root_relative_squared_error
0.937146
root_relative_squared_error
0.768799
root_relative_squared_error
0.714747
root_relative_squared_error
0.886185
root_relative_squared_error
0.863704
root_relative_squared_error
0.71385
root_relative_squared_error
0.841788
root_relative_squared_error
0.759727
root_relative_squared_error
0.681393
root_relative_squared_error
0.847504
root_relative_squared_error
0.935997
root_relative_squared_error
0.82104
root_relative_squared_error
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