430613
2
Joaquin Vanschoren
4204
Supervised Classification
predictive_accuracy
1196
weka.RotationForest_PrincipalComponents_J48(14)
2062
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 10 -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
10
1196
W
weka.classifiers.trees.J48
1196
weka
weka_3.7.12
340
squash-stored
https://www.openml.org/data/download/52243/phpH2fvsy
-1
1504361
description
https://api.openml.org/data/download/1504361/weka_generated_run6329878852336970645.xml
-1
1504364
model_readable
https://api.openml.org/data/download/1504364/WekaModel_weka.classifiers.meta.RotationForest2008923259757830578.model
-1
1504363
model_serialized
https://api.openml.org/data/download/1504363/WekaSerialized_weka.classifiers.meta.RotationForest2851304468885313947.model
-1
1504362
predictions
https://api.openml.org/data/download/1504362/weka_generated_predictions224370767544186535.arff
area_under_roc_curve
0.823396 [0.863688,0.753303,0.891548]
average_cost
0
f_measure
0.691271 [0.775,0.638821,0.588235]
kappa
0.500996
kb_relative_information_score
213.408768
mean_absolute_error
0.275054
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
0.690411 [0.744,0.659898,0.616438]
predictive_accuracy
0.694231
prior_entropy
1.478161
recall
0.694231 [0.808696,0.619048,0.5625]
relative_absolute_error
0.665153
root_mean_prior_squared_error
0.45378
root_mean_squared_error
0.376887
root_relative_squared_error
0.83055
scimark_benchmark
941.954922 [559.2307353210181, 1014.1868590421574, 482.14720472367435, 907.7008274280431, 1746.5089819330503]
total_cost
0
usercpu_time_millis
50
usercpu_time_millis_testing
10
usercpu_time_millis_training
40
area_under_roc_curve
0.958333 [1,0.875,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.783333 [1,0.75,0.2]
area_under_roc_curve
0.958333 [0.875,1,1]
area_under_roc_curve
0.586111 [0.625,0.555556,0.6]
area_under_roc_curve
0.833333 [1,0.666667,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.958333 [1,0.875,1]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.619444 [0.625,0.555556,0.8]
area_under_roc_curve
0.375 [0.333333,0.125,1]
area_under_roc_curve
0.777778 [1,0.555556,0.0]
area_under_roc_curve
0.772222 [0.777778,0.75,0.8]
area_under_roc_curve
0.916667 [1,0.75,1]
area_under_roc_curve
0.958333 [1,0.875,1]
area_under_roc_curve
0.925 [1,0.875,0.8]
area_under_roc_curve
0.661111 [0.555556,0.75,0.8]
area_under_roc_curve
0.797222 [0.777778,0.875,0.7]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.766667 [0.833333,0.666667,0.0]
area_under_roc_curve
0.866667 [1,0.666667,0.0]
area_under_roc_curve
0.6 [0.666667,0.5,0.0]
area_under_roc_curve
0.333333 [0.333333,0.333333,0.0]
area_under_roc_curve
0.766667 [0.833333,0.666667,0.0]
area_under_roc_curve
0.833333 [0.833333,0.833333,0.0]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.933333 [0.833333,1,1]
area_under_roc_curve
0.466667 [0.5,0.666667,0]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.466667 [0.5,0.166667,1]
area_under_roc_curve
0.666667 [0.666667,0.666667,0.0]
area_under_roc_curve
0.866667 [1,0.666667,0.0]
area_under_roc_curve
1 [1,1,0.0]
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
0.816667 [1,0.666667,0.75]
area_under_roc_curve
0.683333 [1,0.333333,0.75]
area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.883333 [1,0.833333,0.75]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.733333 [0.666667,0.666667,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.8 [0.833333,0.666667,1]
area_under_roc_curve
0.933333 [0.833333,1,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.683333 [0.666667,0.666667,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.5 [0.5,0.5,0.5]
area_under_roc_curve
0.6 [0.5,0.5,1]
area_under_roc_curve
0.683333 [1,0.333333,0.75]
area_under_roc_curve
0.733333 [0.5,0.833333,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.733333 [0.75,0.583333,1]
area_under_roc_curve
0.816667 [1,0.666667,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.483333 [0.666667,0.166667,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.566667 [0.833333,0.333333,0.5]
area_under_roc_curve
0.816667 [1,0.666667,0.75]
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
0.766667 [1,0.666667,0.5]
area_under_roc_curve
0.833333 [0.75,0.833333,1]
area_under_roc_curve
0.766667 [1,0.666667,0.5]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.95 [1,1,0.75]
area_under_roc_curve
0.866667 [0.666667,1,1]
area_under_roc_curve
0.75 [1,0.5,0.75]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
0.933333 [1,0.833333,0.0]
area_under_roc_curve
0.8 [0.666667,0.833333,1]
area_under_roc_curve
0.833333 [1,0.833333,0.5]
area_under_roc_curve
0.616667 [0.833333,0.333333,0.75]
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
0.45 [0.416667,0.333333,0.75]
area_under_roc_curve
0.933333 [1,0.833333,1]
area_under_roc_curve
0.533333 [0.583333,0.5,0.0]
area_under_roc_curve
0.6 [0.5,0.5,1]
area_under_roc_curve
1 [1,1,0.0]
area_under_roc_curve
0.866667 [0.833333,0.833333,1]
area_under_roc_curve
0.466667 [0.5,0.166667,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.733333 [0.666667,0.666667,1]
area_under_roc_curve
0.666667 [0.666667,0.5,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.866667 [1,0.666667,0.0]
area_under_roc_curve
0.733333 [0.666667,0.833333,0.0]
area_under_roc_curve
1 [1,1,0.0]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
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average_cost
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f_measure
0.81746 [0.857143,0.666667,1]
f_measure
1 [1,1,1]
f_measure
0.766667 [1,0.8,0]
f_measure
0.833333 [0.8,0.8,1]
f_measure
0.333333 [0.4,0.4,0]
f_measure
0.844444 [1,0.8,0.666667]
f_measure
0.622222 [0.666667,0.8,0]
f_measure
1 [1,1,0]
f_measure
0.81746 [0.857143,0.666667,1]
f_measure
1 [1,1,0]
f_measure
0.333333 [0.5,0.333333,0]
f_measure
0.541667 [0.75,0,1]
f_measure
0.733333 [0.8,0.666667,0]
f_measure
0.5 [0.666667,0.5,0]
f_measure
0.595238 [0.857143,0.5,0]
f_measure
0.766667 [1,0.8,0]
f_measure
0.833333 [1,0.666667,0.666667]
f_measure
0.333333 [0.4,0.4,0]
f_measure
0.285714 [0.571429,0,0]
f_measure
0.766667 [1,0.8,0]
f_measure
0.8 [1,0.666667,0.666667]
f_measure
0.514286 [0.857143,0,0]
f_measure
0.46 [0.5,0.4,0]
f_measure
0.514286 [0.857143,0,0]
f_measure
0.342857 [0.571429,0,0]
f_measure
0.514286 [0.857143,0,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
0.6 [0.5,0.5,1]
f_measure
1 [1,1,1]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.8 [0.8,0.8,0]
f_measure
0.466667 [0.666667,0,1]
f_measure
0.6 [0.666667,0.5,0]
f_measure
0.68 [0.8,0.5,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
0.780952 [0.857143,0.666667,0]
f_measure
1 [1,1,1]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
0.266667 [0.666667,0,0]
f_measure
0.586667 [0.8,0.666667,0]
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
0.786667 [0.8,0.666667,1]
f_measure
0.533333 [0.666667,0.666667,0]
f_measure
1 [1,1,1]
f_measure
0.6 [0.5,0.5,1]
f_measure
0.786667 [0.8,0.666667,1]
f_measure
0.52 [0.8,0.5,0]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.8 [1,0.666667,0.666667]
f_measure
0.36 [0.5,0.4,0]
f_measure
0.36 [0.4,0.5,0]
f_measure
0.366667 [0.666667,0,0.5]
f_measure
0.533333 [0.666667,0.666667,0]
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
0.533333 [0.666667,0.666667,0]
f_measure
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f_measure
0.333333 [0.5,0,0.666667]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.426667 [0.666667,0.4,0]
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
0.786667 [0.666667,0.8,1]
f_measure
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f_measure
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f_measure
0.72 [1,0.8,0]
f_measure
0.786667 [0.666667,0.8,1]
f_measure
0.426667 [0.666667,0.4,0]
f_measure
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f_measure
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f_measure
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f_measure
0.72 [0.8,1,0]
f_measure
0.36 [0.5,0.4,0]
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
0.566667 [0.5,0.666667,0]
f_measure
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kappa
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kappa
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kappa
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kappa
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0.6875
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0.6875
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0.285714
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kb_relative_information_score
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kb_relative_information_score
1.965689
kb_relative_information_score
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kb_relative_information_score
0.782304
kb_relative_information_score
3.064889
kb_relative_information_score
2.538268
kb_relative_information_score
2.252826
kb_relative_information_score
3.874356
kb_relative_information_score
2.867513
kb_relative_information_score
1.15566
kb_relative_information_score
1.892253
kb_relative_information_score
1.48922
kb_relative_information_score
1.633262
kb_relative_information_score
2.538871
kb_relative_information_score
2.744243
kb_relative_information_score
2.699939
kb_relative_information_score
1.613741
kb_relative_information_score
1.227955
kb_relative_information_score
3.746526
kb_relative_information_score
2.627851
kb_relative_information_score
1.177304
kb_relative_information_score
0.586237
kb_relative_information_score
0.931454
kb_relative_information_score
0.752141
kb_relative_information_score
1.047419
kb_relative_information_score
1.715665
kb_relative_information_score
2.786445
kb_relative_information_score
2.911257
kb_relative_information_score
3.15291
kb_relative_information_score
0.998115
kb_relative_information_score
2.838331
kb_relative_information_score
1.541013
kb_relative_information_score
1.178661
kb_relative_information_score
1.417875
kb_relative_information_score
2.215511
kb_relative_information_score
1.82907
kb_relative_information_score
3.751865
kb_relative_information_score
2.712167
kb_relative_information_score
1.590382
kb_relative_information_score
1.086932
kb_relative_information_score
0.786719
kb_relative_information_score
4.338296
kb_relative_information_score
3.244463
kb_relative_information_score
1.993808
kb_relative_information_score
3.25546
kb_relative_information_score
3.316251
kb_relative_information_score
1.342692
kb_relative_information_score
3.01439
kb_relative_information_score
2.704436
kb_relative_information_score
2.729151
kb_relative_information_score
1.772969
kb_relative_information_score
0.963285
kb_relative_information_score
3.699418
kb_relative_information_score
0.636745
kb_relative_information_score
0.962732
kb_relative_information_score
1.405979
kb_relative_information_score
2.470631
kb_relative_information_score
2.967567
kb_relative_information_score
1.959589
kb_relative_information_score
2.168562
kb_relative_information_score
2.462963
kb_relative_information_score
3.358837
kb_relative_information_score
1.397412
kb_relative_information_score
2.833665
kb_relative_information_score
0.280974
kb_relative_information_score
2.48856
kb_relative_information_score
2.519306
kb_relative_information_score
1.274805
kb_relative_information_score
1.766985
kb_relative_information_score
2.8205
kb_relative_information_score
2.02083
kb_relative_information_score
2.681176
kb_relative_information_score
1.077009
kb_relative_information_score
3.465723
kb_relative_information_score
2.772638
kb_relative_information_score
2.208066
kb_relative_information_score
1.439855
kb_relative_information_score
3.376469
kb_relative_information_score
1.685884
kb_relative_information_score
2.178161
kb_relative_information_score
2.400524
kb_relative_information_score
1.997925
kb_relative_information_score
0.67045
kb_relative_information_score
3.080776
kb_relative_information_score
1.983402
kb_relative_information_score
0.349038
kb_relative_information_score
2.566519
kb_relative_information_score
-0.221928
kb_relative_information_score
1.68302
kb_relative_information_score
2.187531
kb_relative_information_score
1.7008
kb_relative_information_score
1.407154
kb_relative_information_score
3.048092
kb_relative_information_score
1.59738
kb_relative_information_score
2.548736
kb_relative_information_score
3.279479
kb_relative_information_score
1.181518
kb_relative_information_score
1.280353
kb_relative_information_score
2.320367
mean_absolute_error
0.183241
mean_absolute_error
0.218598
mean_absolute_error
0.295093
mean_absolute_error
0.152698
mean_absolute_error
0.371823
mean_absolute_error
0.259167
mean_absolute_error
0.2584
mean_absolute_error
0.241927
mean_absolute_error
0.18164
mean_absolute_error
0.201906
mean_absolute_error
0.350128
mean_absolute_error
0.340176
mean_absolute_error
0.29646
mean_absolute_error
0.32235
mean_absolute_error
0.278473
mean_absolute_error
0.273603
mean_absolute_error
0.272844
mean_absolute_error
0.346149
mean_absolute_error
0.336464
mean_absolute_error
0.198297
mean_absolute_error
0.261185
mean_absolute_error
0.294867
mean_absolute_error
0.341964
mean_absolute_error
0.318137
mean_absolute_error
0.327884
mean_absolute_error
0.300634
mean_absolute_error
0.244403
mean_absolute_error
0.230589
mean_absolute_error
0.222359
mean_absolute_error
0.191361
mean_absolute_error
0.364807
mean_absolute_error
0.157777
mean_absolute_error
0.353407
mean_absolute_error
0.29312
mean_absolute_error
0.27055
mean_absolute_error
0.196797
mean_absolute_error
0.238927
mean_absolute_error
0.147684
mean_absolute_error
0.250854
mean_absolute_error
0.303931
mean_absolute_error
0.380906
mean_absolute_error
0.37187
mean_absolute_error
0.099672
mean_absolute_error
0.213736
mean_absolute_error
0.269819
mean_absolute_error
0.197659
mean_absolute_error
0.187317
mean_absolute_error
0.311574
mean_absolute_error
0.230118
mean_absolute_error
0.245042
mean_absolute_error
0.247927
mean_absolute_error
0.330363
mean_absolute_error
0.346081
mean_absolute_error
0.14879
mean_absolute_error
0.426455
mean_absolute_error
0.383173
mean_absolute_error
0.355741
mean_absolute_error
0.267174
mean_absolute_error
0.223254
mean_absolute_error
0.27472
mean_absolute_error
0.296828
mean_absolute_error
0.252454
mean_absolute_error
0.19391
mean_absolute_error
0.35866
mean_absolute_error
0.243807
mean_absolute_error
0.409823
mean_absolute_error
0.257868
mean_absolute_error
0.2666
mean_absolute_error
0.3335
mean_absolute_error
0.296532
mean_absolute_error
0.239232
mean_absolute_error
0.254844
mean_absolute_error
0.254839
mean_absolute_error
0.343559
mean_absolute_error
0.192829
mean_absolute_error
0.19111
mean_absolute_error
0.295273
mean_absolute_error
0.317505
mean_absolute_error
0.185959
mean_absolute_error
0.345729
mean_absolute_error
0.208927
mean_absolute_error
0.271445
mean_absolute_error
0.255564
mean_absolute_error
0.382486
mean_absolute_error
0.213108
mean_absolute_error
0.27073
mean_absolute_error
0.423373
mean_absolute_error
0.260123
mean_absolute_error
0.417157
mean_absolute_error
0.343878
mean_absolute_error
0.216243
mean_absolute_error
0.345147
mean_absolute_error
0.365543
mean_absolute_error
0.213035
mean_absolute_error
0.34863
mean_absolute_error
0.269013
mean_absolute_error
0.199271
mean_absolute_error
0.304377
mean_absolute_error
0.290096
mean_absolute_error
0.198637
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
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number_of_instances
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number_of_instances
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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
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number_of_instances
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number_of_instances
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number_of_instances
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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
0.875 [0.75,1,1]
precision
1 [1,1,1]
precision
0.722222 [1,0.666667,0]
precision
0.888889 [0.666667,1,1]
precision
0.361111 [0.333333,0.5,0]
precision
0.916667 [1,1,0.5]
precision
0.666667 [0.5,1,0]
precision
1 [1,1,0]
precision
0.875 [0.75,1,1]
precision
1 [1,1,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.466667 [0.6,0,1]
precision
0.833333 [1,0.666667,0]
precision
0.5 [0.666667,0.5,0]
precision
0.541667 [0.75,0.5,0]
precision
0.722222 [1,0.666667,0]
precision
0.916667 [1,1,0.5]
precision
0.361111 [0.5,0.333333,0]
precision
0.25 [0.5,0,0]
precision
0.722222 [1,0.666667,0]
precision
0.9 [1,1,0.5]
precision
0.45 [0.75,0,0]
precision
0.733333 [1,0.333333,0]
precision
0.45 [0.75,0,0]
precision
0.3 [0.5,0,0]
precision
0.45 [0.75,0,0]
precision
0.85 [0.75,1,0]
precision
0.6 [0.5,0.5,1]
precision
1 [1,1,1]
precision
0.866667 [0.666667,1,1]
precision
0.6 [1,0.5,0]
precision
0.866667 [0.666667,1,0]
precision
0.4 [0.5,0,1]
precision
0.6 [0.666667,0.5,0]
precision
0.8 [1,0.5,0]
precision
0.85 [0.75,1,0]
precision
0.85 [0.75,1,0]
precision
1 [1,1,1]
precision
0.866667 [1,0.666667,1]
precision
0.6 [1,0.5,0]
precision
0.4 [1,0,0]
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
0.866667 [0.666667,1,1]
precision
0.6 [0.5,1,0]
precision
1 [1,1,1]
precision
0.6 [0.5,0.5,1]
precision
0.866667 [0.666667,1,1]
precision
0.466667 [0.666667,0.5,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.9 [1,1,0.5]
precision
0.333333 [0.5,0.333333,0]
precision
0.333333 [0.333333,0.5,0]
precision
0.466667 [1,0,0.333333]
precision
0.6 [1,0.5,0]
precision
1 [1,1,1]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [0.666667,1,1]
precision
0.6 [1,0.5,0]
precision
1 [1,1,1]
precision
0.3 [0.5,0,0.5]
precision
0.866667 [1,0.666667,1]
precision
0.533333 [1,0.333333,0]
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
0.866667 [1,0.666667,1]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [1,0.666667,1]
precision
0.466667 [0.5,0.666667,0]
precision
1 [1,1,1]
precision
0.666667 [1,0.666667,0]
precision
0.866667 [1,0.666667,1]
precision
0.533333 [1,0.333333,0]
precision
0.866667 [1,0.666667,1]
precision
0.366667 [0.666667,0,0.5]
precision
0.85 [0.75,1,0]
precision
0.6 [0.5,0.5,1]
precision
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precision
0.6 [1,0.5,0]
precision
0.866667 [0.666667,1,1]
precision
0.666667 [0.666667,1,0]
precision
0.333333 [0.5,0.333333,0]
precision
0.866667 [0.666667,1,1]
precision
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precision
0.6 [0.5,0.5,1]
precision
1 [1,1,0]
precision
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precision
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precision
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precision
0.6 [0.5,0.5,1]
precision
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precision
0.866667 [1,0.666667,1]
precision
0.8 [1,0.5,0]
precision
0.8 [0.666667,1,0]
precision
1 [1,1,0]
predictive_accuracy
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predictive_accuracy
1
predictive_accuracy
0.833333
predictive_accuracy
0.833333
predictive_accuracy
0.333333
predictive_accuracy
0.833333
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
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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
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predictive_accuracy
0.6
predictive_accuracy
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predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.4
predictive_accuracy
0.8
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
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predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
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predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.8
predictive_accuracy
0.2
predictive_accuracy
0.6
predictive_accuracy
1
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
1
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 [1,0.5,1]
recall
1 [1,1,1]
recall
0.833333 [1,1,0]
recall
0.833333 [1,0.666667,1]
recall
0.333333 [0.5,0.333333,0]
recall
0.833333 [1,0.666667,1]
recall
0.666667 [1,0.666667,0]
recall
1 [1,1,0]
recall
0.833333 [1,0.5,1]
recall
1 [1,1,0]
recall
0.333333 [0.5,0.333333,0]
recall
0.666667 [1,0,1]
recall
0.666667 [0.666667,0.666667,0]
recall
0.5 [0.666667,0.5,0]
recall
0.666667 [1,0.5,0]
recall
0.833333 [1,1,0]
recall
0.833333 [1,0.5,1]
recall
0.333333 [0.333333,0.5,0]
recall
0.333333 [0.666667,0,0]
recall
0.833333 [1,1,0]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0,0]
recall
0.4 [0.333333,0.5,0]
recall
0.6 [1,0,0]
recall
0.4 [0.666667,0,0]
recall
0.6 [1,0,0]
recall
0.8 [1,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
1 [1,1,1]
recall
0.8 [1,0.5,1]
recall
0.6 [0.5,1,0]
recall
0.8 [1,0.666667,0]
recall
0.6 [1,0,1]
recall
0.6 [0.666667,0.5,0]
recall
0.6 [0.666667,0.5,0]
recall
0.8 [1,0.5,0]
recall
0.8 [1,0.5,0]
recall
1 [1,1,1]
recall
0.8 [0.5,1,1]
recall
0.6 [0.5,1,0]
recall
0.2 [0.5,0,0]
recall
0.6 [1,0.5,0]
recall
1 [1,1,1]
recall
1 [1,1,1]
recall
0.8 [1,1,0]
recall
0.8 [1,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
1 [1,1,1]
recall
0.6 [0.5,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.4 [0.5,0.5,0]
recall
0.4 [0.5,0.5,0]
recall
0.4 [0.5,0,1]
recall
0.6 [0.5,1,0]
recall
1 [1,1,1]
recall
0.8 [1,1,0]
recall
0.8 [1,0.5,1]
recall
0.6 [0.5,1,0]
recall
1 [1,1,1]
recall
0.4 [0.5,0,1]
recall
0.8 [0.5,1,1]
recall
0.4 [0.5,0.5,0]
recall
0.6 [1,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.8 [1,1,0]
recall
0.8 [0.5,1,1]
recall
0.8 [1,1,0]
recall
0.8 [0.5,1,1]
recall
0.6 [0.5,1,0]
recall
1 [1,1,1]
recall
0.8 [1,1,0]
recall
0.8 [0.5,1,1]
recall
0.4 [0.5,0.5,0]
recall
0.8 [0.5,1,1]
recall
0.6 [1,0,1]
recall
0.8 [1,0.5,0]
recall
0.6 [0.5,0.5,1]
recall
0.6 [1,0.5,0]
recall
0.6 [0.5,1,0]
recall
0.8 [1,0.5,1]
recall
0.8 [1,1,0]
recall
0.4 [0.5,0.5,0]
recall
0.8 [1,0.5,1]
recall
0.2 [0.5,0,0]
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
0.6 [0.5,0.5,1]
recall
0.8 [1,0.5,1]
recall
0.8 [0.5,1,1]
recall
0.6 [0.333333,1,0]
recall
0.6 [0.666667,0.5,0]
recall
1 [1,1,0]
relative_absolute_error
0.442459
relative_absolute_error
0.527834
relative_absolute_error
0.712542
relative_absolute_error
0.365147
relative_absolute_error
0.889142
relative_absolute_error
0.619747
relative_absolute_error
0.617914
relative_absolute_error
0.623717
relative_absolute_error
0.438595
relative_absolute_error
0.520538
relative_absolute_error
0.837263
relative_absolute_error
0.821402
relative_absolute_error
0.764311
relative_absolute_error
0.778357
relative_absolute_error
0.672411
relative_absolute_error
0.660651
relative_absolute_error
0.658818
relative_absolute_error
0.835822
relative_absolute_error
0.812437
relative_absolute_error
0.478814
relative_absolute_error
0.619189
relative_absolute_error
0.764985
relative_absolute_error
0.887172
relative_absolute_error
0.825357
relative_absolute_error
0.850641
relative_absolute_error
0.779947
relative_absolute_error
0.634065
relative_absolute_error
0.546656
relative_absolute_error
0.527144
relative_absolute_error
0.453657
relative_absolute_error
0.864843
relative_absolute_error
0.404243
relative_absolute_error
0.837819
relative_absolute_error
0.760453
relative_absolute_error
0.701898
relative_absolute_error
0.510559
relative_absolute_error
0.619857
relative_absolute_error
0.350113
relative_absolute_error
0.594697
relative_absolute_error
0.720527
relative_absolute_error
0.90301
relative_absolute_error
0.881589
relative_absolute_error
0.236292
relative_absolute_error
0.506701
relative_absolute_error
0.639657
relative_absolute_error
0.468588
relative_absolute_error
0.444071
relative_absolute_error
0.738646
relative_absolute_error
0.545538
relative_absolute_error
0.580919
relative_absolute_error
0.587757
relative_absolute_error
0.783187
relative_absolute_error
0.820451
relative_absolute_error
0.352736
relative_absolute_error
1.010993
relative_absolute_error
0.908385
relative_absolute_error
0.843351
relative_absolute_error
0.633387
relative_absolute_error
0.529265
relative_absolute_error
0.651276
relative_absolute_error
0.703688
relative_absolute_error
0.598491
relative_absolute_error
0.4597
relative_absolute_error
0.850272
relative_absolute_error
0.577991
relative_absolute_error
0.971562
relative_absolute_error
0.611325
relative_absolute_error
0.632027
relative_absolute_error
0.790625
relative_absolute_error
0.702985
relative_absolute_error
0.567144
relative_absolute_error
0.604156
relative_absolute_error
0.604144
relative_absolute_error
0.814471
relative_absolute_error
0.457138
relative_absolute_error
0.453062
relative_absolute_error
0.7
relative_absolute_error
0.752706
relative_absolute_error
0.440851
relative_absolute_error
0.819616
relative_absolute_error
0.542028
relative_absolute_error
0.643511
relative_absolute_error
0.605862
relative_absolute_error
0.906755
relative_absolute_error
0.505213
relative_absolute_error
0.641817
relative_absolute_error
1.003686
relative_absolute_error
0.616672
relative_absolute_error
1.068803
relative_absolute_error
0.815228
relative_absolute_error
0.561008
relative_absolute_error
0.818236
relative_absolute_error
0.866588
relative_absolute_error
0.505041
relative_absolute_error
0.826493
relative_absolute_error
0.637747
relative_absolute_error
0.472409
relative_absolute_error
0.789657
relative_absolute_error
0.752608
relative_absolute_error
0.515332
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
0.256245
root_mean_squared_error
0.274548
root_mean_squared_error
0.3958
root_mean_squared_error
0.262617
root_mean_squared_error
0.470716
root_mean_squared_error
0.323015
root_mean_squared_error
0.377843
root_mean_squared_error
0.307831
root_mean_squared_error
0.289351
root_mean_squared_error
0.255474
root_mean_squared_error
0.44298
root_mean_squared_error
0.446952
root_mean_squared_error
0.381369
root_mean_squared_error
0.41378
root_mean_squared_error
0.356516
root_mean_squared_error
0.338171
root_mean_squared_error
0.341577
root_mean_squared_error
0.441619
root_mean_squared_error
0.424987
root_mean_squared_error
0.249933
root_mean_squared_error
0.34051
root_mean_squared_error
0.367273
root_mean_squared_error
0.473983
root_mean_squared_error
0.453675
root_mean_squared_error
0.477398
root_mean_squared_error
0.421701
root_mean_squared_error
0.357437
root_mean_squared_error
0.36388
root_mean_squared_error
0.302804
root_mean_squared_error
0.288996
root_mean_squared_error
0.478308
root_mean_squared_error
0.238801
root_mean_squared_error
0.502042
root_mean_squared_error
0.396289
root_mean_squared_error
0.381288
root_mean_squared_error
0.30397
root_mean_squared_error
0.312237
root_mean_squared_error
0.21185
root_mean_squared_error
0.311759
root_mean_squared_error
0.395135
root_mean_squared_error
0.468376
root_mean_squared_error
0.429319
root_mean_squared_error
0.146211
root_mean_squared_error
0.25824
root_mean_squared_error
0.400024
root_mean_squared_error
0.380054
root_mean_squared_error
0.285902
root_mean_squared_error
0.471527
root_mean_squared_error
0.270674
root_mean_squared_error
0.36863
root_mean_squared_error
0.328813
root_mean_squared_error
0.431658
root_mean_squared_error
0.458472
root_mean_squared_error
0.239735
root_mean_squared_error
0.521669
root_mean_squared_error
0.445417
root_mean_squared_error
0.427397
root_mean_squared_error
0.413381
root_mean_squared_error
0.302391
root_mean_squared_error
0.362165
root_mean_squared_error
0.431324
root_mean_squared_error
0.342495
root_mean_squared_error
0.264941
root_mean_squared_error
0.471083
root_mean_squared_error
0.302273
root_mean_squared_error
0.50592
root_mean_squared_error
0.380003
root_mean_squared_error
0.328587
root_mean_squared_error
0.416587
root_mean_squared_error
0.390603
root_mean_squared_error
0.320774
root_mean_squared_error
0.380065
root_mean_squared_error
0.40265
root_mean_squared_error
0.416082
root_mean_squared_error
0.236323
root_mean_squared_error
0.307698
root_mean_squared_error
0.370769
root_mean_squared_error
0.42514
root_mean_squared_error
0.278566
root_mean_squared_error
0.450572
root_mean_squared_error
0.292861
root_mean_squared_error
0.395796
root_mean_squared_error
0.362205
root_mean_squared_error
0.454134
root_mean_squared_error
0.299187
root_mean_squared_error
0.343846
root_mean_squared_error
0.529172
root_mean_squared_error
0.341757
root_mean_squared_error
0.517248
root_mean_squared_error
0.44681
root_mean_squared_error
0.289262
root_mean_squared_error
0.438958
root_mean_squared_error
0.477024
root_mean_squared_error
0.304897
root_mean_squared_error
0.448515
root_mean_squared_error
0.365478
root_mean_squared_error
0.27617
root_mean_squared_error
0.365913
root_mean_squared_error
0.419669
root_mean_squared_error
0.274265
root_relative_squared_error
0.563839
root_relative_squared_error
0.604113
root_relative_squared_error
0.870915
root_relative_squared_error
0.572289
root_relative_squared_error
1.025775
root_relative_squared_error
0.703908
root_relative_squared_error
0.823388
root_relative_squared_error
0.72501
root_relative_squared_error
0.636686
root_relative_squared_error
0.601698
root_relative_squared_error
0.965334
root_relative_squared_error
0.98347
root_relative_squared_error
0.898208
root_relative_squared_error
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