431000
2
Joaquin Vanschoren
4654
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
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
-1
1505894
description
https://api.openml.org/data/download/1505894/weka_generated_run7808268249348209256.xml
-1
1505897
model_readable
https://api.openml.org/data/download/1505897/WekaModel_weka.classifiers.meta.RotationForest4961554800912345634.model
-1
1505896
model_serialized
https://api.openml.org/data/download/1505896/WekaSerialized_weka.classifiers.meta.RotationForest4859640169781513667.model
-1
1505895
predictions
https://api.openml.org/data/download/1505895/weka_generated_predictions4373712057318598083.arff
area_under_roc_curve
0.781801 [0.799575,0.749701,0.795917]
average_cost
0
f_measure
0.601888 [0.599401,0.562437,0.642166]
kappa
0.402926
kb_relative_information_score
532.274972
mean_absolute_error
0.321662
mean_prior_absolute_error
0.444311
number_of_instances
1510 [490,500,520]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.602062 [0.587084,0.571134,0.645914]
predictive_accuracy
0.601987
prior_entropy
1.584538
recall
0.601987 [0.612245,0.554,0.638462]
relative_absolute_error
0.723957
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.41592
root_relative_squared_error
0.882434
scimark_benchmark
932.474384 [557.2654022646841, 1004.1454393001591, 435.06558031358963, 906.4453790826606, 1759.4501199261804]
total_cost
0
usercpu_time_millis
100
usercpu_time_millis_testing
10
usercpu_time_millis_training
90
area_under_roc_curve
0.666477 [0.581818,0.690909,0.716667]
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0.919318 [0.854545,0.927273,0.966667]
area_under_roc_curve
0.738068 [0.8,0.581818,0.816667]
area_under_roc_curve
0.672727 [0.690909,0.381818,0.9]
area_under_roc_curve
0.65625 [0.709091,0.690909,0.583333]
area_under_roc_curve
0.857386 [0.872727,0.890909,0.816667]
area_under_roc_curve
0.813068 [0.854545,0.727273,0.85]
area_under_roc_curve
0.697159 [0.818182,0.672727,0.616667]
area_under_roc_curve
0.917614 [0.909091,0.927273,0.916667]
area_under_roc_curve
0.839773 [0.890909,0.736364,0.883333]
area_under_roc_curve
0.833333 [1,0.82,0.68]
area_under_roc_curve
0.875286 [0.954545,0.84,0.851852]
area_under_roc_curve
0.855219 [0.818182,1,0.759259]
area_under_roc_curve
0.697104 [0.636364,0.76,0.685185]
area_under_roc_curve
0.952458 [0.977273,0.92,0.962963]
area_under_roc_curve
0.5 [0.46,0.74,0.3]
area_under_roc_curve
0.892054 [0.909091,0.86,0.907407]
area_under_roc_curve
0.66 [0.64,0.52,0.82]
area_under_roc_curve
0.693333 [0.78,0.54,0.76]
area_under_roc_curve
0.715421 [0.727273,0.62,0.787037]
area_under_roc_curve
0.893333 [0.86,0.92,0.9]
area_under_roc_curve
0.693333 [0.76,0.66,0.66]
area_under_roc_curve
0.726667 [0.88,0.66,0.64]
area_under_roc_curve
0.88 [0.86,0.98,0.8]
area_under_roc_curve
0.66 [0.67,0.58,0.73]
area_under_roc_curve
0.866667 [0.84,0.9,0.86]
area_under_roc_curve
0.56 [0.52,0.68,0.48]
area_under_roc_curve
0.8 [0.78,0.76,0.86]
area_under_roc_curve
0.706667 [0.84,0.56,0.72]
area_under_roc_curve
0.82 [0.86,0.74,0.86]
area_under_roc_curve
0.86 [0.8,0.98,0.8]
area_under_roc_curve
0.92 [0.92,0.96,0.88]
area_under_roc_curve
0.86 [0.8,0.86,0.92]
area_under_roc_curve
0.753333 [0.76,0.66,0.84]
area_under_roc_curve
0.72 [0.82,0.66,0.68]
area_under_roc_curve
0.62 [0.72,0.54,0.6]
area_under_roc_curve
0.573333 [0.22,0.6,0.9]
area_under_roc_curve
0.82 [0.8,0.88,0.78]
area_under_roc_curve
0.76 [0.84,0.6,0.84]
area_under_roc_curve
0.786667 [0.94,0.66,0.76]
area_under_roc_curve
0.84 [0.82,0.82,0.88]
area_under_roc_curve
0.833333 [0.88,0.78,0.84]
area_under_roc_curve
0.826667 [0.8,0.8,0.88]
area_under_roc_curve
0.76 [0.76,0.6,0.92]
area_under_roc_curve
0.746667 [0.8,0.64,0.8]
area_under_roc_curve
0.893333 [0.92,0.78,0.98]
area_under_roc_curve
0.773333 [0.88,0.7,0.74]
area_under_roc_curve
0.906667 [0.9,0.82,1]
area_under_roc_curve
0.82 [0.84,0.86,0.76]
area_under_roc_curve
0.753333 [0.84,0.64,0.78]
area_under_roc_curve
0.746667 [0.78,0.72,0.74]
area_under_roc_curve
0.613333 [0.67,0.58,0.59]
area_under_roc_curve
0.746667 [0.74,0.88,0.62]
area_under_roc_curve
0.756667 [0.74,0.8,0.73]
area_under_roc_curve
0.8 [0.88,0.68,0.84]
area_under_roc_curve
0.48 [0.42,0.46,0.56]
area_under_roc_curve
0.933333 [0.88,0.92,1]
area_under_roc_curve
0.88 [0.9,0.88,0.86]
area_under_roc_curve
0.76 [0.68,0.82,0.78]
area_under_roc_curve
0.806667 [0.76,0.84,0.82]
area_under_roc_curve
0.62 [0.62,0.64,0.6]
area_under_roc_curve
0.826667 [0.86,0.88,0.74]
area_under_roc_curve
0.706667 [0.66,0.66,0.8]
area_under_roc_curve
0.593333 [0.7,0.42,0.66]
area_under_roc_curve
0.813333 [0.76,0.82,0.86]
area_under_roc_curve
0.98 [0.94,1,1]
area_under_roc_curve
0.806667 [0.94,0.68,0.8]
area_under_roc_curve
0.713333 [0.72,0.78,0.64]
area_under_roc_curve
0.693333 [0.66,0.64,0.78]
area_under_roc_curve
0.52 [0.64,0.44,0.48]
area_under_roc_curve
0.7 [0.84,0.58,0.68]
area_under_roc_curve
0.66 [0.6,0.57,0.81]
area_under_roc_curve
0.946667 [0.9,0.94,1]
area_under_roc_curve
0.806667 [0.68,0.94,0.8]
area_under_roc_curve
0.813333 [0.7,0.8,0.94]
area_under_roc_curve
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area_under_roc_curve
0.853333 [0.9,0.86,0.8]
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
0.853333 [0.84,0.84,0.88]
area_under_roc_curve
0.726667 [0.68,0.66,0.84]
area_under_roc_curve
0.946667 [1,0.96,0.88]
area_under_roc_curve
0.913333 [0.96,0.94,0.84]
area_under_roc_curve
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area_under_roc_curve
0.773333 [0.9,0.76,0.66]
area_under_roc_curve
0.906667 [0.98,0.86,0.88]
area_under_roc_curve
0.746667 [0.74,0.7,0.8]
area_under_roc_curve
0.786667 [0.88,0.72,0.76]
area_under_roc_curve
0.945657 [0.954545,0.94,0.944444]
area_under_roc_curve
0.72 [0.86,0.6,0.7]
area_under_roc_curve
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area_under_roc_curve
0.753333 [0.74,0.7,0.82]
area_under_roc_curve
0.933333 [0.98,0.84,0.98]
area_under_roc_curve
0.826869 [0.909091,0.82,0.777778]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.842694 [0.704545,0.92,0.87037]
area_under_roc_curve
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f_measure
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f_measure
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f_measure
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0.703947
kappa
0.2
kappa
0.407895
kappa
0.594595
kappa
0.3
kb_relative_information_score
3.399143
kb_relative_information_score
7.312188
kb_relative_information_score
4.919224
kb_relative_information_score
3.394785
kb_relative_information_score
3.812749
kb_relative_information_score
6.887604
kb_relative_information_score
4.909947
kb_relative_information_score
3.618045
kb_relative_information_score
8.040085
kb_relative_information_score
5.715439
kb_relative_information_score
6.760156
kb_relative_information_score
7.821735
kb_relative_information_score
5.156637
kb_relative_information_score
5.066551
kb_relative_information_score
8.587501
kb_relative_information_score
0.429951
kb_relative_information_score
6.882128
kb_relative_information_score
3.072159
kb_relative_information_score
4.054633
kb_relative_information_score
4.540334
kb_relative_information_score
6.36936
kb_relative_information_score
3.584802
kb_relative_information_score
4.389755
kb_relative_information_score
6.775586
kb_relative_information_score
3.444867
kb_relative_information_score
5.879111
kb_relative_information_score
2.676306
kb_relative_information_score
5.445002
kb_relative_information_score
3.676141
kb_relative_information_score
5.920774
kb_relative_information_score
5.756304
kb_relative_information_score
7.062834
kb_relative_information_score
6.836731
kb_relative_information_score
4.394395
kb_relative_information_score
4.502971
kb_relative_information_score
2.748322
kb_relative_information_score
3.667694
kb_relative_information_score
6.18074
kb_relative_information_score
4.979249
kb_relative_information_score
4.581849
kb_relative_information_score
6.458253
kb_relative_information_score
5.552305
kb_relative_information_score
5.511692
kb_relative_information_score
4.704582
kb_relative_information_score
4.714723
kb_relative_information_score
7.307724
kb_relative_information_score
5.143636
kb_relative_information_score
7.012101
kb_relative_information_score
5.403103
kb_relative_information_score
4.572492
kb_relative_information_score
5.464341
kb_relative_information_score
3.074288
kb_relative_information_score
5.257999
kb_relative_information_score
5.008213
kb_relative_information_score
5.24863
kb_relative_information_score
1.228792
kb_relative_information_score
6.703336
kb_relative_information_score
7.372499
kb_relative_information_score
4.66434
kb_relative_information_score
6.869238
kb_relative_information_score
2.563874
kb_relative_information_score
5.264786
kb_relative_information_score
4.222185
kb_relative_information_score
2.238719
kb_relative_information_score
5.974364
kb_relative_information_score
8.945671
kb_relative_information_score
6.01482
kb_relative_information_score
4.64558
kb_relative_information_score
4.412506
kb_relative_information_score
1.42599
kb_relative_information_score
5.010698
kb_relative_information_score
2.269569
kb_relative_information_score
8.044596
kb_relative_information_score
5.64738
kb_relative_information_score
5.99871
kb_relative_information_score
5.410196
kb_relative_information_score
5.493766
kb_relative_information_score
4.480113
kb_relative_information_score
6.332493
kb_relative_information_score
5.517113
kb_relative_information_score
5.341683
kb_relative_information_score
5.629652
kb_relative_information_score
4.253477
kb_relative_information_score
9.075762
kb_relative_information_score
7.785721
kb_relative_information_score
8.651796
kb_relative_information_score
4.461227
kb_relative_information_score
6.262442
kb_relative_information_score
5.646861
kb_relative_information_score
5.089598
kb_relative_information_score
7.407675
kb_relative_information_score
4.854399
kb_relative_information_score
6.137053
kb_relative_information_score
4.136387
kb_relative_information_score
9.337217
kb_relative_information_score
7.635198
kb_relative_information_score
4.5787
kb_relative_information_score
5.252118
kb_relative_information_score
6.463311
kb_relative_information_score
3.835489
mean_absolute_error
0.37818
mean_absolute_error
0.276859
mean_absolute_error
0.343143
mean_absolute_error
0.374255
mean_absolute_error
0.377915
mean_absolute_error
0.290675
mean_absolute_error
0.342073
mean_absolute_error
0.374493
mean_absolute_error
0.25855
mean_absolute_error
0.318966
mean_absolute_error
0.28862
mean_absolute_error
0.242396
mean_absolute_error
0.318131
mean_absolute_error
0.328968
mean_absolute_error
0.221334
mean_absolute_error
0.453111
mean_absolute_error
0.279306
mean_absolute_error
0.378797
mean_absolute_error
0.358022
mean_absolute_error
0.348258
mean_absolute_error
0.292303
mean_absolute_error
0.373555
mean_absolute_error
0.352524
mean_absolute_error
0.283529
mean_absolute_error
0.375889
mean_absolute_error
0.308352
mean_absolute_error
0.407616
mean_absolute_error
0.317964
mean_absolute_error
0.363008
mean_absolute_error
0.305533
mean_absolute_error
0.303489
mean_absolute_error
0.273678
mean_absolute_error
0.267378
mean_absolute_error
0.33485
mean_absolute_error
0.343983
mean_absolute_error
0.397496
mean_absolute_error
0.367211
mean_absolute_error
0.295629
mean_absolute_error
0.331507
mean_absolute_error
0.341297
mean_absolute_error
0.281579
mean_absolute_error
0.317178
mean_absolute_error
0.315562
mean_absolute_error
0.342661
mean_absolute_error
0.328892
mean_absolute_error
0.264412
mean_absolute_error
0.320336
mean_absolute_error
0.263877
mean_absolute_error
0.315412
mean_absolute_error
0.34272
mean_absolute_error
0.327841
mean_absolute_error
0.386848
mean_absolute_error
0.324484
mean_absolute_error
0.333153
mean_absolute_error
0.320766
mean_absolute_error
0.436701
mean_absolute_error
0.279666
mean_absolute_error
0.260535
mean_absolute_error
0.334641
mean_absolute_error
0.278699
mean_absolute_error
0.404632
mean_absolute_error
0.325998
mean_absolute_error
0.347719
mean_absolute_error
0.412636
mean_absolute_error
0.293426
mean_absolute_error
0.216417
mean_absolute_error
0.301769
mean_absolute_error
0.338867
mean_absolute_error
0.347609
mean_absolute_error
0.436726
mean_absolute_error
0.333391
mean_absolute_error
0.395124
mean_absolute_error
0.23725
mean_absolute_error
0.313266
mean_absolute_error
0.296751
mean_absolute_error
0.327824
mean_absolute_error
0.320525
mean_absolute_error
0.349604
mean_absolute_error
0.292799
mean_absolute_error
0.316117
mean_absolute_error
0.312518
mean_absolute_error
0.318168
mean_absolute_error
0.352535
mean_absolute_error
0.216362
mean_absolute_error
0.259472
mean_absolute_error
0.234866
mean_absolute_error
0.329315
mean_absolute_error
0.30569
mean_absolute_error
0.312927
mean_absolute_error
0.338049
mean_absolute_error
0.256061
mean_absolute_error
0.33501
mean_absolute_error
0.294064
mean_absolute_error
0.351853
mean_absolute_error
0.209448
mean_absolute_error
0.248076
mean_absolute_error
0.336237
mean_absolute_error
0.326113
mean_absolute_error
0.284567
mean_absolute_error
0.363691
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.443994
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.443579
mean_prior_absolute_error
0.444444
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
16 [5,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
number_of_instances
15 [4,5,6]
number_of_instances
15 [4,5,6]
number_of_instances
15 [5,5,5]
precision
0.454167 [0.4,0.333333,0.6]
precision
0.752232 [0.75,0.8,0.714286]
precision
0.494792 [0.5,0.333333,0.625]
precision
0.404167 [0.333333,0,0.8]
precision
0.552083 [0.5,0.666667,0.5]
precision
0.71875 [0.6,0.5,1]
precision
0.578869 [0.5,0.666667,0.571429]
precision
0.36875 [0.5,0.2,0.4]
precision
0.830357 [1,0.8,0.714286]
precision
0.7375 [1,0.4,0.8]
precision
0.746032 [1,0.571429,0.666667]
precision
0.777143 [1,0.571429,0.8]
precision
0.622222 [0.333333,1,0.5]
precision
0.555556 [0.333333,0.5,0.75]
precision
0.824762 [1,0.714286,0.8]
precision
0.180952 [0,0.4,0.142857]
precision
0.774603 [1,0.666667,0.714286]
precision
0.494444 [0.4,0.333333,0.75]
precision
0.533333 [0.6,0.5,0.5]
precision
0.62 [0.5,0.5,0.8]
precision
0.690476 [0.571429,0.75,0.75]
precision
0.5 [0.666667,0.5,0.333333]
precision
0.642857 [0.5,0.428571,1]
precision
0.77381 [0.571429,0.75,1]
precision
0.619048 [0.428571,1,0.428571]
precision
0.738889 [0.666667,0.75,0.8]
precision
0.597222 [0.375,0.75,0.666667]
precision
0.607143 [0.5,0.75,0.571429]
precision
0.342857 [0.6,0,0.428571]
precision
0.605556 [0.75,0.4,0.666667]
precision
0.5 [0.5,0.666667,0.333333]
precision
0.794444 [0.833333,0.8,0.75]
precision
0.666667 [0.5,1,0.5]
precision
0.527778 [0.75,0.333333,0.5]
precision
0.533333 [0.6,0.5,0.5]
precision
0.466667 [0.4,0.5,0.5]
precision
0.481481 [0,0.444444,1]
precision
0.738889 [0.666667,0.8,0.75]
precision
0.6 [0.6,0.4,0.8]
precision
0.6 [0.8,0.4,0.6]
precision
0.588889 [0.5,0.6,0.666667]
precision
0.72381 [1,0.571429,0.6]
precision
0.631746 [0.428571,0.666667,0.8]
precision
0.666667 [0.666667,0.666667,0.666667]
precision
0.611111 [0.5,0.333333,1]
precision
0.808333 [0.625,1,0.8]
precision
0.52381 [0.571429,0.5,0.5]
precision
0.727778 [0.75,0.6,0.833333]
precision
0.555556 [0.5,0.666667,0.5]
precision
0.5 [0.666667,0.333333,0.5]
precision
0.738889 [0.666667,0.75,0.8]
precision
0.577778 [0.4,0.333333,1]
precision
0.616667 [0.6,0.75,0.5]
precision
0.616667 [0.5,0.6,0.75]
precision
0.52381 [0.5,0.5,0.571429]
precision
0.345238 [0.285714,0.25,0.5]
precision
0.794444 [0.75,0.8,0.833333]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.477778 [0.333333,0.5,0.6]
precision
0.738889 [0.8,0.75,0.666667]
precision
0.481481 [0.333333,0.666667,0.444444]
precision
0.738889 [0.8,0.75,0.666667]
precision
0.466667 [0.4,0.4,0.6]
precision
0.466667 [0.4,0.4,0.6]
precision
0.611111 [0.666667,0.5,0.666667]
precision
0.904762 [1,1,0.714286]
precision
0.644444 [0.833333,0.5,0.6]
precision
0.612698 [0.571429,0.666667,0.6]
precision
0.591667 [0.375,0.4,1]
precision
0.261905 [0.25,0.285714,0.25]
precision
0.607143 [0.571429,0.5,0.75]
precision
0.288889 [0.2,0.166667,0.5]
precision
0.821429 [0.75,1,0.714286]
precision
0.714286 [1,0.714286,0.428571]
precision
0.666667 [0.5,0.5,1]
precision
0.791667 [0.75,1,0.625]
precision
0.766667 [0.5,0.8,1]
precision
0.642857 [0.428571,0.5,1]
precision
0.72381 [1,0.6,0.571429]
precision
0.654762 [0.5,0.714286,0.75]
precision
0.675 [1,0.4,0.625]
precision
0.738889 [0.8,0.666667,0.75]
precision
0.466667 [0.4,0.5,0.5]
precision
0.866667 [1,0.8,0.8]
precision
0.888889 [0.833333,0.833333,1]
precision
0.944444 [0.833333,1,1]
precision
0.539683 [1,0.333333,0.285714]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.612698 [0.571429,0.666667,0.6]
precision
0.672222 [0.666667,0.6,0.75]
precision
0.667937 [0.6,0.666667,0.714286]
precision
0.575 [0.625,0.5,0.6]
precision
0.738095 [0.714286,0.75,0.75]
precision
0.466667 [0.5,0.4,0.5]
precision
0.877778 [0.8,1,0.833333]
precision
0.844444 [0.666667,0.8,1]
precision
0.47619 [0.428571,0.5,0.5]
precision
0.622857 [0.8,0.428571,0.666667]
precision
0.735873 [0.666667,0.714286,0.8]
precision
0.533333 [0.5,0.5,0.6]
predictive_accuracy
0.4375
predictive_accuracy
0.75
predictive_accuracy
0.5
predictive_accuracy
0.375
predictive_accuracy
0.5625
predictive_accuracy
0.625
predictive_accuracy
0.5625
predictive_accuracy
0.375
predictive_accuracy
0.8125
predictive_accuracy
0.5625
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.2
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.533333
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.533333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.533333
predictive_accuracy
0.333333
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.466667
predictive_accuracy
0.6
predictive_accuracy
0.866667
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.466667
predictive_accuracy
0.266667
predictive_accuracy
0.6
predictive_accuracy
0.266667
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.666667
predictive_accuracy
0.533333
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.4
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.866667
predictive_accuracy
0.8
predictive_accuracy
0.466667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.533333
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
prior_entropy
1.584538
recall
0.4375 [0.4,0.4,0.5]
recall
0.75 [0.6,0.8,0.833333]
recall
0.5 [0.2,0.4,0.833333]
recall
0.375 [0.4,0,0.666667]
recall
0.5625 [0.4,0.8,0.5]
recall
0.625 [0.6,0.8,0.5]
recall
0.5625 [0.6,0.4,0.666667]
recall
0.375 [0.6,0.2,0.333333]
recall
0.8125 [0.8,0.8,0.833333]
recall
0.5625 [0.2,0.8,0.666667]
recall
0.733333 [1,0.8,0.4]
recall
0.733333 [0.75,0.8,0.666667]
recall
0.466667 [0.75,0.4,0.333333]
recall
0.533333 [0.25,0.8,0.5]
recall
0.8 [0.75,1,0.666667]
recall
0.2 [0,0.4,0.2]
recall
0.733333 [0.5,0.8,0.833333]
recall
0.466667 [0.4,0.4,0.6]
recall
0.533333 [0.6,0.2,0.8]
recall
0.6 [0.75,0.4,0.666667]
recall
0.666667 [0.8,0.6,0.6]
recall
0.533333 [0.8,0.6,0.2]
recall
0.533333 [0.6,0.6,0.4]
recall
0.733333 [0.8,0.6,0.8]
recall
0.466667 [0.6,0.2,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.533333 [0.6,0.6,0.4]
recall
0.6 [0.4,0.6,0.8]
recall
0.4 [0.6,0,0.6]
recall
0.6 [0.6,0.4,0.8]
recall
0.533333 [0.6,0.8,0.2]
recall
0.8 [1,0.8,0.6]
recall
0.6 [0.4,0.6,0.8]
recall
0.533333 [0.6,0.2,0.8]
recall
0.533333 [0.6,0.4,0.6]
recall
0.466667 [0.4,0.6,0.4]
recall
0.533333 [0,0.8,0.8]
recall
0.733333 [0.8,0.8,0.6]
recall
0.6 [0.6,0.4,0.8]
recall
0.6 [0.8,0.4,0.6]
recall
0.6 [0.4,0.6,0.8]
recall
0.666667 [0.6,0.8,0.6]
recall
0.6 [0.6,0.4,0.8]
recall
0.666667 [0.8,0.4,0.8]
recall
0.466667 [0.8,0.4,0.2]
recall
0.733333 [1,0.4,0.8]
recall
0.533333 [0.8,0.4,0.4]
recall
0.733333 [0.6,0.6,1]
recall
0.533333 [0.6,0.4,0.6]
recall
0.533333 [0.8,0.2,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.466667 [0.8,0.2,0.4]
recall
0.6 [0.6,0.6,0.6]
recall
0.6 [0.6,0.6,0.6]
recall
0.533333 [0.6,0.2,0.8]
recall
0.333333 [0.4,0.2,0.4]
recall
0.8 [0.6,0.8,1]
recall
0.733333 [0.6,0.8,0.8]
recall
0.466667 [0.4,0.4,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.466667 [0.2,0.4,0.8]
recall
0.733333 [0.8,0.6,0.8]
recall
0.466667 [0.4,0.4,0.6]
recall
0.466667 [0.4,0.4,0.6]
recall
0.6 [0.4,0.6,0.8]
recall
0.866667 [0.6,1,1]
recall
0.666667 [1,0.4,0.6]
recall
0.6 [0.8,0.4,0.6]
recall
0.466667 [0.6,0.4,0.4]
recall
0.266667 [0.2,0.4,0.2]
recall
0.6 [0.8,0.4,0.6]
recall
0.266667 [0.2,0.2,0.4]
recall
0.8 [0.6,0.8,1]
recall
0.6 [0.2,1,0.6]
recall
0.6 [0.2,1,0.6]
recall
0.733333 [0.6,0.6,1]
recall
0.666667 [0.8,0.8,0.4]
recall
0.533333 [0.6,0.6,0.4]
recall
0.666667 [0.6,0.6,0.8]
recall
0.666667 [0.4,1,0.6]
recall
0.6 [0.4,0.4,1]
recall
0.733333 [0.8,0.8,0.6]
recall
0.466667 [0.4,0.4,0.6]
recall
0.866667 [1,0.8,0.8]
recall
0.866667 [1,1,0.6]
recall
0.933333 [1,0.8,1]
recall
0.4 [0.4,0.4,0.4]
recall
0.733333 [0.6,0.8,0.8]
recall
0.6 [0.8,0.4,0.6]
recall
0.666667 [0.8,0.6,0.6]
recall
0.666667 [0.75,0.4,0.833333]
recall
0.6 [1,0.2,0.6]
recall
0.733333 [1,0.6,0.6]
recall
0.466667 [0.4,0.4,0.6]
recall
0.866667 [0.8,0.8,1]
recall
0.8 [1,0.8,0.666667]
recall
0.466667 [0.6,0.2,0.6]
recall
0.6 [1,0.6,0.333333]
recall
0.733333 [0.5,1,0.666667]
recall
0.533333 [0.6,0.4,0.6]
relative_absolute_error
0.851768
relative_absolute_error
0.623564
relative_absolute_error
0.772857
relative_absolute_error
0.842929
relative_absolute_error
0.851172
relative_absolute_error
0.654683
relative_absolute_error
0.770446
relative_absolute_error
0.843465
relative_absolute_error
0.582328
relative_absolute_error
0.718402
relative_absolute_error
0.649395
relative_absolute_error
0.546456
relative_absolute_error
0.717193
relative_absolute_error
0.741622
relative_absolute_error
0.498973
relative_absolute_error
1.019501
relative_absolute_error
0.629666
relative_absolute_error
0.852293
relative_absolute_error
0.80555
relative_absolute_error
0.785109
relative_absolute_error
0.657682
relative_absolute_error
0.840499
relative_absolute_error
0.793179
relative_absolute_error
0.637941
relative_absolute_error
0.84575
relative_absolute_error
0.693792
relative_absolute_error
0.917137
relative_absolute_error
0.715419
relative_absolute_error
0.816767
relative_absolute_error
0.687449
relative_absolute_error
0.682851
relative_absolute_error
0.615775
relative_absolute_error
0.6016
relative_absolute_error
0.753413
relative_absolute_error
0.773961
relative_absolute_error
0.894366
relative_absolute_error
0.826224
relative_absolute_error
0.665166
relative_absolute_error
0.745892
relative_absolute_error
0.767917
relative_absolute_error
0.633553
relative_absolute_error
0.713651
relative_absolute_error
0.710015
relative_absolute_error
0.770986
relative_absolute_error
0.740007
relative_absolute_error
0.594928
relative_absolute_error
0.720757
relative_absolute_error
0.593723
relative_absolute_error
0.709678
relative_absolute_error
0.771121
relative_absolute_error
0.737643
relative_absolute_error
0.870409
relative_absolute_error
0.730088
relative_absolute_error
0.749594
relative_absolute_error
0.721722
relative_absolute_error
0.982578
relative_absolute_error
0.629249
relative_absolute_error
0.586204
relative_absolute_error
0.752943
relative_absolute_error
0.627072
relative_absolute_error
0.910421
relative_absolute_error
0.733496
relative_absolute_error
0.782368
relative_absolute_error
0.928431
relative_absolute_error
0.660209
relative_absolute_error
0.486938
relative_absolute_error
0.678981
relative_absolute_error
0.762451
relative_absolute_error
0.782121
relative_absolute_error
0.982633
relative_absolute_error
0.75013
relative_absolute_error
0.88903
relative_absolute_error
0.533812
relative_absolute_error
0.704849
relative_absolute_error
0.667689
relative_absolute_error
0.737604
relative_absolute_error
0.721182
relative_absolute_error
0.786609
relative_absolute_error
0.658798
relative_absolute_error
0.711264
relative_absolute_error
0.703165
relative_absolute_error
0.715879
relative_absolute_error
0.793205
relative_absolute_error
0.486814
relative_absolute_error
0.583811
relative_absolute_error
0.528448
relative_absolute_error
0.740959
relative_absolute_error
0.687803
relative_absolute_error
0.704085
relative_absolute_error
0.76061
relative_absolute_error
0.577261
relative_absolute_error
0.753773
relative_absolute_error
0.661643
relative_absolute_error
0.79167
relative_absolute_error
0.471259
relative_absolute_error
0.559261
relative_absolute_error
0.756533
relative_absolute_error
0.735187
relative_absolute_error
0.641525
relative_absolute_error
0.818305
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
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usercpu_time_millis_training
90
usercpu_time_millis_training
80
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
80
usercpu_time_millis_training
90
usercpu_time_millis_training
100
usercpu_time_millis_training
80
usercpu_time_millis_training
80
usercpu_time_millis_training
100
usercpu_time_millis_training
80
usercpu_time_millis_training
80
usercpu_time_millis_training
90
usercpu_time_millis_training
100
usercpu_time_millis_training
80
usercpu_time_millis_training
80
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
90
usercpu_time_millis_training
100
usercpu_time_millis_training
80
usercpu_time_millis_training
90
usercpu_time_millis_training
90