433847
2
Joaquin Vanschoren
4654
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
1115
teachingAssistant
https://www.openml.org/data/download/53998/teachingAssistant.arff
-1
1516516
description
https://api.openml.org/data/download/1516516/weka_generated_run2055068453616195278.xml
-1
1516519
model_readable
https://api.openml.org/data/download/1516519/WekaModel_weka.classifiers.meta.RotationForest8441444063157854519.model
-1
1516518
model_serialized
https://api.openml.org/data/download/1516518/WekaSerialized_weka.classifiers.meta.RotationForest6042701457711042894.model
-1
1516517
predictions
https://api.openml.org/data/download/1516517/weka_generated_predictions6466138409668921365.arff
area_under_roc_curve
0.805208 [0.823169,0.775402,0.816942]
average_cost
0
f_measure
0.624088 [0.618905,0.592369,0.65947]
kappa
0.435837
kb_relative_information_score
551.971183
mean_absolute_error
0.317184
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
0.624783 [0.603883,0.594758,0.673347]
predictive_accuracy
0.623841
prior_entropy
1.584538
recall
0.623841 [0.634694,0.59,0.646154]
relative_absolute_error
0.713879
root_mean_prior_squared_error
0.471332
root_mean_squared_error
0.402637
root_relative_squared_error
0.854253
scimark_benchmark
939.800234 [558.1570048, 1011.5249537742577, 480.4213690634573, 902.3889933967491, 1746.5088487702178]
total_cost
0
usercpu_time_millis
480
usercpu_time_millis_testing
60
usercpu_time_millis_training
420
area_under_roc_curve
0.7125 [0.727273,0.672727,0.733333]
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0.943182 [0.909091,0.909091,1]
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0.749432 [0.890909,0.527273,0.816667]
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0.773864 [0.836364,0.6,0.866667]
area_under_roc_curve
0.764773 [0.745455,0.781818,0.766667]
area_under_roc_curve
0.848864 [0.854545,0.781818,0.9]
area_under_roc_curve
0.8125 [0.854545,0.745455,0.833333]
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0.784659 [0.854545,0.836364,0.683333]
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area_under_roc_curve
0.888636 [0.854545,0.909091,0.9]
area_under_roc_curve
0.946667 [1,0.88,0.96]
area_under_roc_curve
0.891448 [0.931818,0.84,0.907407]
area_under_roc_curve
0.681212 [0.704545,0.88,0.5]
area_under_roc_curve
0.725993 [0.636364,0.78,0.740741]
area_under_roc_curve
0.834545 [0.954545,0.74,0.833333]
area_under_roc_curve
0.653333 [0.62,0.82,0.52]
area_under_roc_curve
0.893401 [0.886364,0.86,0.925926]
area_under_roc_curve
0.646667 [0.56,0.46,0.92]
area_under_roc_curve
0.74 [0.78,0.62,0.82]
area_under_roc_curve
0.70431 [0.727273,0.62,0.759259]
area_under_roc_curve
0.88 [0.84,0.88,0.92]
area_under_roc_curve
0.833333 [0.84,0.9,0.76]
area_under_roc_curve
0.8 [0.92,0.74,0.74]
area_under_roc_curve
0.893333 [0.92,0.9,0.86]
area_under_roc_curve
0.68 [0.64,0.66,0.74]
area_under_roc_curve
0.873333 [0.88,0.82,0.92]
area_under_roc_curve
0.613333 [0.7,0.54,0.6]
area_under_roc_curve
0.78 [0.82,0.72,0.8]
area_under_roc_curve
0.74 [0.86,0.68,0.68]
area_under_roc_curve
0.913333 [1,0.8,0.94]
area_under_roc_curve
0.786667 [0.86,0.9,0.6]
area_under_roc_curve
0.986667 [1,1,0.96]
area_under_roc_curve
0.92 [0.9,0.94,0.92]
area_under_roc_curve
0.753333 [0.78,0.56,0.92]
area_under_roc_curve
0.826667 [0.9,0.8,0.78]
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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
0.82 [0.86,0.78,0.82]
area_under_roc_curve
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area_under_roc_curve
0.78 [0.94,0.6,0.8]
area_under_roc_curve
0.706667 [0.82,0.56,0.74]
area_under_roc_curve
0.853333 [0.9,0.84,0.82]
area_under_roc_curve
0.72 [0.8,0.66,0.7]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.906667 [0.96,0.84,0.92]
area_under_roc_curve
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area_under_roc_curve
0.913333 [0.9,0.9,0.94]
area_under_roc_curve
0.733333 [0.66,0.8,0.74]
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
0.526667 [0.68,0.48,0.42]
area_under_roc_curve
0.76 [0.88,0.56,0.84]
area_under_roc_curve
0.673333 [0.62,0.56,0.84]
area_under_roc_curve
0.96 [0.92,0.96,1]
area_under_roc_curve
0.78 [0.78,0.9,0.66]
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
0.773333 [0.9,0.78,0.64]
area_under_roc_curve
0.933333 [0.96,0.9,0.94]
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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f_measure
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kappa
0.594595
kappa
0.2
kb_relative_information_score
4.018092
kb_relative_information_score
6.558542
kb_relative_information_score
4.397031
kb_relative_information_score
5.173288
kb_relative_information_score
4.757286
kb_relative_information_score
6.06919
kb_relative_information_score
5.830403
kb_relative_information_score
5.513243
kb_relative_information_score
7.198783
kb_relative_information_score
7.317265
kb_relative_information_score
7.575961
kb_relative_information_score
7.281391
kb_relative_information_score
4.17489
kb_relative_information_score
5.237094
kb_relative_information_score
5.852896
kb_relative_information_score
2.287805
kb_relative_information_score
6.986224
kb_relative_information_score
2.633246
kb_relative_information_score
4.211363
kb_relative_information_score
5.583569
kb_relative_information_score
5.758109
kb_relative_information_score
5.252883
kb_relative_information_score
4.543296
kb_relative_information_score
6.466407
kb_relative_information_score
3.26532
kb_relative_information_score
5.817931
kb_relative_information_score
2.549482
kb_relative_information_score
4.534577
kb_relative_information_score
4.217629
kb_relative_information_score
6.525991
kb_relative_information_score
5.518624
kb_relative_information_score
8.363099
kb_relative_information_score
7.444818
kb_relative_information_score
4.241909
kb_relative_information_score
5.470222
kb_relative_information_score
3.518757
kb_relative_information_score
3.046327
kb_relative_information_score
5.611723
kb_relative_information_score
6.535212
kb_relative_information_score
4.624669
kb_relative_information_score
5.947629
kb_relative_information_score
5.070054
kb_relative_information_score
6.500142
kb_relative_information_score
4.896297
kb_relative_information_score
3.926119
kb_relative_information_score
6.756283
kb_relative_information_score
5.383467
kb_relative_information_score
7.327752
kb_relative_information_score
5.383088
kb_relative_information_score
3.871819
kb_relative_information_score
5.992761
kb_relative_information_score
4.146936
kb_relative_information_score
5.141271
kb_relative_information_score
5.566746
kb_relative_information_score
5.554281
kb_relative_information_score
2.262411
kb_relative_information_score
6.539224
kb_relative_information_score
7.030123
kb_relative_information_score
5.084976
kb_relative_information_score
7.781661
kb_relative_information_score
3.465709
kb_relative_information_score
6.258956
kb_relative_information_score
4.839486
kb_relative_information_score
3.358538
kb_relative_information_score
6.497156
kb_relative_information_score
7.177459
kb_relative_information_score
6.593165
kb_relative_information_score
6.393464
kb_relative_information_score
5.699204
kb_relative_information_score
1.487102
kb_relative_information_score
4.984134
kb_relative_information_score
2.746628
kb_relative_information_score
8.118914
kb_relative_information_score
4.812406
kb_relative_information_score
5.66587
kb_relative_information_score
5.551104
kb_relative_information_score
6.95862
kb_relative_information_score
5.282613
kb_relative_information_score
6.449976
kb_relative_information_score
5.498405
kb_relative_information_score
5.15346
kb_relative_information_score
5.154814
kb_relative_information_score
4.748693
kb_relative_information_score
8.529342
kb_relative_information_score
7.79181
kb_relative_information_score
9.68479
kb_relative_information_score
4.578397
kb_relative_information_score
7.321044
kb_relative_information_score
5.851306
kb_relative_information_score
4.447037
kb_relative_information_score
7.317173
kb_relative_information_score
4.270302
kb_relative_information_score
7.70759
kb_relative_information_score
4.642095
kb_relative_information_score
8.447077
kb_relative_information_score
6.466425
kb_relative_information_score
4.708548
kb_relative_information_score
4.985096
kb_relative_information_score
6.524113
kb_relative_information_score
3.675574
mean_absolute_error
0.370335
mean_absolute_error
0.290531
mean_absolute_error
0.351552
mean_absolute_error
0.32793
mean_absolute_error
0.346068
mean_absolute_error
0.307388
mean_absolute_error
0.322244
mean_absolute_error
0.335054
mean_absolute_error
0.276767
mean_absolute_error
0.280375
mean_absolute_error
0.257843
mean_absolute_error
0.265096
mean_absolute_error
0.357245
mean_absolute_error
0.326591
mean_absolute_error
0.305976
mean_absolute_error
0.399507
mean_absolute_error
0.269999
mean_absolute_error
0.393167
mean_absolute_error
0.350143
mean_absolute_error
0.323987
mean_absolute_error
0.306244
mean_absolute_error
0.327683
mean_absolute_error
0.346867
mean_absolute_error
0.294856
mean_absolute_error
0.387432
mean_absolute_error
0.308267
mean_absolute_error
0.401395
mean_absolute_error
0.340002
mean_absolute_error
0.353221
mean_absolute_error
0.284249
mean_absolute_error
0.322265
mean_absolute_error
0.240034
mean_absolute_error
0.255361
mean_absolute_error
0.346269
mean_absolute_error
0.31456
mean_absolute_error
0.373759
mean_absolute_error
0.384005
mean_absolute_error
0.30423
mean_absolute_error
0.289121
mean_absolute_error
0.343432
mean_absolute_error
0.30074
mean_absolute_error
0.33151
mean_absolute_error
0.292034
mean_absolute_error
0.337235
mean_absolute_error
0.352156
mean_absolute_error
0.282954
mean_absolute_error
0.317624
mean_absolute_error
0.257599
mean_absolute_error
0.322453
mean_absolute_error
0.36306
mean_absolute_error
0.306006
mean_absolute_error
0.356895
mean_absolute_error
0.320899
mean_absolute_error
0.317729
mean_absolute_error
0.316147
mean_absolute_error
0.405695
mean_absolute_error
0.292046
mean_absolute_error
0.274801
mean_absolute_error
0.326703
mean_absolute_error
0.247557
mean_absolute_error
0.373288
mean_absolute_error
0.291114
mean_absolute_error
0.333129
mean_absolute_error
0.382334
mean_absolute_error
0.287037
mean_absolute_error
0.268203
mean_absolute_error
0.296194
mean_absolute_error
0.297455
mean_absolute_error
0.308946
mean_absolute_error
0.435079
mean_absolute_error
0.334696
mean_absolute_error
0.382224
mean_absolute_error
0.238574
mean_absolute_error
0.337766
mean_absolute_error
0.307105
mean_absolute_error
0.321244
mean_absolute_error
0.278161
mean_absolute_error
0.324118
mean_absolute_error
0.297158
mean_absolute_error
0.316146
mean_absolute_error
0.328503
mean_absolute_error
0.332801
mean_absolute_error
0.342497
mean_absolute_error
0.23994
mean_absolute_error
0.263522
mean_absolute_error
0.198524
mean_absolute_error
0.331389
mean_absolute_error
0.272807
mean_absolute_error
0.308473
mean_absolute_error
0.351083
mean_absolute_error
0.260564
mean_absolute_error
0.343592
mean_absolute_error
0.25654
mean_absolute_error
0.339199
mean_absolute_error
0.236241
mean_absolute_error
0.28237
mean_absolute_error
0.333344
mean_absolute_error
0.334637
mean_absolute_error
0.285746
mean_absolute_error
0.361326
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
0.6875 [0.571429,0.428571,1]
precision
0.615625 [0.5,0.75,0.6]
precision
0.547619 [0.666667,0.285714,0.666667]
precision
0.424107 [0.5,0,0.714286]
precision
0.5 [0.4,0.6,0.5]
precision
0.71875 [0.6,0.5,1]
precision
0.695833 [0.6,0.666667,0.8]
precision
0.75 [0.8,0.8,0.666667]
precision
0.758929 [1,0.571429,0.714286]
precision
0.804688 [0.75,0.625,1]
precision
0.833333 [0.833333,0.666667,1]
precision
0.777143 [1,0.571429,0.8]
precision
0.688889 [0.333333,1,0.666667]
precision
0.697143 [0.4,0.571429,1]
precision
0.666667 [0.75,0.6,0.666667]
precision
0.190476 [0,0.428571,0.142857]
precision
0.657143 [0.5,0.571429,0.833333]
precision
0.428571 [0.25,0.285714,0.75]
precision
0.45 [0.5,0.25,0.6]
precision
0.733333 [0.5,0.6,1]
precision
0.672222 [0.6,0.666667,0.75]
precision
0.666667 [0.666667,0.666667,0.666667]
precision
0.72381 [1,0.571429,0.6]
precision
0.821429 [0.714286,0.75,1]
precision
0.533333 [0.5,0.6,0.5]
precision
0.733333 [0.8,0.6,0.8]
precision
0.388889 [0.5,0.333333,0.333333]
precision
0.533333 [0.6,0.5,0.5]
precision
0.444444 [0.5,0.333333,0.5]
precision
0.690476 [1,0.5,0.571429]
precision
0.626984 [0.666667,0.714286,0.5]
precision
0.877778 [0.833333,1,0.8]
precision
0.738889 [0.75,0.8,0.666667]
precision
0.366667 [0.5,0,0.6]
precision
0.565079 [0.6,0.666667,0.428571]
precision
0.466667 [0.4,0.6,0.4]
precision
0.347222 [0,0.375,0.666667]
precision
0.642857 [0.428571,0.75,0.75]
precision
0.738889 [0.75,0.666667,0.8]
precision
0.611111 [0.666667,0.666667,0.5]
precision
0.722222 [0.5,1,0.666667]
precision
0.690476 [1,0.5,0.571429]
precision
0.763889 [0.625,0.666667,1]
precision
0.5 [0.666667,0.333333,0.5]
precision
0.51746 [0.6,0.285714,0.666667]
precision
0.791667 [0.625,0.75,1]
precision
0.47619 [0.428571,0.5,0.5]
precision
0.738095 [0.75,0.75,0.714286]
precision
0.546032 [0.666667,0.4,0.571429]
precision
0.501587 [0.571429,0.333333,0.6]
precision
0.738889 [0.666667,0.75,0.8]
precision
0.454545 [0.363636,0,1]
precision
0.616667 [0.6,0.75,0.5]
precision
0.7 [0.5,0.6,1]
precision
0.714286 [0.571429,1,0.571429]
precision
0.394444 [0.333333,0.25,0.6]
precision
0.722222 [0.666667,0.666667,0.833333]
precision
0.794444 [0.833333,0.75,0.8]
precision
0.466667 [0.4,0.5,0.5]
precision
0.777778 [0.666667,1,0.666667]
precision
0.444444 [0.333333,0.5,0.5]
precision
0.738889 [0.666667,0.75,0.8]
precision
0.558333 [0.8,0.5,0.375]
precision
0.466667 [0.4,0.4,0.6]
precision
0.655556 [0.5,0.666667,0.8]
precision
0.821429 [0.75,0.714286,1]
precision
0.794444 [0.833333,0.75,0.8]
precision
0.777778 [0.666667,0.666667,1]
precision
0.698413 [0.428571,0.666667,1]
precision
0.339683 [0.333333,0.285714,0.4]
precision
0.607143 [0.571429,0.5,0.75]
precision
0.344444 [0.333333,0.2,0.5]
precision
0.821429 [0.75,1,0.714286]
precision
0.738095 [1,0.714286,0.5]
precision
0.527778 [0.333333,0.5,0.75]
precision
0.808333 [0.8,1,0.625]
precision
0.808333 [0.8,0.625,1]
precision
0.605556 [0.4,0.666667,0.75]
precision
0.838095 [1,0.714286,0.8]
precision
0.62963 [0.666667,0.555556,0.666667]
precision
0.611111 [0.666667,0.5,0.666667]
precision
0.738889 [0.8,0.666667,0.75]
precision
0.605556 [0.4,0.666667,0.75]
precision
0.944444 [0.833333,1,1]
precision
0.888889 [0.833333,0.833333,1]
precision
0.888889 [0.833333,1,0.833333]
precision
0.5 [0.666667,0.5,0.333333]
precision
0.822222 [0.666667,1,0.8]
precision
0.766667 [0.5,1,0.8]
precision
0.533333 [0.5,0.5,0.6]
precision
0.832381 [0.8,1,0.714286]
precision
0.387302 [0.428571,0.333333,0.4]
precision
0.904762 [1,0.714286,1]
precision
0.533333 [0.6,0.5,0.5]
precision
0.833333 [0.666667,1,0.833333]
precision
0.62 [0.5,0.5,0.8]
precision
0.7 [0.5,1,0.6]
precision
0.733333 [1,0.5,0.75]
precision
0.735873 [0.666667,0.714286,0.8]
precision
0.453968 [0.428571,0.333333,0.6]
predictive_accuracy
0.5625
predictive_accuracy
0.625
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.5
predictive_accuracy
0.625
predictive_accuracy
0.6875
predictive_accuracy
0.75
predictive_accuracy
0.6875
predictive_accuracy
0.75
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.266667
predictive_accuracy
0.666667
predictive_accuracy
0.4
predictive_accuracy
0.466667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.4
predictive_accuracy
0.533333
predictive_accuracy
0.466667
predictive_accuracy
0.666667
predictive_accuracy
0.666667
predictive_accuracy
0.866667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.533333
predictive_accuracy
0.466667
predictive_accuracy
0.466667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.4
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.4
predictive_accuracy
0.733333
predictive_accuracy
0.8
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
predictive_accuracy
0.733333
predictive_accuracy
0.533333
predictive_accuracy
0.466667
predictive_accuracy
0.666667
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.333333
predictive_accuracy
0.6
predictive_accuracy
0.333333
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.533333
predictive_accuracy
0.733333
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.733333
predictive_accuracy
0.6
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.866667
predictive_accuracy
0.466667
predictive_accuracy
0.8
predictive_accuracy
0.666667
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.4
predictive_accuracy
0.866667
predictive_accuracy
0.533333
predictive_accuracy
0.8
predictive_accuracy
0.6
predictive_accuracy
0.6
predictive_accuracy
0.666667
predictive_accuracy
0.733333
predictive_accuracy
0.466667
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
0.5625 [0.8,0.6,0.333333]
recall
0.625 [0.2,0.6,1]
recall
0.5 [0.4,0.4,0.666667]
recall
0.5 [0.6,0,0.833333]
recall
0.5 [0.4,0.6,0.5]
recall
0.625 [0.6,0.8,0.5]
recall
0.6875 [0.6,0.8,0.666667]
recall
0.75 [0.8,0.8,0.666667]
recall
0.6875 [0.4,0.8,0.833333]
recall
0.75 [0.6,1,0.666667]
recall
0.8 [1,0.8,0.6]
recall
0.733333 [0.75,0.8,0.666667]
recall
0.533333 [0.75,0.6,0.333333]
recall
0.6 [0.5,0.8,0.5]
recall
0.666667 [0.75,0.6,0.666667]
recall
0.266667 [0,0.6,0.2]
recall
0.666667 [0.25,0.8,0.833333]
recall
0.4 [0.2,0.4,0.6]
recall
0.466667 [0.6,0.2,0.6]
recall
0.666667 [0.75,0.6,0.666667]
recall
0.666667 [0.6,0.8,0.6]
recall
0.666667 [0.8,0.8,0.4]
recall
0.666667 [0.6,0.8,0.6]
recall
0.8 [1,0.6,0.8]
recall
0.533333 [0.4,0.6,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.4 [0.6,0.4,0.2]
recall
0.533333 [0.6,0.2,0.8]
recall
0.466667 [0.8,0.2,0.4]
recall
0.666667 [0.8,0.4,0.8]
recall
0.666667 [0.8,1,0.2]
recall
0.866667 [1,0.8,0.8]
recall
0.733333 [0.6,0.8,0.8]
recall
0.466667 [0.8,0,0.6]
recall
0.533333 [0.6,0.4,0.6]
recall
0.466667 [0.4,0.6,0.4]
recall
0.466667 [0,0.6,0.8]
recall
0.6 [0.6,0.6,0.6]
recall
0.733333 [0.6,0.8,0.8]
recall
0.6 [0.8,0.4,0.6]
recall
0.666667 [0.6,0.6,0.8]
recall
0.6 [0.4,0.6,0.8]
recall
0.733333 [1,0.4,0.8]
recall
0.533333 [0.8,0.2,0.6]
recall
0.466667 [0.6,0.4,0.4]
recall
0.733333 [1,0.6,0.6]
recall
0.466667 [0.6,0.4,0.4]
recall
0.733333 [0.6,0.6,1]
recall
0.533333 [0.4,0.4,0.8]
recall
0.533333 [0.8,0.2,0.6]
recall
0.733333 [0.8,0.6,0.8]
recall
0.4 [0.8,0,0.4]
recall
0.6 [0.6,0.6,0.6]
recall
0.6 [0.8,0.6,0.4]
recall
0.6 [0.8,0.2,0.8]
recall
0.4 [0.4,0.2,0.6]
recall
0.733333 [0.8,0.4,1]
recall
0.8 [1,0.6,0.8]
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
0.533333 [0.8,0.2,0.6]
recall
0.466667 [0.4,0.4,0.6]
recall
0.666667 [0.4,0.8,0.8]
recall
0.8 [0.6,1,0.8]
recall
0.8 [1,0.6,0.8]
recall
0.733333 [0.8,0.8,0.6]
recall
0.6 [0.6,0.8,0.4]
recall
0.333333 [0.2,0.4,0.4]
recall
0.6 [0.8,0.4,0.6]
recall
0.333333 [0.4,0.2,0.4]
recall
0.8 [0.6,0.8,1]
recall
0.666667 [0.4,1,0.6]
recall
0.533333 [0.2,0.8,0.6]
recall
0.733333 [0.8,0.4,1]
recall
0.733333 [0.8,1,0.4]
recall
0.6 [0.4,0.8,0.6]
recall
0.8 [0.6,1,0.8]
recall
0.6 [0.4,1,0.4]
recall
0.6 [0.4,0.6,0.8]
recall
0.733333 [0.8,0.8,0.6]
recall
0.6 [0.4,0.8,0.6]
recall
0.933333 [1,1,0.8]
recall
0.866667 [1,1,0.6]
recall
0.866667 [1,0.6,1]
recall
0.466667 [0.4,0.6,0.4]
recall
0.8 [0.8,0.8,0.8]
recall
0.666667 [0.8,0.4,0.8]
recall
0.533333 [0.6,0.4,0.6]
recall
0.8 [1,0.6,0.833333]
recall
0.4 [0.6,0.2,0.4]
recall
0.866667 [0.8,1,0.8]
recall
0.533333 [0.6,0.6,0.4]
recall
0.8 [0.8,0.6,1]
recall
0.6 [0.5,0.6,0.666667]
recall
0.6 [0.8,0.4,0.6]
recall
0.666667 [0.75,0.8,0.5]
recall
0.733333 [0.5,1,0.666667]
recall
0.466667 [0.6,0.2,0.6]
relative_absolute_error
0.8341
relative_absolute_error
0.654358
relative_absolute_error
0.791796
relative_absolute_error
0.738593
relative_absolute_error
0.779445
relative_absolute_error
0.692325
relative_absolute_error
0.725785
relative_absolute_error
0.754638
relative_absolute_error
0.623358
relative_absolute_error
0.631485
relative_absolute_error
0.580148
relative_absolute_error
0.59763
relative_absolute_error
0.80537
relative_absolute_error
0.736263
relative_absolute_error
0.689791
relative_absolute_error
0.898891
relative_absolute_error
0.608684
relative_absolute_error
0.884626
relative_absolute_error
0.787822
relative_absolute_error
0.730394
relative_absolute_error
0.689049
relative_absolute_error
0.737286
relative_absolute_error
0.78045
relative_absolute_error
0.663425
relative_absolute_error
0.871723
relative_absolute_error
0.693601
relative_absolute_error
0.903139
relative_absolute_error
0.765005
relative_absolute_error
0.794747
relative_absolute_error
0.63956
relative_absolute_error
0.725097
relative_absolute_error
0.540077
relative_absolute_error
0.574562
relative_absolute_error
0.779104
relative_absolute_error
0.707761
relative_absolute_error
0.840957
relative_absolute_error
0.864011
relative_absolute_error
0.684517
relative_absolute_error
0.650523
relative_absolute_error
0.772722
relative_absolute_error
0.676665
relative_absolute_error
0.745898
relative_absolute_error
0.657078
relative_absolute_error
0.758779
relative_absolute_error
0.792352
relative_absolute_error
0.636647
relative_absolute_error
0.714653
relative_absolute_error
0.579598
relative_absolute_error
0.72552
relative_absolute_error
0.816886
relative_absolute_error
0.688513
relative_absolute_error
0.803013
relative_absolute_error
0.722022
relative_absolute_error
0.71489
relative_absolute_error
0.71133
relative_absolute_error
0.912815
relative_absolute_error
0.657103
relative_absolute_error
0.618303
relative_absolute_error
0.735082
relative_absolute_error
0.557003
relative_absolute_error
0.839898
relative_absolute_error
0.655008
relative_absolute_error
0.749541
relative_absolute_error
0.860252
relative_absolute_error
0.645833
relative_absolute_error
0.603457
relative_absolute_error
0.666436
relative_absolute_error
0.669274
relative_absolute_error
0.695127
relative_absolute_error
0.978927
relative_absolute_error
0.753066
relative_absolute_error
0.860004
relative_absolute_error
0.536791
relative_absolute_error
0.759973
relative_absolute_error
0.690987
relative_absolute_error
0.722799
relative_absolute_error
0.625863
relative_absolute_error
0.729266
relative_absolute_error
0.668606
relative_absolute_error
0.711329
relative_absolute_error
0.739132
relative_absolute_error
0.748802
relative_absolute_error
0.770619
relative_absolute_error
0.539866
relative_absolute_error
0.592925
relative_absolute_error
0.446678
relative_absolute_error
0.745625
relative_absolute_error
0.613815
relative_absolute_error
0.694065
relative_absolute_error
0.789936
relative_absolute_error
0.587414
relative_absolute_error
0.773083
relative_absolute_error
0.577214
relative_absolute_error
0.763197
relative_absolute_error
0.531543
relative_absolute_error
0.636573
relative_absolute_error
0.750023
relative_absolute_error
0.754402
relative_absolute_error
0.644183
relative_absolute_error
0.812983
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.470996
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.470555
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
0.471474
root_mean_prior_squared_error
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usercpu_time_millis_training
330
usercpu_time_millis_training
340
usercpu_time_millis_training
340
usercpu_time_millis_training
350
usercpu_time_millis_training
340
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
380
usercpu_time_millis_training
360
usercpu_time_millis_training
500
usercpu_time_millis_training
380
usercpu_time_millis_training
360
usercpu_time_millis_training
360
usercpu_time_millis_training
390
usercpu_time_millis_training
360
usercpu_time_millis_training
350
usercpu_time_millis_training
370
usercpu_time_millis_training
350
usercpu_time_millis_training
350