Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Label Distribution Learning on Natural (3 random splits)
Loading...
0.5216
KL Divergence
ERDF
0.492656
0.688028
0.8834
1.078772
Feb 6, 2026
KL Divergence
Chebyshev Distance
Clark Distance
Canberra Distance
Cosine Similarity
Intersection Score
Updated 1mo ago
Evaluation Results
Method
Method
Links
KL Divergence
Chebyshev Distance
Clark Distance
Canberra Distance
Cosine Similarity
Intersection Score
ERDF
number of trees=100, m...
2026.02
0.5216
0.2221
2.3595
6.3066
0.8343
67.04
StructRF
number of trees=100, m...
2026.02
0.6689
0.2794
2.3465
6.2559
0.782
59.27
LDL-SCL
hyperparameters=λ1, λ2...
2026.02
0.8283
0.3329
2.4682
6.7833
0.7284
49.94
AA-KNN
k=5, distance metric=m...
2026.02
1.0357
0.3134
1.9085
4.5686
0.715
56.21
AA-BP
optimizer=SA-BFGS, max...
2026.02
1.2452
0.3922
2.5099
7.0532
0.5582
36.65
Feedback
Search any
task
Search any
task
