Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
SHAP value approximation on car (test)
Loading...
0.956
R^2
ShapPFN(+loss)
0.18016
0.38158
0.583
0.78442
Mar 31, 2026
R^2
Cosine Similarity
Spearman Correlation
Updated 18d ago
Evaluation Results
Method
Method
Links
R^2
Cosine Similarity
Spearman Correlation
ShapPFN(+loss)
Kernel Time (s)=4016,...
2026.03
0.956
0.981
0.893
ShapPFN(arch)
Kernel Time (s)=4016,...
2026.03
0.21
0.669
0.675
Feedback
Search any
task
Search any
task
