Our new X account is live! Follow @wizwand_team for updates
Home
/
Benchmarks
Regression on Synthetic two-feature data Sin, n=300
Loading...
0.9835
R^2 (Mean)
LightGBM, rel-s features
0.351076
0.515263
0.67945
0.843637
Dec 8, 2025
R^2 (Mean)
R^2 (Std Dev)
Updated 4d ago
Evaluation Results
Method
Method
Links
R^2 (Mean)
R^2 (Std Dev)
LightGBM, rel-s features
Sample size (n)=300
2025.12
0.9835
0.0025
NW + relations
Norm/Embedding Type=L2...
2025.12
0.9777
0.0045
NW + relations
Norm/Embedding Type=ML...
2025.12
0.9692
0.0093
NW + relations
Norm/Embedding Type=le...
2025.12
0.9532
0.0116
TabRel
Sample size (n)=300
2025.12
0.9327
0.0571
NW, no rel-s info
Norm/Embedding Type=le...
2025.12
0.7474
0.0441
NW, no rel-s info
Norm/Embedding Type=L2...
2025.12
0.7349
0.0454
LightGBM, no rel-s info
Sample size (n)=300
2025.12
0.7233
0.0537
NW, rel-s features
Sample size (n)=300
2025.12
0.3754
0.1459
Feedback
Search any
task
Search any
task