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Benchmarks
Regression on Synthetic two-feature data Linear, n=1000
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0.9957
Mean R^2
LightGBM, rel-s features
-0.206228
0.105811
0.41785
0.729889
Dec 8, 2025
Mean R^2
Std Dev R^2
Updated 4d ago
Evaluation Results
Method
Method
Links
Mean R^2
Std Dev R^2
LightGBM, rel-s features
Sample size (n)=1000
2025.12
0.9957
0.0006
NW + relations
Norm/Embedding Type=L2...
2025.12
0.9935
0.0011
NW + relations
Norm/Embedding Type=ML...
2025.12
0.9901
0.0012
NW + relations
Norm/Embedding Type=le...
2025.12
0.986
0.0014
TabRel
Sample size (n)=1000
2025.12
0.9486
0.1042
NW, no rel-s info
Norm/Embedding Type=le...
2025.12
0.9025
0.0063
NW, no rel-s info
Norm/Embedding Type=L2...
2025.12
0.9024
0.0064
LightGBM, no rel-s info
Sample size (n)=1000
2025.12
0.8871
0.0099
NW, rel-s features
Sample size (n)=1000
2025.12
-0.16
0.0421
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