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Benchmarks
Regression on Synthetic two-feature data (Linear, n=300)
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0.9859
Mean R^2
LightGBM, rel-s features
-0.207812
0.102094
0.412
0.721906
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)=300
2025.12
0.9859
0.0035
NW + relations
Norm/Embedding Type=L2...
2025.12
0.9839
0.0038
NW + relations
Norm/Embedding Type=ML...
2025.12
0.9806
0.0051
NW + relations
Norm/Embedding Type=le...
2025.12
0.9701
0.0069
NW, no rel-s info
Norm/Embedding Type=le...
2025.12
0.8902
0.0176
NW, no rel-s info
Norm/Embedding Type=L2...
2025.12
0.8861
0.0176
LightGBM, no rel-s info
Sample size (n)=300
2025.12
0.8806
0.022
TabRel
Sample size (n)=300
2025.12
0.8668
0.2762
NW, rel-s features
Sample size (n)=300
2025.12
-0.1619
0.0868
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