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Downstream performance prediction on YE (Yeast) corrupted with Laplace noise

-0.776Downstream Performance1L Lasso + MLP
-0.84048-0.82374-0.807-0.79026Nov 10, 2023

Evaluation results

MethodLinks
1L Lasso + MLPCorruption percentage (%)=502023.11-0.7763.09
Deep Lasso + MLPCorruption percentage (%)=502023.11-0.7761.91
LassoNet + MLPCorruption percentage (%)=502023.11-0.7784.45
AM + MLPCorruption percentage (%)=502023.11-0.7783.91
Deep Lasso + MLPCorruption percentage (%)=752023.11-0.782
1L Lasso + MLPCorruption percentage (%)=752023.11-0.7813.73
AGL + MLPCorruption percentage (%)=502023.11-0.7823.36
AGL + MLPCorruption percentage (%)=752023.11-0.7843.09
RF + MLPCorruption percentage (%)=502023.11-0.7875
XGBoost + MLPCorruption percentage (%)=502023.11-0.7872.64
LassoNet + MLPCorruption percentage (%)=752023.11-0.7875.09
XGBoost + MLPCorruption percentage (%)=752023.11-0.7872
Lasso + MLPCorruption percentage (%)=502023.11-0.7896.55
RF + MLPCorruption percentage (%)=752023.11-0.794.45
Lasso + MLPCorruption percentage (%)=752023.11-0.7944.36
No FS + MLPCorruption percentage (%)=502023.11-0.7978.27
No FS + MLPCorruption percentage (%)=752023.11-0.8087.73
Univariate + MLPCorruption percentage (%)=502023.11-0.8277
Univariate + MLPCorruption percentage (%)=752023.11-0.8387.64