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Downstream performance prediction on MI (Midas) corrupted with Laplace noise

-0.894Downstream PerformanceXGBoost + MLP
-0.92208-0.91479-0.9075-0.90021Nov 10, 2023

Evaluation results

MethodLinks
XGBoost + MLPCorruption percentage (%)=502023.11-0.8942.64
XGBoost + MLPCorruption percentage (%)=752023.11-0.8962
Deep Lasso + MLPCorruption percentage (%)=752023.11-0.8982
AGL + MLPCorruption percentage (%)=502023.11-0.93.36
Deep Lasso + MLPCorruption percentage (%)=502023.11-0.91.91
Lasso + MLPCorruption percentage (%)=502023.11-0.9026.55
1L Lasso + MLPCorruption percentage (%)=502023.11-0.9023.09
Lasso + MLPCorruption percentage (%)=752023.11-0.9024.36
1L Lasso + MLPCorruption percentage (%)=752023.11-0.9023.73
RF + MLPCorruption percentage (%)=752023.11-0.9024.45
LassoNet + MLPCorruption percentage (%)=502023.11-0.9044.45
AGL + MLPCorruption percentage (%)=752023.11-0.9043.09
AM + MLPCorruption percentage (%)=502023.11-0.9053.91
RF + MLPCorruption percentage (%)=502023.11-0.9055
No FS + MLPCorruption percentage (%)=502023.11-0.9098.27
LassoNet + MLPCorruption percentage (%)=752023.11-0.9095.09
No FS + MLPCorruption percentage (%)=752023.11-0.9137.73
Univariate + MLPCorruption percentage (%)=502023.11-0.927
Univariate + MLPCorruption percentage (%)=752023.11-0.9217.64