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ResearchFormerly WizWand

Downstream performance prediction on JA (Jannis) corrupted with Laplace noise

0.723Downstream PerformanceRF + MLP
0.685560.695280.7050.71472Nov 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
RF + MLPCorruption percentage (%)=502023.110.7235
AGL + MLPCorruption percentage (%)=752023.110.7223.09
1L Lasso + MLPCorruption percentage (%)=502023.110.7213.09
AGL + MLPCorruption percentage (%)=502023.110.7213.36
XGBoost + MLPCorruption percentage (%)=752023.110.7212
XGBoost + MLPCorruption percentage (%)=502023.110.722.64
Deep Lasso + MLPCorruption percentage (%)=502023.110.721.91
Deep Lasso + MLPCorruption percentage (%)=752023.110.722
AM + MLPCorruption percentage (%)=502023.110.7193.91
Lasso + MLPCorruption percentage (%)=502023.110.7186.55
Univariate + MLPCorruption percentage (%)=502023.110.7177
LassoNet + MLPCorruption percentage (%)=502023.110.7164.45
RF + MLPCorruption percentage (%)=752023.110.7164.45
Lasso + MLPCorruption percentage (%)=752023.110.7144.36
1L Lasso + MLPCorruption percentage (%)=752023.110.7143.73
LassoNet + MLPCorruption percentage (%)=752023.110.7125.09
No FS + MLPCorruption percentage (%)=502023.110.7048.27
Univariate + MLPCorruption percentage (%)=752023.110.6887.64
No FS + MLPCorruption percentage (%)=752023.110.6877.73