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Downstream Performance Prediction on CH (Chess) corrupted with Laplace noise

-0.612Downstream PerformanceUnivariate + MLP
-0.61884-0.57267-0.5265-0.48033Nov 10, 2023

Evaluation results

MethodLinks
Univariate + MLPCorruption percentage (%)=752023.11-0.6127.64
No FS + MLPCorruption percentage (%)=752023.11-0.5047.73
No FS + MLPCorruption percentage (%)=502023.11-0.4718.27
LassoNet + MLPCorruption percentage (%)=752023.11-0.465.09
Lasso + MLPCorruption percentage (%)=502023.11-0.4566.55
XGBoost + MLPCorruption percentage (%)=502023.11-0.4542.64
XGBoost + MLPCorruption percentage (%)=752023.11-0.4542
AM + MLPCorruption percentage (%)=502023.11-0.4533.91
LassoNet + MLPCorruption percentage (%)=502023.11-0.4514.45
RF + MLPCorruption percentage (%)=752023.11-0.454.45
RF + MLPCorruption percentage (%)=502023.11-0.4495
Univariate + MLPCorruption percentage (%)=502023.11-0.4487
Lasso + MLPCorruption percentage (%)=752023.11-0.4474.36
1L Lasso + MLPCorruption percentage (%)=752023.11-0.4473.73
1L Lasso + MLPCorruption percentage (%)=502023.11-0.4453.09
AGL + MLPCorruption percentage (%)=502023.11-0.4433.36
AGL + MLPCorruption percentage (%)=752023.11-0.4433.09
Deep Lasso + MLPCorruption percentage (%)=752023.11-0.4432
Deep Lasso + MLPCorruption percentage (%)=502023.11-0.4411.91