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ResearchFormerly WizWand

Downstream Performance Prediction on Abalone corrupted with Laplace noise

95.7Downstream PerformanceDeep Lasso + MLP
91.74892.77493.894.826Nov 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Deep Lasso + MLPCorruption percentage (%)=502023.1195.71.91
XGBoost + MLPCorruption percentage (%)=502023.1195.62.64
XGBoost + MLPCorruption percentage (%)=752023.1195.62
Univariate + MLPCorruption percentage (%)=502023.1195.57
1L Lasso + MLPCorruption percentage (%)=502023.1195.53.09
AGL + MLPCorruption percentage (%)=502023.1195.53.36
1L Lasso + MLPCorruption percentage (%)=752023.1195.53.73
AGL + MLPCorruption percentage (%)=752023.1195.43.09
Lasso + MLPCorruption percentage (%)=502023.1195.36.55
AM + MLPCorruption percentage (%)=502023.1195.33.91
RF + MLPCorruption percentage (%)=502023.1195.35
Deep Lasso + MLPCorruption percentage (%)=752023.1195.32
Lasso + MLPCorruption percentage (%)=752023.1195.24.36
LassoNet + MLPCorruption percentage (%)=502023.1195.14.45
RF + MLPCorruption percentage (%)=752023.1195.14.45
Univariate + MLPCorruption percentage (%)=752023.11957.64
LassoNet + MLPCorruption percentage (%)=752023.1194.75.09
No FS + MLPCorruption percentage (%)=502023.1194.28.27
No FS + MLPCorruption percentage (%)=752023.1191.97.73