Downstream Performance Prediction on Abalone corrupted with Laplace noise
95.7Downstream PerformanceDeep Lasso + MLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Deep Lasso + MLPCorruption percentage (%)=502023.11 | 95.7 | 1.91 | |
| XGBoost + MLPCorruption percentage (%)=502023.11 | 95.6 | 2.64 | |
| XGBoost + MLPCorruption percentage (%)=752023.11 | 95.6 | 2 | |
| Univariate + MLPCorruption percentage (%)=502023.11 | 95.5 | 7 | |
| 1L Lasso + MLPCorruption percentage (%)=502023.11 | 95.5 | 3.09 | |
| AGL + MLPCorruption percentage (%)=502023.11 | 95.5 | 3.36 | |
| 1L Lasso + MLPCorruption percentage (%)=752023.11 | 95.5 | 3.73 | |
| AGL + MLPCorruption percentage (%)=752023.11 | 95.4 | 3.09 | |
| Lasso + MLPCorruption percentage (%)=502023.11 | 95.3 | 6.55 | |
| AM + MLPCorruption percentage (%)=502023.11 | 95.3 | 3.91 | |
| RF + MLPCorruption percentage (%)=502023.11 | 95.3 | 5 | |
| Deep Lasso + MLPCorruption percentage (%)=752023.11 | 95.3 | 2 | |
| Lasso + MLPCorruption percentage (%)=752023.11 | 95.2 | 4.36 | |
| LassoNet + MLPCorruption percentage (%)=502023.11 | 95.1 | 4.45 | |
| RF + MLPCorruption percentage (%)=752023.11 | 95.1 | 4.45 | |
| Univariate + MLPCorruption percentage (%)=752023.11 | 95 | 7.64 | |
| LassoNet + MLPCorruption percentage (%)=752023.11 | 94.7 | 5.09 | |
| No FS + MLPCorruption percentage (%)=502023.11 | 94.2 | 8.27 | |
| No FS + MLPCorruption percentage (%)=752023.11 | 91.9 | 7.73 |