Downstream performance prediction on JA (Jannis) corrupted with Laplace noise
0.723Downstream PerformanceRF + MLP
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| RF + MLPCorruption percentage (%)=502023.11 | 0.723 | 5 | |
| AGL + MLPCorruption percentage (%)=752023.11 | 0.722 | 3.09 | |
| 1L Lasso + MLPCorruption percentage (%)=502023.11 | 0.721 | 3.09 | |
| AGL + MLPCorruption percentage (%)=502023.11 | 0.721 | 3.36 | |
| XGBoost + MLPCorruption percentage (%)=752023.11 | 0.721 | 2 | |
| XGBoost + MLPCorruption percentage (%)=502023.11 | 0.72 | 2.64 | |
| Deep Lasso + MLPCorruption percentage (%)=502023.11 | 0.72 | 1.91 | |
| Deep Lasso + MLPCorruption percentage (%)=752023.11 | 0.72 | 2 | |
| AM + MLPCorruption percentage (%)=502023.11 | 0.719 | 3.91 | |
| Lasso + MLPCorruption percentage (%)=502023.11 | 0.718 | 6.55 | |
| Univariate + MLPCorruption percentage (%)=502023.11 | 0.717 | 7 | |
| LassoNet + MLPCorruption percentage (%)=502023.11 | 0.716 | 4.45 | |
| RF + MLPCorruption percentage (%)=752023.11 | 0.716 | 4.45 | |
| Lasso + MLPCorruption percentage (%)=752023.11 | 0.714 | 4.36 | |
| 1L Lasso + MLPCorruption percentage (%)=752023.11 | 0.714 | 3.73 | |
| LassoNet + MLPCorruption percentage (%)=752023.11 | 0.712 | 5.09 | |
| No FS + MLPCorruption percentage (%)=502023.11 | 0.704 | 8.27 | |
| Univariate + MLPCorruption percentage (%)=752023.11 | 0.688 | 7.64 | |
| No FS + MLPCorruption percentage (%)=752023.11 | 0.687 | 7.73 |