Regression on Friedman 5 (Negative log predictive density)
2.96Neg Log Pred DensityLaplace
Evaluation Results
| Method | Links | |
|---|---|---|
| LaplaceLikelihood=Student-t, Noise level=100% Laplace2024.10 | 2.96 | |
| HuberLikelihood=Student-t, Noise level=100% Laplace2024.10 | 2.97 | |
| Huber + ProjectionLikelihood=Student-t, Noise level=100% Laplace2024.10 | 2.97 | |
| Student-tLikelihood=Student-t, Noise level=100% Laplace2024.10 | 3.11 | |
| LaplaceLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.46 | |
| HuberLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.48 | |
| Huber + ProjectionLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.48 | |
| Student-tLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.64 | |
| Relevance PursuitLikelihood=Student-t, Noise level=100% Laplace2024.10 | 3.93 | |
| StandardLikelihood=Student-t, Noise level=100% Laplace2024.10 | 4.43 | |
| StandardLikelihood=Laplace, Noise level=100% Laplace2024.10 | 4.55 | |
| Relevance PursuitLikelihood=Laplace, Noise level=100% Laplace2024.10 | 4.56 |