Regression on Friedman 10 (Negative log predictive density)
2.83Negative Log Predictive DensityLaplace
Evaluation Results
| Method | Links | |
|---|---|---|
| LaplaceLikelihood=Student-t, Noise level=100% Laplace2024.10 | 2.83 | |
| HuberLikelihood=Student-t, Noise level=100% Laplace2024.10 | 2.84 | |
| Huber + ProjectionLikelihood=Student-t, Noise level=100% Laplace2024.10 | 2.84 | |
| Student-tLikelihood=Student-t, Noise level=100% Laplace2024.10 | 3.04 | |
| LaplaceLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.32 | |
| HuberLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.37 | |
| Huber + ProjectionLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.37 | |
| Student-tLikelihood=Laplace, Noise level=100% Laplace2024.10 | 3.6 | |
| Relevance PursuitLikelihood=Student-t, Noise level=100% Laplace2024.10 | 3.89 | |
| Relevance PursuitLikelihood=Laplace, Noise level=100% Laplace2024.10 | 4.57 | |
| StandardLikelihood=Laplace, Noise level=100% Laplace2024.10 | 4.58 | |
| StandardLikelihood=Student-t, Noise level=100% Laplace2024.10 | 4.6 |