Regression on Yacht (Negative log predictive density)
4.6Negative Log Predictive DensityRelevance Pursuit
Evaluation results
| Method | Links | |
|---|---|---|
| Relevance PursuitLikelihood=Student-t, Noise level=100% Laplace2024.10 | 4.6 | |
| StandardLikelihood=Laplace, Noise level=100% Laplace2024.10 | 4.74 | |
| Student-tLikelihood=Laplace, Noise level=100% Laplace2024.10 | 4.91 | |
| HuberLikelihood=Laplace, Noise level=100% Laplace2024.10 | 5.12 | |
| StandardLikelihood=Student-t, Noise level=100% Laplace2024.10 | 5.14 | |
| LaplaceLikelihood=Laplace, Noise level=100% Laplace2024.10 | 5.19 | |
| Relevance PursuitLikelihood=Laplace, Noise level=100% Laplace2024.10 | 5.3 | |
| HuberLikelihood=Student-t, Noise level=100% Laplace2024.10 | 6.7 | |
| LaplaceLikelihood=Student-t, Noise level=100% Laplace2024.10 | 6.79 | |
| Student-tLikelihood=Student-t, Noise level=100% Laplace2024.10 | 7.3 | |
| Huber + ProjectionLikelihood=Laplace, Noise level=100% Laplace2024.10 | 9.9 | |
| Huber + ProjectionLikelihood=Student-t, Noise level=100% Laplace2024.10 | 12.8 |