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Regression on Friedman 10 (Negative log predictive density)

2.83Negative Log Predictive DensityLaplace
2.75923.23713.7154.1929Oct 31, 2024

Evaluation results

MethodLinks
LaplaceLikelihood=Student-t, Noise level=100% Laplace2024.102.83
HuberLikelihood=Student-t, Noise level=100% Laplace2024.102.84
Huber + ProjectionLikelihood=Student-t, Noise level=100% Laplace2024.102.84
Student-tLikelihood=Student-t, Noise level=100% Laplace2024.103.04
LaplaceLikelihood=Laplace, Noise level=100% Laplace2024.103.32
HuberLikelihood=Laplace, Noise level=100% Laplace2024.103.37
Huber + ProjectionLikelihood=Laplace, Noise level=100% Laplace2024.103.37
Student-tLikelihood=Laplace, Noise level=100% Laplace2024.103.6
Relevance PursuitLikelihood=Student-t, Noise level=100% Laplace2024.103.89
Relevance PursuitLikelihood=Laplace, Noise level=100% Laplace2024.104.57
StandardLikelihood=Laplace, Noise level=100% Laplace2024.104.58
StandardLikelihood=Student-t, Noise level=100% Laplace2024.104.6