From: Genome-wide prediction using Bayesian additive regression trees
Method | Mean squared prediction error (MSPE) | |||||
---|---|---|---|---|---|---|
LASSO | ||||||
 minMSE | 0.829 | |||||
 minMSE + 1SE | 0.861 | |||||
BLASSO | 0.821 | |||||
GBLUP | 0.822 | |||||
RKHS | Â | |||||
 \(h = 0.1\) | 0.821 | |||||
 \(h = 0.5\) | 0.819 | |||||
 \(h = 1\) | 0.820 | |||||
RF | MÂ =Â 100 | MÂ =Â 200 | MÂ =Â 300 | MÂ =Â 400 | MÂ =Â 600 | MÂ =Â 800 |
 | 0.819 | 0.820 | 0.815 | 0.817 | 0.813 | 0.813 |
BART | MÂ =Â 100 | MÂ =Â 200 | MÂ =Â 300 | MÂ =Â 400 | MÂ =Â 600 | MÂ =Â 800 |
 \(q = 0.9\) | ||||||
 \(\kappa\) = 3 | 0.822 | 0.820 | 0.821 | – | – | – |
 \(\kappa\) = 4 | 0.819 | 0.814 | 0.815 | – | – | – |
 \(\kappa\) = 5 | 0.814 | 0.811 | 0.812 | – | – | – |
 \(\kappa\) = 6 | 0.815 | 0.813 | 0.814 | – | – | – |
 \(q = 0.95\) | ||||||
 \(\kappa\) = 3 | 0.826 | 0.820 | 0.821 | – | – | – |
 \(\kappa\) = 4 | 0.823 | 0.814 | 0.814 | – | – | – |
 \(\kappa\) = 5 | 0.815 | 0.812 | 0.812 | – | – | – |
 \(\kappa\) = 6 | 0.814 | 0.814 | 0.814 | – | – | – |