Table 3 Mean accuracy increase of NetSparse relative to each other method and its standard error on the mean calculated over ten replicates each, times 100
From: Bayesian neural networks with variable selection for prediction of genotypic values
Scenario | GBLUP | BayesB | GBLUP-AD | BayesB-AD | GBLUP-ADAA |
|---|---|---|---|---|---|
Base | \(1.2\pm 0.6\) | \(1.0\pm 0.5\) | \({\textit{2.2}\pm \textit{0.7}}\) | \({\textit{3.3}\pm \textit{0.6}}\) | \({\textit{2.5}\pm \textit{0.6}}\) |
\(S_{10}\) | \({\textit{27.7}\pm \textit{1.6}}\) | \({\textit{6.7}\pm \textit{0.8}}\) | \({\textit{28.1}\pm \textit{1.5}}\) | \({\textit{9.3}\pm \textit{1.1}}\) | \({\textit{28.5}\pm \textit{1.4}}\) |
\(S_{100}\) | \({\textit{5.2}\pm \textit{1.1}}\) | \({\textit{2.4}\pm \textit{0.7}}\) | \({\textit{5.8}\pm \textit{1.1}}\) | \({\textit{5.4}\pm \textit{0.7}}\) | \({\textit{6.1}\pm \textit{1.1}}\) |
\(S_{1000}\) | \(-0.0\pm 0.2\) | \({\textit{1.1}\pm \textit{0.3}}\) | \(0.3\pm 0.2\) | \({\textit{3.0}\pm \textit{0.7}}\) | \(0.4\pm 0.3\) |
\(D_{\text {medium}}\) | \({\textit{0.8}\pm \textit{0.3}}\) | \(0.6\pm 0.5\) | \(0.0\pm 0.5\) | \(0.8\pm 0.6\) | \(0.4\pm 0.5\) |
\(D_{\text {extreme}}\) | \({\textit{0.6}\pm \textit{0.8}}\) | \(0.6\pm 0.6\) | \(-6.3\pm 0.6\) | \(-6.1\pm 0.7\) | \(-5.8\pm 0.7\) |
\(E_A\) | \({\textit{0.7}\pm \textit{0.2}}\) | \(0.6\pm 0.7\) | \({\textit{1.4}\pm \textit{0.4}}\) | \({\textit{3.2}\pm \textit{0.6}}\) | \({\textit{1.3}\pm \textit{0.5}}\) |
\(E_C\) | \(0.6\pm 0.4\) | \({\textit{0.9}\pm \textit{0.3}}\) | \(0.9\pm 1.0\) | \(1.5\pm 1.1\) | \(1.0\pm 1.0\) |
\(E_I\) | \({\textit{1.5}\pm \textit{0.5}}\) | \({\textit{1.5}\pm \textit{0.4}}\) | \({\textit{2.8}\pm \textit{0.6}}\) | \({\textit{3.9}\pm \textit{0.6}}\) | \({\textit{2.7}\pm \textit{0.6}}\) |