Table 2 Mean accuracy and standard error of the mean of each method, calculated over ten replicates each, times 100
From: Bayesian neural networks with variable selection for prediction of genotypic values
Scenario | GBLUP | BayesB | NetSparse | GBLUP-AD | BayesB-AD | GBLUP-ADAA |
|---|---|---|---|---|---|---|
Base | \(63.6\pm 1.2\) | \(63.8\pm 1.2\) | \(64.8\pm 1.4\) | \(62.5\pm 1.3\) | \(61.5\pm 1.5\) | \(62.2\pm 1.4\) |
\(S_{10}\) | \(63.6\pm 1.5\) | \(84.6\pm 1.5\) | \(91.3\pm 1.3\) | \(63.1\pm 1.3\) | \(82.0\pm 1.4\) | \(62.7\pm 1.4\) |
\(S_{100}\) | \(61.6\pm 0.7\) | \(64.4\pm 1.0\) | \(66.8\pm 1.3\) | \(61.0\pm 0.6\) | \(61.5\pm 1.1\) | \(60.7\pm 0.7\) |
\(S_{1000}\) | \(66.0\pm 1.8\) | \(64.9\pm 1.7\) | \(66.0\pm 1.8\) | \(65.7\pm 1.8\) | \(62.9\pm 2.1\) | \(65.5\pm 1.8\) |
\(D_{\text {medium}}\) | \(55.4\pm 2.0\) | \(55.6\pm 1.8\) | \(56.2\pm 2.1\) | \(56.1\pm 2.0\) | \(55.4\pm 2.2\) | \(55.8\pm 2.0\) |
\(D_{\text {extreme}}\) | \(42.8\pm 1.7\) | \(42.8\pm 1.5\) | \(43.4\pm 1.8\) | \(49.7\pm 1.7\) | \(49.5\pm 1.7\) | \(49.2\pm 1.7\) |
\(E_A\) | \(43.9\pm 2.0\) | \(44.0\pm 1.8\) | \(44.6\pm 2.1\) | \(43.2\pm 2.2\) | \(41.4\pm 2.0\) | \(43.3\pm 2.4\) |
\(E_C\) | \(44.9\pm 2.1\) | \(44.5\pm 2.4\) | \(45.4\pm 2.4\) | \(44.5\pm 2.1\) | \(43.9\pm 2.4\) | \(44.4\pm 2.2\) |
\(E_I\) | \(56.5\pm 1.5\) | \(56.4\pm 1.7\) | \(58.0\pm 1.6\) | \(55.2\pm 1.5\) | \(54.0\pm 1.8\) | \(55.2\pm 1.5\) |