Kernel |
θ
| k(x
i
,x
i
) | k(x
i
,x
j
) | Cor(Å·test,ytrain) | MSE |
---|
Diffusion | 3 | 1 | 0.136 |
0.586
| 0.685 |
 | 3.25 | 1 | 0.289 | 0.580 | 0.673 |
 | 3.5 | 1 | 0.466 | 0.577 |
0.681
|
 | 4 | 1 | 0.752 | 0.547 | 0.704 |
 | 5 | 1 | 0.962 | 0.522 | 0.721 |
Gaussian | 0.005 | 1 | 0.134 |
0.582
|
0.686
|
 | 0.003 | 1 | 0.290 | 0.579 | 0.697 |
 | 0.002 | 1 | 0.434 | 0.562 | 0.697 |
 | 0.001 | 1 | 0.655 | 0.558 | 0.703 |
 | 0.0005 | 1 | 0.809 | 0.556 | 0.673 |
G
1
| NA | 2 | -0.003 | 0.518 | 0.709 |
G
2
| NA | 2 | -0.003 | 0.521 | 0.708 |
- Average of diagonal k(x
i
,x
i
) and off-diagonal k(x
i
,x
j
) kernel elements, predictive correlation, and mean-squared error of prediction (MSE) for the diffusion, Gaussian, and two additive genomic relationship kernels at different values of the bandwidth parameter θ for the wheat data. The predictive correlation and the MSE were obtained from a 10-fold cross-validation. Additive genomic relationship kernels (G 1 and G 2) do not involve bandwidth parameters. The best prediction within the same kernel is underlined.