Table 2.
Accuracy, sensitivity and specificity of ANN and LR.
| a | |||
| ANN | accuracy [%] | sensitivity [%] | specificity [%] |
| learning | 98.8 | 99.1 | 98.4 |
| evaluation | 73.3 | 74.4 | 72.1 |
| LR | accuracy [%] | sensitivity [%] | specificity [%] |
| learning | 68.8 | 69.2 | 68.3 |
| evaluation | 48.3 | 45.3 | 51.2 |
| b | |||
| ANN | accuracy [%] | sensitivity [%] | specificity [%] |
| learning | 97.7 | 98.0 | 97.5 |
| evaluation | 74.4 | 77.9 | 70.9 |
| LR | accuracy [%] | sensitivity [%] | specificity [%] |
| learning | 59.4 | 57.8 | 60.9 |
| evaluation | 47.7 | 48.3 | 47.1 |
(a) with 25 SNPs.
(b) with 10 SNPs selected by PDM.