Table 14.
Performance results for the support vector machine algorithm on each of the outer cross-validation test sets, for the female sample.
| Model | MAEa (years) | Accuracy | AUCb | RMSEc (years) | Recall | Precision |
| 1 (median) | 1.24 | 0.37 | 0.79 | 1.75 | 0.75 | 0.56 |
| 2 | 1.24 | 0.27 | 0.80 | 1.67 | 0.55 | 0.67 |
| 3 | 1.25 | 0.33 | 0.78 | 1.70 | 0.75 | 0.50 |
| 4 | 1.11 | 0.32 | 0.81 | 1.58 | 0.67 | 0.53 |
| 5 | 1.20 | 0.32 | 0.81 | 1.72 | 0.83 | 0.83 |
aMAE: mean absolute error.
bAUC: area under the curve.
cRMSE: root mean squared error.