Table 2:
Metrics of the 3 random forest classification models, each trained on the same 35 animals with the features shown in Table 1. The metrics are calculated from the test subset containing data from the remaining 35 animals.
| Accuracy (%) | 94.29 | 85.71 | 65.71 |
| AUC/Mean AUC | 0.934 | 0.859 | 0.796 |
| Sensitivity (%) /Mean Sensitivity | 90.91 | 94.12 | 64.17 |
| Specificity (%) /Mean Specificity | 95.83 | 77.78 | 86.96 |
| No information rate (%) (p-value) | 68.57 (2.6×10−4) | 51.43 (2.3×10−5) | 34.29 (1.5×10−4) |