Table 4 Evaluation metrices of applied models.
Models | Stage | Parameters | Kappa | F-Score | ||||
|---|---|---|---|---|---|---|---|---|
Sensitivity | Specificity | PPV | NPV | AUC | ||||
LR | Train | 0.741 | 0.749 | 0.752 | 0.721 | 0.749 | 0.532 | 0.811 |
Validation | 0.721 | 0.722 | 0.711 | 0.701 | 0.712 | 0.513 | 0.792 | |
RF | Train | 0.821 | 0.812 | 0.813 | 0.825 | 0.817 | 0.63 | 0.863 |
Validation | 0.782 | 0.751 | 0.794 | 0.744 | 0.792 | 0.601 | 0.841 | |
ANN | Train | 0.907 | 0.903 | 0.901 | 0.901 | 0.912 | 0.651 | 0.912 |
Validation | 0.889 | 0.891 | 0.883 | 0.885 | 0.902 | 0.643 | 0.882 | |