Table 4.
Performance metrics of PFP-LHCINCA model by classifier type.
| Classifier | Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) |
|---|---|---|---|---|
| kNN | 99.11 | 99.11 | 99.12 | 99.11 |
| LD | 91.21 | 91.70 | 91.15 | 91.43 |
| NB | 89.12 | 89.81 | 89.05 | 89.43 |
| SVM | 98.51 | 98.54 | 98.53 | 98.53 |
| DT | 88.52 | 88.66 | 88.49 | 88.58 |
kNN: k-nearest neighbor; LD: linear discriminant; NB: naïve Bayes; SVM: support vector machine; DT: decision tree.