Table 4.
The specific outcomes based on different feature representation methods.
| Method | AUC | AUPR | Precision | Recall | F1-score |
|---|---|---|---|---|---|
| FeaRep1 | 0.9083 | 0.9119 | 0.8430 | 0.8543 | 0.8486 |
| FeaRep2 | 0.9307 | 0.9252 | 0.8554 | 0.8731 | 0.8641 |
| FeaRep3 | 0.9367 | 0.9327 | 0.8619 | 0.8746 | 0.8682 |
| PMDFI | 0.9404 | 0.9373 | 0.8663 | 0.8812 | 0.8736 |