Table 2.
Performance of EVlncRNA-Dpred, the previous SVM model and other traditional machine learning methods on the human test set
| Model | AUROC | AUPRC | ACC | MCC | Sensitivity | Specificity | F1_score |
|---|---|---|---|---|---|---|---|
| EVlncRNA-Dpred (h) | 0.896 | 0.850 | 0.852 | 0.617 | 0.564 | 0.968 | 0.693 |
| SVM | 0.582 | 0.404 | 0.657 | 0.077 | 0.122 | 0.925 | 0.191 |
| Random Forest | 0.530 | 0.442 | 0.653 | 0.087 | 0.156 | 0.901 | 0.234 |
| Decision Tree | 0.527 | 0.476 | 0.577 | 0.053 | 0.376 | 0.677 | 0.372 |
| K-Nearest Neighbors | 0.532 | 0.468 | 0.670 | 0.116 | 0.117 | 0.947 | 0.192 |