Table 2. Performance Evaluation Metrics with Different Classification Models Based on the Best 150 Features Selected.
| methods | accuracy | sensitivity | specificity | AUC |
|---|---|---|---|---|
| RF | 0.87 | 0.87 | 0.87 | 0.90 |
| kNN | 0.88 | 0.88 | 0.88 | 0.90 |
| Naïve Bayes | 0.85 | 0.87 | 0.85 | 0.91 |
| methods | accuracy | sensitivity | specificity | AUC |
|---|---|---|---|---|
| RF | 0.87 | 0.87 | 0.87 | 0.90 |
| kNN | 0.88 | 0.88 | 0.88 | 0.90 |
| Naïve Bayes | 0.85 | 0.87 | 0.85 | 0.91 |