Research Article
Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach
Table 9
A comparison with state of the art.
| | Method | Accuracy (%) | Specificity (%) | Sensitivity (%) |
| | Proposed method (SVM-RFE+KNN) | 99.30 | 99.52 | 99.55 | | Georganos et al. (XGBoost) [6] | 79.8 | — | — | | Arian et al. (KNN) [5] | 90.0 | — | — | | Nitta et al. (Naïve Bayes) [9] | 97.47 | 92.89 | 86.83 |
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