Research Article
[Retracted] A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images
Table 3
Classification output of the proposed method using ResNet101 and EFA.
| Classifier | Recall rate (%) | Precision rate (%) | FNR (%) | AUC | Accuracy (%) | Time (sec) |
| Linear SVM | 95.0 | 95.1 | 5 | 0.993 | 95.0 | 31.799 | Quadratic SVM | 97.0 | 97.06 | 3 | 1 | 97.0 | 33.323 | Cubic SVM | 97.5 | 97.5 | 2.5 | 1 | 97.5 | 35.945 | Medium Gaussian SVM | 95.56 | 95.56 | 4.44 | 0.993 | 95.6 | 42.995 | Fine KNN | 95.36 | 95.4 | 4.64 | 0.963 | 95.4 | 21.224 | Medium KNN | 90.83 | 91.43 | 9.17 | 0.983 | 90.8 | 20.741 | Cosine KNN | 95.06 | 95.1 | 4.94 | 0.993 | 95.1 | 22.4 | Cubic KNN | 90.36 | 90.6 | 9.64 | 0.98 | 90.4 | 146.63 | Weighted SVM | 91.6 | 92.66 | 8.4 | 0.986 | 91.6 | 20.812 | Subspace KNN | 95.56 | 95.56 | 4.44 | 0.99 | 95.6 | 92.172 |
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