Research Article
Optimal Deep-Learning-Enabled Intelligent Decision Support System for SARS-CoV-2 Classification
Table 4
Comparative analysis of EDLFM-SI model with existing approaches under data set-2.
| Methods | Precision | Sensitivity | Accuracy | F-score |
| EDLFM-SI | 0.9599 | 0.9599 | 0.9625 | 0.9599 | RN-101 model | 0.8810 | 0.9310 | 0.9090 | 0.9060 | InceptionV3 | 0.8770 | 0.9000 | 0.8940 | 0.8880 | Xception | 0.8730 | 0.8830 | 0.8850 | 0.8770 | DN-121 model | 0.8760 | 0.8880 | 0.8890 | 0.8820 | DN-169 model | 0.8810 | 0.9370 | 0.9120 | 0.9080 | DN-201 model | 0.9130 | 0.9370 | 0.9290 | 0.9250 |
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