Research Article
Optimal Deep-Learning-Enabled Intelligent Decision Support System for SARS-CoV-2 Classification
Table 2
Comparative analysis of EDLFM-SI model with existing approaches under data set-1.
| Methods | Precision | Sensitivity | Accuracy | F-score |
| EDLFM-SI | 0.9904 | 0.9920 | 0.9899 | 0.9900 | xDNN model | 0.0916 | 0.9553 | 0.9738 | 0.9731 | RN model | 0.9300 | 0.9715 | 0.9496 | 0.9503 | GN model | 0.9020 | 0.9350 | 0.9173 | 0.9182 | VGG-16 | 0.9402 | 0.9543 | 0.9496 | 0.9497 | AN model | 0.9498 | 0.9228 | 0.9375 | 0.9361 | DT model | 0.7681 | 0.8313 | 0.7944 | 0.7984 |
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