Research Article
Optimal Deep-Learning-Enabled Intelligent Decision Support System for SARS-CoV-2 Classification
Table 3
Result analysis of EDLFM-SI model under data set-2.
| No. of runs | Precision | Sensitivity | Specificity | Accuracy | F-score |
| Run-1 | 0.9539 | 0.9484 | 0.9597 | 0.9544 | 0.9511 | Run-2 | 0.9598 | 0.9570 | 0.9647 | 0.9611 | 0.9584 | Run-3 | 0.9536 | 0.9427 | 0.9597 | 0.9517 | 0.9481 | Run-4 | 0.9571 | 0.9599 | 0.9622 | 0.9611 | 0.9585 | Run-5 | 0.9599 | 0.9599 | 0.9647 | 0.9625 | 0.9599 | Run-6 | 0.9460 | 0.9542 | 0.9521 | 0.9531 | 0.9501 | Run-7 | 0.9433 | 0.9542 | 0.9496 | 0.9517 | 0.9487 | Run-8 | 0.9432 | 0.9513 | 0.9496 | 0.9504 | 0.9472 | Run-9 | 0.9594 | 0.9484 | 0.9647 | 0.9571 | 0.9539 | Run-10 | 0.9594 | 0.9484 | 0.9647 | 0.9571 | 0.9539 | Average | 0.9536 | 0.9524 | 0.9592 | 0.9560 | 0.9530 |
|
|