Table 5.
Comparison with other, state of the art models.
| Reference | Model name | 3 class accuracy | 3 class F1 score | 2 class accuracy |
|---|---|---|---|---|
| [22] | COVIDiagnosis-Net | 0.9833 | 0.9833 | N/A |
| [23] | CoroNet | 0.896 | 0.896 | .99 |
| [24] | ResNet-50 + DCNN | N/A | N/A | .93 |
| [48] | COVID-Net | 0.933 | 0.90 | N/A |
| [29] | DarkCovidNet | 0.8702 | 0.8737 | .98 |
| [49] | MobileNet v2 | 0.9472 | N/A | 96.78 |
| [33] | CovidAID | 0.923 | 0.905 | N/A |
| Proposed Model | InstaCovNet-19 | 0.9908 | 0.99 | .9952 |
**N/A: Authors did not perform the specified classification.