Table 4.
Experimental outcomes of the pretrained transfer learning models.
| Model | Class | Precision | Recall | F1- score | Accuracy |
|---|---|---|---|---|---|
| InceptionV3 | COVID-19 | 1.00 | 0.98 | 0.99 | 96.58% |
| Normal | 0.83 | 0.99 | 0.90 | ||
| Pneumonia | 0.99 | 0.93 | 0.96 | ||
| Macro average | 0.94 | 0.97 | 0.95 | ||
| Weighted average | 0.96 | 0.95 | 0.95 | ||
| Xception | COVID-19 | 1.00 | 0.99 | 1.00 | 97.52% |
| Normal | 0.93 | 0.96 | 0.94 | ||
| Pneumonia | 0.98 | 0.97 | 0.98 | ||
| Macro average | 0.97 | 0.97 | 0.97 | ||
| Weighted average | 0.97 | 0.97 | 0.97 | ||
| DenseNet169 | COVID-19 | 1.00 | 1.00 | 1.00 | 97.63% |
| Normal | 0.95 | 0.96 | 0.95 | ||
| Pneumonia | 0.98 | 0.98 | 0.98 | ||
| Macro average | 0.98 | 0.98 | 0.98 | ||
| Weighted average | 0.98 | 0.98 | 0.98 | ||
| VGG19 | COVID-19 | 1.00 | 0.96 | 0.98 | 95.42% |
| Normal | 0.90 | 0.92 | 0.91 | ||
| Pneumonia | 0.97 | 0.97 | 0.97 | ||
| Macro average | 0.96 | 0.95 | 0.95 | ||
| Weighted average | 0.95 | 0.95 | 0.95 | ||
| ResNet50V2 | COVID-19 | 0.99 | 1.00 | 1.00 | 97.44% |
| Normal | 0.93 | 0.95 | 0.94 | ||
| Pneumonia | 0.98 | 0.97 | 0.98 | ||
| Macro average | 0.97 | 0.97 | 0.97 | ||
| Weighted average | 0.97 | 0.97 | 0.97 | ||
| MobileNetV2 | COVID-19 | 0.99 | 0.99 | 0.99 | 97.83% |
| Normal | 0.95 | 0.97 | 0.96 | ||
| Pneumonia | 0.99 | 0.98 | 0.98 | ||
| Macro average | 0.98 | 0.98 | 0.98 | ||
| Weighted average | 0.98 | 0.98 | 0.98 | ||