Research Article
A Novel COVID-19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X-Ray Images
Table 10
Models’ performance evaluation based on scoring metrics: loss, accuracy, precision, sensitivity, specificity, and NPV.
| Model | Accuracy (%) | Loss (%) | Precision (%) | Sensitivity (%) | Specificity (%) | NPV (%) |
| ResNet152V2 | 98.55 | 5.06 | 98.56 | 98.22 | 99.5 | 99.52 | ResNet101V2 | 98.55 | 5.99 | 98.32 | 98.44 | 99.52 | 99.51 | MobileNetV2 | 98.36 | 5.18 | 98.4 | 97.99 | 99.45 | 99.46 | VGG16 | 98.75 | 3.69 | 98.59 | 98.6 | 99.59 | 99.57 | VGG19 | 99.13 | 5.51 | 99.27 | 98.66 | 99.69 | 99.73 | Generated model by stacking technique | 99.23 | 3.09 | 98.96 | 99.34 | 99.75 | 99.72 |
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