Table 7.
Model performance summary.
| Model | Sensitivity/Recall | Precision/PPV | Accuracy | NPV | Specificity | F1 Score |
|---|---|---|---|---|---|---|
| Modified MobileNetV2 | 98% | 97% | 98% | 98% | 97% | 97% |
| MobileNetV2 | 97% | 96% | 97% | 97% | 96% | 96% |
| VGG19 | 95% | 94% | 95% | 95% | 93% | 94% |
| ResNet101 | 96% | 93% | 95% | 96% | 93% | 94% |
| InceptionV3 | 95% | 92% | 94% | 95% | 92% | 93% |
| NFNET | 94% | 94% | 94% | 93% | 93% | 94% |
| GoogLeNet | 94% | 93% | 94% | 94% | 93% | 93% |
| DenseNet121 | 92% | 96% | 94% | 91% | 96% | 93% |
| EfficientNetB7 | 93% | 90% | 92% | 93% | 90% | 91% |
| AlexNet | 95% | 87% | 91% | 95% | 97% | 90% |
| VGG16 | 93% | 89% | 91% | 93% | 98% | 90% |
| ResNet50 | 87% | 81% | 84% | 86% | 80% | 83% |