Research Article
[Retracted] Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis
Table 3
Performance metrics of the compared DNN models.
| Model | Accuracy | Precision | Recall | AUROC |
| DenseNet201 | 0.788 | 0.751 | 0.99 | 0.967 | ViT | 0.8 | 0.759 | 0.995 | 0.959 | MobileNetV2 | 0.843 | 0.815 | 0.969 | 0.955 | NASNetMobile | 0.806 | 0.773 | 0.977 | 0.945 | ResNet101V2 | 0.792 | 0.756 | 0.985 | 0.94 | Xception | 0.793 | 0.755 | 0.99 | 0.936 | InceptionV3 | 0.792 | 0.756 | 0.985 | 0.931 | InceptionResNetV2 | 0.827 | 0.794 | 0.977 | 0.926 |
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