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Performance parameters of each convolution neural network (CNN)-based pre-trained transfer model on the testing data
| Model | Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) |
|---|---|---|---|---|
| VGG-16 | 93.6 | 97.0 | 86.0 | 91.0 |
| VGG-19 | 90.8 | 81.0 | 91.0 | 86.0 |
| MobileNet | 99.1 | 100 | 98.0 | 99.0 |
| InceptionResNetV2 | 96.8 | 93.0 | 98.0 | 95.0 |
