Research Article
An Improved EfficientNetV2 Model Based on Visual Attention Mechanism: Application to Identification of Cassava Disease
Table 10
Average precision, average recall, average specificity, and top 1 accuracy of various models.
| Model | Precision (%) | Recall (%) | Specificity (%) | Top1 Acc (%) |
| AlexNet | 81 | 81.2 | 89.6 | 80.8 | VGG16 | 81.6 | 82 | 90.32 | 81.7 | GoogLeNet | 85.9 | 85.84 | 92.1 | 85.7 | ResNet34 | 86 | 86.12 | 93.22 | 86.06 | RegNetX | 85.7 | 85.74 | 92.5 | 85.83 | RegNetY | 86.05 | 86 | 93.1 | 86.02 | EfficientNetV2 | 87.36 | 88.2 | 95.2 | 87.4 | PDRNet | 88.01 | 87.84 | 98.34 | 88.1 |
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