Table 7 Evaluation results of 9 models on SoyNet.
From: A hypergraph cell membrane computing network model for soybean disease identification
Models | Classification Accuracy (%) | Precision (%) | Recall (%) | Specificity (%) | F1 score (%) |
|---|---|---|---|---|---|
AlexNet | 96.24 | 99.03 | 96.53 | 94.55 | 97.76 |
LeNet5 | 97.05 | 98.11 | 98.42 | 89.29 | 98.27 |
Vgg16 | 97.31 | 98.42 | 98.42 | 90.91 | 98.42 |
EfficientNetB0 | 97.31 | 98.42 | 98.42 | 90.91 | 98.42 |
InceptionV3 | 91.13 | 95.22 | 94.32 | 72.73 | 94.77 |
DenseNet121 | 96.77 | 98.41 | 97.79 | 90.91 | 98.10 |
ResNet50 | 96.51 | 97.50 | 98.42 | 85.45 | 97.96 |
ResNet101 | 96.24 | 98.40 | 97.16 | 90.91 | 97.78 |
HcmcNet | 98.85 | 99.05 | 98.42 | 94.55 | 98.73 |
