Table 5 The performance of PND-Net on the potato disease dataset using fivefold cross validation.
From: PND-Net: plant nutrition deficiency and disease classification using graph convolutional network
k-Fold | PND-Net using ResNet-50 base | PND-Net using Xception base | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
Val acc | Test acc | Prec | Recall | F1-score | Val acc | Test acc | Prec | Recall | F1-score | |
Fold-1 | 96.46 | 95.48 | 96.00 | 95.00 | 96.00 | 92.67 | 91.32 | 91.00 | 91.00 | 91.00 |
Fold-2 | 95.70 | 95.27 | 95.00 | 95.00 | 95.00 | 91.66 | 91.31 | 91.00 | 91.00 | 91.00 |
Fold-3 | 95.20 | 94.66 | 95.00 | 95.00 | 95.00 | 94.39 | 92.13 | 92.00 | 92.00 | 92.00 |
Fold-4 | 94.95 | 93.27 | 93.00 | 93.00 | 93.00 | 93.90 | 91.55 | 91.00 | 91.00 | 91.00 |
Fold-5 | 95.70 | 95.20 | 95.00 | 95.00 | 95.00 | 94.91 | 92.82 | 93.00 | 93.00 | 93.00 |
Avg | 95.60 | 94.78 | 94.80 | 94.60 | 94.80 | 93.51 | 91.83 | 91.60 | 91.60 | 91.60 |
