Table 15 The result of ResNet18 for classification using tenfold cross-validation
From: WBC image classification and generative models based on convolutional neural network
| Â | NE. (%) | EO. (%) | BA. (%) | LY. (%) | MO. (%) |
|---|---|---|---|---|---|
Fold-0 | 96 | 99 | 53 | 61 | 76 |
Fold-1 | 83 | 94 | 97 | 97 | 89 |
Fold-2 | 54 | 21 | 86 | 73 | 91 |
Fold-3 | 89 | 92 | 70 | 68 | 84 |
Fold-4 | 74 | 92 | 100 | 85 | 82 |
Fold-5 | 86 | 82 | 56 | 74 | 69 |
Fold-6 | 84 | 93 | 100 | 88 | 62 |
Fold-7 | 70 | 91 | 90 | 99 | 93 |
Fold-8 | 61 | 81 | 61 | 73 | 42 |
Fold-9 | 97 | 86 | 100 | 83 | 71 |
Avr. Acc. | 79 | 83 | 81 | 80 | 75 |