Table 11 The result of tenfold cross-validation of W-Net-SVM for classification accuracy
From: WBC image classification and generative models based on convolutional neural network
| Â | NE. (%) | EO. (%) | BA. (%) | LY. (%) | MO. (%) |
|---|---|---|---|---|---|
Fold-0 | 100 | 96 | 78 | 100 | 99 |
Fold-1 | 100 | 94 | 89 | 100 | 96 |
Fold-2 | 85 | 97 | 97 | 97 | 97 |
Fold-3 | 97 | 94 | 89 | 97 | 91 |
Fold-4 | 98 | 99 | 86 | 99 | 98 |
Fold-5 | 100 | 99 | 78 | 96 | 100 |
Fold-6 | 100 | 98 | 89 | 98 | 94 |
Fold-7 | 96 | 97 | 89 | 100 | 92 |
Fold-8 | 100 | 95 | 86 | 98 | 96 |
Fold-9 | 99 | 98 | 91 | 97 | 97 |
Avr. Acc. | 98 | 97 | 87 | 98 | 96 |