Table 3.
The general classification scores of the SVMC for CT-MTU dataset.
| Net | The general classification scores of the SVMC |
|||||
|---|---|---|---|---|---|---|
| Acc. | Spec. | Sens. | Prec. | F1 | MCC | |
| SqueezeNet | 87.64% | 93.59% | 87.48% | 88.01% | 87.66% | 81.39% |
| AlexNet | 91.59% | 95.68% | 91.58% | 91.66% | 91.61% | 87.31% |
| ResNet-50 | 94.08% | 96.94% | 94.03% | 94.19% | 94.10% | 91.07% |
| Concatenated | 96.05% | 98.01% | 95.98% | 95.98% | 95.97% | 93.99% |
| Optimized | 97.72% | 98.81% | 97.64% | 97.78% | 97.71% | 96.54% |
The classification scores of the SVMC for CT-MTU dataset for optimized features are given in Table 3, on the last line.