Table 3.
Performance of Various Network Architectures
| Filter size | No. of filters | Pooling | Hybrid‐CNN classifier | Only‐CNN classifier | ||
|---|---|---|---|---|---|---|
| Overall accuracy (%) | Score (%) | Overall accuracy (%) | Score (%) | |||
| 5 | 4 | Max pooling | 83.71 | 79.05 | 72.81 | 61.39 |
| 5 | 8 | Max pooling | 86.37 | 81.11 | 82.45 | 68.10 |
| 25 | 8 | Max pooling | 86.93 | 80.14 | 85.75 | 72.92 |
| 50 | 8 | Max pooling | 87.64 | 81.44 | 81.40 | 64.81 |
| 75 | 8 | Max pooling | 87.53 | 81.40 | 79.91 | 64.33 |
| 50 | 8 | Average pooling | 77.14 | 57.20 | 72.67 | 52.00 |
| 50 | 32 | Max pooling | 69.33 | 56.46 | 84.25 | 66.86 |
| 100 | 8 | Max pooling | 76.82 | 62.39 | 78.23 | 64.33 |
| 500 | 8 | Max pooling | 62.33 | 56.41 | 74.16 | 61.98 |
| 500 | 32 | Max pooling | 52.83 | 52.83 | 76.09 | 60.80 |
| Only feature‐based classifier | 86.72 | 80.48 | ||||
CNN indicates convolutional neural network.