Table 7.
Holm’s test for comparing BNCNN with other pre-trained models based on the testing accuracy.
| 3-Way Classification | 2-Way Classification | |||||||
|---|---|---|---|---|---|---|---|---|
| Competing Model | p-Value | Corrected p-Value | Null Hypothesis | Competing Model | p-Value | Corrected p-Value | Null Hypothesis | |
| VGG-16 | 0.0956 | 0.5735 | Reject | VGG-16 | 0.0597 | 0.2731 | Reject | |
| VGG-19 | 0.1165 | 0.5825 | Reject | VGG-19 | 0.0049 | 0.0489 | Reject | |
| Inception-V3 | 0.0011 | 0.0105 | Reject | Inception-V3 | 0.0232 | 0.1852 | Reject | |
| ResNet-50 | 0.0044 | 0.0397 | Reject | ResNet-50 | 0.0186 | 0.1677 | Reject | |