Table 16 DAC-GAN 5-Fold consolidated cross validation performance.
DAC-GAN VS CNN Models | Mean Accuracy (%) | Mean Accuracy of DAC-GAN (%) | Mean Difference (%) | t-Statistic | p-Value |
|---|---|---|---|---|---|
DenseNet121 | 78.40 | 99.83 | + 21.40 | 54.62 | < 0.0001 |
VGG19 | 79.63 | 99.83 | + 20.17 | 52.78 | < 0.0001 |
Inception | 80.48 | 99.83 | + 19.32 | 50.21 | < 0.0001 |
XCeption | 81.50 | 99.83 | + 18.30 | 49.37 | < 0.0001 |
MobileNet | 82.72 | 99.83 | + 17.08 | 46.92 | < 0.0001 |
ResNet-50 | 83.87 | 99.83 | + 15.93 | 45.64 | < 0.0001 |
EfficientNet-B0 | 85.56 | 99.83 | + 14.27 | 43.82 | < 0.0001 |
EfficientNet-B4 | 87.31 | 99.83 | + 12.52 | 41.65 | < 0.0001 |
ConvNeXt | 88.96 | 99.83 | + 10.87 | 39.83 | < 0.0001 |
ViT CNN | 89.82 | 99.83 | + 10.01 | 38.54 | < 0.0001 |
SwinT | 90.10 | 99.83 | + 9.73 | 37.86 | < 0.0001 |
WGAN | 94.81 | 99.83 | + 5.02 | 27.33 | < 0.0001 |
CGAN | 93.59 | 99.83 | + 6.24 | 28.82 | < 0.0001 |
