Table 2 Performance comparison of local projection methods in ancestry estimation
From: ANINet: a deep neural network for skull ancestry estimation
Convolutional network | Accuracy (%) | Precision (%) | Recall (%) | F1-score (%) | Specificity (%) | Para size (MB) |
|---|---|---|---|---|---|---|
AlexNet | 90.83 | 89.38 | 93.17 | 91.97 | 87.46 | 233 |
Vgg16 | 62.17 | 69.70 | 57.76 | 63.23 | 67.89 | 528 |
GoogLenet | 95.92 | 96.11 | 96.58 | 96.65 | 95.01 | 51 |
ResNet-50 | 96.33 | 96.74 | 98.09 | 97.15 | 95.09 | 101 |
DenseNet-121 | 97.97 | 97.98 | 98.15 | 98.19 | 98.55 | 46 |
SqueezeNet | 92.91 | 93.76 | 93.58 | 93.70 | 90.88 | 5 |
ANINet (SE-Wide) | 98.04 | 98.76 | 98.44 | 98.27 | 99.01 | 45 |