Table 3 Testing results of models using 4 independent risk factors as diagnostic indicators
Models | Accuracy | Recall | Precision | Specificity | Sensitivity | \({F}_{1}\) | AUC |
|---|---|---|---|---|---|---|---|
Resnet50 | 85.60% | 0.93 | 86.40% | 0.73 | 0.93 | 0.76 | 0.85 |
VGG19 | 86.20% | 0.99 | 82.30% | 0.80 | 0.99 | 0.86 | 0.89 |
Inception-V3 | 84.50% | 0.96 | 81.50% | 0.74 | 0.96 | 0.77 | 0.87 |
Densenet121 | 88.90% | 0.98 | 82.90% | 0.80 | 0.98 | 0.90 | 0.88 |