Table 3.
Metric | RF (Hand-Crafted) | ResNet + LSTM (Deep Learning) |
---|---|---|
Accuracy | 0.83 | 0.79 |
Sensitivity | 0.76 | 0.67 |
Specificity | 0.89 | 0.90 |
F1 | 0.80 | 0.75 |
AUC | 0.91 | 0.72 |
Metric | RF (Hand-Crafted) | ResNet + LSTM (Deep Learning) |
---|---|---|
Accuracy | 0.83 | 0.79 |
Sensitivity | 0.76 | 0.67 |
Specificity | 0.89 | 0.90 |
F1 | 0.80 | 0.75 |
AUC | 0.91 | 0.72 |