Table 3.

Performance metrics for the RF classifier trained using hand-crafted features and for the deep learning method. The highest value for each performance metric is bolded.

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