Table 8.

Performance metrics for default scenario, best results after tuning momentum value and best result after tuning learning rate

Metrics	Default	Best momentum	Best learning rate
Sensitivity	0.9915	0.9904	0.9917
Specificity	0.9899	0.9926	0.9926
Precision	0.9909	0.9834	0.9917
False positive rate	0.0101	0.0074	0.0074
False negative rate	0.0085	0.0096	0.0083
Accuracy(%)	99.07	99.14	99.22
F1 score	0.9912	0.9919	0.9917
AUC	0.9994	0.9995	0.9993