Table 5.

Summary of experimental results and computational time on ZMHDD.

Algorithms	Accuracy	AUC	Sensitivity	Specificity	Computation Tims/s
					Training	Testing
KNN	78.4%	77.8%	62.1%	93.6%	0.012	0.32
SVM	90.8%	90.4%	82.3%	98.6%	0.081	0.007
NB	92.7%	92.4%	85.2%	99.5%	0.05	0.006
BG	95.3%	95.2%	94.1%	96.3%	1.3	0.02
RF	96.9%	96.8%	93.6%	100%	2.5	0.011
XGBoost	96.4%	96.3%	92.6%	100%	2	0.004
LightGBM	98.1%	98.1%	99.9%	96.3%	0.624	0.0015