Table 2.

5-Fold Cross-Validation Effectiveness of Five ML Algorithms

	AUC (95% CI)	NPV	PPV	ACC	Recall	SEN	SPE	Precision
XGBoost	0.9548 (0.927–0.983)	0.8485	0.9286	0.906	0.9398	0.9398	0.8235	0.9286
RF	0.9600 (0.936–0.984)	0.8636	0.9345	0.9145	0.9458	0.9458	0.8382	0.9345
SVM	0.9478 (0.921–0.975)	0.8385	0.9281	0.9017	0.9337	0.9337	0.8235	0.9281
GBM	0.9569 (0.932–0.982)	0.8276	0.8864	0.8718	0.9398	0.9398	0.7059	0.8864
LR	0.9500 (0.923–0.977)	0.75	0.9667	0.8889	0.8735	0.8735	0.9265	0.9667