Table 1.

Performance of classification models by 5-fold cross-validation, random sampling, and leave-one-out validation.

Method	5-fold cross-validation		Random sampling		Leave-one-out
	AUC	Precise	AUC	Precise	AUC	Precise
Logistic regression (LR)	0.442	0.683	0.528	0.640	0.459	0.706
Random forest (RF)	0.840	0.842	0.815	0.844	0.775	0.840
k nearest neighbors (kNN)	0.581	0.712	0.648	0.753	0.571	0.719
Naive Bayesian (NB)	0.772	0.821	0.762	0.810	0.760	0.815