Table 5.

10-fold cross-validation results of 5 algorithms.

Models	AUC (mean ± std)	Accuracy (mean ± std)
Decision tree	0.89 ± 0.06	0.88 ± 0.06
Logistic regression	0.86 ± 0.07	0.87 ± 0.06
Random forest	0.86 ± 0.06	0.85 ± 0.06
Support vector machine	0.83 ± 0.08	0.81 ± 0.05
Deep neural networks	0.74 ± 0.12	0.88 ± 0.06
P-value	0.002	0.050