Table 1.

Performance of 5-fold cross validation.

	Accuracy	p-value	AUC	p-value
MLR	0.819 ± 0.028	–	0.808 ± 0.074	–
SVM	0.858 ± 0.029	0.0937	0.839 ± 0.060	0.5476
DT	0.840 ± 0.046	0.4005	0.804 ± 0.012	0.6905
RF	0.866 ± 0.014	0.0196	0.848 ± 0.037	0.3095

Mean ± standard deviation accuracy and AUC of the 5-fold cross validations for the multiclass classifications using different machine learning methods when the tolerance value is 5. The p-values were derived by comparing with MLR. MLR, multiclass logistic regression; SVM, support vector machine; DT, decision tree; RF, random forest.