Table 4.

AUCs of recurrence risk prediction models using different methods.

Model	AUC of test set
Random forest model	0.8146
SVM	0.6420
KNN	0.7348
Logistic regression	0.7113
NBM	0.6928
AdaBoost	0.6023

AUC: Area under the receiving operator characteristic curve; CI: Confidence interval; KNN: K-nearest neighbor; NBM: Naive Bayesian model; SVM: Support vector machine.