Table 3.

The performances of five prediction models.

Comparisons	Cohorts	RF	KNN	SVM	LR	Ada
AUC	Train	1.0	0.95	1.0	0.89	1.0
	Test	0.56	0.67	0.73	0.83	0.82
Sensitivity	Train	1.0	0.91	1.0	0.87	1.0
	Test	1.0	0.84	0.95	0.91	0.89
Specificity	Train	1.0	0.99	1.0	0.92	1.0
	Test	0.13	0.50	0.50	0.75	0.75
Accuracy	Train	1.0	0.95	1.0	0.89	1.0
	Test	0.87	0.79	0.88	0.88	0.87
F1-score	Train	1.0	0.95	1.0	0.89	1.0
	Test	0.93	0.87	0.93	0.93	0.92

RF, Random Forest; KNN, K-nearest Neighbor; SVM, Support Vector Machine; LR, Logistic Regression; Ada, Adaboost Classifier; AUC, Area Under the Curve.