Table 3.

Model performances for machine learning models respectively. LDA, linear discriminant analysis (LDA); GB, gradient boosting; adaboost, adaptive boosting; SVM, supported vector machine; NB, Gaussian Naïve Baye

	AUC	Accuracy	Sensitivity	Specificity	BrierScore
LDA	0.73	64.29	0.59	0.7	0.21
GB	0.77	73.81	0.73	0.75	0.2
AdaBoost	0.86	84.92	0.89	0.81	0.16
SVM	0.82	77.78	0.79	0.76	0.18
NB	0.84	80.16	0.79	0.81	0.17