TABLE 4.

Results of the ROC analysis for different machine learning methods.

	Training set			Test set
	AUC	[0.025	0.975]	AUC	[0.025	0.975]
Logistic	0.806	0.748	0.864	0.776	0.683	0.869
SVM	0.836	0.781	0.891	0.750	0.651	0.849
Bernoulli naive Bayes	0.780	0.718	0.843	0.778	0.685	0.870
Ridge	0.833	0.780	0.887	0.773	0.678	0.867
GBDT	1.000	NaN	NaN	0.702	0.596	0.808
LASSO	0.819	0.763	0.874	0.793	0.702	0.885
DL	0.830	0.776	0.884	0.819	0.732	0.905

SVM, support vector machine; GBDT, gradient boosting decision tree; LASSO, least absolute shrinkage and selection operator; DL, deep learning.