Table 2. The performance of the brain metastases prediction model (under 10-fold cross-validation mode).

Machine learning algorithm	AUC (95% confidence interval)	Accuracy	Precision		Sensitivity (%)	Specificity (%)
			Brain metastasis	Non-brain metastasis
Naive Bayes	0.878 (0.743–0.911)	0.786	0.800	0.773	76.2	81.0
LASSO regression	0.739 (0.607–0.809)	0.667	0.652	0.684	71.4	61.9
Support vector machine	0.702 (0.592–0.797)	0.631	0.617	0.649	69.0	57.1
Random forest	0.695 (0.585–0.791)	0.643	0.658	0.630	59.5	69.0
Neural network	0.690 (0.580–0.786)	0.702	0.698	0.707	71.4	69.0
K-nearest neighbors	0.647 (0.535–0.748)	0.607	0.600	0.615	64.3	57.1