Table 4.

Summary of the ROC analysis details for samples less than 1 year old.

Methods	AUC	Sensitivity	Specificity	PPV	NPV	p-Value
Sparse Logistic Regression	0.9 (0.7–1)	1 (0.75–1)	0.9 (0.55–0.99)	0.93	1	3.199 × 10−4
Random Forest	0.93 (0.79–1)	1 (0.75–1)	0.9 (0.55–0.98)	0.93	1	1.419 × 10−4
Gaussian Process	0.94 (0.82–1)	0.92 (0.64–1)	1 (0.69–1)	1	0.91	5.856 × 10−5
Support Vector Machine	0.9 (0.7–1)	1 (0.75–1)	0.9 (0.55–0.99)	0.93	1	3.199 × 10−4