Table 3. Training cross-validation results.

Leave one out cross-validation (LOOCV) Areas under the receiver operating curves (AUC) and 95% confidence intervals (CI) for the best 10-probe model for each combination of machine-learning algorithm and number of predicted classes for models evaluated on the South Africa adult data (Fig 2).

	4-Class	6-Class	2-Class HIV-	2-Class HIV+
glmnet	0.91(0.86–0.95)	0.85(0.8–0.9)	0.97(0.93–1)	0.87(0.79–0.94)
knn	0.93(0.9–0.97)	0.89(0.85–0.93)	0.97(0.93–1)	0.92(0.87–0.97)
nnet	0.91(0.87–0.95)	0.83(0.78–0.88)	0.94(0.88–0.99)	0.83(0.74–0.92)
rf	0.95(0.91–0.98)	0.89(0.85–0.94)	0.97(0.95–1)	0.95(0.9–0.99)
svmRadial	0.91(0.86–0.96)	0.88(0.83–0.92)	0.97(0.93–1)	0.93(0.89–0.98)
xgbTree	0.93(0.9–0.97)	0.92(0.89–0.96)	0.96(0.92–1)	0.93(0.87–0.98)