Table 6.

Summary of accuracies for module 3 with best classifiers and parameters for our 10-feature set, this time trained without gender

Module	3	3
Number of features	9	9
Best classifier	L2 LR	L1 Lin SVM
Optimal parameters	C = 1	C = 0.5
Area under ROC	0.95	0.95
Precision	0.99	0.99
Recall/sensitivity	0.89	0.95
Specificity	0.90	0.87
Balanced accuracy	0.90	0.91
F1 score	0.94	0.97

LR denotes logistic regression, and L1 Lin SVM denotes L ₁-penalized linear SVM