Table 3. Performance metrics for the three machine learning approaches.

	CW			Non-CW
	AUC	Precision	Recall	AUC	Precision	Recall
Logistic Regression	0.79 ± 0.004	0.72 ± 0.013	0.73 ± 0.009	0.87 ± 0.028	0.72 ± 0.003	0.68 ± 0.037
Lasso	0.80 ± 0.001	0.71 ± 0.015	0.75 ± 0.018	0.85 ± 0.021	0.72 ± 0.007	0.66 ± 0.014
SVM	0.80 ± 0.012	0.72 ± 0.01	0.74 ± 0.025	0.84 ± 0.010	0.73 ± 0.011	0.69 ± 0.057

Note: ± indicates the range across the 5 imputed datasets.