Figure 4
From: Predicting women with depressive symptoms postpartum with machine learning methods
Stratified classification graphs for Extreme Randomized Forest (XRT) model, by pregnancy/previous depression status. Results presented for all women (All, n = 2385, of which 14% had postpartum depression, PPD), women with depression during current pregnancy or earlier in life (With Previous Depression, n = 971, of which 27% had PPD), and women without any previous depression episode (Without Previous Depression, n = 1414, of which 6% had PPD). For each category, models were assessed for accuracy (ACC), sensitivity (SENS), specificity (SPEC), positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC).
