Fig 2. Classifier performance.

(A) The receiver operator characteristic of the healthy controls (denoted as CTL) vs AN/BDD model. Our model distinguished healthy controls from participants with AN or BDD with an AUC-ROC of 93%. (B) Bars reflect the weight of each factor used in the CTL vs AN/BDD classification, expressed as the odds ratio per standard deviation. Error bars are SEM and asterisks demarcate statistically significant features ($\widehat{p}<0.05$). (C) Our AN vs BDD model distinguished participants with AN from those with BDD with an AUC-ROC of 67%. (D) The weight of each factor used in the AN vs BDD classification, expressed as an odds ratio per standard deviation. Error bars are (Gaussian) SEM and thus for reference only; significance values were calculated from the (non-Gaussian) permutations.