The performance of BN v4.5 in predicting a range of evaluation targets under different input scenarios, in the form of mean log loss and AUROC based on 10-fold cross-validation.

Note when the prediction targets themselves were included as observed variables in the corresponding input scenario, we removed them from the list of input variables. For example, no prediction about RSV in nasopharynx under input scenario (c) is made (and hence shown as NA) because RSV status is already known in that scenario. Raw results and scripts for generating these metrics can be accessed via Open Science Framework (https://osf.io/m97vb/).