The optimal performance of the BN in predicting clinically-confirmed bacterial pneumonia (28) under different input scenarios and different FPR/FNR trade-off preferences (P1-P4).

Specifically, we defined optimal based on a minimised weighted sum of FPR and FNR across the 10-fold cross-validation results. For each input scenario and FPR/FNR trade-off preference, we present here the threshold used when the optimal performance is achieved, and its associated false positives (FP), false negatives (FN), sensitivity and specificity. Note that there is a total of 25 positive observations of clinically-confirmed bacterial pneumonia in our cohort of 230 cases of X-ray confirmed pneumonia. Raw results and scripts for generating these metrics can be accessed via Open Science Framework (https://osf.io/m97vb/).