False positive/negative rates. False positive rate (FPR) and false negative rates (FNR) observed on the comparison dataset. The optimal threshold for every algorithm was determined by selecting the value that generated the minimal sum of FPR and FNR. The scores for every individual algorithm (x-axis) were then divided by the identified threshold (normalized to 1) for comparison. For algorithm details, see legend of Figure 2.