English: ORES is a machine learning system for classifying edits to Wikipedia according to whether they are damaging or goodfaith. This plot shows that, for the 25 Wikis on which ORES damaging models are deployed, and when the prediction threshold is chosen to maximize overall accuracy, that the model tends to underestimate the incidence of damaging edits. However, the models are most conservative for editors that are neither newcomers nor anonymous. Compared to other editors, the models score edits by newcomers and anons are more likely to be damaging.