The current models are trained with data from 2016. We should run a new labeling campaign so we can boost the number of observations and the recency of the information.
@Zache helped us use flaggedrevs to try to boost the performance of the ORES model. There are reports that the model statistics don't look as good since we started using the flaggedrevs data. @Zache, what has your experience been?
Either way, I think training with new data is a good idea.