Want to learn what to consider when choosing an error metric for your machine learning model? Read this post I wrote on Cardinal Path’s blog! The main considerations are: Do we want to punish overestimates or underestimates more heavily? Are there segments which have greater costs associated with incorrect predictions? Should we punish larger errors […]