Choosing the right error metric for your predictive model

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 or smaller errors more heavily?

Learn more here.