In this session...
When building predictive models to deliver targeted advertisements, the decision on how to measure success is critical to the ultimate success of the model. The wrong measure of success will lead to models that preform below expectations in the real wold. This talk focuses on how data scientists define model success, the common pitfalls, and how choosing the right metric of success leads to better advertising outcomes.
