In this article, we’ll take a deep dive into the customer churn/retention use case. This should contain everything needed to get started on the use case, and enterprising readers can also try this out for themselves in a free trial of Continual, following the customer churn example in the linked github repository.

Is your model ready for production? It depends on how it’s measured. And measuring it with the right metric can unlock even better performance. Evaluating model performance is a vital step in building effective machine learning models. As you get started on Continual and start building models, understanding evaluation metrics helps to productionize the best performing model for your use case.