Summary

In this chapter, we learned how to use models after training. We discussed the methods that are used to score a dataset and also methods that are used for analyzing the resulting outputs. We also covered methods and considerations for turning predictions into actions or decisions. This is a critical step whereby you have to engage with your business stakeholders to make sure that introducing this model will not cause unforeseen problems. This is also the time to work on change management tasks such as communicating changes to people who are impacted by the change and ensure that users are trained in the new process and know how to use the new capabilities.

We then discussed how to use DataRobot capabilities to rapidly deploy a model and then monitor the model performance. It is easy to underestimate the importance of this capability. Model deployment and monitoring are not easy, and many organizations spend a lot of time and effort trying to deploy a model. Hopefully, we...