Monitoring adaptive models

It is a regular data scientist task to inspect the health of the adaptive models and share the findings with the business. The predictive performance and success rate of individual adaptive models provide information that can help business users and decisioning consultants to refine business processes. The content of this module showcases adaptive models used in Customer Decision Hub predictions that aim to optimize customer engagement but is equally relevant for case management predictions.

Learn how to monitor the performance of the adaptive models and how to export the raw data that adaptive models have processed to inspect and validate the predictors.

After completing this module, you should be able to:

Practice what you learned in the following Challenges:

Available in the following mission: