Table of Contents

Article

Make better predictions through actionable insights in Prediction Studio (8.3)

You can now detect deteriorating predictive performance of adaptive and predictive models through notifications in Prediction Studio. These notifications are actionable insights that guide you to models with low accuracy. You can use that guidance to discover predictive models that might have become stale and, therefore, require replacement, or to identify adaptive models with predictor issues.

The notifications provide status information about monitoring parameters such as low performance, uneven response distribution, and a lack of monitoring data for a model.

Viewing notifications for a model - example
Viewing notifications for a model - example

By acting on the notifications that appear whenever a problem occurs, you can limit the negative effect on your strategies and customer relations that models with low accuracy might have.

You conveniently access the notifications from the Prediction Studio header, in a model instance, or in the list of instances of a model rule, as shown in the following examples:

User interface controls for accessing notifications - Adaptive Model rule
User interface controls for accessing notifications - Adaptive Model rule
User interface controls for accessing notifications - Notifications icon
User interface controls for accessing notifications - Notifications icon

For more information, see Accessing Prediction Studio notifications and Prediction Studio notification types.

Published September 4, 2018 — Updated August 9, 2019


100% found this useful

Related Content

Have a question? Get answers now.

Visit the Pega Support Community to ask questions, engage in discussions, and help others.