Skip to main content

 –

Predictive models monitoring

Suggest edit Updated on March 11, 2021

Monitor the performance of your predictive models to detect when they stop making accurate predictions, and to re-create or adjust the models for better business results, such as higher accept rates or decreased customer churn.

Use various metrics to determine the predictive power of your models.

  • Metrics for measuring predictive performance

    Use different types of monitoring charts and statistics to verify the performance and accuracy of your predictive models.

  • Monitoring a predictive model

    Verify the accuracy of your predictive models by analyzing the data gathered in the Monitor tab.

  • Viewing a predictive model report

    To ensure that the performance of your predictive models is high, apart from accessing the default charts in the Monitor tab of the predictive models, you can create your own reports. View examples of such reports in Prediction Studio.

Did you find this content helpful? YesNo

Have a question? Get answers now.

Visit the Collaboration Center to ask questions, engage in discussions, share ideas, and help others.

Ready to crush complexity?

Experience the benefits of Pega Community when you log in.

We'd prefer it if you saw us at our best.

Pega.com is not optimized for Internet Explorer. For the optimal experience, please use:

Close Deprecation Notice
Contact us