Skip to main content


         This documentation site is for previous versions. Visit our new documentation site for current releases.      
 

Creating a Pega predictive model

Updated on April 5, 2022

Use customer data to develop powerful and reliable models that can predict customer behavior, such as offer acceptance, churn rate, credit risk, or other types of behavior.

  1. In the navigation pane of Prediction Studio, click Models.
  2. In the header of the Models work area, click NewPredictive model.
  3. In the New predictive model dialog box, enter a Name for your model.
  4. In the Create model section, click Use Pega machine learning.
  5. Select a Category and a model Template.
    Note: If a model template that you need is not available, import it. See Importing a project.
  6. Click Start.
What to do next:

Edit the settings for your model. See Edit settings.

Prepare the data to use in your model. See Preparing data.

Have a question? Get answers now.

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

Did you find this content helpful?

Want to help us improve this content?

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