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Table of Contents

Creating a Pega predictive model

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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 New Predictive 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.

    If a model template that you need is not available, import it. See Importing a project.
  6. Click Start.

Edit the settings for your model. See Editing settings for a predictive model.

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

  • Template categories for creating predictive models

    You can create predictive models that are based on default templates for business objectives.

  • Setting access to Prediction Studio

    Use the Prediction Studio to create, update, and monitor machine learning models. To access the portal, add the pxPredictionStudio portal to your access group.

  • Importing a project

    You can import a project with a predictive model that you want to use or develop in Prediction Studio. This must be a project that was exported from a Pega Platform instance. Typically, you import projects when you need to move them between different instances of Pega Platform.

  • Exporting a project

    You can export a project with a predictive model and import it into another Pega Platform instance. Typically, you export projects when they need to be moved between different instances of Pega Platform.

  • Template categories for creating predictive models

    You can create predictive models that are based on default templates for business objectives.

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