How are the outputs of a PMML compliant model defined?

The outputs of a PMML (Predictive Model Markup Language) compliant model are specifically mapped to strategy properties when configuring the appropriate component. This mapping process is integral to ensuring that the model's predictions and outputs can be effectively utilized within the Pega decisioning framework.

In the context of Pega, strategies are designed to guide decision-making processes, and the outputs produced by the predictive models need to be aligned with these strategies. The configuration step involves specifying how the results generated by the PMML model correspond to the strategy properties, allowing for a seamless integration of the model outputs into actionable insights or decisions.

The emphasis on mapping to strategy properties highlights the structured approach required for utilizing PMML models within Pega's decisioning capabilities. By properly coordinating the model outputs with the necessary strategy properties, organizations can leverage the predictive insights more effectively, enhancing their decision-making processes. This ensures that the correct metrics and predictions are utilized according to the business requirements defined in the strategy.

This understanding underscores the role of configuration in linking predictive analytics with operational strategy, facilitating a data-driven approach to decision-making within the platform.