What does the header component in PMML typically include?

The header component in PMML (Predictive Model Markup Language) is designed to provide essential metadata about the model being described. This includes information such as the model's name, its version, the date it was created, and details about the organization or individual who created it. This information is crucial for users and applications to understand the context of the model, including its intended use and any versioning concerns.

By having this metadata clearly defined in the header, users can ensure they are using the most appropriate and up-to-date model for their scoring or prediction needs. The header thus serves as a vital point of reference in the PMML structure, which helps in maintaining clarity and consistency in model deployment and usage across different environments and applications.

Understanding this component is important within the realm of predictive modeling and decision-making processes, as it sets the stage for the credibility and traceability of model outputs.