What is the purpose of the Avocado Framework in the prediction-building process?

The Avocado Framework plays a crucial role in the prediction-building process by guiding users in structuring data for predictions. This framework helps ensure that data is organized and formatted properly, which is essential for accurate predictive modeling. By providing a structured approach, users can effectively leverage their data to derive meaningful insights and develop prediction models that can significantly enhance decision-making processes within the organization.

This guidance is particularly important in scenarios where data can come from various sources and may require preprocessing to be useful for building predictions. Proper structuring of data helps mitigate errors, increases model accuracy, and streamlines the overall modeling workflow.