What happens to the model nugget when you re-run the CHAID node with different predictors?

When you re-run the CHAID node with different predictors, the model nugget will be updated automatically because of the established link between the CHAID node and the model nugget. The CHAID node is designed to create a decision tree based on the predictors provided. If you modify the inputs (predictors) of the CHAID node and execute it again, the link ensures that any new model generated will replace or update the existing model nugget while maintaining the same connections in the analytical workflow.

This automatic updating is crucial for ensuring that model performance is based on the most current data and selected predictors. The design of the predictive analytics environment typically emphasizes the need for dynamic updates to accommodate model revisions, ensuring that insights remain relevant and actionable.

Other options involve additional nodes or conditions that do not reflect the direct nature of the CHAID node and model nugget relationship.