You work at a subscription-based company that leverages machine learning models to predict customer behavior. Specifically, you have trained an ensemble of trees and neural networks to predict customer churn, which is the likelihood that customers will not renew their yearly subscription. Currently, the model's average prediction for churn rate across all customers is 15%. However, for one particular customer, the model predicts a 70% likelihood of churn. This customer has a product usage history of 30%, resides in New York City, and has been a customer since 1997. You need to provide a detailed explanation for why the model predicts a 70% churn rate for this individual as opposed to the average prediction of 15%. You plan to utilize Vertex Explainable AI to achieve this. What should you do?