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You are employed at a subscription-based company. You have trained an ensemble of tree and neural network models to forecast customer churn, which is the probability that customers will not renew their annual subscriptions. While the average prediction indicates a 15% churn rate, a specific customer is forecasted to have a 70% likelihood of churning. This customer has a product usage history of 30%, resides in New York City, and has been a customer since 1997. Your objective is to elucidate the distinction between the individual prediction of a 70% churn rate and the average prediction. To achieve this, you intend to employ Vertex Explainable AI. What is your recommended course of action?