ml-engineer-pro video for as an ML engineer at a bank, you've created a binary classification model using AutoML Tables to determine whether a customer will
As an ML engineer at a bank, you've created a binary classification model using AutoML Tables to determine whether a customer will make timely loan payments, which is critical for loan approval decisions. Now, the bank's risk department has requested an explanation for why the model rejected a specific customer's loan application. What steps should you take in response to this request?