Google Professional Machine Learning Engineer
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As a Machine Learning Engineer at a leading financial institution, you've developed a binary classification model using Google Cloud's AutoML Tables to predict the likelihood of customers making timely loan repayments. This model plays a critical role in the loan approval process. Following a model's decision to reject a loan application, the risk management team requests a detailed explanation to understand the factors influencing this decision. The explanation must not only clarify the model's reasoning but also adhere to regulatory compliance requirements for transparency in automated decision-making. Given these constraints, which method should you employ to provide a comprehensive and compliant explanation for the model's decision? Choose the best option.
As a Machine Learning Engineer at a leading financial institution, you've developed a binary classification model using Google Cloud's AutoML Tables to predict the likelihood of customers making timely loan repayments. This model plays a critical role in the loan approval process. Following a model's decision to reject a loan application, the risk management team requests a detailed explanation to understand the factors influencing this decision. The explanation must not only clarify the model's reasoning but also adhere to regulatory compliance requirements for transparency in automated decision-making. Given these constraints, which method should you employ to provide a comprehensive and compliant explanation for the model's decision? Choose the best option.