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You are developing a loan approval model that predicts whether to approve or reject loan applications based on features such as income, credit score, and employment history. The bank requires that the model be both accurate and fair, ensuring it does not discriminate against demographic groups like age, gender, or ethnicity. Which combination of evaluation metrics and bias detection methods is MOST appropriate to ensure fair and accurate model predictions?