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You are a bank employee with access to a labeled dataset containing information on approved loan applications and their default outcomes. Your objective is to develop a model to predict default rates for future credit applicants. What steps should you take to accomplish this?
A
Increase the dataset's volume by collecting additional data.
B
Integrate applicants' social media profiles with their loan applications to enhance feature engineering.
C
Remove biases from the data and collect details on previously declined loan applications.
D
Develop a predictive model, like logistic regression, to assess the risk of credit default.