Question 124 of 307
Single answerYou work for a bank. You have a labelled dataset that contains information on already granted loan application and whether these applications have been defaulted. You have been asked to train a model to predict default rates for credit applicants.
What should you do?
AIncrease the size of the dataset by collecting additional data.
✓BTrain a linear regression to predict a credit default risk score.
CRemove the bias from the data and collect applications that have been declined loans.
DMatch loan applicants with their social profiles to enable feature engineering.
✓
Correct Answer: B
Train a linear regression to predict a credit default risk score.
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Explanation
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