Interview Query

Rejection Reason

9
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Suppose we have a binary classification model that classifies whether or not an applicant should be qualified to get a loan.

Because we are a financial company, we have to provide each rejected applicant with a reason why.

Given we don’t have access to the feature weights, how would we give each rejected applicant a reason why they got rejected?

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