An analyst working for a large bank created a decision tree model that can be us

Question

An analyst working for a large bank created a decision tree model that can be used to predict a potential borrower's likelihood of defaulting on the loan. Another analyst recommended that other models (such as k-nearest neighbors, neural networks, etc.) might be more accurate. Bank management, however, wanted to continue to use the decision tree, even if other algorithms were more accurate. What is the likely explanation for the management's view?

A. It would probably too expensive to change models.

B. Management did not believe that other models could be more accurate.

C. Management believed that the decision tree would help the bank avoid lawsuits.

D. Bank managers are notoriously resistant to change.

It's not A and I think it's B.

Explanation / Answer

The assumption of the other analyst was that other models are accurate. The management's decision is entirely based on the opinion of the stated claim.

Therefore, the answer should be B.

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