PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #99
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #99: Real Exam Question with Answer & Explanation
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Question
You are an ML engineer at a bank. You have developed a binary classification model using AutoML Tables to predict whether a customer will make loan payments on time. The output is used to approve or reject loan requests. One customer's loan request has been rejected by your model, and the bank's risks department is asking you to provide the reasons that contributed to the model's decision. What should you do?
Options
- AUse local feature importance from the predictions.
- BUse the correlation with target values in the data summary page.
- CUse the feature importance percentages in the model evaluation page.
- DVary features independently to identify the threshold per feature that changes the classification.
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