PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #86
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #86: Real Exam Question with Answer & Explanation
Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #86. The question stem and answer options stay visible for context.
Question
You work at a subscription-based company. You have trained an ensemble of trees and neural networks to predict customer churn, which is the likelihood that customers will not renew their yearly subscription. The average prediction is a 15% churn rate, but for a particular customer the model predicts that they are 70% likely to churn. The customer has a product usage history of 30%, is located in New York City, and became a customer in 1997. You need to explain the difference between the actual prediction, a 70% churn rate, and the average prediction. You want to use Vertex Explainable AI. What should you do?
Options
- ATrain local surrogate models to explain individual predictions.
- BConfigure sampled Shapley explanations on Vertex Explainable AI.
- CConfigure integrated gradients explanations on Vertex Explainable AI.
- DMeasure the effect of each feature as the weight of the feature multiplied by the feature value.
Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer
You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.