MLS-C01 · Question #200
MLS-C01 Question #200: Real Exam Question with Answer & Explanation
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Question
An ecommerce company sends a weekly email newsletter to all of its customers. Management has hired a team of writers to create additional targeted content. A data scientist needs to identify five customer segments based on age, income, and location. The customers' current segmentation is unknown. The data scientist previously built an XGBoost model to predict the likelihood of a customer responding to an email based on age, income, and location. Why does the XGBoost model NOT meet the current requirements, and how can this be fixed?
Options
- AThe XGBoost model provides a true/false binary output. Apply principal component
- BThe XGBoost model provides a true/false binary output. Increase the number of classes
- CThe XGBoost model is a supervised machine learning algorithm. Train a k-Nearest-
- DThe XGBoost model is a supervised machine learning algorithm. Train a k-means model
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