MLS-C01 · Question #144
MLS-C01 Question #144: Real Exam Question with Answer & Explanation
The correct answer is B: XGBoost. XGBoost is a popular and powerful algorithm for binary classification problems such as this one, where the goal is to predict a binary outcome (e.g. whether a customer subscribes or not). It is particularly effective when the dataset has a mix of numerical and categorical feature
Question
A newspaper publisher has a table of customer data that consists of several numerical and categorical features, such as age and education history, as well as subscription status. The company wants to build a targeted marketing model for predicting the subscription status based on the table data. Which Amazon SageMaker built-in algorithm should be used to model the targeted marketing?
Options
- ARandom Cut Forest (RCF)
- BXGBoost
- CNeural Topic Model (NTM)
- DDeepAR forecasting
Explanation
XGBoost is a popular and powerful algorithm for binary classification problems such as this one, where the goal is to predict a binary outcome (e.g. whether a customer subscribes or not). It is particularly effective when the dataset has a mix of numerical and categorical features.
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