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?

A. Random Cut Forest (RCF)
B. XGBoost
C. Neural Topic Model (NTM)
D. DeepAR forecasting