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?
Random Cut Forest (RCF)
XGBoost
Neural Topic Model (NTM)
DeepAR forecasting
Explanations:
Random Cut Forest (RCF) is used for anomaly detection, not for supervised classification tasks.
XGBoost is a powerful, widely used algorithm for classification tasks, such as predicting subscription status.
Neural Topic Model (NTM) is designed for topic modeling, not for predicting binary outcomes like subscription status.
DeepAR is a time-series forecasting algorithm, not suitable for classification tasks like predicting subscription status.
I gauge that the answer is:
XGBoost