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MLS-C01 · Question #144

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

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Modeling

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

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Topics

#Binary Classification#XGBoost#SageMaker Built-in Algorithms#Tabular Data
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