Which Amazon Machine Learning model is the most appropriate for the task?

An administrator tries to use the Amazon Machine Learning service to classify social media posts that mention the administrator’s company into posts that requires a response and posts that do not. The training dataset of 10,000 posts contains the details of each post including the timestamp, author, and full text of the post. The administrator is missing the target labels that are required for training.

Which Amazon Machine Learning model is the most appropriate for the task?
A . Unary classification model, where the target class is the require-response post
B . Binary classification model, where the two classes are require-response and does-not-require- response
C . Multi-class prediction model, with two classes require-response and does-not-require response
D . Regression model where the predicted value is the probability that the post requires a response

Answer: D

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