A company decides to use the Amazon Machine Learning service to classify social media posts that mention your company into two categories: posts that require 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. You are missing the target labels that are required for training. What should be the next step to ensure you get the right results from the Machine Learning analysis?

Answer options:

A.Use the Regression Model of the Machine Learning service to classify the media posts
B.Use the Binary Model of the Machine Learning service to classify the media posts to classify into 2 categories, basically those that require a response and those that don’t
C.Ensure a team is assigned to review each post and provide the label.
D.Using the a priori probability distribution of the two classes, use Monte-Carlo simulation to generate the labels