The client from the project 20.1 has a son that is an upcoming music artist. The son wanted to test to see if Naive Bayes could be used to classify comments on social media as comments from fans or comments from “haters”. In the given data set there are comments already classified. Try making a prototype classifier using this data. Try a test size of 20% , then try a test size of 40%. Write a written report explaining how the test performed and how you can improve the model. Also explain how Naive Bayes works and why it may or may not be the right tool for what they want. Have this report written as if it was in an email but write it on a Google Doc. The value 0 in the Classifications means it is a fan comment.

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