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View Code? Open in Web Editor NEWUsing Conditional Probability, the goal of this project was to construct a multinomial Naive Bayes algorithm to handle classification of new messages with an expected accuracy of 80%. The model exceeded expectation by classifying new messages with an accuracy of ~86%.
License: MIT License