Fall 2025 PH251 R for Public Health group project, scenario 1, milestone #4

A

This project uses the SpamAssassin corpus to build a Naive Bayes classifier that predicts whether emails are spam or ham. After preprocessing and vectorizing the text, the model is trained and evaluated on a test set. The results highlight the challenges of imbalanced text data while demonstrating the full workflow for building a spam detection model in R.