This was the final project for STAT 270 – Statistical Learning. For this project, we were tasked with choosing a dataset online and creating a statistical model on that data. We chose a dataset on Multiple Sclerosis Diseases on Kaggle.

In this project, we tested KNN, Naive Bayes, and Random Forest, as well as used LDA for exploratory data analysis. We were able to conclude that Random Forest was the best model with the most important predictors affecting the likelihood of Multiple Sclerosis.

https://github.com/noazlee/stat270final – link to the github repository which contains that reports, model cards, dataset and the rstudio notebook.