this program utilizes data from the UCI Machine Learning Repository to predict cardiovascular disease in patients the data was reformatted - updating variable names, removing variables with excess missingness
- two machine learning models - logistic regression and naive bayes were run on the data output includes table 1, two models, and variable importance for each model