Alcohol Mortality Model

A logistic regression model which assesses global alcohol-attributable mortality rates. Final project for STAT 303-2 at Northwestern University.

This project’s goal was to build a model that will be able to identify if a country is at a high risk for having too many deaths attributable to alcohol (as a proportion of total deaths). We sought to optimize the model’s classification accuracy, along with its false negative rate. To test the metrics, we used 10-fold cross validation. The final model was developed using forward selection with interactions between some predictors. Check out the GitHub repository for a more in-depth report of the project.