The goal of this project is to create the best classification model to predict the Alcoholic Status of an individual based on their vital signs by building various machine learning predictive models, using data collected from the National Health Insurance Service in Korea.
This is a final group project and part of a Kaggle competition. Groups are evaluated based on their model's accuracy in predicting Alcoholic Status on unseen data.