GitHub - tahmeed14/classification-models-for-alcoholism: A data mining and model fitting project where we processed an open source college data set and fitted multiple classification models to find the optimal model (lowest test error rate) for the classification of alcoholism in college students. Models explored were Logistic Regression, Lasso Regression, Ridge Regression, and Random Forest. Collaborators: Aidan Kearns and Anthony Zheng, University of Michigan

tahmeed14 / classification-models-for-alcoholism Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

A data mining and model fitting project where we processed an open source college data set and fitted multiple classification models to find the optimal model (lowest test error rate) for the classification of alcoholism in college students. Models explored were Logistic Regression, Lasso Regression, Ridge Regression, and Random Forest. Collabor…