I plan to uncover what variables are best at determining whether, once admitted, a student will enroll at Juniata College. The data included are variables associated with first-time, first-year applications from the fall application cycles of 2018 through 2021. To do this, I will be using random forests, a type of machine learning algorithm that can be used to classify a dataset. I plan to compare different models made by using recently developed random forest methods and to compare these models using varying comparison methods.