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TEAM

Predicting Successful Graduation from Performance in Mathematics Courses

Kris Lee, Gonzalo Cazes-Nasitiqui, Caleb Hughes, David Larue, Arvind Suresh

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We aim to develop a model to predict the likelihood of a student successfully completing their undergraduate degree based on their performance in their mathematics courses. Our dataset comes from Iowa State University and it includes the mathematics courses taken by every student in the College of Liberal Arts and Sciences from the past 10 years, along with whether or not the student got below a C in the course, the student’s degree information, entry term, and graduating semester (if present).

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