By Madison McCarty Faculty Mentor: Evan Coleman Abstract This project investigates the use of machine learning to predict injury risk across two distinct datasets characterized by extreme class imbalance. Injuries represented approximately 1–2% of all observations, making traditional accuracy-based evaluation insufficient. To address this challenge, data balancing techniques and cost‑sensitive learning were applied to emphasize…