Predicting Running Injuries with Classification Machine Learning Models

Can running injuries be predicted using only a dataset and machine learning models? This paper explores this question classification models, including the Logistic Regression model Random Forest Classifier model. In used, ten features were taken into account when predicting injuries. With slight modifications, Weighted over down-sampling models used to mitigate imbalance in dataset. The results suggested that best was score metric consider F-beta score.