This project utilizes the 2015 BRFFS survey data to predict cases of diabetes. Predictors like age, BMI, and blood pressure were used to train a Lightgbm model. The final model yielded an accuracy of 76%.
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Template repo for Data Science for Biomedical Informatics (BMIN503/EPID600) final project
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