Optimization Of Diabetes Prediction Methods Based On Combinatorial Balancing Algorithm

This article discusses the use of LightGBM and Optuna to create a diabetes prediction framework. The combination of these two tools allows for better predictive performance and addresses the issue of class imbalance in the dataset. The article also covers data preprocessing and presents experiments and comparisons with other methods.