Halim Dayanan

Metaheuristic Hyperparameter Optimization of Machine Learning Models for Diabetes Prediction

This study investigates the effect of metaheuristic hyperparameter optimization on machine learning-based diabetes prediction using a unified experimental framework. Five classifiers—Logistic Regression, K-Nearest Neighbors, Decision Tree, Random Forest, and XGBoost—were optimized using the Dhole Optimization Algorithm...