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Author

Timur Lale

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Open access Oct 2026

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...

Halim Dayanan, Ali Akdağli, Timur Lale · 0 citations
Conference Aug 2026

A Comparative Study of Ensemble Tree-Based Models for Short-Term Electricity Load Forecasting

Short-term load forecasting (STLF) is an essential task for reliable power system operation, economic dispatch, reserve scheduling, and grid planning. This study aims to provide an operationally realistic and interpretable comparison of five ensemble tree-based machine learning (ML) models for national electricity dema...

Timur Lale · 0 citations

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