K. Erten

Prediction And Analysis Of Concrete Compressive Strength By Machine Learning Methods

This work presents a systematic multi-model comparison within a unified hyperparameter optimization framework and highlights that boosting-based machine learning models not only achieve high accuracy but also provide interpretable and robust predictions when evaluated through comprehensive error and explainability analyses.