Mostafa Sadeghzadeh

Assessing machine learning-based feature selection methods for estimating daily reference evapotranspiration using meteorological data

A novel hybrid framework, integrating seven advanced filter-based and embedded feature selection techniques with an Extreme Gradient Boosting (XGBoost) model, to enhance reference evapotranspiration (ETo) estimation, revealed promising results for ETo estimation for both climatic conditions.