Sep 2026
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.
Mostafa Sadeghzadeh, S. Karimi, Jalal Shiri et al.
· Theoretical and Applied Clim... · 0 citations