Comparative assessment of machine learning models for seasonal groundwater-level prediction in the Hiran Basin, India
Groundwater monitoring and water-resource management in the context of growing climatic variability requires accurate prediction of groundwater levels. In this study, six machine-learning models were tested including Random Forest (RF), Extreme Gradient Boosting (XGB), Extra Trees Regressor (ETR), Histogram Gradient...