Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

• Main Authors: Osman, Ahmedbahaaaldin Ibrahem Ahmed, Ahmed, Ali Najah, Chow, Ming Fai, Huang, Yuk Feng, El-Shafie, Ahmed
• Format: Article
• Published: Elsevier 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/27933/

Groundwater levels have been declining recently in Malaysia. This is why, the current study was aimed to propose an accurate groundwater levels prediction model using machine learning algorithms in highly populated towns in Selangor, Malaysia. The models developed used 11 months of previously record...