Six machine learning methods (linear regression, logistic regression, extreme gradient boosting (XGBoost), support vector machine, K-nearest neighbours and artificial neural network) were used to predict/classify the hydraulic conductivity of conventional sodium bentonite (Na-B) geosynthetic clay liners (GCLs) to saline …