This study presents two machine learning models, namely, the light gradient boosting (LightGBM) and categorical (CatBoost), for first time predicting flash flood susceptibility (FFS) in Wadi System (Hurghada, Egypt). A inventory map with 445 sites was produced randomly divided into groups training (70%) testing (30%). Fourteen controlling factors were selected evaluated their relative importanc...