The study investigates accuracy of two machine learning methods, neuro fuzzy system with grid partition (ANFIS-GP) and multi variate adaptive regression spline (MARS) in prediction of 1-day to 6-day ahead ground water levels (GWL) using data from two wells, USA. The outcomes indicate that the ANFIS-GP provides inferior results compared to regression based simple MARS method. The MARS method which is much simpler than the ANFIS-GP is recommended for short-term GWL prediction.
