Abstract In the present research, three different data-driven models (DDMs) are developed to predict discharge coefficient of streamlined weirs (Cdstw). Some machine-learning methods (MLMs) and intelligent optimization (IOMs) such as Random Forest (RF), Adaptive Neuro-Fuzzy Inference System (ANFIS), gene expression program (GEP) employed for prediction Cdstw. To identify input variables Cdstw b...