Surface roughness is a critical quality indicator in precision manufacturing industries due to its direct impact on fatigue resistance and tribological performance of machine components. This study aims to predict surface roughness (Ra) values in the CNC milling process of S45C steel using flood cooling by integrating Support Vector Regression (SVR) and Gaussian Process Regression (GPR) algorit…