The predictive accuracy and generalizability of the models were validated using the 20% test dataset. For hybrid models, the performance was compared against stand-alone RSM and ML models to assess their ability to capture complex variable interactions and improve prediction accuracy. Statistical parameters such as R-squared, RSME, MSE, and MAE were used to compare the prediction accuracy of each model.