GPs provide a flexible and probabilistic framework for capturing complex relationships within datasets. In the context of predicting adsorption behaviors in MOFs, GPs offer a versatile approach to model adsorption isotherms. The integration of GPs into the proposed framework enhances the robustness and reliability of the predictive modeling, making it a key component in predicting the adsorption in MOFs.