The overall predictive quality of the model is demonstrated by an 𝑅² value of 0.951 and a MAE of 5.11 cm³ (stp)/g framework. These metrics indicate that while the GPR model performs well across a broad range of adsorption values, some variability remains, particularly at higher adsorption levels. Nonetheless, the results show that the selected 611 MOFs provide a well-distributed and representative dataset, ensuring reliable predictions across the most common pressure points. This final model represents a robust framework for predicting adsorption performance in MOFs, facilitating efficient exploration and selection of MOF candidates.