The capability of the machine learning method is evident by comparison of the RMSE observed for each of the force field models compared against the DFT dataset, presented in Table . This important comparison of different models for simulating the elastic response of zeolites is noticeably lacking from the literature. The machine learning model provides better accuracy than all force fields for the bulk modulus, with all force fields within the same RMSE range. However, two models treat shear moduli (G) poorly: the BKS and Matsui potentials, while the Catlow potential shows the best agreement with the DFT data. Importantly, the GBR model described here is equally accurate to the best conventional approaches and shows very good accuracy in treating the shear modulus G.