Here we have demonstrated a novel machine learning methodology and descriptors for the large-scale prediction of elastic bulk and shear moduli for all-silica zeolites. Our methodology combines GBR using regression trees and a set of local, structural and porosity features to generalise zeolite materials. The development of this model has highlighted several correlations which link characteristic features of a zeolite to these important elastic properties.