The application of machine learning methods requires a selection of descriptors which accurately delineate the diverse zeolite structures and their characteristic features, and can be expected to relate to the mechanical properties to be predicted. We chose here to base the machine learning purely on structural and geometric quantities, as our aim is the automated prediction of mechanical properties directly from a single structure, without the need for any calculation of chemical properties.