Classification with feature-based multiple models. The prediction process is shown for EASE-SS, however, the same applies to EASE-ASA. First, the secondary structure (accessible surface area) is predicted. Next, the relevant model is selected and used for prediction. That is, if the mutation is in a helical (exposed) residue, only the helix (exposed) model is used.