“…The first technique, a supervised machine learning approach [random forest (RF)], was used to model the relationship between foveal function [foveal sensitivity (FS); VA] and retinal structure. Following our previous data analyses ( Sumaroka et al, 2019 ), two groups of models based on the form of input variables were constructed. The model in each group was applied to predict FS and VA. Group 1 (Model I-FS and I-VA) used the input features derived from segmentation parameters: thicknesses of ONL, IS, COS, and RPE, and the number of distinct layers between ELM and RPE2/BrM.…”