Sorted by variable importance (Reading direction), y-axis is cross validated feature contributions (change of predicted probability due to variable value), x-axis is variable value. Color gradient color all samples by glucose. Color gradient show how other variables interact with glucose. Fitted line (LOO-kNN-gaussian) describes how well the each variable effect is described by the variable itself. R2 quantifies the goodness-of-fit when visualizing the variable effect as on main effect.