Figure 5.

Bar graph showing the performance (mean absolute error [MAE] and standard error) of different regression methods for the mean circumpapillary retinal nerve fiber layer using the 2 methods (forecasting model and forecasting model that used the augmented feature set) using 3 visits. The regression methods in the figure refer to the gradient boosting machine (GBM), multivariate linear regression (LR), multivariate linear regression with lasso (LR-lasso), support vector machine (SVM), and relevance vector machine regressor (RVM). CNN = convolutional neural network.