Figure 1.

Input, algorithms and output resulting from the combination of the trained regression models. Additionally, the right column shows the validation values r² for Pearson correlation coefficient, Bias and limits of agreement, obtained for each algorithm. Axl, axial length; Cr, corneal radius; R², coefficient of determination; RMSE, root mean squared error; SVR-linear, linear support vector regression; SVM-quadratic, quadratic support vector machine; GPR- Sq exponential, square exponential gaussian process regression; GPR- Matern, matern gaussian process regression;