The average root mean square error of the model's predictions of sagittal motion was equal to 0.1 deg.

The best GA-PLS model was characterized by the value of root mean square error of prediction RMSEP = 0.108 logarithmic Pascal units.

Much improved curve fitting was achieved for all UTE-Cones biomarkers with greatly reduced root mean square errors.

Root Mean Square Error (RMSE) of image is calculated to study the convergence of reconstructed images compared with the truth image.