Table 6. Final results with the best regression models analysed with the three original inputs and calibration inputs, i.e., four points of the tray (x, y).

Best values are marked in bold.

Regression model	MAE (cm)	R2
GBR 10-fold	$1.3304\pm 2.0937$	0.8740
Extra trees 10-fold	$1.4098\pm 2.3239$	0.8531
SVM lineal 10-fold	$1.8234\pm 3.3598$	0.6996
SVM radial 10-fold	$1.2994\pm 2.2449$	0.8620
CatBoost 10-fold	$\mathbf{1}.\mathbf{2713}\pm \mathbf{2}.\mathbf{0616}$	0.8840