Even for training samples, there is a relatively large error in the predicted values for samples with higher water content. This is due to the unbalanced distribution of samples, with most samples concentrated in regions with lower water content and fewer in regions with higher water content. The typical accurately predicted points and errors, as illustrated in Fig. for the test regression curve, further confirm this observation.