Figure (b) shows the dataset size dependence of the MAEs and their standard deviations for the work function dataset. A roughly linear decrease in the MAEs is observed with a logarithmic increase in the dataset size for splitting strategies C K = {Random, Structure, Composition, and Chemsys}. The standard deviations of the MAEs typically decrease with increasing dataset size. However, for splitting strategies C K = {SG#, and Ele-ments}, the MAEs start to plateau with increasing data size, indicating that additional data may no longer improve the RF model's capability to infer OOD samples accurately.