In previous section, we have presented the performance of eight ML models in predicting both E f and E g across MP, OQMD, and CMR datasets. It is important to note that the size of the dataset plays a crucial role in determining the model performance. Generally, as the size of the dataset increases, ML models tend to exhibit higher accuracy as more data examples enable the model to learn a more robust correlation of the underlying data distribution and capture the complex structure-property relationships hidden inside the datasets. a.