Principal components (PCs) of the MOF textural properties were generated using scikit-learn . This was applied to a dataset containing 3445 MOFs textural properties to identify primary dimensions significantly contributing to variance. The AL process was identical as before but adding PC1 and PC2 as input features to the AL process: 𝑁~𝐹(𝑓, 𝜀, 𝜎, 𝑙, 𝑞, 𝑃𝐶1, 𝑃𝐶2).