With 1529 elements in a descriptor vector it is crucial to use a dimensionality reduction algorithm to avoid overfitting the models. We applied the least absolute shrinkage and selection operator (LASSO) algorithm to our datasets. Since LASSO is a supervised dimensionality reduction algorithm it cannot be applied to the set of monolayer descriptors.