To assess the difficulty of extrapolation and model generalization, we quantify the distance between the OOD test set and training set using two complementary molecular representations: fingerprints and graphs. Following Sheridan's methodology, we implement a k-nearest neighbors approach (k=5) to calculate set-wise distances. For each molecule in the OOD test set, we identify its five nearest neighbors in the training set using two different representation and distance metrics: