When evaluating the correlations between the other fingerprints, it becomes clear that some fingerprints are highly correlated (above 0.8) with each other. MAP4 and MHFP (string fingerprints), as well as DFS and ASP (pharmacophore fingerprints) show high Pearson correlation coefficients (0.85 and 0.92 respectively). This is consistent with the fact that they belong to the same class, and hence are based on a similar featurization strategy. The first pair is especially interesting, given that while they both rely on SMILES substrings, MAP4 relies on topological distances between atom pairs, while MHFP considers circular neighborhoods around atoms for its fragments. This difference is also consistent when looking at their correlation with other circular fingerprints, such as ECFP and FCFP: MHFP strongly correlates with both (0.77 and 0.88), while MAP4 to a lesser extent (0.67 and 0.77).