The best models corresponding to the 'TIGHTOPT', 'LOOSEOPT', 'FORCE-FIELD', and 'SMILES' descriptors arise from the sorted coulomb matrix, Spectrophores, ECFP4 and the MACCS keys respectively. Within 3-D descriptors, the most accurate predictions arise from the models trained on 'TIGHTOPT' geometries. When considering all three geometries simultaneously, the best models are those corresponding to the random coulomb matrix. Furthermore, for the bag of bonds and random coulomb matrix descriptors, we see very close predictions between the 3 geometries.