For most descriptors, we don't see a significant difference in the model predictions w.r.t. the three geometries, thus, models trained on less accurate geometries can potentially be used to make predictions on a large dataset. Since the creation of descriptors using 'FORCE-FIELD' and 'LOOSEOPT' geometries takes substantially lower time than that for 'TIGHTOPT' geometries, the primary bottleneck, i.e. the computational overhead in the HTPS protocol can be alleviated.