In conclusion, different ML algorithms do not consistently benefit from any aggregation strategy. Most interestingly, adding points targeting empty regions of the chemical space does not show a clear advantage. These findings shed light on the strengths and limitations of different approaches in the context of dataset aggregation and provide valuable insights for future studies in this domain.