Additionally, as expected the number of predictions in the top 50 increases with the number of rings in the substrate (Figure ). Again, we observed that the 'Ring Breaker' model trained on the Reaxys dataset suggests more ring formations in the top 50 predictions than that trained on the USPTO dataset.