On the other hand, concluding that the top-k accuracy is an ineffective measure for retrosynthesis is not possible. This is because as one considers the retrosynthesis accuracy at values of k ≥ 5, the template-based models (alongside MEGAN and G 2 Retro) are shown to be superior. Similarly, in Table , these frameworks are found to be the most promising. It is thus deduced that a high retrosynthesis accuracy at values of k ≥ 5 indicates the success of frameworks in finding a diverse set of reactants given a specific target. This is because a higher diversity results in a higher likelihood of finding the ground-truth reaction at higher k resulting in an increase in top-k accuracy. Nevertheless, as mentioned before, the top-k accuracy does not provide a direct measure of chemical feasibility as achieved through rt-accuracy. Hence, it is proposed to gauge the initial performance of retrosynthesis frameworks using the top-k accuracy as sufficiently high k such as k ≥ 10. A conclusive comparison should be conducted on the metrics introduced in Section 2.2 to gain further insight into reaction feasibility, diversity and invalid predictions.