GuacaMol has rediscovery tasks for three known drugs: Celecoxib (an anti-inflammatory), Troglitazone (an antidiabetic), and Thiothixene (an antipsychotic). Note that all three rediscovery tasks have been previously solved by several different methods 2 , while exhibiting varying levels of reliability and efficiency. In previous work , we used the hardest of these tasks, the rediscovery of Troglitazone, to quantify the efficiency between GB-EPI and GB-GA. In this paper, we apply the Troglitazone rediscovery task to assess the effectiveness of GB-BI. Unlike computationally demanding docking tasks, the evaluation of Tanimoto similarities incurs limited computational costs. This enables us to efficiently gather a substantial amount of statistical data on the performance of GB-GI with regard to the use of different molecular representations and acquisition functions. A drawback of the simple rediscovery tasks of GuacaMol is their relatively lack of discriminative capabilities .