This paper is organized as follows. Section 2 describes how the dataset was generated and used to train atom-centric ML models. Section 3 describes the performance of the ML models, the relative feature importance for electronic and structural features, and evaluates the relative performance of ML models for several HTVS catalyst discovery scenarios. Section 4 concludes by discussing how these results inform future catalyst discovery.