Various model architectures for reactivity prediction have been considered, ranging from linear multivariate regression, k-nearest neighbors (KNN), random forests (RF), graph neural networks (GNN), XGBoost and FFNN, to geometry-based kernel ridge regression (KRR) models. An in-depth discussion of the characteristics of each model considered can be found in Section S3 of the Supporting Information.