To assess the performance of different surrogate models, particularly within a low data regime, and to deliver promising predictions, we conducted a comparative study between several models. Four commonly used ML models were chosen to understand their respective benefits and limitations: linear regression, random forest (RF), Gaussian process (GP) and artificial neural networks (ANN). Hyperparameters for each model were optimized a priori, see SI for more detail (Section 3).