Table : Average MAE, RMSE, and dataset size with standard deviations from 5-fold cross-validation of combinations of active learning hyperparameters evaluated by training cNNPs with an oxalic acid CSP landscape. The cNNPs were trained either on total energy (E)/forces (F ) or the difference between the CSP values and the reference values (∆E/∆F ). All entries used an uncertainty cutoff of 1.0 kJ mol -1 with candidates selected by highest uncertainty.