We executed three different cross-validation (CV) strategies, demonstrated by the toy examples in Figure , to gauge model performance. For defect-wise and compound-wise CV, we utilize K = 10-fold cross validation. For each k-fold, 10% of the training data is held as a validation set for early stopping, and the mean absolute error over all n defects in the test set is computed,