While the overall accuracy, including test and validation metrics, is high, some misclassifications are present. The test set exhibits an overall misclassification rate of 9.5%. Only 3.3 % of the test set is incorrectly predicted as 'no' despite observed product formation (false negative), which is quite low. In the validation set, three reactions were misclassified: two as false positives (P69 and P70) and one as a false negative (P67) (Scheme 5, red or purple box). Understanding these misclassifications is crucial for identifying the limitations of the model. By examining the reactants and decision boundaries associated with these misclassifications, we can identify underlying patterns. For example, despite passing the decision tree boundaries, based on our substrate scope P69 and P70 could be predicted unsuccessful from lack of conjugation between the site of protonation and the ipso site of reactivity (see 'electrophile scope' section and Scheme 3 vide supra). This analysis enables us to attribute the misclassifications to specific heuristics, leading us to develop guidelines for application of our classification model. The identified heuristics are: