Given the good performance we observed on bidentate hemilabile ligands, we repeated our analysis and ML model training for tri-and tetradentate ligands. Given the somewhat smaller dataset sizes, we reduced the requirement for the number of unique complexes to confidently label negative examples (Supporting Information Figures ). For both tridentates and tetradentates, we trained XGBoost ML models using all three protocols we demonstrated on the bidentate set.