The MTE demonstrates the best overall performance, with the highest means and medians among the five models. Notably, the worst-performing model of MTE still achieves a secondplace ranking, which is the lowest among all five models. ChemProp follows as the second-best performer, with rankings ranging from first to last. While ChemProp is competitive, its performance is inconsistent across the benchmark datasets. The remaining three DeepPurpose models, MLP(R) and GCNN, each achieve a first-place ranking only once.