Table presents the results for four toxicity endpoints, comprising one regression task (LD50 in rats) and three classification tasks (hERG, AMES, DILI). In predicting diverse datasets, the performance varies across models. ChemProp stands out for LD50 in rats, surpassing other models by 6.6%, with MTE as the second-ranked model. For the hERG dataset, MTE outperforms the second-ranked model, DeepPurpose's MLP(R), by 3.4%.