A Stratified Machine Learning Framework for Acute Oral Toxicity Hazard Prediction of Chlorobenzene Compounds
Chlorobenzene compounds are environmentally relevant chlorinated chemicals for which efficient acute-hazard screening can complement experimental assessment. Reliable prediction of acute oral toxicity can support chemical prioritization, while conventional in vivo testing is costly and ethically constrained. Here, we c...