The equipment learning algorithm, random forest, in conjunction with MACCS descriptors, is used for prediction. It provides a swift screening strategy for evaluating chemical toxicity, determining molecular factors that maximize or reduce toxicity, and giving fragment contribution predictions.Inside the context of forensic and clinical toxicology,