Feature selection is a critical step in building predictive models in toxicology. It involves identifying and selecting a subset of relevant features (variables) from a larger dataset that contribute significantly to the prediction of a toxicological response. This process helps in improving model performance, reducing computational cost, and enhancing the interpretability of the model.
