Boruta algorithm extracts statistically significant explanatory variables through repetitive testing procedures. For a given dataset, Boruta identified the following six explanatory variables: EState_VSA7, FractionCSP3, GibbsEnergy, HOMO, SMR_VSA10, VSA_EState6 (Fig. ). The noticeable differences between the variable selection results of GPT-4 and Boruta lay in a) the number of selected variables, and b) the nature of the variables themselves.