In this study, two traditional machine learning models established using the PLS-DA and AdaBoost algorithms and a novel machine learning model established using the LGBM algorithm were applied to predict the ADMET properties named Caco-2, CYP3A4, hERG, HOB, and MN of anti-breast cancer compounds. This evidence concerns the gene CYP3A4 and breast cancer.