We used the XGBoost machine learning model and AUC value to screen out the optimal combinations of variables for breast cancer diagnosis from a variety of differential proteins: PON3, IGLV3‐10, and IGHV3‐73. This evidence concerns the gene PON3 and breast carcinoma.