Here we demonstrate that, when predicting high-risk ODX status in patients with breast cancer, logistic regression models trained on a large NCDB dataset incorporating quantitative features for ER/PR% and Ki-67% outperform models utilizing only categorical features for ER/PR status. This evidence concerns the gene MKI67 and breast carcinoma.