PGR and neoplasm: The random forest model was a better performer than the logistic regression model, as shown by the average 0.17 difference in AUC: 0.86 vs. 0.66 for lymph node status, 0.88 vs. 0.71 for tumor grade, 0.85 vs. 0.69 for tumor size, 0.88 vs. 0.73 for ER status, 0.85 vs. 0.68 for PR status, 0.88 vs. 0.69 for HER2 status, 0.85 vs. 0.70 for Ki67 status, and 0.82 vs. 0.69 for molecular subtypes.