The accuracy was higher for the random forest model than for the logistic regression model by 13% on average: 78% vs. 62% for lymph node status, 80% vs. 67% for tumor grade, 77% vs. 64% for tumor size, 82% vs. 70% for ER status, 78% vs. 66% for PR status, 83% vs. 78% for HER2 status, 77% vs. 65% for Ki67 status, and 66% vs. 48% for molecular subtypes. The gene discussed is MKI67; the disease is neoplasm.