The best classification performances were obtained by RF classifier; specifically, when it trained on the three features identified as the most informative by SVM technique (i.e. Carcinoma In Situ associated with invasive component, ki67, and ER) the model reached an AUC value of 90.36 ± 0.21%, an accuracy of 77.05 ± 0.94%, a sensitivity of 94.15 ± 1.59%, and a specificity of 71.74 ± 1.70%. The gene discussed is ESR1; the disease is carcinoma.