On the training set of hold-out validation sampling, we have found the best prediction model learning to five years follow-up reached an AUC value, accuracy, sensitivity and specificity of 89.14 ± 0.25%, 78.84 ± 1.10%, 86.59 ± 2.03%, and 76.44 ± 0.05%, respectively, with only six features, that is Carcinoma In Situ associated with invasive component, ki67, ER, lymph Nodes stage, Tumor size stage, and histological Grade selected by SVM-RFE technique and RF classifier. The gene discussed is MKI67; the disease is neoplasm.