We also explore raw datasets to identify the seven important features (MLH1, MSH2, MSH6, PMS2, MSI, Age 60, and tumor size) for predicting the recurrence of cancer using one-hot encoding and Fisher’s exact tests. Here, PMS2 is linked to neoplasm.