In other rectal cancer‐related studies, the SVM model also achieved the best predictive efficacy, such as in the prediction of KRAS mutations48 and pathological features49; however, there are also reports related to the superiority of the RF30, 50, 51, 52 and Bayes53 classifiers over SVM models in predicting different endpoints. The gene discussed is KRAS; the disease is rectal cancer.