Preoperative accurate assessment of lymph node (LN) status in rectal cancer is essential for precise individualized decision-making. Nevertheless, preoperative LN staging in rectal cancer remains a challenge for the radiologist. Therefore, we develop and validate a radiomics prediction model based on MRI for the preoperative individualized prediction of LN metastasis. The Ridge Classifier is found to give the best prediction accuracy score(73.9%).The mean specificity, sensitivity and F1 score are 84.6%, 60% and 66.4 % , respectively. So, radiomics features from MRI of rectal cancer is a useful tool for predicting LN metastasis preoperatively and has marked discrimination accuracy.