Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection

Figure 2 Receiver operating characteristic curves of different models across various datasets. A: Training set; B: Validation set; C: Prospective set. LR: Logistic Regression; DT: Decision Trees; RF: Random Forest; SVM: Support Vector Machine; XGBoost: EXtreme Gradient Boosting; AUC: Area under the curve.