Predicting three-year risk of incident colorectal precancerous conditions using non-invasive predictors and machine-learning algorithms: A multi-center retrospective study

Figure 3 Model performance. A: Receiver operating characteristic curves of different models in the training, internal validation, and external validation cohorts; B: Decision analyses of different models in the training, internal validation, and external validation cohorts. AUC: Area under the receiver operating characteristic; LASSO: Least absolute shrinkage and selection operator; NNET: Neural network; SVM: Support vector machine; XGBOOST: EXtreme Gradient Boosting.