Development and validation of prognostic models for colon cancer incorporating extramural vascular invasion assessed by contrast-enhanced computed tomography

Figure 5 Construction and evaluation of different machine-learning models. A: The performance comparison of the five machine learning models on the training and test set was presented using radar plots; B: Receiver operating characteristic used to evaluate the CoxBoost model; C: Calibration curve of the CoxBoost model on the train set; D: Decision curve of the CoxBoost model on the train set. ACC: Accuracy; AUC: Area under the receiver operating characteristic curve; DFS: Disease-free survival; GBM: Gradient boosting machine; LASSO: Least absolute shrinkage and selection operator; Pre: Precision; ROC: Receiver operating characteristic; RSF: Random survival forest.