Comparison and development of machine learning for thalidomide-induced peripheral neuropathy prediction of refractory Crohn’s disease in Chinese population

Figure 5 Evaluation of the predictive models. Average area under the receiver operating characteristic curve and precision recall curve of the five models in the training set. A: Receiver operating characteristic curve (training set); B: Precision-recall curve (training set). Average area and 95% confidence intervals of different predictive models are displayed in the box. XGBoost: Extreme gradient boosting; ET: Extremely random trees; GBDT: Gradient boosting decision tree; LR: Logistic regression; RF, random forest; CI: Confidence interval.