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

Figure 6 Validation of the training set. The picture shows average area under the receiver operating characteristic curve and precision recall curve of the five models in the test set. A: Receiver operating characteristic curve (testing set); B: Precision-recall curve (testing set). AUC: Area under the curve; CI: Confidence interval; XGBoost: Extreme gradient boosting; ET: Extremely random trees; GBDT: Gradient boosting decision tree; LR: Logistic regression; RF: Random forest; CI: Confidence interval.