Fig. 2From: Application and interpretation of machine learning models in predicting the risk of severe obstructive sleep apnea in adultsTen-fold cross-validation of six ML models on the training groupAUC, area under the receiver operating characteristic curve; AdaBoost, adaptive boosting; LR, logistic regression; Bagging, bootstrapped aggregating; MLP, multilayer perceptron; GBM, gradient boosting machine; and XGBoost, extreme gradient boostBack to article page