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The result of 10-fold cross-validation (training data) and external validation results. (A) Average area under the curve (AUC) values of 10-fold cross-validation. Ridge, ridge regression model; KNN, k-nearest neighbors model; NNet, neural network model; RF, random forest predictive model; SVM, support vector machine; XGB, extreme gradient boosting model. (B) AUCs of external validation sets.
