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Predictive performance (AUCs) of 8 models as number of variables increases. AdaBoost, adaptive boosting; ANN, artificial neural network; DT, decision tree; GBDT, gradient boosting decision tree; LR, logistic regression; MNB, multinomial naïve Bayes; RFC, random forest classifier; XGBoost, extreme gradient boosting.
