Figure 1

The performance of the five best models. (A) The ROC curves of the five best models. (B) The precision-recall curves of the five best models. (C) The calibration curves of the five best models. (D) Decision curve analysis of the models. SMOTE synthetic minority oversampling technique, BOR boruta screening, MLP multiple-layer perceptron, BSMOTE borderline synthetic minority oversampling technique, SGD stochastic gradient descent, LA lasso screening, LR logistic regression, XGB extreme gradient boosting, CB category boosting, AUC area under the curve, AUPRC area under the precision-recall curve.