Fig. 6From: Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application studyAUC performance comparison among XGBoost, CART, and LR on single-embryo transfer (SET) pregnancy, double-embryo transfer (DET) pregnancy, and DET twin risk prediction. ****P < 0.0001Back to article page