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. Author manuscript; available in PMC: 2024 Sep 1.
Published in final edited form as: Am J Obstet Gynecol. 2023 Jun 12;229(3):327.e1–327.e16. doi: 10.1016/j.ajog.2023.06.017

Figure 1: Model confusion matrices.

Figure 1:

Legend: Area under receiver operating characteristic (AUROC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for each model. Models listed are: Random Forests (RF), Decision Trees (DT), Boosted Trees (BT), and Neural Networks (NN). Models listed including pre-viability variables, all-pregnancy variables, Exploratory Factor Analysis (EFA)-derived variables, and pre-viability variables without 2nd trimester serum screening. Asterisk (*) indicates best model for the given set of variables.