Fig. 5 | Scientific Reports

Fig. 5

From: Machine learning prediction of preterm birth in women under 35 using routine biomarkers in a retrospective cohort study

Fig. 5

External Validation of XGBoost Model. (A) ROC curve for the external validation set: The ROC curve for the XGBoost model on the external validation set, with an AUC of 0.91 (95% CI: 0.889-0.931). (B) Test Set Decision Curve: The calibration curve showing consistency between predicted probabilities and actual incidence for the external validation set. (C) Calibration plots for the external validation set: The calibration curve showing consistency between predicted probabilities and actual incidence for the external validation set.

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