Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology

Figure 7 The changes in various predictive metrics for the extreme gradient boosting model when using different numbers of variables. It was observed that the model achieved an optimal area under the curve with just four variables. XGB: Extreme gradient boosting; AUC: Area under the curve; PPV: Positive predictive value; NPV: Negative predictive value.