Machine learning-based identification of biochemical markers to predict hepatic steatosis in patients at high metabolic risk

Figure 4 Cross-validation receiver operating characteristic curve. The receiver operating characteristic curves for XGBoost model evaluated through five-fold cross-validation. The X-axis represents the false positive rate, and the Y-axis represents the true positive rate. Area under the curve is a measure of the model's overall performance, with higher values indicating better discrimination.