Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China

Table 2 The performance metrics of three machine learning models

	Accuracy	Precision	Recall	F1 score	AUC
XGBoost	0.941	0.603	0.429	0.501	0.862
SVM	0.946	0.707	0.371	0.487	0.849
LightGBM	0.944	0.670	0.378	0.483	0.867

XGBoost: Extreme gradient boosting; SVM: Support vector machine; LightGBM: Light gradient boosting machine; AUC: Area under the curve.