TABLE 2.

Model performance of the XGBoost algorithm in predicting post stroke depression disorder.

	30 days	90 days	180 days	365 days
Specificity	0.91 (0.90–0.91)	0.88 (0.88–0.88)	0.86 (0.85–0.86)	0.83 (0.82–0.83)
Sensitivity	0.30 (0.28–0.32)	0.36 (0.35–0.38)	0.38 (0.37–0.40)	0.48 (0.47–0.48)
Accuracy	0.90 (0.89–0.90)	0.87 (0.87–0.87)	0.85 (0.84–0.85)	0.81 (0.81–0.82)
AUC-ROC	0.64 (0.63–0.64)	0.67 (0.67–0.68)	0.68 (0.67–0.69)	0.71 (0.71–0.72)

AUC-ROC, area under the curve of receiver operator characteristic; XGBoost, extreme gradient boosting.