Skip to main content
. 2023 Oct 14;23:164. doi: 10.1186/s12894-023-01316-4

Table 2.

Performance comparison between univariate model and XGBoost model

Model Accuracy(%) Sensitivity(%) Specificity(%) AUC (95% CI)
XGBoost 74.09 79.57 71.12 0.82 (0.79–0.82)
f/tPSA 71.82 75.46 67.07 0.75 (0.72–0.76)*
tPSA 64.70 68.33 59.40 0.68 (0.65–0.70)*
fPSA 57.04 60.36 50.00 0.61 (0.58–0.63)*

* The AUC of XGBoost was significantly compared with that of f/tPSA, tPSA and fPSA models (each P<0.001)

f/tPSA free-to-total PSA ratio, tPSA total prostate-specific antigen, fPSA free prostate-specific antigen