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. 2021 Oct 16;2021:7822119. doi: 10.1155/2021/7822119

Table 6.

Predictive value of the logistic model for high ovarian response.

Variables	Data set
Variables	Training set	Testing set
AUC (95% CI)	0.958 (0.936-0.981)	0.950 (0.918-0.983)
Accuracy (95% CI)	0.914 (0.884-0.944)	0.875 (0.821-0.929)
Sensitivity (95% CI)	0.916 (0.874-0.958)	0.875 (0.799-0.951)
Specificity (95% CI)	0.911 (0.868-0.954)	0.875 (0.799-0.951)
PPV (95% CI)	0.911 (0.868-0.954)	0.875 (0.799-0.951)
NPV (95% CI)	0.917 (0.875-0.958)	0.875 (0.799-0.951)

AUC: area under the curve; PPV: positive predictive value; NPV: negative predictive value; CI: confidence interval.