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. 2023 Mar 21;7:e44666. doi: 10.2196/44666

Table 2.

Comparison of the prediction ability of the extreme gradient boost (XGBoost model), HOPE6, TALK, and physicians’ assessment on the test set.

	Sensitivity (95% CI)	Specificity (95% CI)	PPV^a (95% CI)	NPV^b (95% CI)	PLR^c (95% CI)	NLR^d (95% CI)
XGBoost	0.93 (0.81-0.99)	0.79 (0.73-0.85)	0.49 (0.38-0.60)	0.98 (0.95-1.00)	4.47 (3.38-5.93)	0.09 (0.03-0.26)
HOPE6	1.00 (0.92-1.00)	0.00 (0.00-0.02)	0.18 (0.13-0.23)	—^e	1.00 (1.00-1.00)	—
TALK	1.00 (0.92-1.00)	0.07 (0.04-0.11)	0.19 (0.14-0.24)	1.00 (0.77-1.00)	1.07 (1.03-1.12)	—
Physicians’ assessment	0.86 (0.72-0.95)	0.66 (0.59-0.73)	0.35 (0.26-0.45)	0.96 (0.91-0.98)	2.56 (2.04-3.21)	0.21 (0.10-0.44)

^aPPV: positive predictive value.

^bNPV: negative predictive value.

^cPLR: positive likelihood ratio.

^dNLR: negative likelihood ratio.

^eNot available.