. Author manuscript; available in PMC: 2022 Jul 13.

Published in final edited form as: Surg Endosc. 2020 Jan 17;35(1):182–191. doi: 10.1007/s00464-020-07378-x

Table 2.

Performance characteristics of the artificial neural network (ANN), gradient boosting machine (XGB), and logistic regression (LR) models for predicting gastrointestinal leak at the 97.5% specificity threshold.

	Sensitivity, median (95% CI)	Specificity, median (95% CI)	PPV, median (95% CI)
Model
ANN	0.493 (0.458 – 0.529)	0.975 (0.974 – 0.976	0.122 (0.114 – 0.131)
XGB	0.24 (0.209 – 0.270)	0.975 (0.974 – 0.976)	0.063 (0.056 – 0.071)
LR	0.134 (0.111 – 0.159)	0.975 (0.974 – 0.976)	0.037 (0.030 – 0.043)