Machine learning model for prediction of low anterior resection syndrome following laparoscopic anterior resection of rectal cancer: A multicenter study

Table 2 Performance of the random forest model in the testing and external validation sets

Indicator (95%CI)	RF
	Testing set, n = 291	Validation set, n = 197
Sensitivity	0.843 (0.755-0.905)	0.795 (0.681-0.877)
Specificity	0.757 (0.688-0.815)	0.758 (0.671-0.828)
PPV	0.652 (0.563-0.731)	0.659 (0.549-0.755)
NPV	0.899 (0.839-0.940)	0.862 (0.780-0.918)
Accuracy	0.787 (0.736-0.830)	0.772 (0.708-0.825)
Brier score	0.152	0.166

CI: Confidence interval; NPV: Negative predictive value; PPV: Positive predictive value; RF: Random forest.