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. 2022 Apr 25;10(4):e35475. doi: 10.2196/35475

Table 3.

Performances of pN2 lymph node metastasis prediction models.

Model	AUC^a			AP^b
	Mean	SD	95% CI	Mean	SD	95% CI
LR^c	0.778	0.041	0.747-0.809	0.442	0.075	0.385-0.499
L2-LR^d	0.768	0.038	0.739-0.796	0.413	0.072	0.359-0.467
ANN^e	0.769	0.051	0.730-0.808	0.434	0.095	0.363-0.506
SVM^f	0.771	0.071	0.718-0.825	0.453	0.084	0.389-0.516
RF^g	0.792	0.042	0.760-0.825	0.456	0.075	0.399-0.512
LGBM^h	0.787	0.044	0.755-0.820	0.457	0.101	0.381-0.534

^aAUC: area under the receiver operating characteristic curve.

^bAP: average precision.

^cLR: logistic regression.

^dL2-LR: L2-logistic regression.

^eANN: artificial neural network.

^fSVM: support vector machine.

^gRF: random forest.

^hLGBM: LightGBM.