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

Table 4.

Performances of pN1&N2 lymph node metastasis prediction models.

Model	AUC^a			AP^b
	Mean	SD	95% CI	Mean	SD	95% CI
LR^c	0.740	0.035	0.714-0.766	0.467	0.058	0.423-0.510
L2-LR^d	0.736	0.044	0.704-0.769	0.465	0.058	0.422-0.509
ANN^e	0.734	0.047	0.698-0.770	0.479	0.087	0.413-0.545
SVM^f	0.735	0.023	0.717-0.752	0.474	0.047	0.439-0.509
LGBM^g	0.768	0.030	0.745-0.791	0.524	0.044	0.491-0.557
RF^h	0.771	0.026	0.752-0.791	0.524	0.057	0.481-0.567

^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.