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. 2021 Nov 17;9(11):e32662. doi: 10.2196/32662

Table 1.

Evaluation by area under the receiver operating characteristic score of 5-fold cross-validation for each model.


LRa SVMb RFc MLPd XGBe Support (0, 1)
Fold 1 0.826 0.825 0.853 0.833 0.866 f (83,113, 50,188)
Fold 2 0.827 0.826 0.851 0.835 0.868 (83,538, 50,310)
Fold 3 0.824 0.824 0.850 0.821 0.865 (84,192, 50,585)
Fold 4 0.824 0.823 0.850 0.831 0.864 (83,969, 50,460)
Fold 5 0.822 0.821 0.848 0.834 0.863 (82,918, 50,394)
Value, mean (SD) 0.824 (0.002) 0.824 (0.002) 0.850 (0.002) 0.831 (0.005) 0.865 (0.002) N/Ag

aLR: logistic regression.

bSVM: support vector machine.

cRF: random forest.

dMLP: multilayer perceptron.

eXGB: extreme gradient boosting.

fThe italicized values indicate the highest score of each fold.

gN/A: not applicable.