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Table 3 Comparison of prediction results of three ensemble learning models

From: Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation

Ensemble learning model

Accuracy

Sensitivity

Specificity

Positive predictive value

Negative predictive value

F1 score

AUROC

Bagging

0.89

0.82

0.96

0.9535

0.8421

0.8972

0.8850

AdaBoost

0.88

0.82

0.94

0.9318

0.8393

0.8868

0.8837

Stacking

0.92

0.88

0.96

0.9565

0.8889

0.9231

0.9110