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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