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Table 4 Classification experimental results of different oversampling algorithms

From: Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder

Classifiers

Accuracy

AUC

F1

Precision

Recall

Random oversampling

0.844

0.904

0.759

0.695

0.837

SMOTE

0.846

0.896

0.749

0.719

0.782

Borderline SMOTE

0.836

0.898

0.734

0.702

0.769

SVM SMOTE

0.848

0.904

0.75

0.726

0.776

Modified SMOTE

0.834

0.905

0.758

0.663

0.884