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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