Tackling Imbalanced Data in Chronic Obstructive Pulmonary Disease Diagnosis: An Ensemble Learning Approach with Synthetic Data Generation.

As shown in Figure 3 , differences between recall and precision can be observed: except for the test set generated using KDE, which exhibits irregular variation, all other settings show a decreasing trend as the positive–negative ratio becomes more balanced.

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