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Class Imbalance: Exploring Undersampling Techniques
Towards Data Science - Medium towardsdatascience.com
Let’s learn about undersampling and how it helps solve class imbalance
We have formally explained earlier the effect of class imbalance and its causes and we also explained several oversampling techniques that get around this issue such as random oversampling, ROSE, RWO, SMOTE, BorderlineSMOTE1, SMOTE-NC, and SMOTE-N. In this story, we will attempt to make a similar tour over undersampling techniques while assuming that it’s obvious how undersampling would help solve the imbalance issue given our earlier explanation.
Undersampling techniques …
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