ObsidianVault/Wiki/Machine Learning/Imbalanced Data.md

#machine_learning

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Methods

Undersampling

Undersampling is one of the easiest ways to deal with imbalanced data. The idea is that you remove samples from the majority class at random until the two classes have an equal number of instances. This approach is simple and comes with the advantage that no synthetic data ne

Oversampling