How does KNN behave with imbalanced datasets?

Updated May 16, 2026

Short answer

KNN is biased toward majority classes because they dominate neighbor votes.

Deep explanation

In imbalanced datasets, majority class points are more likely to appear in the neighborhood, skewing predictions. This leads to poor minority class recall unless weighting or resampling is applied.

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