Balancing methods increase predictive multiplicity on imbalanced datasets, while filtering effects are inconsistent and largely non-significant in the authors' own tests.
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Investigating the Impact of Balancing, Filtering, and Complexity on Predictive Multiplicity: A Data-Centric Perspective
Balancing methods increase predictive multiplicity on imbalanced datasets, while filtering effects are inconsistent and largely non-significant in the authors' own tests.