Across 30 imbalanced regression datasets, resampling strategies improve most models, with GN, RO, and WERCS most often best, and no universally dominant strategy.
In: First International Workshop on Learning with Imbalanced Domains: Theory and Applications, vol
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Resampling strategies for imbalanced regression: a survey and empirical analysis
Across 30 imbalanced regression datasets, resampling strategies improve most models, with GN, RO, and WERCS most often best, and no universally dominant strategy.