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News/Challenges in the calibration of tree-based models for imbalanced classification
arxiv
PublishedJune 2, 2026 at 4:00 AM

Challenges in the calibration of tree-based models for imbalanced classification

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arXiv:2412.16209v5 Announce Type: replace Abstract: When using machine learning for imbalanced binary classification problems, it is common to subsample the majority class to create a (more) balanced training dataset. This biases the model's predictions because the model learns from data that is not

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