Author

Diyorbek Musaev

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Preprint Aug 2026

When Single-Dataset Conclusions Fail: A 45-Task Study of Threshold Tuning and Resampling for Imbalanced Classification

Class-imbalance handling is routinely evaluated on a single benchmark dataset, and the resulting conclusions are reported as if they were properties of the method, and it is shown this practice is unsafe and, for a well-calibrated ensemble, imbalance handling is unnecessary.

Diyorbek Musaev · 0 citations