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ADASYN is a Python module that implements an adaptive oversampling technique for imbalanced datasets by creating synthetic minority class examples. It focuses on generating artificial data for harder-to-classify instances and supports multiclass classification, often outperforming methods like SMOTE.
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Sources
arxiv.org shapes more of what AI says about ADASYN than any other source, at 17% of its citations.
lyzr.ai · mdpi.com · medium.com · sciencedirect.com