Construct · 1 fields · 1 citations

class imbalance: a standalone construct

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Machine learning

datasets in which some classes have far fewer examples than others, biasing standard learners toward the majority class.

In machine learning, class imbalance refers to datasets in which some classes have far fewer examples than others, biasing standard learners toward the majority class. This meaning comes from He (2009) in IEEE Transactions on Knowledge and Data Engineering.[1]

Unit
Recovery means
Measured by

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Nearby constructs

balanced accuracy1 fields · 1 citationsanchor · a standalone construct class3 fields · 3 citationsjingle · one word, three constructs focal loss1 fields · 1 citationsanchor · a standalone construct

References

He, H., & Garcia, E. A. (2009). Learning from Imbalanced Data. IEEE Transactions on Knowledge and Data Engineering, 21(9), 1263-1284. https://doi.org/10.1109/tkde.2008.239

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