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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. This renders measures like classification accuracy meaningless. The use of multiple measurements in taxonomic problems. The unreasonable effectiveness of data. Machine Learning, 57–78.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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