ML internals: Synthetic Minority Oversampling (SMOTE) Technique
Domino Data Lab
MAY 20, 2021
Machine Learning algorithms often need to handle highly-imbalanced datasets. Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. In their 2002 paper Chawla et al. Generation of artificial examples. return synthetic. Chawla et al.,
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