ML internals: Synthetic Minority Oversampling (SMOTE) Technique
Domino Data Lab
MAY 20, 2021
Machine Learning algorithms often need to handle highly-imbalanced datasets. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78. Chawla et al.
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