ML internals: Synthetic Minority Oversampling (SMOTE) Technique
Domino Data Lab
MAY 20, 2021
This renders measures like classification accuracy meaningless. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. The use of multiple measurements in taxonomic problems. Chawla et al. Indeed, in the original paper Chawla et al. Machine Learning, 57–78. Quinlan, J.
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