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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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MAY 20, 2021

Their tests are performed using C4.5-generated note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Data mining for direct marketing: Problems and solutions. Chawla et al., Pima Indian Diabetes (Smith et al., 1988), E-state data (Hall et al.,

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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