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propose a different strategy where the minority class is over-sampled by generating synthetic examples. The class imbalance problem: Significance and strategies. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. In their 2002 paper Chawla et al. link] Fisher, R. Quinlan, J.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

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