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ADASYN: Adaptive Synthetic Sampling Approach for ...
(1) Sampling strategies. This method aims to develop var-ious oversampling and/or undersampling techniques to com-pensate for imbalanced distributions in the original data sets. For instance, in [12] the cost curves technique was used to study the interaction of both oversampling and undersampling with decision tree based learning algorithms.
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