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We present a method for the filteriNg of ovErsampled dAta using non-cooperaTive gamE theoRy (NEATER) to address the imbalanced data problem using game theory. Specifically, the problem is formulated as a non-cooperative game where all the data are players and the goal is to uniformly and consistently label all of the synthetic data created by any oversampling technique. We present extensive experimental results which demonstrate the advantages of our method.

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