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Building accurate classifiers for predicting group membership is made difficult when using data that is skewed or imbalanced which is typical of real world data sets. The classifier has a tendency to be biased towards the over represented or majority group as a result. Re-sampling techniques offer simple approaches that can be used to minimize the effect. Over-sampling methods aim to combat class...
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