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Unbalanced data is data that has a very different proportion of target outputs. A typical case is information on fraudulent cases. Frauds are very rare in the available data, but it is of the utmost importance to predict them correctly, as they can lead to great damage. Upsampling of minority classes is one method that can lead to better prediction.