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In a classification problem, it is often important to specify the cost or benefit associated with correct or incorrect classifications. Doing so can be valuable when the cost of different misclassification varies significantly.
You can create a cost matrix to bias the model to minimize cost or maximize benefit. The cost/benefit matrix is taken into consideration when the model is scored.
For more information, see