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A linear discriminant could be used to identify accounts or transactions as likely to have been defrauded. The director of the fraud control operation may want the analysts to focus not simply on the cases most likely to be fraud, but on the cases where the most money is at stake — that is, accounts where the company’s monetary loss is expected to be the highest. For this we need to estimate the actual probability of fraud.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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