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Article: Data Mining Misconceptions - The 50/50 Problem

When creating a predictive model, data miners need to “tune” it to make the right kind of mistakes.  Setting the cut-off point between ‘promising’ and ‘unpromising’ depends a lot on our client’s biggest concern -- missed opportunities or false alarms.

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