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. Data Mining Misconceptions #1: The 50/50 Problem This fall will mark my twentieth year as a data mining professional. During that time, I worke…
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