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The difficulty is in the details. Normalizing would have to account for a variety of different variables such as location, average age/customer base, average re
by alecdibble 14y ago
The difficulty is in the details. Normalizing would have to account for a variety of different variables such as location, average age/customer base, average revenue per customer, etc. Furthermore, you would need all of that data many different businesses to even be able to build your normalization.
Sure, you could do a subpar job with the normalization but then that will increase your false positives and decrease confidence in the method.