At 07:27 AM 2/26/2004, G. Roderick Singleton wrote:
Within the past few days, someone published that he had put together files that could be used with sa-learn.

Any Bayesian classifier will be most effective when trained on the spam/non-spam you actually receive. Using someone else's mail will always be less accurate than using your own.


Just save your own spam and non-spam collections to a pair of mbox folders and run sa-learn <mode> --mbox on each.


Kelson Vibber
SpeedGate Communications <www.speed.net>



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