On Wed, 9 Apr 2008, Kris Deugau wrote:

John Hardin wrote:
 On Wed, 9 Apr 2008, Kris Deugau wrote:

>  autolearn is picking up ~1.5M+ from ~300K messages on a daily basis.

 Push your autolearn thresholds out to reduce the overall volume of learned
 spam and ham?

I've thought about that. It makes it more difficult to get Bayes data on the critical messages in that middle range though. :(

How varied is the character of your message traffic? Is manual learning an option, especially with larger autolearn thresholds?

Then at least you'd be able to reseed your bayes with a known-good corpus.

--
 John Hardin KA7OHZ                    http://www.impsec.org/~jhardin/
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