At Fri Nov 14 23:03:42 2003, Alan Munday wrote:
> 
> Having just read the FAQ's can I just check the requirements for the
> source SPAM/HAM mail for sa-learn?
> 
> Do the contents of the sources messages need to be false positives
> for the HAM file and false negatives for the SPAM file?

No.  To work well, sa-learn needs a good representative sample of all
your spam and ham, not just those that are FP/FNs.  You do need to be
careful, particularly in the early days of using Bayes, that you
correct any erroneous auto-learning of messages (i.e. where a spam
message is auto-learned as ham, and vice versa), by using sa-learn to
learn those messages with the correct type.

> I can see that I'll be able to assemble 200 false negatives easily, however
> I get very few false positives.
> 
> Once you make it over the 200 limit will Bayesian filtering activate for
> testing e.g. false negatives before enough false positives have been
> learned?

Bayes won't start working until it has learned 200 hams and 200
spams. 

Martin
-- 
Martin Radford              |   "Only wimps use tape backup: _real_ 
[EMAIL PROTECTED] | men just upload their important stuff  -o)
Registered Linux user #9257 |  on ftp and let the rest of the world  /\\
- see http://counter.li.org |       mirror it ;)"  - Linus Torvalds _\_V


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