On Sat, 25 Sep 2004, Theodore Heise wrote:
> I've been pointing sa-learn at Pine mail folders now for over two
> years, and just ignoring the fact it's learning from the Pine folder
> header. I don't expect to actually get any e-mail resembling it.
> During this time Bayes has always worked very effectively for me.
Well, it occurred to me I could investigate this situation a little
bit more objectively using "spamassassin -t" (test mode).
I typically keep all my Pine mail folders in /home/theo/mail/, with
tagged spam directed to ~/mail/spam. To train my Bayes, I point
sa-learn at the spam folder, move all tagged spam to an archive
file, and then learn ~/mail/* as spam. This means the Pine spam
folder header gets looked at first as spam, and then as ham.
I tested the spam folder message after learning as spam, and then
after learning as ham. I also tested the Pine message heading up
the ~/mail/sent folder. All three messages hit on the same rules
and gave the same total score (quoted below). Interestingly, the
actual BAYES_00 score was different for the ~/mail/spam folder
learned as spam, as compared to learned as ham (0.0012 vs. 0.0000).
The difference doesn't seem to be worth the trouble to bother with.
Ted
--
Theodore (Ted) Heise <[EMAIL PROTECTED]> Bloomington, IN, USA
[~/mail/spam] Pine header message learned as spam
Content analysis details: (-5.1 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
0.7 SUBJ_ALL_CAPS Subject is all capitals
-3.3 ALL_TRUSTED Did not pass through any untrusted hosts
0.1 MISSING_HEADERS Missing To: header
-2.6 BAYES_00 BODY: Bayesian spam probability is 0 to 1%
[score: 0.0012]
[~/mail/spam] Pine header message learned as ham
Content analysis details: (-5.1 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
0.7 SUBJ_ALL_CAPS Subject is all capitals
-3.3 ALL_TRUSTED Did not pass through any untrusted hosts
0.1 MISSING_HEADERS Missing To: header
-2.6 BAYES_00 BODY: Bayesian spam probability is 0 to 1%
[score: 0.0000]
[~/mail/sent] Pine header message learned as ham
Content analysis details: (-5.1 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
0.7 SUBJ_ALL_CAPS Subject is all capitals
-3.3 ALL_TRUSTED Did not pass through any untrusted hosts
0.1 MISSING_HEADERS Missing To: header
-2.6 BAYES_00 BODY: Bayesian spam probability is 0 to 1%
[score: 0.0000]
