Steve Lamb wrote:
That case is where one's person's interests (and thus what they
consider ham) coincides with the spam that another person (or all
people since spam is pretty universal) gets. So which of these
fields regularly has spam which would use it's keywords: Programmer
Web Designer Audiologist Landscape Architect
To be honest I just can't remember the last time I got spam offering
me hot Programmer tips, how to get the most outta my stereos, whether
astroturf or natural was better. The closest I can come with the
above list is that there are times I get spam for OEM software which
includes Dreamweaver. So if your Web Designer uses Dreamweaver you
might have one term in there that gets wonky.
Yeah, OEM software spam was what I was thinking of. I get a ton of that
in my quarantine folder (and much more rejected outright). Yet I've
never gotten a false negative or a false positive on a message
discussing such software that I could attribute to a wonky bayes score.
FYI, your message was scored as:
1.0 SARE_OEM_SOFT_IS BODY: Software that is OEM
-4.0 BAYES_00 BODY: Bayesian spam probability is 0 to 1%
On the other hand, a random actual OEM spam from my rejectlog scored
(among many other spamassin rules hits):
4.0 BAYES_99 BODY: Bayesian spam probability is 99 to 100%
0.8 SARE_OEM_PRODS_1 SARE_OEM_PRODS_1
0.9 SARE_OEM_PRODS_FEW SARE_OEM_PRODS_FEW
0.9 SARE_PRODUCTS_03 SARE_PRODUCTS_03
0.4 SARE_PRODUCTS_02 SARE_PRODUCTS_02
So my bayes db seems to do just fine, in spite of the confusion about
OEM software. Sure, it's weakened on the actual software keywords, but
there appear to be more than enough other recognizable tokens to
differentiate the spam from the ham that it doesn't matter.
- Marc
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