Stocks and P-R-O-F-I-T

[Matt Kettler]

Max Kipness wrote:
> Hello,
> 
> I had recently tried what I thought was a good technique, and created a
> script that fed all email from every MailScanner white listed email
> address into sa-learn as ham nightly, without doing a check on the
> emails. This was obviously a bad choice as jokes and other spam like
> emails must have processed for months.
> 
> Anyway, I scrapped the bayes database and started from scratch using the
> a sample bayes db from FSL (I think it's called). From there I've been
> feeding quite a bit of spam into sa-learn for about a week or two. I'd
> say I've fed about 400 spam mails thus far. However, as of today I'm
> still getting the p-r-o-f-i-t and stock spasm with bayes scores of
> anywhere from 10% to 50%.

My question is what kind of stock spams are they?

Are they image based, or text based?

If it's image, bayes won't help you much, as bayes doesn't understand images.

> My question is how long or how many emails should it take bayes to
> figure out these spam emails? Is there a way of viewing the progress?
> With the other scores from DCC, Pyzor, Razor, the score is close to
> being tagged as spam, but sometimes it's not quite there because of the
> bayes score.

for image spams, try adding the SARE stocks ruleset.