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tdzark wrote:I've changed the settings to tihs:
Embed $dnsbllist "end"
dnsbl.sorbs.net,30,0
dnsbl.njabl.org,30,0
list.dsbl.org,30,0
bl.spamcop.net,50,0
sbl-xbl.spamhaus.org,30,0
end
...since I use strict bayesian. I guess I need higher values then.
tdzark wrote:When it runs, I get the error box: non-integer assigned to integer value.
tdzark wrote:I've tried to remove blank spaces after the numbers just in case and can't see what's not strictly integers in there... also I've set the wait time to 1 since I got a lot of emails each day and have a very fast connection.
tdzark wrote:My filters: First I sort my emails into their appropriate folders, and then at the bottom pocomail bayesian junk is run, and at the bottom the DNSBL script is run. Is this the best way?
tdzark wrote:And is there somewhere I should use the stop processing function?
tdzark wrote:The success of the bayesian was horrible so I installed it over again, turned off non-bayesian, set it to strict and then started teaching it with only new messages (there's plenty of spam to learn from there....).
It started on 90% and have only decreased, 90% seems way too huge a number anyway, I just dl 60 emails and 20 of them where incorrectly in my in box. And they where the simplest spam messages with porn, viagra, rolex etc in text.
What's wrong here?
26.418 bad words, 5.019 good.
5% of incoming (153) filtered as junk, 88,66% accuracy (346 missed) and 1,97% false positive (60 missed).
Since reinstall I've received arond 1300 emails all in all. I don't figure out the number above, feel my result is much worse.
Please give some guidance!
TJ
tdzark wrote:But why is it you recommend the spam filters to be on top? My other filter only deals with mail I 100% certain wants to get. I just sort them into folders based on email addresses, this is just as sure as checking against the addressbook, like you do.
tdzark wrote:Now the junk filter then the DNSBL filter have to work through all these emails. Wouldn't it be better to first grab the email I'm sure I want to have, and then afterwards run the junk filter on the rest?
Or would this be affecting the learning of the bayesian filter?
tdzark wrote:Actually I'm not sure how this learning works - I know I can teach it bad words by marking emails as junk, but when is it that the bayesian learns good words? Does it automatically count words as good as long as they're not marked as bad? And if so, will it do so for all my emails or only those that the junk filter runs on? In the latter case I guess this learning will be affected if I move the bayesian to the bottom.
tdzark wrote:If this is the case though, as it is now the DNSBL runs after the junk filter, so then the junk filter will not be able to use the result from the DNSBL filter, right?
So if you drag the message in or out of the junk mail folder, if you click on the "File as Junk"/"Classify as Good" buttons or if you click on the Junk/Good buttons in the Junk Mail Filtering window then it will learn the message and update the good/bad words and the scores
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