>Corpus-Norm: 1.04099504248725

this is nearly perfect - it leads in to a corpus confidence of 1.000

>Corrected-NotSpamFiles: 8

this shows that assp had 8 false positives over all the time - where is 
the problem ?

>SpamWords/File: 106
>Hamwords/File: 567

both values are a bit less (I expect : 180 and 650) - you may try to 
increase 'MaxBytes' by 2000 (max 8000 !)
notice: after you changed this value, delete the normfile and run the 
rebuildspamdb twice - ignore the result (rebuildrun.txt) of the first run

>So if I see this correctly it looks at if my database is spam heavy.
Only a little bit (4%) - every value less than 10% is acceptable. Every 
rebuildspamdb task (except the first) will try to get 0% - corpus norm = 
1.000

>I am dealing with false positives correct?
No - not really - because there are too less corrected false positives 
(8)! You may have false positives, but you don't 'deal' with!

Thomas




Von:    Jay <[email protected]>
An:     [email protected]
Datum:  03.09.2015 20:54
Betreff:        Re: [Assp-user] Bayesian settings



So I think I am narrowing down my issue here with ASSP and I am just 
looking for some verification here. So looking at the email interface 
under Rebuild Spamdb I opened up normfile and found some interesting 
information.

Corpus-Norm: 1.04099504248725
Corrected-SpamFiles: 235
Corrected-NotSpamFiles: 8
Spamlog-Files: 15458
NotSpamlog-Files: 2604
SpamWords/File: 106
Hamwords/File: 567
Spamwords: 1952635
Hamwords: 1875739

So if I see this correctly it looks at if my database is spam heavy. So 
in turn this would cause the issue I am dealing with false positives 
correct?

On 9/1/2015 5:39 PM, Jay wrote:
> So I have a question about the settings for 'DoBayesian'. I am still
> having issues where my users are complaining about legitimate emails
> getting blocked. I would analyze some of those emails in the email
> interface mail analyzer and I get the result of spam probability of
> 1.000000. Looking at the word pairs I see a lot of common words in there
> listed as bad word matches. What I did last week was take a previous
> spamdb file we had built before we switched to MySQL as the database
> backend and in had ASSP import that file by using the file extension of
> RPL. That worked fine. I tested 1 email before and after, I got better
> results afterwards.
>
> Before database replace the test email was flagged as spam. After
> database replace the test email was listed as good. So there was a
> definite improvement. There's still a lingering an issue somewhere in
> our database flagging so many emails as spam when they are legitimate.
> My question is this, for the DoBayesian setting what are the
> repercussions of setting this to score? Currently we are set to block,
> which from my understanding will block emails if it is determined to be
> spam. Will scoring do the same after reaching a certain score? I don't
> want to just switch the settings and find that my users are all of the
> sudden getting bombarded with spam. That would just aggravate them and
> not something I want to happen.
>
> Here's the current settings we are running:
>
> Bayesian & HMM Options
>
> DoBayesian = block
> DoHMM  = disabled
> BayesAfterHMM = empty
> BayesWL = off
> BayesNP = off
> BayesLocal = off
> noBayesian = empty
> maxByesValues = 60
> baysProbability = 0.6
> BayesConf = 0
> baysConfidenceHalfScore = on
>
> ASSP Worker/DB/Regex status = healthy
>
>
>
>
>
> 
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