FW: spam scores being neutralized by bayes

Your point below was always my issue with Bayes. The whole "you just need to train it" argument might be fine for users of this list, but the customers running these products are comparing them to everything else on the market, which "just works".

Given I pretty much never saw Bayes trained correctly, I've only ever seen bayes fall into these categories: Spam flagged as spam that would have been captured by other rules anyway, spam that would have been flagged and quarantined if not for an incorrect negative bayes score, and mail flagged as spam by Bayes that was a false positive. In short, I disabled bayes on all my environments.

-----Original Message-----
From: Maia-users [mailto:[email protected]] On Behalf Of Jason Street
Sent: Wednesday, 8 July 2015 9:13 PM
To: Blake Hudson
Cc: [email protected]
Subject: Re: [Maia-users] spam scores being neutralized by bayes

On 2015-07-07 15:23, Blake Hudson wrote:
> Jason, it sounds like your Bayes database has learned SPAM. This could 
> be from incorrect user reports (messages were reported as NOT SPAM 
> when they were SPAM) or from auto learning.

Potentially but the users are pretty hands off and ignore their cache contents in the web interface, except for checking the spam cache for anything valid caught.

For the most occasion "non-spam cache" is ignored and left to be auto cleared.

> My suggestion is to turn off auto learning (bayes_auto_learn 0 in
> local.cf) and use Maia's digest function to confirm HAM/SPAM daily in 
> order to train bayes. To help speed up the learning you may want to 
> clear out your current bayes db. You can do this with the 
> maiadbtool.pl script and the --clear-bayes option.

Forgive me ignorance  but how do I do the digest function you suggest?

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