Also, Bayes doesn't process images. As you state in your first email, the rest of the e-mail changes constantly. That way, Bayes can't recognize it.<br><div class="gmail_extra"><br><br><div class="gmail_quote">On 15 November 2012 22:17, Scott Silva <span dir="ltr"><<a href="mailto:ssilva@sgvwater.com" target="_blank">ssilva@sgvwater.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">on 11/15/2012 11:49 AM Max Kipness spake the following:<br>
<div class="im">>> Get the full spam email with all the headers in a text format pref before mailscanner has seen it, then goto <a href="http://pastebin.org" target="_blank">pastebin.org</a> and drop it to that . The send the link here<br>
><br>
>> We can then copy the email to our systems and see what rules hit on our systems to see if any of our setups do a better job<br>
><br>
> Ok, I'll see what I can do. In order to get a copy before it hits MailScanner I would have to use MailScanner archiving?<br>
><br>
> Also, what are your thoughts on bayes being at 50% for a lot of spam? Would it be best to start over with the bayes database? It would seem that by having auto-learning turned on, and a few spam messages get through, this could create a domino effect as more and more is learned as non-spam when it actually is spam. I continue to send tons of the same type of spam through for learning, but I will then see the same type come through with 50%. By starting over and feeding 1000k + of legitimate spam, would that clean the bayes scoring up?<br>
><br>
> Thanks.<br>
><br>
</div>Autolearn is not very good. I turned it off long ago. Do you do bayes<br>
maintenance? Like sa-learn --force-expire...<br>
<div class="HOEnZb"><div class="h5"><br>
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