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	<title>Comments on: QotD: SpamAssassin Rating</title>
	<atom:link href="http://nslog.com/2006/11/03/qotd_spamassassin_rating/feed" rel="self" type="application/rss+xml" />
	<link>http://nslog.com/2006/11/03/qotd_spamassassin_rating</link>
	<description>The Weblog of Erik J. Barzeski</description>
	<pubDate>Wed, 03 Dec 2008 22:48:46 +0000</pubDate>
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		<title>By: Antony Shen</title>
		<link>http://nslog.com/2006/11/03/qotd_spamassassin_rating#comment-23124</link>
		<dc:creator>Antony Shen</dc:creator>
		<pubDate>Tue, 14 Nov 2006 21:56:45 +0000</pubDate>
		<guid isPermaLink="false">http://nslog.com/2006/11/03/qotd_spamassassin_rating/#comment-23124</guid>
		<description>I used the default 5 for junk, and 6 for automatically deleting. I am sick handling all those spam.</description>
		<content:encoded><![CDATA[<p>I used the default 5 for junk, and 6 for automatically deleting. I am sick handling all those spam.</p>
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		<title>By: Nancy McGough</title>
		<link>http://nslog.com/2006/11/03/qotd_spamassassin_rating#comment-21861</link>
		<dc:creator>Nancy McGough</dc:creator>
		<pubDate>Wed, 08 Nov 2006 17:46:07 +0000</pubDate>
		<guid isPermaLink="false">http://nslog.com/2006/11/03/qotd_spamassassin_rating/#comment-21861</guid>
		<description>My answer to this QotD is in my blog here:

 &lt;a href="http://deflexion.com/2006/01/using-maybespam-mailbox"&gt;Using a MaybeSpam Mailbox&lt;/a&gt;

I put non-list messages with a score of 2 or more in my "MaybeSpam" mailbox and then "greenlist" false positives. I put all my spam-fighting energy into keeping my greenlist up-to-date and so far, it's working well for me. Details are in the blog item.

BTW, nice blog!</description>
		<content:encoded><![CDATA[<p>My answer to this QotD is in my blog here:</p>
<p> <a href="http://deflexion.com/2006/01/using-maybespam-mailbox">Using a MaybeSpam Mailbox</a></p>
<p>I put non-list messages with a score of 2 or more in my "MaybeSpam" mailbox and then "greenlist" false positives. I put all my spam-fighting energy into keeping my greenlist up-to-date and so far, it's working well for me. Details are in the blog item.</p>
<p>BTW, nice blog!</p>
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		<title>By: Ludovic Hirlimann</title>
		<link>http://nslog.com/2006/11/03/qotd_spamassassin_rating#comment-21099</link>
		<dc:creator>Ludovic Hirlimann</dc:creator>
		<pubDate>Sun, 05 Nov 2006 15:16:48 +0000</pubDate>
		<guid isPermaLink="false">http://nslog.com/2006/11/03/qotd_spamassassin_rating/#comment-21099</guid>
		<description>Do they also offer SPF or Domainkeys ? Because I do believe that both of these solution should be implemented where they can. SPf is on my plate should implement that in a few weeks.</description>
		<content:encoded><![CDATA[<p>Do they also offer SPF or Domainkeys ? Because I do believe that both of these solution should be implemented where they can. SPf is on my plate should implement that in a few weeks.</p>
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		<title>By: PatrickQG</title>
		<link>http://nslog.com/2006/11/03/qotd_spamassassin_rating#comment-20735</link>
		<dc:creator>PatrickQG</dc:creator>
		<pubDate>Fri, 03 Nov 2006 16:23:33 +0000</pubDate>
		<guid isPermaLink="false">http://nslog.com/2006/11/03/qotd_spamassassin_rating/#comment-20735</guid>
		<description>I had two levels: 5 for moving to Junk, 10 for /dev/null. Though this was after I'd trained it a lot (using the bayesian stuff). I then (really) upped the weightings of the 60%+ certainties, such that if something scored 99% bayesian certainty it was instantly going to /dev/null. 

(Before setting 10 to /dev/null I had it going to a separate "Really Junk" folder for about a month with 0 false positives.)

With that setup I had maybe 1 or 2 spam reach my inbox every 3-4 days, around 5-10 actual spam in the Junk, and maybe 1 false positive end up in the Junk folder (which was then really easy to spot, and most of the time that was actually Mail that decided - wrongly - it was spam). According to my stats ~140 day were ending up in /dev/null.</description>
		<content:encoded><![CDATA[<p>I had two levels: 5 for moving to Junk, 10 for /dev/null. Though this was after I'd trained it a lot (using the bayesian stuff). I then (really) upped the weightings of the 60%+ certainties, such that if something scored 99% bayesian certainty it was instantly going to /dev/null. </p>
<p>(Before setting 10 to /dev/null I had it going to a separate "Really Junk" folder for about a month with 0 false positives.)</p>
<p>With that setup I had maybe 1 or 2 spam reach my inbox every 3-4 days, around 5-10 actual spam in the Junk, and maybe 1 false positive end up in the Junk folder (which was then really easy to spot, and most of the time that was actually Mail that decided - wrongly - it was spam). According to my stats ~140 day were ending up in /dev/null.</p>
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