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	<title>Comments on: ISC on the Future of Anti-Virus Protection</title>
	<link>http://blog.markus-breitenbach.com/2008/08/01/isc-on-the-future-of-anti-virus-protection/</link>
	<description>AI, Data Mining, Machine Learning and other things</description>
	<pubDate>Sun, 20 May 2012 11:53:00 +0000</pubDate>
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		<title>By: Markus</title>
		<link>http://blog.markus-breitenbach.com/2008/08/01/isc-on-the-future-of-anti-virus-protection/#comment-9569</link>
		<author>Markus</author>
		<pubDate>Wed, 06 Aug 2008 04:11:21 +0000</pubDate>
		<guid>http://blog.markus-breitenbach.com/2008/08/01/isc-on-the-future-of-anti-virus-protection/#comment-9569</guid>
		<description>Yes, in my opinion using the AUC for ill-balanced datasets represents the true performance the best. It summarizes it all in one number - how do you decide which model is better when comparing 2x2 matrices?

A nice summary into all sorts of measures (AUC, Brier scores etc.) and how to determine how well a model actually works can be found here: http://www.bom.gov.au/bmrc/wefor/staff/eee/verif/verif_web_page.html#Methods%20for%20dichotomous%20forecasts</description>
		<content:encoded><![CDATA[<p>Yes, in my opinion using the AUC for ill-balanced datasets represents the true performance the best. It summarizes it all in one number - how do you decide which model is better when comparing 2&#215;2 matrices?</p>
<p>A nice summary into all sorts of measures (AUC, Brier scores etc.) and how to determine how well a model actually works can be found here: <a href="http://www.bom.gov.au/bmrc/wefor/staff/eee/verif/verif_web_page.html#Methods%20for%20dichotomous%20forecasts" rel="nofollow">http://www.bom.gov.au/bmrc/wefor/staff/eee/verif/verif_web_page.html#Methods%20for%20dichotomous%20forecasts</a></p>
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	<item>
		<title>By: RB</title>
		<link>http://blog.markus-breitenbach.com/2008/08/01/isc-on-the-future-of-anti-virus-protection/#comment-9550</link>
		<author>RB</author>
		<pubDate>Tue, 05 Aug 2008 09:08:04 +0000</pubDate>
		<guid>http://blog.markus-breitenbach.com/2008/08/01/isc-on-the-future-of-anti-virus-protection/#comment-9550</guid>
		<description>As an aside: Would you be suggesting AUC for evaluating performance on ill-balanced testsets in general? How does this information differ from the common 2x2 matrix of classified vs true labels?</description>
		<content:encoded><![CDATA[<p>As an aside: Would you be suggesting AUC for evaluating performance on ill-balanced testsets in general? How does this information differ from the common 2&#215;2 matrix of classified vs true labels?</p>
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