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	<title>Comments on: Text Classification Threshold Performance Graph</title>
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		<title>By: Thinknook &#124; 10 Ways to Improve your Text Classification Algorithm Accuracy and Performance</title>
		<link>http://thinknook.com/text-classification-threshold-performance-graph-2013-01-20/#comment-1232</link>
		<dc:creator><![CDATA[Thinknook &#124; 10 Ways to Improve your Text Classification Algorithm Accuracy and Performance]]></dc:creator>
		<pubDate>Mon, 21 Jan 2013 16:47:27 +0000</pubDate>
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		<description><![CDATA[[...] If your model can tolerate a reduction in the coverage of what it can classify, you could greatly improve the accuracy of what is being classified by returning &#8220;Class Unknown&#8221;  when the classifier is too uncertain (highest probability is lower than threshold), this can be done by analyzing probability filter threshold against accuracy and coverage. [...]]]></description>
		<content:encoded><![CDATA[<p>[&#8230;] If your model can tolerate a reduction in the coverage of what it can classify, you could greatly improve the accuracy of what is being classified by returning &#8220;Class Unknown&#8221;  when the classifier is too uncertain (highest probability is lower than threshold), this can be done by analyzing probability filter threshold against accuracy and coverage. [&#8230;]</p>
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