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	<title>hinge Archives - Petamind</title>
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		<title>squared hinge loss</title>
		<link>https://petaminds.com/squared-hinge-loss/</link>
					<comments>https://petaminds.com/squared-hinge-loss/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Wed, 23 Jun 2021 02:12:24 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[classification]]></category>
		<category><![CDATA[hinge]]></category>
		<category><![CDATA[SQUARED HINGE LOSS]]></category>
		<category><![CDATA[svm]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=2933</guid>

					<description><![CDATA[<p>The squared hinge loss is a loss function used for “maximum margin” binary classification problems. Mathematically it is defined as: where ŷ the predicted value and y is either 1 or -1. Thus, the squared hinge loss is: 0 * when the true and predicted labels are the same and* when ŷ≥ 1 (which is [&#8230;]</p>
<p>The post <a href="https://petaminds.com/squared-hinge-loss/">squared hinge loss</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
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