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	<title>Model Performance &#8211; Howard Nguyen</title>
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		<title>The process of feature selection</title>
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		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Mon, 29 Sep 2014 15:14:23 +0000</pubDate>
				<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[Model Performance]]></category>
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					<description><![CDATA[Feature selection is the process of selecting a subset of relevant features for use in model construction. This process helps improve the model's performance by removing irrelevant or redundant features, reducing overfitting, and enhancing model interpretability. ]]></description>
										<content:encoded><![CDATA[<p>Feature selection is the process of selecting a subset of relevant features for use in model construction. This process helps improve the model’s performance by removing irrelevant or redundant features, reducing overfitting, and enhancing model interpretability. Here are the main steps involved in the feature selection process: There are several techniques for feature selection…</p>
<p><a href="https://howardnguyen.com/the-process-of-feature-selection/" rel="nofollow">Source</a></p>]]></content:encoded>
					
		
		
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