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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Gradient Boosted Trees - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="0aRu1ISH3S"&gt;&lt;a href="https://glosarix.com/en/glossary/gradient-boosted-trees-en/"&gt;Gradient Boosted Trees&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/gradient-boosted-trees-en/embed/#?secret=0aRu1ISH3S" width="600" height="338" title="&#x201C;Gradient Boosted Trees&#x201D; &#x2014; Glosarix" data-secret="0aRu1ISH3S" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Gradient boosting trees are an ensemble learning technique that builds models in a staged manner using decision trees as base learners. This methodology is based on the idea that predictions can be improved by successively adding new trees that correct the errors of previous trees. Each tree is trained to predict the residuals, i.e., [&hellip;]</description></oembed>
