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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>Ternary Classification - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="hPb2hxhkqq"&gt;&lt;a href="https://glosarix.com/en/glossary/ternary-classification-en/"&gt;Ternary Classification&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/ternary-classification-en/embed/#?secret=hPb2hxhkqq" width="600" height="338" title="&#x201C;Ternary Classification&#x201D; &#x2014; Glosarix" data-secret="hPb2hxhkqq" 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: Ternary classification is a machine learning task where instances are categorized into three distinct classes. This approach is used to solve problems where data can be classified into three mutually exclusive groups. Unlike binary classification, which only considers two categories, ternary classification allows for greater complexity in data representation. The main characteristics of this [&hellip;]</description></oembed>
