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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>Perturbation Analysis - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="znhxZk4yH3"&gt;&lt;a href="https://glosarix.com/en/glossary/perturbation-analysis-en/"&gt;Perturbation Analysis&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/perturbation-analysis-en/embed/#?secret=znhxZk4yH3" width="600" height="338" title="&#x201C;Perturbation Analysis&#x201D; &#x2014; Glosarix" data-secret="znhxZk4yH3" 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: Perturbation Analysis is a technique in explainable artificial intelligence, used to evaluate the stability and robustness of machine learning models. It involves introducing small variations in the input data to observe how these alterations affect the model&#x2019;s predictions. This methodology allows researchers to identify the model&#x2019;s sensitivity to changes in data, which is crucial [&hellip;]</description></oembed>
