1.0Glosarixhttps://glosarix.com/en/Team Glosarixhttps://glosarix.com/en/author/adm_glosarix/Mean Absolute Error - Glosarixrich600338<blockquote class="wp-embedded-content" data-secret="POCn2qGZCx"><a href="https://glosarix.com/en/glossary/mean-absolute-error-en/">Mean Absolute Error</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/mean-absolute-error-en/embed/#?secret=POCn2qGZCx" width="600" height="338" title="“Mean Absolute Error” — Glosarix" data-secret="POCn2qGZCx" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script>
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Description: Mean Absolute Error (MAE) is a statistical metric used to evaluate the accuracy of a predictive model. It is calculated as the average of the absolute differences between the values predicted by the model and the actual observed values. This metric is particularly useful in the context of machine learning and hyperparameter optimization, as […]