Mean Absolute Error (MAE): Revision history

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20 March 2023

  • curprev 11:4111:41, 20 March 2023‎ Walle talk contribs‎ 2,953 bytes +2,953‎ Created page with "{{see also|Machine learning terms}} ==Mean Absolute Error (MAE)== The '''Mean Absolute Error (MAE)''' is a widely used metric in Machine Learning and Statistics to evaluate the performance of a predictive model. It measures the average magnitude of errors between the predicted and actual values, without considering the direction of the errors. MAE is a popular choice for regression tasks as it provides an easily interpretable representation of the model's error...."
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