Error Metrics

Browse all content tagged with Error Metrics

Glossary

Mean Absolute Error (MAE)

Mean Absolute Error (MAE) is a fundamental metric in machine learning for evaluating regression models. It measures the average magnitude of errors in predictions, providing a straightforward and interpretable way to assess model accuracy without considering error direction.

MAE Regression Machine Learning +2
• 6 min read

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