Error Metrics

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Glossary

Erreur Absolue Moyenne (MAE)

L'Erreur Absolue Moyenne (MAE) est une métrique fondamentale en apprentissage automatique pour évaluer les modèles de régression. Elle mesure l'amplitude moyenne des erreurs dans les prédictions, offrant une manière simple et interprétable d'évaluer la précision d'un modèle sans tenir compte de la direction de l'erreur.

MAE Regression Machine Learning +2
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