Exploring Evaluation Methods for Interpretable Machine Learning: A Survey

Exploring Evaluation Methods for Interpretable Machine Learning: A Survey

In recent times, the progress of machine learning has facilitated the development of decision support systems that exhibit predictive accuracy, surpassing human capabilities in certain scenarios. However, this improvement has come at the cost of increased model complexity, rendering them black-box m...

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Autors principals:	Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam
Format:	Article
Idioma:	English
Publicat:	MDPI AG 2023-08-01
Col·lecció:	Information
Matèries:	interpretability explainable AI evaluating interpretability
Accés en línia:	https://www.mdpi.com/2078-2489/14/8/469

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