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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Dettagli Bibliografici
Autori principali:	Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam
Natura:	Articolo
Lingua:	English
Pubblicazione:	MDPI AG 2023-08-01
Serie:	Information
Soggetti:	interpretability explainable AI evaluating interpretability
Accesso online:	https://www.mdpi.com/2078-2489/14/8/469

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