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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מידע ביבליוגרפי
Main Authors:	Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam
פורמט:	Article
שפה:	English
יצא לאור:	MDPI AG 2023-08-01
סדרה:	Information
נושאים:	interpretability explainable AI evaluating interpretability
גישה מקוונת:	https://www.mdpi.com/2078-2489/14/8/469

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