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...

Полное описание

Библиографические подробности
Главные авторы:	Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam
Формат:	Статья
Язык:	English
Опубликовано:	MDPI AG 2023-08-01
Серии:	Information
Предметы:	interpretability explainable AI evaluating interpretability
Online-ссылка:	https://www.mdpi.com/2078-2489/14/8/469

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