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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Hlavní autoři: Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2023-08-01
Edice:Information
Témata:
interpretability
explainable AI
evaluating interpretability
On-line přístup:https://www.mdpi.com/2078-2489/14/8/469

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https://www.mdpi.com/2078-2489/14/8/469

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