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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Bibliografski detalji
Glavni autori: Nourah Alangari, Mohamed El Bachir Menai, Hassan Mathkour, Ibrahim Almosallam
Format: Članak
Jezik:English
Izdano: MDPI AG 2023-08-01
Serija:Information
Teme:
interpretability
explainable AI
evaluating interpretability
Online pristup:https://www.mdpi.com/2078-2489/14/8/469

Internet

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

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