A Confusion Matrix for Evaluating Feature Attribution Methods

Anna Arias-Duart; Ettore Mariotti; Dario García-Gasulla; José M. Alonso

doi:10.1109/cvprw59228.2023.00380

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A Confusion Matrix for Evaluating Feature Attribution Methods

Anna Arias-Duart Ettore Mariotti Dario García-Gasulla José M. Alonso

Year: 2023 Pages: 3709-3714

DOI: 10.1109/cvprw59228.2023.00380

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Abstract

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords:

Attribution Computer science Confusion Leverage (statistics) Confusion matrix Artificial intelligence Feature (linguistics) Machine learning Psychology Social psychology

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Explainable Artificial Intelligence (XAI)

Physical Sciences → Computer Science → Artificial Intelligence

Adversarial Robustness in Machine Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A Confusion Matrix for Evaluating Feature Attribution Methods

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