Chain Graph Explanation of Neural Network Based on Feature-Level Class Confusion
Despite increasing interest in developing interpretable machine learning methods, most recent studies have provided explanations only for single instances, require additional datasets, and are sensitive to hyperparameters. This paper proposes a confusion graph that reveals model weaknesses by constr...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/3/1523 |