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Multi-dimensional ability diagnosis for machine learning algorithms

delete2024-12-13
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PRE
AI
Q
Qi Liu
Z
Zheng Gong
黄
黄振亚 (Zhenya Huang)
C
Chuanren Liu
H
Hengshu Zhu
Z
Zhi Li
陈
陈恩红 (Enhong Chen) *
Hui Xiong 封面图
Hui Xiong (Hui Xiong)
DOI:10.1007/s11432-023-4239-4delete
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摘要

摘要

En 中文
We have proposed the cognitive diagnostic framework Camilla and a multi-dimensional metric Ability for providing both interpretable and reliable assessment of machine learning algorithms. To the best of our knowledge, this is the first comprehensive attempt for measuring the multifaceted strength of each machine learning algorithm by exploring the connections between the research on psychometric theories and machine learning evaluation.

期刊

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Science China Information Sciences
IF:
7.6
论文数:
4.9K
被引数:
8.9K

机构

U
university of science & technology of china, cas
学者数:
3.2W
论文数: 2.7W
被引数: 74
U
University of Tennessee Knoxville
学者数:
1.1W
论文数: 9.4K
被引数: 17
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University of Tennessee System
学者数:
2.9W
论文数: 2.7W
被引数: 115
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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引用论文

引用论文

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Understanding and improving fairness in cognitive diagnosis
err2024-04-25
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PREAI
errZhang, Zheng; Wu, Le; Liu, Qi; Liu, Jiayu; Huang, Zhenya; Yin, Yu; Zhuang, Yan; Gao, Weibo; Chen, Enhong
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