arrow
Return

Multi-dimensional ability diagnosis for machine learning algorithms

delete2024-12-13
delete0
PRE
AI
Q
Qi Liu
Z
Zheng Gong
黄振亚 (Zhenya Huang)
C
Chuanren Liu
H
Hengshu Zhu
Z
Zhi Li
陈恩红 (Enhong Chen) *
H
Hui Xiong
DOI:10.1007/s11432-023-4239-4delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

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.

Journal

Science China Information Sciences cover
Science China Information Sciences
IF:
7.6
Papers:
4.9K
Citations:
8.9K

Organization

U
university of science & technology of china, cas
Scholars:
3.2W
Papers: 2.7W
Citations: 74
U
University of Tennessee Knoxville
Scholars:
1.1W
Papers: 9.4K
Citations: 17
University of Tennessee System cover
University of Tennessee System
Scholars:
2.9W
Papers: 2.6W
Citations: 115
C
chinese academy of sciences
Scholars:
56.1W
Papers: 44.8W
Citations: 704
researcher View more organizations