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Updated: Jul 24, 2025

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窗口SHAP:一个有效的框架来解释基于Shapley值的时间序列分类器

Amin Nayebi1, Sindhu Tipirneni2, Chandan K Reddy2

  • 1Department of Systems and Industrial Engineering, University of Arizona, AZ, USA.

Journal of biomedical informatics
|July 6, 2023
PubMed
概括

WindowSHAP为解释时间序列机器学习模型提供了一个新的框架,提高了临床应用的计算效率和解释质量. 这种方法通过在时间序列数据上使用Shapley值来增强对复杂预测的理解.

关键词:
可解释的人工智能模型解释模型解释沙普利的价值是什么意思时间序列数据数据时间序列数据.

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