24 lines
636 B
Markdown
24 lines
636 B
Markdown
---
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title: "SHAP Analysis"
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type: concept
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tags: [interpretability, explainability, ml-ops]
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sources: [specialized-model-qa]
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last_updated: 2026-04-20
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---
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## Definition
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SHAP（SHapley Additive exPlanations）是一种基于博弈论的模型可解释性方法，用于分解单个预测中每个特征的贡献。
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## Outputs
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- 全局解释：summary / beeswarm / bar plot
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- 局部解释：waterfall / force plot
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- 交互分析：SHAP interaction values
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## Use in Model QA
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- 解释预测驱动因素
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- 检查特征贡献是否稳定
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- 识别异常依赖或潜在偏差
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## Related Concepts
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- [[Partial Dependence Plots]]
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- [[Model Audit]] |