> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.umnai.com/concepts/explanation-concepts/global-explanations/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.umnai.com/_mcp/server.

# Global explanations

## Docs

- [Global explanations](https://docs.umnai.com/concepts/explanation-concepts/global-explanations/overview.md): Understand model behaviour across a dataset or segment.
- [Dataset](https://docs.umnai.com/concepts/explanation-concepts/global-explanations/dataset.md): Understand the dataset concepts used in global explanations.
- [Module and feature importance](https://docs.umnai.com/concepts/explanation-concepts/global-explanations/module-and-feature-importance.md): Understand which modules, features, and interactions matter most across a dataset.
- [Module dependency plot](https://docs.umnai.com/concepts/explanation-concepts/global-explanations/module-dependency-plot.md): Understand how a module's attribution changes across its input space.
- [Strengths and weaknesses](https://docs.umnai.com/concepts/explanation-concepts/global-explanations/strengths-and-weaknesses.md): Understand model confidence through strength and uncertainty.