# Export model insights

> Export model insights - Review examples for exporting a variety of DataRobot model insights and
> performance metrics as both machine-readable files and plots in multiple formats.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-01T23:10:47.742896+00:00` (UTC).

## Primary page

- [Export model insights](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-eval-metrics/viz-output.html): Full documentation for this topic (HTML).

## Related documentation

- [Developer documentation](https://docs.datarobot.com/en/docs/api/index.html): Linked from this page.
- [Developer learning](https://docs.datarobot.com/en/docs/api/dev-learning/index.html): Linked from this page.
- [AI accelerators](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/index.html): Linked from this page.
- [Model evaluation and metrics](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-eval-metrics/index.html): Linked from this page.

## Documentation content

# Export model insights

[Access this AI accelerator on GitHub](https://github.com/datarobot-community/ai-accelerators/blob/main/advanced_ml_and_api_approaches/Viz%20Output/Viz%20Output.ipynb)

This accelerator presents some examples for taking a DataRobot project and exporting its model insights as both machine-readable files and plots in various file formats. It will demonstrate how to use the Python API client to:

- Securely connect to DataRobot.
- Get data.
- Start a DataRobot binary classification project.
- Retrieve and evaluate model performance and insights.
- Package up insights and output them in various file formats.