# Model insights

> Model insights - Information to help you easily navigate the process of building, understanding, and
> analyzing models.

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 `2026-04-24T16:03:56.285147+00:00` (UTC).

## Primary page

- [Model insights](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/insights/index.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.
- [Python API client user guide](https://docs.datarobot.com/en/docs/api/dev-learning/python/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/index.html): Linked from this page.
- [Prediction explanations](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/insights/prediction_explanations.html): Linked from this page.
- [SHAP insights](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/insights/shap_insights.html): Linked from this page.
- [Model performance insights](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/insights/model_performance_insights.html): Linked from this page.
- [Automated documentation](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/insights/automated_documentation.html): Linked from this page.
- [External testset](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/insights/external_testset.html): Linked from this page.
- [Rating table](https://docs.datarobot.com/en/docs/api/dev-learning/python/modeling/insights/rating_table.html): Linked from this page.

## Documentation content

# Model insights

The Modeling section provides information to help you easily navigate the process of building, understanding, and analyzing models.

| Resource | Description |
| --- | --- |
| Prediction explanations | Retrieve prediction explanations for DataRobot models. |
| SHAP insights | Use SHAP (SHapley Additive exPlanations) insights for explaining model predictions. |
| Model performance insights | Compute and retrieve ROC curves, lift charts, and residuals for DataRobot models. |
| Automated documentation | Generate and manage automated documentation for DataRobot models and projects. |
| External testset | Test models with external datasets to evaluate performance and compute metric scores. |
| Rating table | DWownload and upload rating tables for Generalized Additive Models. |