# Custom lift charts

> Custom lift charts - Leverage popular Python packages with DataRobot's Python client to recreate and
> augment DataRobot's lift chart visualization.

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 `2026-05-06T18:17:09.580639+00:00` (UTC).

## Primary page

- [Custom lift charts](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-building-tuning/custom-lift-chart.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 building and fine-tuning](https://docs.datarobot.com/en/docs/api/dev-learning/accelerators/model-building-tuning/index.html): Linked from this page.

## Documentation content

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

Ever wanted to plot more than 60 bins in DataRobot's lift chart?

Ever needed to present this graphic with a specific color palette?

Ever required to display more information in the chart due to regulatory reasons?

In this AI Accelerator, leverage popular Python packages with DataRobot's Python client to recreate and augment DataRobot's lift chart visualization. These customizations allow you to:

- Plot more than 60 bins in DataRobot's lift chart.
- Present this lift chart visualizations with a specific color palette.
- Display more information in the chart.

The steps demonstrated in the accompanying notebook are:

1. Connect to DataRobot
2. Create a DataRobot project
3. Run a single blueprint from the repository
4. Obtain predictions and actuals
5. Recreate DataRobot’s lift chart
6. Add customization to the lift chart