# Unlock Holdout

> Unlock Holdout - Holdout, the portion of your data DataRobot reserves when building models, provides
> an evaluation metric that measures a model's accuracy against the unseen data to validate model
> quality.

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 `2026-04-24T16:03:56.600064+00:00` (UTC).

## Primary page

- [Unlock Holdout](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/build-basic/unlocking-holdout.html): Full documentation for this topic (HTML).

## Related documentation

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page.
- [Build models](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/index.html): Linked from this page.
- [Build models](https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/build-basic/index.html): Linked from this page.
- [holdout partition](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/data-partitioning.html): Linked from this page.
- [recommended and prepared for deployment](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-rec-process.html): Linked from this page.
- [Lift Chart](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/lift-chart-classic.html): Linked from this page.

## Documentation content

# Unlock Holdout

The Holdout column displays an evaluation metric that measures a model's accuracy against unseen ("new") data. Holdout is calculated using the trained model's predictions on the [holdout partition](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/data-partitioning.html). DataRobot reserves a portion of your data to use as holdout (20% by default); it does not train models using this data but instead validates the quality of your models once they have been trained.

> [!TIP] Tip
> You should only unlock your holdout data after having made all your model-related decisions.Once your project's holdout has been unlocked, it cannot be re-locked.

> [!NOTE] Note
> If you run full or Quick Autopilot and DataRobot returns a model [recommended and prepared for deployment](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/model-rec-process.html), the specifics described below work slightly differently.

To display a specific model's Holdout score:

1. ClickUnlock project Holdout for all modelson the rightmost panel.
2. Confirm your decision by clickingUnlock holdout.

When you unlock holdout, the label on the project menu changes to Holdout is unlocked and a value displays in the Holdout column.

Once you have unlocked the holdout data, view the Leaderboard scores on the test data. Then, look at the [Lift Chart](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/lift-chart-classic.html). Alternate the Data Source dropdown between Validation and Holdout to determine the accuracy of the model's predictions.