# Feature Effects

> Feature Effects - Feature Effects (with partial dependence) conveys how changes to the value of each
> feature change model predictions.

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 `2026-10-09T14:05:25.053185+00:00` (UTC).

## Primary page

- [Feature Effects](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/feature-effects.html.md): Full documentation for this topic (Markdown sidecar).

## Sections on this page

- [Next steps](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/feature-effects.html.md#next-steps): In-page section heading.

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html.md): Linked from this page.
- [Workbench](https://docs.datarobot.com/en/docs/workbench/build-workbench/index.html.md): Linked from this page.
- [Predictive experiments](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/index.html.md): Linked from this page.
- [Evaluate models](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/index.html.md): Linked from this page.
- [Feature Effects](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/feature-effects-classic.html.md): Linked from this page.
- [Feature Impact](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/feature-impact.html.md): Linked from this page.
- [Individual Prediction Explanations](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/shap-predex.html.md): Linked from this page.
- [Coefficients](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/coefficients.html.md): Linked from this page.

## Documentation content

| Tab | Description |
| --- | --- |
| Explanation | Shows the effect of changes in the value of each feature on model predictions. |

[Feature Effects](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/feature-effects-classic.html.md) answers the question—how does a model "understand" the relationship between each feature and the target? It is an on-demand feature, dependent on the [Feature Impact](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/feature-effects.html.md#feature-impact) calculation, which is prompted for when first opening the visualization. The insight is communicated in terms of [partial dependence](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/feature-effects-classic.html.md#partial-dependence-logic), an illustration of how changing a feature's value, while keeping all other features as they were, impacts a model's predictions.

## Next steps

Pair Feature Effects with these related insights to build a fuller picture of how the model uses its features.

- Feature Impact : See the high-level ranking of which features most strongly drive model decisions, the calculation Feature Effects depends on.
- Individual Prediction Explanations : Drill into row-by-row detail on how much each feature contributes to a single prediction.
- Coefficients : Review the positive or negative impact of variables on a linear model's predictions.