# Metric Scores

> Metric Scores - Review a model’s performance for all supported metrics.

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 `2026-10-09T14:05:25.055209+00:00` (UTC).

## Primary page

- [Metric Scores](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/metric-scores.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/metric-scores.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.
- [optimization metric reference](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/opt-metric.html.md): Linked from this page.
- [Lift Chart](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/lift-chart.html.md): Linked from this page.
- [ROC Curve](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/roc-curve.html.md): Linked from this page.
- [Residuals](https://docs.datarobot.com/en/docs/workbench/build-workbench/experiments/experiment-insights/residuals.html.md): Linked from this page.

## Documentation content

| Tab | Description |
| --- | --- |
| Performance | Provides a single-view listing all partition scores for all metrics (for the selected model). |

The Metric Scores insight shows a model's score for all supported metrics across all partitions. Click Score to calculate scores for any partition that was not calculated automatically.

See the [optimization metric reference](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/opt-metric.html.md) for information about each metric.

## Next steps

Drill into a specific metric with a visual insight for further analysis.

- Lift Chart : Visualize how well the model segments the target population and predicts across value ranges.
- ROC Curve : For classification models, explore performance and statistics at any point on the probability scale.
- Residuals : For regression models, examine how well predictions scale linearly with actual values.