# 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 `2026-04-24T16:03:56.753566+00:00` (UTC).

## Primary page

- [Metric Scores](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/metric-scores.html): Full documentation for this topic (HTML).

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html): Linked from this page.
- [Workbench](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/index.html): Linked from this page.
- [Predictive experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/index.html): Linked from this page.
- [Evaluate models](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/index.html): Linked from this page.
- [optimization metric reference](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/opt-metric.html): Linked from this page.

## Documentation content

# Metric Scores

| 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) for information about each metric.