# ROC Curve tools

> ROC Curve tools - The ROC Curve tools help you explore classification, performance, and statistics
> related to a selected model at any point on the probability scale.

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 `2026-04-24T16:03:56.586426+00:00` (UTC).

## Primary page

- [ROC Curve tools](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/index.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.
- [Model insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/index.html): Linked from this page.
- [Evaluate](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/index.html): Linked from this page.
- [Use the ROC Curve tools](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/roc-curve-tab-use.html): Linked from this page.
- [Select data and display threshold](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/threshold.html): Linked from this page.
- [Confusion matrix](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/confusion-matrix-classic.html): Linked from this page.
- [Prediction Distribution graph](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/pred-dist-graph.html): Linked from this page.
- [ROC curve](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/roc-curve-classic.html): Linked from this page.
- [Profit curve](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/profit-curve-classic.html): Linked from this page.
- [Cumulative charts](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/cumulative-charts-classic.html): Linked from this page.
- [Custom charts](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/custom-charts.html): Linked from this page.
- [Metrics](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/metrics-classic.html): Linked from this page.

## Documentation content

# ROC Curve tools

The ROC Curve tab provides tools for exploring classification, performance, and statistics related to a selected model at any point on the probability scale. The following topics show how to use these tools:

| Topic | Description |
| --- | --- |
| Use the ROC Curve tools | Accessing the ROC Curve tab and understanding its components. |
| Select data and display threshold | Setting the data source and display threshold used for ROC Curve visualizations. |
| Confusion matrix | Using a confusion matrix to evaluate model accuracy by comparing actual versus predicted values. |
| Prediction Distribution graph | Viewing the distribution of actual values in relation to the display threshold. |
| ROC curve | Using a ROC curve to view a plot of the true positive rate against the false positive rate for given data source. |
| Profit curve | Generating a profit curve to estimate the business impact of a selected model. |
| Cumulative charts | Generating charts to help assess a model's cumulative characteristics. |
| Custom charts | Generating your own charts to explore classification, performance, and statistics for a model. |
| Metrics | Viewing statistics that describe model performance at the selected display threshold. |