# ROC Curve tools
URL: https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/index.html

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

# 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. |

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