# Custom charts
URL: https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/custom-charts.html

> The ROC Curve tab lets you create custom charts that help you explore classification, performance, and statistics related to a selected machine learning model.

# Custom charts

The Chart pane in the [ROC Curve](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/roc-curve-tab/roc-curve-tab-use.html) tab allows you to create your own charts to explore classification, performance, and statistics related to a selected model.

## Create a custom chart

Create a custom chart by selecting values for the X- and Y- axes:

1. In theChartpane, selectCustom Chart.
2. In theX-Axisdropdown list, select the value to display on the X-Axis. Do the same for theY-Axisand clickApply. The custom chart displays in the Chart pane. Hover over the circle on the graph to see the values at the display threshold.

## Data available for custom charts

Click below to view the data available for custom charts.

**X-axis values:**
False Positive Rate (Fallout)
True Positive Rate (Sensitivity)
True Negative Rate (Specificity)
Fraction Predicted as Positive
Fraction Predicted as Negative
Threshold (Probability)

**Y-axis values:**
False Positive Rate (Fallout)
True Positive Rate (Sensitivity)
True Negative Rate (Specificity)
Cumulative List (Positive)
Cumulative List (Negative)
Fraction Predicted as Positive
Fraction Predicted as Negative
Profit (Overall)
Profit (Average)
Threshold (Probability)
F1 Score
Negative Predictive Value
Positive Predictive Value
Accuracy
Matthews Correlation Coefficient

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