> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fingerprint.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Understanding Fraud Score

The **Fraud Score** section of the Dashboard is where you train and manage your Fraud Score models. Fraud Score trains machine learning models on events you label as fraud or non-fraud, and returns a prediction for each label on your future events.

In the Dashboard, you can:

* [Create labels](https://docs.fingerprint.com/docs/fraud-score-labeling.md) for the fraud types you want to detect
* [Label events](https://docs.fingerprint.com/docs/fraud-score-labeling.md#label-events) by uploading a CSV file, in bulk from the events table, or one by one
* [Check the health](https://docs.fingerprint.com/docs/fraud-score-dataset.md) of your training data
* [Choose how strict each model should be](https://docs.fingerprint.com/docs/fraud-score-models.md#choose-a-threshold), then review and approve new model versions
* [See Fraud Score predictions](#view-fraud-score-predictions) on your identification events

## Availability

The **Fraud Score** section is available to workspaces with Fraud Score enabled. To enable Fraud Score for your workspace, [contact your account team](https://fingerprint.com/support/).

What you can do depends on your [role and permissions](https://docs.fingerprint.com/docs/roles-permissions.md):

| Permission | What you can do |
| - | - |
| View analytics | Open the Fraud Score section, view models, datasets, and predictions |
| Edit analytics | Upload labels, label events, create and manage labels, change thresholds, and approve or discard model versions |

## View Fraud Score predictions

Once a [model](https://docs.fingerprint.com/docs/fraud-score-models.md) is active, its predictions appear on your identification events:

* **Event details**: the **Fraud Score** card shows each label's model version, prediction (**Detected** or **Not detected**), ML score from 0 to 1, and threshold. A label is detected when its ML score reaches the threshold.
* **Events table**: the **Fraud Score** column shows the labels detected for each event. The column is hidden by default. Turn it on in the column selector.

The same predictions are available in the `labels` field of the [Server API](https://docs.fingerprint.com/reference/server-api-get-event.md) event response.

### Use predictions responsibly

A Fraud Score prediction is not a confirmed outcome, and models can flag legitimate users. Use predictions as one input to your fraud decisions. For decisions that significantly affect a user, such as closing an account, review the event before you act.