# Performance settings

Here, you can select and configure the performance metrics you want to monitor. The metrics will either be calculated and/or estimated depending on the selected performance types. Calculating metrics and thus measuring realized performance is only possible if targets are supplied.

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To estimate or calculate business value, a cost/benefit has to be assigned to each component of the confusion matrix. For example, a true positive prediction earns X, and a false positive prediction costs Y.

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NannyML automatically extracts thresholds based on the supplied reference data, but it is possible to configure a custom threshold here. By default, the thresholds are applied across all segments unless specified otherwise.

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There are two types of threshold constants and standard deviation-based thresholds:

<figure><img src="https://content.gitbook.com/content/KQb5UiQca9y5CPVJ4aR8/blobs/bVKinl5y8iM8L6HYxR9k/Screenshot%202024-07-10%20at%2015.54.50.png" alt=""><figcaption></figcaption></figure>