# 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.

<figure><img src="/files/1wUEXZWTGRp85jMsaZhg" alt=""><figcaption></figcaption></figure>

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.

<figure><img src="/files/oTp4qJ0ZwTED2DZaU32M" alt=""><figcaption></figcaption></figure>

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.

<figure><img src="/files/CgT4aqFWzh8AoJvi6nVZ" alt=""><figcaption></figcaption></figure>

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

<figure><img src="/files/8N22JnEE9iTnZsk6d560" alt=""><figcaption></figcaption></figure>


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