For the complete documentation index, see llms.txt. This page is also available as Markdown.

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.

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.

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.

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