When you create a classification model, scan responses are related to one of the classes in the data collection. For example, if you scan only hand and desk when creating a model, when testing the model you will always get one of these classes, even if you scan something completely different (for example, orange).
The Outlier Detection feature will produce an additional scan response of ‘null’ for unrecognized materials.
If you activate the Outlier Detection mode before you create a model, when testing your model on unrecognized material the response will be “null”.
To activate Outlier Detection mode:
- Set the expert mode to On (expert mode is set as off by default)
- Click the cog wheel
- In Settings, check the Outlier Detection checkbox