I’m playing around with the anomaly detection learning block, and I’m curious what the “anomaly score” refers to. The couple of times I’ve worked with anomaly detection, this is usually a distance measurement from the sample’s features to the center of the training set cluster.
In testing, I get negative values for the anomaly score. What does this mean? If it’s a distance measurement, do I just need to take the absolute value and compare it to the threshold (e.g. default of 0.3)? Or is it some other kind of measurement where -0.3 is really below the threshold of 0.3?
I checked the docs, and I didn’t see any reference to this. Perhaps I missed something, though.