I am kinda stumped at a certain problem that I am currently having.
So lets say I have 2 different types of categorical data which labels
Normal State and
Anomalous State. Both data contains continuous data that are from 500 to 800kg.
What happens if the data from
Normal State is extremely similar, if not identical to the
Anomalous State? Does that mean that my training data is bad and I should just ignore it?