What kind of model to use if the dataset are too similar?

by Axois   Last Updated July 12, 2019 07:19 AM

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?



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