I have data set of 5566 samples - one column is the text of the recipe description and the other is what tax class is it.
I wish to make a classifier that would classify receipts using ML only.
What is a good method to do when dealing with this kind of data?
How to downsample or upsample? from what I understood SMOT will not work.