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Hello, I am comparing some outlier detectors on purely categorical datasets, but whenever I run OutlierTree on purely categorical datasets it doesn't return any outliers (With some exceptions). Is there any different parameterization that you recommend?
I attached a sample of what I am using to test it, so you can see what I mean.
Cheers and thanks for the help,
ToxicFyre
The text was updated successfully, but these errors were encountered:
ToxicFyre
changed the title
Not detecting outliers on purely categorical datasets
Not detecting any outliers on purely categorical datasets
Apr 2, 2021
Indeed, if you look at the parameters, it has something about minimum sizes of branches to split. Apart from that, categorical outliers are just harder to identify. Ideas for criteria are welcome.
Thank you for your reply. Yes, I noticed that having a few ordinal and numerical columns really helps in this case, to provide additional information. I'll be sure to share any ideas for criteria that I have in the future.
outliertree_test.zip
Hello, I am comparing some outlier detectors on purely categorical datasets, but whenever I run OutlierTree on purely categorical datasets it doesn't return any outliers (With some exceptions). Is there any different parameterization that you recommend?
I attached a sample of what I am using to test it, so you can see what I mean.
Cheers and thanks for the help,
ToxicFyre
The text was updated successfully, but these errors were encountered: