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sebffischer avatar sebffischer commented on July 28, 2024

I suggest using this dataset (5000 obs, 1k features)

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mllg avatar mllg commented on July 28, 2024

Are you suggesting it because of its dimension or because filtering works pretty well on it?

What about spam in mlr3?

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pat-s avatar pat-s commented on July 28, 2024

spam would also work I'd say. In the end the question is what the use case should show:

  • compare filters against wrappers?
  • compare single filters against ensemble filters?
  • showcase the caching attribute of filters?

None of the above do really depend on the dataset unless you want to find a use case where features outperform wrappers.

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sebffischer avatar sebffischer commented on July 28, 2024

Yes, my idea was because there are so many features.
I would prefer a regression task (because then I can use it for MaRDI), that would make spam less attractive for me.

Are there already benchmark studies on those questions @pat-s ?
In this case we could make a gallery-posts that gives some recommendations on what to do with filters?
I.e. giving the reader the answer to those questions :)

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