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How to deal with over fitting in feature importance?

This story is from 2026-09-05. It is preserved in the archive; the latest stories are on the live feed.

I'm doing feature importance and the features that allow it to "cheat" often rank high in feature importance. For example, date of birth usually ranks very high because it allows it remember exact patterns for each person, which don't translate to unseen data. In this case, I could remove the featu…

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  1. 2026-09-05 09:38 · r/learnmachinelearning
    How to deal with over fitting in feature importance?

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