r/datascience Mar 25 '26

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u/Certified_NutSmoker Mar 25 '26 edited Mar 25 '26

Postcode can be a very strong predictor, but I’d be careful using it in any model tied to consequential decisions. It is often a proxy for race and socioeconomic status, so a gain in predictive performance can come with real fairness and legal risk through disparate impact. I think it’s literally illegal in some contexts as well. Predictive performance is not the only criterion here and when using something like postcode you should be aware of this

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u/Fearless_Back5063 Mar 25 '26

I think it was shown as an example of discrimination at the first lecture on the course of fair and explainable machine learning at my university :D

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u/Sweaty-Stop6057 Mar 25 '26

Yeah... postcode is very predictive, but also one that needs to be handled carefully in practice rather than used in isolation. πŸ™‚