Published in matho.philica.com
It is possible to integrate over nuisance variables n:
Integral p(loan, n | input) dn =
Integral p(loan | n, input) p(n | input) dn
And it is possible to model machine learning by modelling them as probability distributions. For example, in case of gender one can create specific models for each gender and calculate:
p(loan | input) =
p(loan | M, input) p(M | input) + p(loan | F, input) p(F | input)
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This Observation was published on 12th October, 2016 at 17:58:14 and has been viewed 1315 times.
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The full citation for this Observation is:|
Ukkonen, T. (2016). How to prevent discrimination of machine learning models against variables such as age or gender etc. ?. PHILICA.COM Observation number 135.