[email protected] @IanOzsvald[.com]
London Python 2018-01
Explaining the regression
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ELI5 & LIME can explain single examples
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Expensive house – many rooms, low LSTAT %, good
pupil/teacher ratio
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Cheap house – high LSTAT %, few rooms, maybe high nitric
oxide pollution and lower pupil/teacher ratio
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These interpretations are different to the global feature
importances
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Also see Kat Jarmul’s keynote @ PyDataWarsaw 2017:
https://blog.kjamistan.com/towards-interpretable-reliable-models
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Michał Łopuszyński @ PyDataWarsaw
https://www.slideshare.net/lopusz/debugging-machinelearning