Scikit-learn classifier with custom scorer dependent on a training feature
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Chapters
00:00 Question
02:50 Accepted answer (Score 0)
03:09 Thank you
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Full question
https://stackoverflow.com/questions/4924...
Question links:
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[image]: https://i.stack.imgur.com/3pQC8.jpg
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Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
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Tags
#python #machinelearning #scikitlearn #classification #gridsearch
#avk47
--
Music by Eric Matyas
https://www.soundimage.org
Track title: Secret Catacombs
--
Chapters
00:00 Question
02:50 Accepted answer (Score 0)
03:09 Thank you
--
Full question
https://stackoverflow.com/questions/4924...
Question links:
[image]: https://i.stack.imgur.com/uFP38.jpg
[image]: https://i.stack.imgur.com/3pQC8.jpg
[image]: https://i.stack.imgur.com/Qq3D0.jpg
--
Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...
--
Tags
#python #machinelearning #scikitlearn #classification #gridsearch
#avk47
ACCEPTED ANSWER
Score 0
You can do something like this (note you have given no real code so this is barebones)
X = [...]
y = [...]
def custom_scorer_function(y, y_pred, **kwargs):
a_feature = X[:,1]
# now have y, y_pred and the feature you want
custom_scorer = make_scorer(custom_scorer_function, greater_is_better=True)
...