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It would be very nice to have an option to compute permutation variable importance for groups of variables (instead of single variables), i.e. to have an insight on how selected variables altogether influence the prediction, as it was for instance proposed in this package : https://rdrr.io/cran/RFgroove/man/varImpGroup.html based on this paper : https://hal.inria.fr/hal-01084301v2/document
thanks for your very useful package :)
The text was updated successfully, but these errors were encountered:
ptaconet
changed the title
Add option to compute grouped variable importance
Proposition for new feature : Add option to compute grouped variable importance
Feb 25, 2021
Not sure I am expert enough to elaborate on this... :S there seem to have tools existing to quantify the importance of interaction effects, e.g. Friedman's H-statistic
It would be very nice to have an option to compute permutation variable importance for groups of variables (instead of single variables), i.e. to have an insight on how selected variables altogether influence the prediction, as it was for instance proposed in this package : https://rdrr.io/cran/RFgroove/man/varImpGroup.html based on this paper : https://hal.inria.fr/hal-01084301v2/document
thanks for your very useful package :)
The text was updated successfully, but these errors were encountered: