0 votes
I did Clustering with K-MEANS model and I wish to understand how the variables importance percentages in the histogram are calculated? what does it measure?

Thanks
asked by

1 Answer

+1 vote
Best answer
We fit a simple random forest supervised model to the output classes of the kmeans. This allows us to derive variable importances, as per the random forest standard method (implemented in scikit-learn).
answered by
selected by
I can see a feature with 10%,  another is 5%. What is the meaning of % in variable importances?
We use the definition of variable importance in percentage from the random forest model in scikit-learn.
971 questions
998 answers
1,047 comments
2,361 users

┬ęDataiku 2012-2018 - Privacy Policy