3 ms·
I use random forests as a first model for basically everything classification or regression. This looks incredibly useful for understanding samples of individu
by kbrkbr 2y ago
I use random forests as a first model for basically everything classification or regression.
This looks incredibly useful for understanding samples of individual trees, for which I use the nice but limited inbuilt tree object in sklearn.
Thank you!
- pplonski86 2y agoThank you! Tree based algorithms work very good on tabular data. There is a lack for good tools to visualise trees and make them readable. That's why we created supertree.