[scikit-learn] Opinion on reference mentioning that RF uses weak learners

Fernando Marcos Wittmann fernando.wittmann at gmail.com
Sun Aug 16 14:04:11 EDT 2020


Hello guys,

The the following reference states that Random Forests uses weak learners:
-
https://blog.citizennet.com/blog/2012/11/10/random-forests-ensembles-and-performance-metrics#:~:text=The%20random%20forest%20starts%20with,corresponds%20to%20our%20weak%20learner.&text=Thus%2C%20in%20ensemble%20terms%2C%20the,forest%20is%20a%20strong%20learner

The random forest starts with a standard machine learning technique called
> a “decision tree” which, in ensemble terms, corresponds to our weak learner.

...

 Thus, in ensemble terms, the trees are weak learners and the random forest
> is a strong learner.


I completely disagree with that statement. But I would like the opinion of
the community to double check if I am not missing something.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20200816/13050812/attachment.html>


More information about the scikit-learn mailing list