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.
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