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It makes a binary split on one of the attributes. It's considered as weak learner“ because it can only produce a tree with one level as One Rule.
The boosting algorithm AdaBoostM1 utilizes it by default as its base learner.
It makes a binary split on one of the attributes. It's considered as weak learner“ because it can only produce a tree with one level as One Rule.
The boosting algorithm AdaBoostM1 utilizes it by default as its base learner.