Re: Clarification on MultiClassClassifier

If you use RandomForest without wrapping it into MultiClassClassifier (or
some other binary decomposition method such as END), you will get a
multi-class random forest that estimates multi-class probabilities
directly. In recent versions of WEKA, there is actually an option in
RandomForest that enables you to output the trees of the learned forest.
You can inspect the trees to verify this.

Cheers,
Eibe

On Wed, Jun 9, 2021 at 12:23 AM <[email protected]> wrote:

> But what happens if I use a RandomForest classifier WITHOUT
> MultiClassClassifier toning? Will it be still binary?
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