Hello community,
Do I understand correctly that Random Forests are trained as a 1 vs rest when
the target has more than 2 classes? Say the target takes values 0, 1 and 2,
then the model would train 3 estimators 1 per class under the hood?.
The predict_proba output is an array with 3 columns, containing the probability
of each class. If it is 1 vs rest. am I correct to assume that the sum of the
probabilities for the 3 classes should not necessarily add up to 1? are they
normalized? how is it done so that they do add up to 1?
Thank you
Sole
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