Can someone please explain why the decision boundary differs between multinomial (softmax) and One-vs-Rest Logistic Regression for multiclass classification. Example shown below


I was under the wrong impression that both would yield the same decision boundary and it was just that the probabilities that softmax gives are normalized and interpretable.


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