Assume That We Are Training A Boosting Classifier Using #256

Assume that we are training a boosting classifier using decision stumps on the given dataset. Then which of the given examples will have their weights increased at the end of the first iteration?<br /> <img src="@root_url/public/uploads/org/vu/mcqs/42943-image-title.png">

This multiple choice question (MCQ) is related to the book/course gs gs126 Neural Networks. It can also be found in gs gs126 Ensemble Learning - Boosting Weak Learnability - Quiz No.1.

Assume that we are training a boosting classifier using decision stumps on the given dataset. Then which of the given examples will have their weights increased at the end of the first iteration?

Circle

Square

Both

No increment in weight