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Machine learning Adaboost question: Whether the statement below is True or false? please give a reason...

Machine learning Adaboost question:

Whether the statement below is True or false? please give a reason

AdaBoost must give zero training error regardless of the type of weak classifiers it uses, provided enough iterations are performed.

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Answer #1

Ans:- False

If the data in the training set cannot be separated by a linear combination of the specific type of weak classifiers we are using. For example, consider the EXOR example with decision stumps as weak classifiers. No matter how many iterations are performed zero training error will not be achieved


answered by: ANURANJAN SARSAM
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Answer #2

Ans :- False

If the data in the training set cannot be separated by a linear combination of the specific type of weak classifiers we are using. For example consider the EXOR example with decision stumps as weak classifiers. No matter how many iterations are performed zero training error will not be achieved

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