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Question: When developing an Ada-boost strong classifier we need to search for the best axis-parallel weak classifier for each iteration. For a target problem, the number of dimensions is 5, and the number of training samples is 4500. Calculate the number of weak classifiers to be considered for each iteration during the development.
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