Vector space classification methods often fail when applied to problem sets consisting of just nominal feature sets. In light of everything you've heard, what are your feelings on the statement? How would you use machine learning to classify nominal data? Please respond in fully to the questions that have been posed.

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Q: For problem sets with just nominal feature sets, vector space classification algorithms often fail.…

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Q: When the problem set solely comprises nominal qualities, vector space-based classification…

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