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: Classification algorithms that are based on vector spaces are not always the ideal option to take…

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Q: For problem sets that are given over strictly nominal feature sets, classification algorithms based…

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Q: ector space-based classification algorithms aren't always the ideal choice since there are fewer…

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Q: Classification algorithms that are based on vector spaces are not always the ideal option to take…

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Q: Vector space-based classification algorithms aren't always the best solution for nominal feature…

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

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Q: Vector space-based classification methods may not be ideal when the problem set just has nominal…

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