Imagine you are working with a dataset where the classes are highly overlapped. How would LDA handle this situation, and what might be the challenges?
- LDA would easily separate the classes; no challenges
- LDA would ignore the overlap and classify randomly
- LDA would require additional data for proper classification
- LDA would struggle to separate the classes; potential misclassification
LDA would "struggle to separate the classes" when there's high overlap, as it relies on maximizing between-class variance. The challenges include potential misclassification and decreased accuracy.
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