What are the potential issues with using a large value of K in KNN, and how can they be mitigated?
- All of the above
- Complexity, can be mitigated by feature selection
- Overfitting, can be mitigated by reducing dimensions
- Underfitting, can be mitigated by reducing K
A large value of K in KNN may cause underfitting. It can be mitigated by reducing K or using techniques like cross-validation.
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