Choosing too small a value for K in KNN can lead to a __________ model, while choosing too large a value can lead to a __________ model.
- fast, slow
- noisy, smooth
- slow, fast
- smooth, noisy
A small K leads to a noisy model as it is sensitive to noise, whereas a large K results in a smooth model due to the averaging effect over more neighbors.
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