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Problem 11 - Olympiad
What is the effect of increasing the parameter k in k-nearest neighbors classification?
A. Decision boundary becomes smoother
B. Model variance increases
C. Training error always decreases
D. Distance metric switches to cosine
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Correct: A
Larger k averages over more neighbors, yielding smoother, lower-variance but potentially higher-bias decision surfaces.