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In K-Nearest Neighbors (KNN), what does K represent?
In K-Nearest Neighbors (KNN), what does K represent?
A . The number of clusters to form
B . The number of training samples to use
C . The number of features to consider
D . The number of nearest neighbors to consider
Answer: D
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