Question
Which distance is commonly used by basic k-NN for numerical features?
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Correct Answer: B. Euclidean distance
Explanation:
Euclidean distance measures straight-line separation between feature vectors. Other distances may be used, but Euclidean distance is a common default for scaled numerical data.
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