Question: Consider a k - nearest neighbors ( k - NN ) binary classifier which assigns the class of a test point to be the class

Consider a k-nearest neighbors (k-NN) binary classifier which assigns the class of a test point to be
the class of the majority of the k-nearest neighbors in the training dataset, according to the Euclidean
distance metric. Assume that ties are broken by selecting one of the labels uniformly at random.

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