In k-NN algorithm, given a set of training examples and the value of k < size of training set (n), the algorithm predicts the class of a test example to be the
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In k-NN algorithm, given a set of training examples and the value of k < size of training set (n), the algorithm predicts the class of a test example to be the
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The correct answer to this question is Option A- Most frequent class among the classes of k closest training examples.
In k-NN classification, the algorithm predicts a class membership.
An object is classified by the majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors, where k is a positive integer.
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