Question: ( a ) Explain why a 1 - nearest neighbor classifier will achieve 1 0 0 % accuracy if the test set is the same

(a) Explain why a 1-nearest neighbor classifier will achieve 100% accuracy if the test set is the same as the training set.
(b) Explain why the statement in part (a) is not true for a 5 nearest neighbor classifier.
(c) To create a training set from a dataset, do we use sampling with replacement or without replacement?
Explain.

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