For a sufficiently large value of k, the k-nearest neighbors classification approach will always result in a lower misclassification rate than the simple branch splitting approach of the classification tree.

Name: For a sufficiently large value of k, the k-nearest neighbors classification approach will always result in a lower misclassification rate than the simple branch splitting approach of the classification tree.
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The Answer is False

For a Sufficiently Large Value of K, the K-Nearest Neighbors