Question: When using the k - nearest neighbor classifier, what is the problem of choosing very small value of k ? The classifier be capable of

When using the k- nearest neighbor classifier, what is the problem of choosing very small value of k?
The classifier be capable of overfitting
The neighborhood may include points from other classes
Misclassification rate will be very high.
All the three
When using the k- nearest neighbor classifier, what is the problem

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