Question: K-nearest neighbor method predicts the label for a given data point. by averaging k clos, points to that data point Will model complexity increase, as
- K-nearest neighbor method predicts the label for a given data point. by averaging k clos, points to that data point
- Will model complexity increase, as k increases? Why?
- Will bias error increase as In increases? Why?
- What is a good method to select a value for k?
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