Multiple Choices
Answer (Choose 1 answer)
These are all pros of the k nearest neighbor algorithm EXCEPT:
A. It is sensitive to the curse of dimensionality
B. It is easy to interpret
C. It adapt wells to new training data
D. It is simple to implement as it does not require parameter estimation
