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Answer (Choose 1 answer)
The main purpose of scaling features before fitting a k nearest neighbor model is to:
A. Help find the appropriate value of k
B. Ensure decision boundaries have roughly the same size for all classes
C. Ensure that features have similar influence on the distance calculation
D. Break ties in case there is the same number of neighbors of different classes next to a gir
