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KNN (distance metrics)
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294.
Feature Scaling in KNN
easy
Why is feature scaling important before applying KNN?
A
Feature scaling reduces the computational cost of distance calculations by normalizing the feature range
B
Feature scaling ensures all features contribute equally to the model's decision boundary during training
C
KNN requires all features to be normally distributed, and scaling achieves approximate normality
D
Features on larger scales dominate the distance calculation, making unscaled KNN biased toward those features
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