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KNN (distance metrics)
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252.
Effect of K on Bias and Variance
medium
What is the effect of increasing K in KNN on bias and variance?
A
Increasing K has no effect on bias but decreases variance by reducing sensitivity to individual points
B
Increasing K increases both bias and variance since more neighbors introduce more conflicting information
C
Increasing K decreases bias and increases variance by incorporating more training points per prediction
D
Increasing K increases bias and decreases variance by smoothing predictions over more neighbors
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