For kNN classifiers, explain the relationship between parameterk and the model’s tendency to overfitting.
Solution
`Hey,
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We should choose K in K – Nearest Neighbour Algorithmswisely.
If we choose our K = 1 , then our algorithm behaves as overfitting and it gives a non – smooth decision surface.
As K increases, our decision surface gets smoother. And,if wechoose K = n, then our algorithm behaves as underfitting and itgives a smooth decision surface and everything becomes one classwhich is the majority class in
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