1. Why is K nearest neighbour “lazy learning” ? Explain bycomparing with an “eager learning” method. What advantage lazylearning method can offer ?
2. When would you possibly use K nearest neighbour ? What arethe three different models of classifying a new test sample,usingknearest neighbors in Instance based learning ?
3. How we can modify K nearest neighbour algorithms by givingmore weightage to the nearer neighbours?
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