Which of the following statement is False in the case of the KNN Algorithm?
A. For a very large value of K, points from other classes may be included in the neighborhood.
B. For the very small value of K, the algorithm is very sensitive to noise.
C. KNN is used only for classification problem statements.
D. KNN is a lazy learner.
Answer:C
Which of the following statement is False in the case of the KNN Algorithm?
A. For a very large value of K, points from other classes may be included in the neighborhood. B. For the very small value of K, the algorithm is very sensitive to noise. C. KNN is used only for classification problem statements. D. KNN is a lazy learner.
Explanation: We can use KNN for both regression and classification problem statements. In classification, we use the majority class based on the value of K, while in regression, we take an average of all points and then give the predictions.