Which of the following is true of the value of k in the k-Nearest Neighbors algorithm?
A) The value of k is always taken as a constant and is equal to 1.
B) If the value of k is large, it drastically increases variability.
C) If the value k is very large, it introduces biases into the classification decisions.
D) If the value k is large, the classification of a record is very sensitive to the classification of the single record to which it is closest.

Question

Quizplus · Accepted Answer

The value of k in the k-Nearest Neighbors algorithm affects the bias-variance tradeoff. A very large k value can lead to a model that is too generalized, essentially introducing bias into the classification decisions by making the classification outcome too dependent on the overall distribution of the data, rather than on the nearest neighbors. This is because as k increases, the model becomes more stable and less sensitive to noise in the data, but it may also become too simplistic to capture the nuances in the data, leading to a biased model.

Which of the Following Is True of the Value of K