Question

How should we take the value of k

Answer 1

Step-by-step explanation:

So the value of k indicates the number of training samples that are needed to classify the test sample. Coming to your question, the value of k is non-parametric and a general rule of thumb in choosing the value of k is k = sqrt(N)/2, where N stands for the number of samples in your training dataset.

Answer 2

Step-by-step explanation:

the value of k indicates the number of training samples that are needed to classify the test sample. Coming to your question, the value of k is non-parametric and a general rule of thumb in choosing the value of k is k = sqrt(N)/2.