Kizspy | Question: 22
(Choose 1 answer)
What does the 'k' stand for in k-nearest-neighbors?
A. the number of samples in the dataset
B. the number of nearest neighbors to consider in classifying a sample
C. the distance between neighbors: All neighboring samples that are 'k' distance apart from the sample are considered in classifying that sample.
D. the number of training datasets
