Why is it recommended to choose an odd value for K in K nearest neighbors?
Monday, 07 August 2023
by EITCA Academy
When using the K nearest neighbors (KNN) algorithm for classification tasks, it is generally recommended to choose an odd value for K. This recommendation is based on several factors that can affect the performance and accuracy of the algorithm. In this answer, we will explore the reasons behind this recommendation and provide a comprehensive explanation.
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Programming machine learning, Introduction to classification with K nearest neighbors, Examination review
Tagged under:
Artificial Intelligence, Classification, K Nearest Neighbors, Machine Learning, Odd Value, Ties