How does the choice of K affect the classification result in K nearest neighbors?
Monday, 07 August 2023
by EITCA Academy
The choice of K in K nearest neighbors (KNN) algorithm plays a crucial role in determining the classification result. K represents the number of nearest neighbors considered for classifying a new data point. It directly impacts the bias-variance trade-off, decision boundary, and the overall performance of the KNN algorithm. When selecting the value of K,
- 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, Bias-Variance Trade-off, Classification, KNN, Machine Learning, Model Selection