What is the main disadvantage of the k-nearest neighbors algorithm?

High interpretability

Computational expense with large datasets

Overfitting

Underfitting

K-Nearest Neighbors can be computationally expensive, especially with large datasets, due to distance calculations.

Strengthen Your Practice with our comprehensive question bank.

Get Expert Advice for Free: Register for Your Free Consultation Now!

Full Name

Phone Number

Select Language

Select Course

Please leave this field empty.