If there is a concern about the importance of closer neighbors versus further neighbors in KNN, implementing __________ can be a solution to give varying importance based on distance.
- distance weighting
- equal weighting
- random weighting
- uniform weighting
Implementing distance weighting in KNN gives varying importance based on distance, assigning more weight to closer neighbors.
Loading...
Related Quiz
- Why is Bootstrapping an essential technique in statistical analysis?
- Which tool or technique is often used to make complex machine learning models more understandable for humans?
- A company wants to classify its products into different categories based on various features. How could LDA be applied here, considering both within-class and between-class variances?
- You've been asked to optimize the features for a given model. What strategies might you use, and why?
- You are working on a project where you have an abundance of features. How do you decide which features to include in your model and why?