The 'k' value is the most important hyperparameter in KNN.

In the Streamlit app, users can adjust the ‘k’ value to observe how it affects the model’s behavior. They can explore different values of ‘k’ and see how the decision boundary and probability predictions change.
Understanding K-Nearest Neighbors (KNN) Classification with Visualizations
164
1
Angela & Kezhan Shi
Rukshan Pramoditha
·Follow
Dec 5, 2023
--
The 'k' value is the most important hyperparameter in KNN. With Streamlit, hyperparameter tuning is very easy and interesting.
--
--
Written by Rukshan Pramoditha7.4K Followers
·122 Following
3,000,000+ Views | BSc in Stats (University of Colombo, Sri Lanka) | Top 50 Data Science, AI/ML Technical Writer on Medium
No responses yet
Help
Status
About
Careers
Press
Blog
Privacy
Terms
Text to speech
Teams