---
title: "Discussion on \"Bias in k-NN classifier\" | Hashnode"
description: "Discussion on \"Bias in k-NN classifier\". In the case of K-nearest neighbors (KNN) classifiers, the bias typically increases as the value of K increases. Here's why:\n\nWhen K is small (e.g., K=1), the model tends to overfit the training data, as it is highly sensitive to noise and anomalies. ..."
url: "https://hashnode.com/posts/bias-in-k-nn-classifier/66ed120b917cebfe8e4591c0"
---

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# [Bias in k-NN classifier](https://kaustubhk.hashnode.dev/bias-in-k-nn-classifier?utm_source=hashnode&utm_medium=feed)

In the case of K-nearest neighbors (KNN) classifiers, the bias typically increases as the value of K increases. Here's why: When K is small (e.g., K=1), the model tends to overfit the training data, as it is highly sensitive to noise and anomalies. ...

Sep 20, 2024 · 2 min read · kaustubhk.hashnode.dev  
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## Written by

[Kaustubh Kulkarni](https://hashnode.com/@kaustubhk)

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