---
title: "What is Overfitting in Machine Learning?"
url: https://daily.dev/posts/what-is-overfitting-in-machine-learning--s4lmn9ixh
source_url: https://www.freecodecamp.org/news/what-is-overfitting-machine-learning/
type: article
source: "freeCodeCamp"
published: 2023-10-16T22:42:56.936Z
updated: 2023-10-16T22:41:56.027Z
tags: ["machine-learning", "overfitting"]
reading_time: 10
upvotes: 8
comments: 0
language: en
---

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# What is Overfitting in Machine Learning?

**[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 10 min read · 8 upvotes · 0 comments

## Summary

Overfitting occurs when a model fits training data too closely, resulting in poor generalization and incorrect predictions. It can be caused by noisy data, insufficient training data, or overly complex models. To prevent overfitting, collecting more training data, using regularization techniques, and employing ensemble methods are recommended.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.freecodecamp.org/news/what-is-overfitting-machine-learning/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#overfitting](https://daily.dev/tags/overfitting)

[View this post on daily.dev](https://daily.dev/posts/what-is-overfitting-in-machine-learning--s4lmn9ixh)
