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# Understanding R-squared and Adjusted R-squared in Machine Learning

**[AI in Plain English](https://daily.dev/sources/aiplainenglish)** · 3 min read · 0 upvotes · 0 comments

## Summary

R-squared and Adjusted R-squared are crucial tools for evaluating regression models. While R-squared provides insight into the model’s fit, Adjusted R-squared goes a step further by considering the number of predictors.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://ai.plainenglish.io/understanding-r-squared-and-adjusted-r-squared-in-machine-learning-fbde9e768976?source=rss----78d064101951---4>

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

[View this post on daily.dev](https://daily.dev/posts/understanding-r-squared-and-adjusted-r-squared-in-machine-learning-emoq3hxrh)

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