{"id":4217,"date":"2020-10-15T03:48:22","date_gmt":"2020-10-15T03:48:22","guid":{"rendered":"https:\/\/data-science.gotoauthority.com\/2020\/10\/15\/difference-between-r-squared-and-adjusted-r-squared\/"},"modified":"2020-10-15T03:48:22","modified_gmt":"2020-10-15T03:48:22","slug":"difference-between-r-squared-and-adjusted-r-squared","status":"publish","type":"post","link":"https:\/\/wealthrevelation.com\/data-science\/2020\/10\/15\/difference-between-r-squared-and-adjusted-r-squared\/","title":{"rendered":"Difference Between R-Squared and Adjusted R-Squared"},"content":{"rendered":"
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While building regression algorithms, the common question which comes to our mind is how to evaluate regression models<\/strong>. Even though we are having various statistics to quantify the regression models performance, the straight forward methods are R-Squared and Adjusted R-Squared.<\/p>\n

People tend to use the R Squared method, but the catch is r-squared alone is not a good measure for evaluating the regression models. Where comes the hero \ud83d\ude42 adjusted r-square method.<\/p>\n<\/div>\n

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Learn the key difference between r-squared and adjusted r-squared. #machinelearning #datascience #regression<\/p>\n<\/div>\n

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Even in data science interviews<\/a> the frequent asked question is<\/p>\n

Could you please explain the key difference between R-Squared and Adjusted R-Squared<\/strong> ?<\/p><\/blockquote>\n

Do you the answer for that \"\u263a\"<\/p>\n

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You are crystal clear about r squared but forgot about adjusted r-squared right. Don\u2019t worry, these concepts are a bit confusing. All we need is a regular refresh on the concepts, not regular but at least before you start looking for a new data scientist job<\/a>.<\/p>\n

This article is an ideal place for this.<\/p>\n

We hope you are aware of the R Squared method. Still if you are not aware of the R Squared method, state tune till the end of this article. You will learn all the topics along with the key differences between R Squared and Adjusted R Square.<\/p>\n

Before we drive further, let\u2019s see the table of contents for this article.<\/p>\n<\/div>\n

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Let\u2019s start with understanding the key concepts in regression concepts, these concepts are not about the regression algorithm<\/a>. These concepts are the basic blocks which help in understanding the key between R-squared and Adjusted R-Squared in a much deeper level.<\/p>\n

Why wait, let\u2019s start!<\/p>\n

Basic regression concepts<\/h2>\n

Unlike any machine learning classification algorithms<\/a>, the regression models are having various evaluation methods. These evaluation methods are completely different from the classification evaluation methods<\/a>.<\/p>\n

For any regression model evaluation method aim is to show how the residuals are distributed<\/strong>. The way the residuals are used in various formulas changes from one evaluation method to another.<\/p>\n

To understand about R-Squared and Adjusted R-Squared we need to know the below basic concepts. In a way we need to get the answers for the below questions.<\/p>\n