Linear regression (machine learning)
Last revised by Andrew Murphy on 11 Jun 2019
Citation, DOI, disclosures and article data
Citation:
Murphy A, Linear regression (machine learning). Reference article, Radiopaedia.org (Accessed on 20 Apr 2024) https://doi.org/10.53347/rID-57103
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rID:
57103
Article created:
7 Dec 2017,
Andrew Murphy ◉
Disclosures:
At the time the article was created Andrew Murphy had no recorded disclosures.
View Andrew Murphy's current disclosures
Last revised:
11 Jun 2019,
Andrew Murphy ◉
Disclosures:
At the time the article was last revised Andrew Murphy had no recorded disclosures.
View Andrew Murphy's current disclosures
Revisions:
3 times, by
1 contributor -
see full revision history and disclosures
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Linear regression in machine learning is a form of supervised learning, derived from the linear regression models in statistics. It operates under the assumption that two variables have a linear relationship, therefore, can calculate the value of an output variable based on the input variable. Linear regression is often referred to as a predictive model.
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