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I understand what SVM is but I have come across people saying Support Vector Regressions (SVR) and I do not know what is the difference between SVM and SVR.

Can someone point out the mathematical differences between the two ? When do we use one over the other ?

Also, is there any resources with mathematical derivation and R Code which will allow me to read up on the mathematics and implementation of the Support Vector Regression?

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  • a support vector machine performs classification
  • support vector regression performs regression

Related:

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    $\begingroup$ I think this much the OP already knows... And the linked answer is not that strong either. $\endgroup$ – usεr11852 Jun 25 '17 at 22:57
  • $\begingroup$ @usεr11852 if he wants to know how SVR works then the question is pretty much a duplicate $\endgroup$ – Franck Dernoncourt Jun 25 '17 at 23:04
  • $\begingroup$ I agree with your assessment this question being a potential duplicate. Maybe I read too much in the opening statement "I understand what SVM is" so I cannot see any non-obvious information being communicated. I will delete my comments and upvote if the OP finds this helpful (and/or accepts as an answer). $\endgroup$ – usεr11852 Jun 25 '17 at 23:20
  • $\begingroup$ @usεr11852 I have added some answer in Support vector machines and regression $\endgroup$ – Franck Dernoncourt Jun 28 '17 at 22:09
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I think this query is well addressed on the following link:

SVM vs. SVR

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