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  Published Paper Details:

  Paper Title

A STUDY ON COMPARISON AMONG RIDGE, LASSO AND ELASTIC NET REGRESSIONS

  Authors

  B.Sarojamma,  AnilKumar.K

  Keywords

Linear Regression, Multiple Regression, Ridge regression, Lasso Regression, Elastic Net Regression

  Abstract


If there are two or more independent variables are explaining the pragmatic behavior of either one or more dependent variables then Regression analysis is the best option for fitting a model as well as for forecasting. There are so many types of regression techniques in literature, some of the popular Regression techniques are Linear Regression, Logistic Regression, Polynomial Regression, Stepwise Regression, Ridge regression, Lasso Regression, Elastic Net Regression etc. In the present study we are comparing Ridge regression, lasso Regression and Elastic Net Regression using Durbin Watson test and empirically tested by using real data.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1705332

  Paper ID - 181131

  Page Number(s) - 600-604

  Pubished in - Volume 6 | Issue 1 | January 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  B.Sarojamma,  AnilKumar.K,   "A STUDY ON COMPARISON AMONG RIDGE, LASSO AND ELASTIC NET REGRESSIONS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.600-604, January 2018, Available at :http://www.ijcrt.org/papers/IJCRT1705332.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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