Improving Prediction Accuracy of Lasso and Ridge Regression as an Alternative to LS Regression to Identify Variable Selection Problems
This paper introduces the Lasso and Ridge Regression methods, which are two popular regularization approaches. The method they give a penalty to the coefficients differs in both of them. L1 Regularization refers to Lasso linear regression, while L2 Regularization refers to Ridge regression. As we al...
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| Format: | Article |
| Language: | English |
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Salahaddin University-Erbil
2022-12-01
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| Series: | Zanco Journal of Pure and Applied Sciences |
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| Online Access: | https://zancojournal.su.edu.krd/index.php/JPAS/article/view/1244 |