Lasso regression: Difference between revisions

From Rice Wiki
(Created page with "'''Regularization (aka. Lasso Regression)''' is a regression model with an additional term called the ''regularizer''. The motive for this model is to discourage overfitting. = Regularizer = The '''regularizer''' <math>\lambda</math> is an additional term to the loss function that penalizes higher order terms. <math>\lambda \sum \left| w_j \right|</math>")
 
m (Rice moved page Regularization to Lasso regression)
 
(One intermediate revision by the same user not shown)
Line 5: Line 5:


<math>\lambda \sum \left| w_j \right|</math>
<math>\lambda \sum \left| w_j \right|</math>
[[Category:Machine Learning]]

Latest revision as of 19:47, 18 May 2024

Regularization (aka. Lasso Regression) is a regression model with an additional term called the regularizer. The motive for this model is to discourage overfitting.

Regularizer

The regularizer is an additional term to the loss function that penalizes higher order terms.