Lasso regression: Difference between revisions

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

Revision as of 18:50, 15 April 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.