Ridge regression

Creator
Creator
Seonglae ChoSeonglae Cho
Created
Created
2023 Mar 14 2:28
Editor
Edited
Edited
2024 Dec 4 1:55

Perform regularization as a method to increase bias and reduce variance

Regularization
concept is first adapted to Ridge Regression model
not like linear regression, focus on Regularizer too not only on Fitting error

Linear regression +
L2 Norm

find 0 point in function derivation by
  • controls the tradeoff between Fitting error, Regularizer (overfitting and underfitting)
alpha, lambda, regularization parameter, penalty term is same
 
 
 
 
 
 
 

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