Machine Learning
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Ridge Regression
Quick Definition
Regularized regression using L2 penalty to prevent overfitting
Full Definition
A regularized regression method adding L2 penalty to prevent overfitting by shrinking coefficient values.
Examples
multicollinearity handling, feature shrinkage, stable estimates
Related Terms
lasso-regression
regularization
linear-regression
More Machine Learning Terms
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Creating and transforming input variables to improve performance