This is a modification of ordinary least squares that adds a penalty term to the sum of the squared errors in order to prevent overfitting. The penalty term is proportional to the square of the magnitude of the regression coefficients.
This is a modification of ordinary least squares that adds a penalty term to the sum of the squared errors in order to prevent overfitting. The penalty term is proportional to the square of the magnitude of the regression coefficients.