RidgeRegression.md (549B)
1 # Ridge Regression 2 3 ML D3 4 5 **Definition:** Ridge regression uses a different cost function than standard linear regression to limit the size of coefficients. 6 7 There is a regularization portion to the cost function which increases loss when coefficients are large thus incentivizing smaller coefficient values. Along with this, there is a hyperparameter, lambda, that gives more or less weight to this portion of the equation so a value of 0 would be standard linear regression while a high number would move the coeficcients closer and closer to 0.