How to do ridge regression in R Ridge Regression is a type of linear regression that is used to analyze multiple regression data. The main goal of this method is to prevent overfitting by adding a small amount of bias to the regression estimates. In simple words, it helps to reduce the complexity of the …
Day: November 4, 2019
How to do lasso regression in R Lasso regression is a type of linear regression that adds a regularization term to the equation. This helps to prevent overfitting, which occurs when a model is too complex and is able to fit the noise in the data instead of the actual underlying trend. The “lasso” part …
How to do elastic net regression in R Elastic net regression is a method of linear regression that combines the strengths of two other methods, Lasso and Ridge regression. Like Lasso regression, Elastic net adds a penalty term to the linear regression equation to shrink the coefficients of the independent variables towards zero. This helps …