How many way to reduce overfitting problem of Linear classificationH

1. How do you reduce overfitting in linear regression?

How do you reduce overfitting in linear regression?

Regularization, in the context of linear regression, is the technique of penalizing these model coefficients, consequently reducing overfitting. This is by adding a penalty factor to the cost function (cost function + penalty on coefficients) minimizing both the cost function and the penalty.