Python, Ridge Regression, Lasso Regression, Elastic Net, Regularization.
model complexity increases, so the variance is high. In this case, the model cannot be generalized enough and cannot provide a good result when new data comes in. All three regression models mentioned in the title use penalty methods to improve this situation. The punishment process here is called