Compare LASSO and Ridge Regression.

Compare LASSO and Ridge Regression.



The LASSO produces sparse parameters; most of the coefficients will become zero, and the model will depend on a small subset of the features. In contrast, ridge regression produces models in which most parameters are small but nonzero.


Popular posts from this blog

After analyzing the model, your manager has informed that your regression model is suffering from multicollinearity. How would you check if he's true? Without losing any information, can you still build a better model?

Is rotation necessary in PCA? If yes, Why? What will happen if you don't rotate the components?

What does Latency mean?