# What exactly do you know about Bias-Variance decomposition?

** What exactly do you know about Bias-Variance decomposition?**

**bias**–**variance decomposition** is a way of analyzing a learning algorithm’s expected generalization error with respect **to** a particular problem as a sum of three terms, the **bias**, **variance**, and a quantity called the irreducible error, resulting from noise in the problem itself.