What exactly do you know about Bias-Variance decomposition?

 What exactly do you know about Bias-Variance decomposition?

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    The biasvariance 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 biasvariance, and a quantity called the irreducible error, resulting from noise in the problem itself.

    Answered on March 5, 2019.
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