Bias-Variance Tradeoff (Geometric Intuition)

Bias-Variance Tradeoff 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.