Bias-Variance Tradeoff

A fundamental concept in machine learning describing the tension between error from erroneous assumptions (bias) and error from sensitivity to small fluctuations in training data (variance). Balancing the two is key to model generalization.

Part of the Data & AI Terms glossary.