Bias (Statistical)

A systematic error in a model's predictions that causes it to consistently lean in a particular direction, for example always underestimating or always overestimating a value. Bias often stems from flawed assumptions in the model or unrepresentative training data.
See also: bias-variance tradeoff, algorithmic bias, underfitting.