In the context of [[statistics]], the **score** indicates how sensitive a likelihood function is to its parameters $\theta$. The score function is the derivative (gradient) of the log likelihood function with respect to the parameter or parameter vector $\theta$. The score is the [[expectation]] of the score function. $E \Big [ \frac{\delta}{\delta \theta} ln f(\vec{x}; \theta) \Big ]$