Conditional mutual information (CMI) is a measure from information theory that quantifies the amount of information that two random variables share, given the knowledge of a third variable. It extends the concept of mutual information by introducing a conditioning variable, allowing us to understand relationships between variables while controlling for the influence of the third variable.
