T mi

T_mi, or the mutual information, is a statistical measure that quantifies how much knowing the value of one variable reduces uncertainty about another variable. In essence, it assesses the amount of shared information between two variables; higher T_mi values mean the variables are more closely related or dependent, while lower values indicate less or no relationship. This concept is useful in fields like information theory, data analysis, and machine learning for understanding dependencies and extracting meaningful patterns from data.