Decision Tree, Entropy, Information Gain, Gini Index.
calculate a potential split from each variable, calculate the average entropy across both or all the nodes and then the change in entropy vis a vis the parent node. This change in entropy is termed Information Gain and represents how much information a feature provides for the target variable.