Decision Tree, Entropy, Information Gain, Gini Index.
understand in Decision Trees is that they split the predictor space, i.e., the target variable into different sub groups which are relatively more homogenous from the perspective of the target variable. For example, if the target variable is binary, with categories 1 and 0 ( shown by green and red