Database, Decision Tree, Random Forest, Entropy, Gini Index.
training data for a decision tree (each row is a sample) shown below. An attribute is a characteristic of the situation that we can measure. The samples could be observations of previous decisions taken. Say we want to split on attribute Alt, we can have the calculation of entropy for Alt shown