In this paper, decision trees and rules induction algorithms
are used as they are “white box” classification techniques;
that is, they provide an explanation for the classification result
and can be used directly for decision making. A decision tree
is a set of conditions organized in a hierarchical structure.
An instance is classified by following the path of satisfied
conditions from the root of the tree until a leaf is reached,
which will correspond with a class label.