Applying SPSS decision trees

A decision tree is a graphical and analytical to represent all events (events) that may arise from a decision made in a moment. They help us to make the decision more "successful" from a probabilistic point of view, to a range of possible choices. These trees allow to examine the results and visually determine how the model flows. Visual results help find specific subgroups and relationships that may not be faced with more traditional statistics.

Decision trees are a statistical technique for segmentation, stratification, prediction, data reduction and variable screening, identification of interactions, category merging and discretizing continuous variables.

The function decision trees (Tree) in SPSS creates classification trees and decision to identify groups, discover relationships between groups and predict future events. There are different types of tree CHAID, Exhaustive CHAID, CRT and QUEST, whichever best fits our data.