The Machine Learning Abstracts (Part 2): Decision Trees

The basic intuition behind a decision tree is to map out all possible decision paths in the form of a tree. Let us try to analyze and deeply understand decision trees using our Spring cleaning example we talked about in the previous part about classification. Let's see how we go about the process of constructing a decision tree. Decision tree construction involves splitting. In our example, each feature has only two possible values ("yes" and "no").