Using a decision tree classifier from a machine learning library is often awkward because it usually ... Figure 1: Splitting a Dataset Based on Gini Impurity The first example set of class labels is ...

We can state the problem of learning decision trees as follows: We have a set of examples correctly categorised into categories (decisions). We also have a set of attributes describing the examples, ...

Decision trees are useful ... to be used by other machine learning techniques where normalization is necessary. Dealing with categorical predictors is a bit subtle. I recommend that they should be one ...

These decisions, which are often depicted with decision nodes, are based on the expected outcomes of undertaking particular courses of action. An example ... trees using machine learning techniques.