Predictive Analytics Using Rattle and Qlik Sense

Using a Decision Tree to classify credit risks

In this section, we will create a model to classify credit risks. In this section, we will create the model; we won't look at the performance of the model. We'll evaluate the performance of the model and improve it in the next chapter.

As we did before, to create this example, we'll download a dataset from the UCI Machine Learning Repository. We'll use a dataset called Statlog (German Credit Data) Dataset. The source of the dataset is Professor Dr. Hans Hofmann from Institut für Statistik und Ökonometrie, Universität Hamburg. The dataset classifies people described by a set of attributes as good or bad credit risks.

The dataset is downloaded from the following link:

https://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29 ...