Sebastian Hoffmeister, Trainer and Statistical Consultant, STATCON
Decision trees are a well-known method when it comes to data mining and predictive modeling. Compared to other methods, decision trees are unique in that they are not only able to allow good predictions but can also display the relationships in the data. This talk will showcase the use of decision trees on technical process data as a preliminary step before a designed study. Decision trees are used to find potential factors in process data that might be worth investigating. As part of this presentation we will introduce the usage of interactions and higher-order terms in decision trees – a technique that is researched very little yet. We will show how the inclusion of interactions can make decision trees smaller, more precise and easier to explain.