Hi I am trying to build a decision tree for my data , my data is about child abuse and contains integer (the age) and nominal data , the decision tree only gave me one node I don't know why ?
RapidMiner's decision tree has a "minimal gain" parameter. If a new node would not result in at least the increase of model performance, the algorithm stops. Try to decrease that parameter if you want deeper trees. But you should carefully evaluate your models and compare different parameter settings. For that you should have a look at the Optimize Parameters operator.
Best, Marius