Decision tree using Auto model
I am doing Fraud Detection Analysis with Decision Tree using Auto Model in RapidMiner version 9.3.0. The dataset and screenshots are attached below. Instead of getting a nice tree, I am getting just a single good leaf. This means that the Auto Model is predicting all the examples of the label attribute to be good. they are not even showing the decision options. How do I get a nice proper tree? can anyone help me with this?