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. How do I get a nice proper tree? can anyone help me with this?