To represent data using decision tree in the RapidMiner tool.
Step 1: Open the RapidMiner tool.
Step 2: Select a location and name for the local repository.
Step 3: Select Operators view->Utility->Data Generation->Generate Direct Mailing Data
Step 4: Select operators view->Evaluation->Validation->Split validation and make the connections.
Step 5: Open the process which proceeds to the training and testing process.
Step 6: In the training phase, select operators->Modeling->Classification and Regression->Tree Induction->Decision tree
Step 7: Place the apply model and performance operators in the testing phase.
Step 8: Make the appropriate connections.
Step 9: Run the process to view the performance and decision tree.
Thus the data is represented using decision tree in the RapidMiner tool.