To create a generic optimization preprocessor in 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 Data
Step 4: Select Operators view->Data Transformation->Attribute set Reduction and Transformation->Selection ->Optimization->Optimize selection
Step 5: Connect the operators and click on the process which then leads to the validation process.
Step 6: Select operators view->Evaluation->Validation->Split validation and make the connections.
Step 7: Click on the process which proceeds to the training and testing process.
Step 8: Select operators->Modeling->Classification and Regression->Support Vector Modeling->Support Vector Machine in the training phase.
Step 9: Select operators->Modeling-> Model Application-> Apply Model and Evaluation-> Performance and Measurement->Performance in the testing phase.
Step 10: Make the appropriate connections.
Step 11: Run the process in forward selection and backward elimination mode.
The forward and backward optimization is created using optimize selection operator of the RapidMiner tool.