CREATION OF GENERIC OPTIMIZATION PREPROCESSOR IN RAPID MINOR

CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR




AIM:

To create a generic optimization preprocessor in RapidMiner tool.

ALGORITHM:

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.

SCREENSHOTS:

CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR

Forward Selection:

CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR

Backward Elimination:

CREATION OF GENERIC OPTIMIZATION PREPROCESSOR
CREATION OF GENERIC OPTIMIZATION PREPROCESSOR

RESULT:

The forward and backward optimization is created using optimize selection operator of the RapidMiner tool.




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