REPRESENTING DATA USING DECISION TREE IN RAPID MINOR

REPRESENTING DATA USING DECISION TREE
REPRESENTING DATA USING DECISION TREE




AIM:

To represent data using decision tree in the 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 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.

SCREENSHOTS:
REPRESENTING DATA USING DECISION TREE
REPRESENTING DATA USING DECISION TREE
REPRESENTING DATA USING DECISION TREE
REPRESENTING DATA USING DECISION TREE
REPRESENTING DATA USING DECISION TREE
REPRESENTING DATA USING DECISION TREE

RESULT:

Thus the data is represented using decision tree in the RapidMiner tool.




Be First to Comment

Leave a Reply

Your email address will not be published. Required fields are marked *

*

code