EVOLUTIONARY WEIGHTING OF THE ATTRIBUTES IN RAPID MINOR

EVOLUTIONARY WEIGHTING OF THE ATTRIBUTES
EVOLUTIONARY WEIGHTING OF THE ATTRIBUTES





AIM:

To perform the evolutionary weighting of the attributes using RapidMiner.

ALGORITHM:

Step 1: Open the RapidMiner tool.

Step 2: Select Operators ->Modeling->Attribute Weighting->Optimize Weights (evolutionary) and place it in the main process.

Step 3: Import and retrieve a dataset whose character field is label.

Step 4: On double clicking, Optimize weights it leads to Evaluation Process. Place Split Validation operator in it.

Step 5: Again on double clicking the process, leads to Training and Testing phase.

Step 6: In Training phase, place Neural net.

Step 7: In testing phase, place Apply Model and Performance.

Step 8: In the main process, click on the optimize weights operator. The right side of the window have several options to be modified.

Step 9: Give the population size as 10, check early stopping and show population plotter, set the selection scheme as roulette wheel, p crossover as 0.2 and crossover type as shuffle.

Step 10: Make the necessary connections and run the process.

RESULT:

Thus the evolutionary weighting of the attributes are obtained using RapidMiner.




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