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