To predict the unknown data using neural net and apply models in RapidMiner tool.
Step 1: Open the RapidMiner tool.
Step 2: In the welcome perspective that opens, select the new icon.
Step 3: Select the repository location and click ok.
Step 4: Import two csv files containing the mark and result details.
Step 5: The result field of first file is given as label and of the second as prediction.
Step 6: Retrieve both the files into the design view of the process.
Step 7: In the design perspective, click operators view àModeling à Classification and RegressionàNeural Net training Neural Net.
Step 8: In the design perspective, click operators view àModeling à Model ApplicationàApply Model.
Step 9: Connect the out of the retrieve to the tra of the neural net. The mod of neural net is connected to the mod of apply model.
Step 10: Connect the out of the retrieve to the unl of the apply model. The mod and lab of apply model is connected to the res of the process.
Step 11: Run the process to view the predicted data and improved neural net.
The unknown data are predicted using neural net and apply model of RapidMiner tool.