For this assignment, perform neural net analyses based on real-world examples of data mining applications in business.
• Using SAS Enterprise Miner or other relevant data mining software, run a neural net model on the Spending and Bankruptcy Data Set to identity the types or characteristics of people who likely file for bankruptcy.
• Use an option to normalize/transform quantitative data.
• Partition your data into a training set and validation set. Describe how your partition was established.
• Interpret your results in business terms. What sort of information, if any, is provided about the effects of the test.
Attachment:- Spending-bankruptcy-Data-.rar