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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
production costs for general motorsuse gm general motors as an example explain variable fixed average marginal and
Sponsorship comes in a number of forms. Explain the objectives behind sponsoring a sporting structure such as a football league.
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What are Brigid's responsibilities (refer to the Statements on Standards for Tax Services), if any, concerning Anthony's 2009 tax return? What effect does the issue have on Brigid's preparation of Anthony's 2010 return?
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