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• In a hospital

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• In a hospital, there are some newly admitted patients in the emergency room. Their record is maintained by collecting17 measures (e.g blood, age, pressure, diabetes etc.) .Now the decision has to be taken whether to put the patient in an ICU. But as the cost of ICU is high, the patients who may survive more than a month are given higher priority. The problem is to predict high risk patients and low risk patients that is we want to find how to differenciate both of them.
• For a credit card company which typically receives plethora of applications for new cards. The main problem is to categorize the applications into those who have good credit, bad credit, or fall into a grey area ( thus requiring further human analysis). The decision is made on the basis of information provided regarding several attributes, like their annual salary, outstanding debts if any, age group etc.

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