![]() ![]() To minimize loss from the bank’s perspective, the bank needs a decision rule regarding who to give approval of the loan and who not to. Is not likely to repay the loan, then approving the loan to the person results in a financial loss to the bank Objective of Analysis: Minimization of risk and maximization of profit on behalf of the bank. If the applicant is a bad credit risk, i.e.Is likely to repay the loan, then not approving the loan to the person results in a loss of business to the bank If the applicant is a good credit risk, i.e.Two types of risks are associated with the bank’s decision – German credit data Description of the German credit dataset. When a bank receives a loan application, based on the applicant’s profile the bank has to make a decision regarding whether to go ahead with the loan approval or not. There may be several options for tools available for a data set. It is important to understand the rationale behind the methods so that tools and methods have appropriate fit with the data and the objective of pattern recognition. German Credit Data Set Arff Download 4,6/5 1866votesĭata mining is a critical step in knowledge discovery involving theories, methodologies and tools for revealing patterns in data. ![]()
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