Applying the decision tree prediction to the problem of rural credit cooperative farmers' loan credit evaluation, the basic idea is: according to the known sample and the original credit evaluation status, the decision tree is used to find the relationship between the credit status of the lender and some of its characteristic attributes, so that the credit situation of the lender can be predicted by the specific observation of these attributes of the farmers.
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