Abstract
According to the characteristics of personal credit assessment example data, we analyze the advantages and disadvantages of decision tree and support vector machine in solving the problem of personal credit assessment. And then, we propose a hybrid classification method combining decision tree and support vector machine. Case analysis shows that this method effectively improves the classification accuracy.
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