基于不平衡的银行破产分类算法研究

he banks bankruptcy prediction problem, is risk management problem, through the application of the SVM arithmetic with cost sensitive learning, this article address the analysis on large amount of financial index of banks. And comparing the various kinds of machine learning, find out the best arithmetic on banks bankruptcy prediction. The experiments prove that the arithmetic base on SVM can efficiently find out those financial data which may lead to bank bankruptcy. It is beneficiary to those bank companies to investigate the potential issue and take necessary actions to prevent the bank bankruptcy.