This paper use Microsoft SQL Server 2005 data mining tools and three methods of neural networks, decision trees and logistic regression to establish the financial crisis early-warning model of listed companies. The conclusion is that the three kinds of methods have good results and the prediction accuracy rate are 80% or more. The accuracy of the decision tree algorithm model is higher than others.
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机译:本文利用Microsoft SQL Server 2005数据挖掘工具和神经网络,决策树和逻辑回归三种方法建立了上市公司的金融危机预警模型。结论是这三种方法均具有良好的效果,预测准确率在80%以上。决策树算法模型的准确性较高。
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