The article analyzeds the problem of traditional method for the evaluation of trustworthiness of customer and provideds an Advanced ID3, Owing to some shortages in ID3.
分析了传统银行客户信用评估方法存在的问题，针对ID3算法存在的不足，提出了一种改进的ID3算法。
Results of instance comparison test verify the effectiveness of the method and conquer the most demerit of ID3 decision tree.
通过实例比较验证了该方法的有效性，克服了常规ID3算法的不足。
By using the method to improve the ID3 algorithm, experiments show that the algorithm generates smaller decision tree and USES less training time than the algorithm using pre-pruning method.
利用该方法对基本ID 3决策树算法进行了改进。分析和实验表明，与先剪枝方法相比，该方法能进一步减小决策树的规模和训练时间。
By using the method to improve the ID3 algorithm, experiments show that the algorithm generates smaller decision tree and USES less training time than the algorithm using pre-pruning method.
利用该方法对基本ID 3决策树算法进行了改进。分析和实验表明，与先剪枝方法相比，该方法能进一步减小决策树的规模和训练时间。
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