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。

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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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