| 不平衡数据集的决策树算法 |
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| 引用本文： | 范黎林,王士斌.不平衡数据集的决策树算法[J].河南师范大学学报(自然科学版),2013,41(2):154-157. |
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| 作者姓名： | 范黎林 王士斌 |
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| 作者单位： | 河南师范大学计算机与信息工程学院,河南新乡,453007 |
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| 基金项目： | 河南省科技攻关项目，河南省青年骨干教师资助项目 |
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| 摘 要： | 在不平衡数据集中,多数类不一定是最优的,这一问题将会影响决策树的生成效果和分类预测的准确性,提出类置信度比例决策树算法,这种算法对类的大小不敏感.通过实验验证,这种算法比传统的决策树算法更具有优越性.
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| 关 键 词： | 不平衡数据集 类置信度比例 决策树 算法 |
Decision Tree Algorithm for Imbalanced Data Sets |
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| FAN Lilin
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WANG Shibin.Decision Tree Algorithm for Imbalanced Data Sets[J].Journal of Henan Normal University(Natural Science),2013,41(2):154-157. |
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| Authors: | FAN Lilin WANG Shibin |
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| Institution: | (College of Computer and Information Engineering,Henan Normal University,Xinxiang 453007,China) |
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| Abstract: | The majority class in the imbalanced data sets is not necessarily the best,which will influence not only the generating effect of decision tree but also the accuracy of the final classification prediction.Therefore,Class Confidence Proportion Decision Tree is proposed.This new algorithm is insensitive to the size of the classes.It is proved that this algorithm is better than the traditional one through extensive experiments. |
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| Keywords: | imbalanced data sets Class Confidence Proportion decision Tree algorithm |
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