| WEKA中的Id3决策树算法 |
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| 引用本文： | 李四海,张忠文.WEKA中的Id3决策树算法[J].长春大学学报,2011(2):67-69. |
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| 作者姓名： | 李四海 张忠文 |
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| 作者单位： | 甘肃中医学院计算机教研室 |
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| 摘 要： | ID3算法是决策树学习归纳和数据挖掘中的核心方法。本文对ID3算法及其在WEKA中的实现进行了阐述，给出了使用剪枝阈值对决策树进行先剪枝的方法，最后通过实例对该方法的有效性进行了验证。
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| 关 键 词： | 决策树 ID3 WEKA pruning—threshold |
The Id3 decision tree algorithm in WEKA |
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| LI Si-hai,ZHANG Zhong-wen.The Id3 decision tree algorithm in WEKA[J].Journal of Changchun University,2011(2):67-69. |
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| Authors: | LI Si-hai ZHANG Zhong-wen |
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| Institution: | (Computer Teaching and Research Section,Gansu College of Traditional Chinese Medicine,Lanzhou 730000,China) |
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| Abstract: | ID3 algorithm is a key method in induction as well as in Data Mining. The implementation of Id3 in WEKA is discussed in detail in this paper. A tree pruning method through applying pruning-threshold is given. The effectiveness of the method is demonstrated by the experiment results. |
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| Keywords: | decision tree Id3 WEKA pruning-threshold |
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