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更新文件 决策树-ID3_算法.md

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lion187 2019-02-21 14:29:13 +08:00
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Algorithm/AI/决策树-ID3_算法.md
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@ -58,7 +58,7 @@
在决策树分类问题中，信息增益就是决策树在进行属性选择划分前和划分后信息的差值。假设利用属性 Outlook 来分类，那么如下图
[!利用 Outlook 属性](img/决策树-ID3_算法/001.png)
![利用 Outlook 属性](./img/决策树-ID3_算法/001.png)
划分后，数据被分为三部分了，那么各个分支的信息熵计算如下