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Merge branch 'master' of https://github.com/apachecn/MachineLearning

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yangjifei
2017-03-08 18:52:32 +08:00
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docs/9.树回归.md
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@@ -11,3 +11,7 @@
* 那么问题来了，如何计算连续型数值的混乱度呢？
* `误差`：也就是计算平均差的总值(总方差=方差*样本数)
* 二元切分方式
* 回归树
* 模型树(线性模型)
* 树回归方法在预测复杂数据时 会比 简单的线性模型 更有效。
* Tkinter 和 matplotlib的集成，构建更强大的GUI