The decision tree machine learning - "machine learning" Zhou Zhihua the

1. Decision Tree which includes several parts? What are commonly used algorithms?

2. What decision tree root, internal nodes and leaf nodes represent?

3. Feature Selection criteria What (how to choose the optimal division of property)?

4. How does the decision tree to prevent over-fitting?

5. continuous value and how to deal with missing values?

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Origin blog.csdn.net/weixin_41566127/article/details/92378710