Classification, as we saw from the example in the previous article, USES every data instance to create a tree, which we would traverse to find our answer.

分类，如我们在前一篇文章的例子中看到的，使用每个数据实例来创建树，我们需要遍历此树才能找到答案。

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The second was classification (also known as classification tree or decision tree), which can be used to create an actual branching tree to predict the output value of an unknown data point.

第二种技术是分类（即分类树或决策树），用来创建一个实际的分支树来预测某个未知数据点的输出值。

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Content classification is any process that enriches data to organize it in a manner that makes the data easier to search, archive, manage, and integrate into other processes.

内容分类是任何一种这样的进程，即增强数据，以便采用让数据更容易搜索、归档、管理和集成到其他进程中的方式组织数据。

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