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random forest 随机森林

于 2022-04-16 发布 文件大小:13.15 kB
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模型组合(比如说有Boosting,Bagging等)与决策树相关的算法比较多,这些算法最终的结果是生成N(可能会有几百棵以上)棵树,这样可以大大的减少单决策树带来的毛病,有点类似于三个臭皮匠等于一个诸葛亮的做法,虽然这几百棵决策树中的每一棵都很简单(相对于C4.5这种单决策树来说),但是他们组合起来确是很强大。

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