擅长:python、mysql、java
<blockquote>
<p>However, it seems that the maximum number of features resets at each node. That is, for any given node, the estimator randomly selects 10 features, chooses the best one, splits the node and repeats the process for all subsequent nodes.</p>
</blockquote>
<p>你在这里的理解是正确的。梯度提升和随机森林的工作方式是,在每个树的<strong>每个分割处,他们将随机选择<code>max_features</code>(在文献中,该参数称为<code>mtry</code>)进行评估。这是一种机制,通过该机制,模型通过在每次分割时不评估每个特征而在模型之间引入随机性</p>