Catboost plot_tree的理解 [英] Catboost plot_tree understanding

问题描述

从catboost绘制树时，它在叶子中显示 val ；这些值代表什么？

我在他们有关绘图的官方教程中找不到答案，也找不到我能找到的任何此类问题。像这样：

1. 
   

   解决方案

   这些是由树。
   多重分类和多元回归有多个价值。

   
   

   请注意，由于我们不会非常密切地监视Stack Overflow，因此最好在以下位置提问我们的 Github存储库。

   
   

   When plotting a tree from catboost, it shows val in leaves; what do these values represent?

   I can't find the answer in their official tutorial on plotting, nor are there any such questions answered anywhere that I could find. Like:

   1. LightGBM plot_tree() Leaf numbers
   2. What' the meaning of "Val" in the visualization of a lightgbm tree?
   3. https://github.com/catboost/catboost/issues?q=plot_tree

   解决方案

   These are values predicted by the tree. There are more than one value for multi-classification and multi-regression.

   Please note that as we do not monitor Stack Overflow very closely, it is better to ask questions at our Github repo.

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