[英]R: How to interpret my party plot decision tree?
I made a decision tree with party plot in R but don't really know what it's telling me.我在 R 中与派对 plot 制作了一个决策树,但我真的不知道它在告诉我什么。 The data is about the indian startup ecosystem.
这些数据是关于印度创业生态系统的。 I don't know what nodes mean.
我不知道节点是什么意思。
The tree displays the subsets found through recursive partitioning.树显示通过递归分区找到的子集。 The dependent variable in every resulting subset is visualized by a box plot.
每个结果子集中的因变量由框 plot 可视化。
As an example, consider node 10:例如,考虑节点 10:
InvestmantnType
and had a Date.dd.mm.yyyy
in 15, 2018, or 2019.InvestmantnType
并在 2018 年 15 月或 2019 年具有Date.dd.mm.yyyy
的所有观察结果。Amount.in.USD
for these 95 observations.Amount.in.USD
的分布。 You can extract the variable importance from tree$variable.importance
or you can simply summary(tree)
.您可以从
tree$variable.importance
中提取变量重要性,或者您可以简单地summary(tree)
。 Variable importance tells us which variables are most important for the models to make decisions.变量重要性告诉我们哪些变量对模型做出决策最重要。
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