那你看看是不是这个

可能不是这个，moedler得到决策树重要性排序中最重要的属性有时不是第一个分支节点属性

老师，您截图截得是哪本书呀？

应该是基于sensitivity measure的predictor importance algorithm，在IBM SPSS Moderler的Algorithms Guide中有“predictor importance algorithms”的讲解。

请问你的截图是那本书里面的，我想去学习下这个问题，多谢

是CNKI查到的硕士毕业论文

是CNKI查到的一篇硕士毕业论文~

老师，您好！请问截图是来自哪本书呢？

是CNKI查到的一篇硕士毕业论文~

我在rpart包的说明书里面找到一段
A variable may appear in the tree many times, either as a primary or a surrogate
variable. An overall measure of variable importance is the sum of the goodness of split
measures for each split for which it was the primary variable, plus goodness * (adjusted
agreement) for all splits in which it was a surrogate. In the printout these are scaled to sum
to 100 and the rounded values are shown, omitting any variable whose proportion is less
than 1%. Imagine two variables which were essentially duplicates of each other; if we did
not count surrogates they would split the importance with neither showing up as strongly
as it should.