英文:
How to evaluate joint importance of two features in a model (random forest) using R package such as VIP or DALEXtra?
问题
我知道如何使用这些包（VIP等）与tidymodels一起评估模型的个别特征贡献/重要性，例如随机森林。但我想知道如何评估两个或更多特征的联合重要性？可能我不能简单地将这些特征的重要性分数相加吗？
谢谢。
- Xiaokuan
英文:
I know to use these packages (VIP etc) with tidymodels to evaluate individual feature contribution/importance for a model such as random forest. But I'd like to know to evaluate a combined or joint importance for two or more features? Probably I cannot just simply add importance scores of these features together?
Thank you.
-Xiaokuan
答案1
得分: 0
你可以在 DALEX::model_parts 函数中使用 variable_groups 参数。
英文:
You can use variable_groups argument in DALEX::model_parts function.
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