A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- based variable importance measures, this package also provides a novel approach based on partial dependence plots (PDPs) and individual conditional expectation (ICE) curves as described in Greenwell et al. (2018) <arXiv:1805.04755>.
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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