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eXplAInability

Numerical and visual tools to analyse the explainability of partial dependence functions.

Partial dependence plots are a popular tool to analyze black box machine learning models. The repo provides an R package that computes the explainability of a PDP, which is a measure to quantify how far a PDP is able to explain a model.

Supported functionalities:

  • ...computation of explainability,
  • ...matchplot of PDP vs. model predictions,
  • ...computation of a forward variable selection based on explainability,
  • ...visualization of 2D PDP vs. unexplained residual predictions,
  • ...scatterplot matrix of 2D partial dependence plots.

Details are described in this paper. The examples are taken from the paper.

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