Skip to content
#

wmshap

Star

Here is 1 public repository matching this topic...

haghish / HMDA

Star 1

Holistic Multimodel Domain Analysis: A New Paradigm for Robust, Transparent, And Reliable Exploratory Machine Learning that Considers Cross-Model Variability in Feature Importance Assessment

reproducible-research feature-importance explainable-artificial-intelligence explainable-ai explainable-ml exploratory-modelling shapley-values explainable-machine-learning shapley-additive-explanations multimodel-ensemble feature-selection-methods holistic-modeling transparent-ai weighted-mean-shap wmshap holistic-multimodel-domain-analysis exploratory-machine-learning reproducible-ai robust-feature-selection ensemble-feature-importance
  • Updated Mar 31, 2025
  • R

Improve this page

Add a description, image, and links to the wmshap topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the wmshap topic, visit your repo's landing page and select "manage topics."

Learn more