Explaining the output of machine learning models with more accurately estimated Shapley values
-
Updated
Jun 11, 2026 - HTML
#
shapley
Here are 3 public repositories matching this topic...
Counterfactual SHAP: a framework for counterfactual feature importance
machine-learning xgboost feature-importance explainable-artificial-intelligence explanations explainable-ai explainable-ml shapley tree-based shap explainability counterfactual-explanations shapley-values feature-attribution counterfactuals explainable-machine-learning algorithmic-recourse facct2022
-
Updated
Jul 6, 2023 - HTML
Shapley Values with H2O AutoML Example (ML Interpretability)
-
Updated
Mar 17, 2019 - HTML
Improve this page
Add a description, image, and links to the shapley topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the shapley topic, visit your repo's landing page and select "manage topics."