By A Mystery Man Writer
Using SHAP with Machine Learning Models to Detect Data Bias
Jan BOURGOIS, Full Professor, PhD
Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP
Interpretability part 3: opening the black box with LIME and SHAP - KDnuggets
python - Machine Learning Feature Importance Method Disagreement (SHAP) - Cross Validated
Explaining ML models with SHAP and SAGE
Frontiers Adulteration detection in minced beef using low-cost
The Shapley (SHAP) values and feature importance of the 1st-level
Feature importance based on SHAP-values. On the left side, the
PDF) Adulteration detection in minced beef using low-cost color
Explainable AI (XAI) with SHAP -Multi-Class Classification Problem, by Idit Cohen
Data analysis with Shapley values for automatic subject selection in Alzheimer's disease data sets using interpretable machine learning, Alzheimer's Research & Therapy
Jan BOURGOIS, Full Professor, PhD
Feature importance and SHAP value of features in machine learning