Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
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Updated
Jul 30, 2024 - R
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
SHAP Plots in R
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Tools to Support Relative Importance Analysis
Purely presence-only species distribution modeling with isolation forest and its variations such as Extended isolation forest and SCiForest.
use XGBoost and Adaboost to predict heart disease and use SHAP to explain the potential factors behind the result.
This repository consists the supplemental materials of the paper "Decomposition of Expected Goal Models: Aggregated SHAP Values for Analyzing Scoring Potential of Player/Team".
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Application on Markov Chain and Removal Effect (Attribution Modeling)
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